3151results about "Time-division multiplex" patented technology

The invention relates to the field of electronic communication, and provides a multi-protocol dynamic switching method and system based on an FPGA. The method comprises the following steps: carrying out regional division on an FPGA chip through a layout planning tool to obtain a static logic region and a plurality of reconfigurable logic partitions; performing hanging processing on the current protocol module based on the protocol switching trigger signal, and writing running state data of the current protocol module into a state cache unit to obtain protocol context snapshot data; according to the target protocol type, bit stream loading is carried out on the corresponding reconfigurable logic partition through configuration of an access port, and a reconfiguration protocol module is obtained; and reading protocol context snapshot data, and performing state recovery on the reconstruction protocol module to obtain a target protocol data path. According to the invention, rapid protocol switching is realized, the utilization rate of hardware resources is improved, and the system deployment cost is reduced.

The invention discloses a vehicle-mounted cross-protocol data time sequence cooperative processing method, which comprises the following steps: establishing a unified time reference, and providing an accurate space-time coordinate system for heterogeneous network nodes by electing a global master clock and constructing a clock relation model and a periodic correction mechanism; systematic cognition and management of communication resources are realized, and a verified protocol capability table is generated by automatically identifying protocol types and variants; constructing an automatic mapping system from demand to execution, performing formalized packaging on a target scene by introducing a unified intermediate model, generating a cross-protocol mapping rule based on the model and a protocol capability table, and then forming a global scheduling table in combination with a unified time reference; the cooperative communication of all nodes is finally realized by using the global scheduling table, and the end-to-end delay is constrained within the preset range, so that the problem that the end-to-end time sequence in the vehicle-mounted heterogeneous network is uncontrollable is solved, and the controllability and reliability of the time sequence of the vehicle-mounted network are improved.

The invention discloses a low-altitude unmanned aerial vehicle trajectory tracking and monitoring method based on a 5G-A communication sensing integrated base station, and relates to the technical field of low-altitude traffic management and communication sensing fusion, and the method comprises the steps: firstly collecting multi-source data such as a communication sensing fusion signal, environment interference and unmanned aerial vehicle attributes, and carrying out the alignment and packaging of a unified timestamp and a coordinate system into a synchronous data frame; then, deep fusion and anti-interference processing are carried out on the data frames, noise is filtered out, and pure fusion data is generated; and furthermore, real-time track calculation and motion trend prediction are carried out on pure data by utilizing multi-base-station cooperative calculation and prediction. Based on this, through a multi-target feature recognition and clustering separation mechanism, independent individual trajectories are accurately stripped from a complex mixed data stream, and compliance verification and anomaly judgment are performed on the trajectories in combination with an airspace rule base. In this way, the problems of signal interference and multi-target aliasing in a complex environment can be effectively solved, and therefore high-precision global tracking of the low-altitude unmanned aerial vehicle and real-time monitoring of abnormal behaviors are achieved.

The invention relates to the technical field of edge computing, in particular to a safety production monitoring method based on edge collaboration, which comprises the following steps: collecting multi-node clock pulses, calculating adjacent time differences to form a pulse difference parameter set, carrying out statistical distribution, setting a dynamic tolerance boundary, and constructing an effective deviation parameter set; the method comprises the following steps of: generating a weighted smooth deviation result by combining clock stability and link delay weighted normalization, sorting monitoring data according to a timestamp to identify duplication abrupt change exception, constructing a cross-node exception time sequence by associating nodes and time information, and judging a safety state transition result of equipment. A time difference parameter is constructed through multi-node reference pulse arrival time, a dynamic deviation constraint is formed by combining distribution characteristics, clock stability and link measurement weighted smoothing are introduced, cross-node time reference consistency is kept, operation data unified time sequence rearrangement is carried out, a sudden change event reliably reappears in a time window, and an abnormal identifier is associated with a node identity. And forming a cross-node event evolution link.

The invention relates to the technical field of urban public safety, in particular to an underground gas pipe network safety pre-warning system, which comprises an acquisition module, a monitoring module, a monitoring module and a control module, and is characterized in that the acquisition module is used for arranging sensing nodes at key positions of a gas pipeline body and a surrounding environment to form a distributed monitoring network; the method comprises the following steps: synchronously acquiring mechanical deformation, methane concentration and mechanical vibration data of a pipeline through a distributed monitoring network to obtain a multi-modal sensing data set; the fusion module is used for performing humidity and temperature interference correction on the methane concentration data in the multi-modal sensing data set to obtain corrected methane concentration data; and performing fusion processing on the mechanical deformation data, the mechanical vibration data and the corrected methane concentration data to obtain an initial pipeline safety state evaluation index. Through multi-source data fusion, environmental interference correction and spatial domain calibration, transmission and dynamic analysis are combined, and precise early warning and efficient linkage disposal of the safety state of the gas pipe network are achieved.

The invention discloses an HPLCamp (High Performance Liquid Chromatography) based on deep learning. The invention discloses an HRF dual-mode communication adaptive coding modulation and anti-noise method. The method comprises the following steps: acquiring an optical radio frequency signal amplitude-phase change rate and synchronously sampling and normalizing; calculating a node amplitude-phase residual error to generate a nonlinear mapping coefficient; monitoring coherent change to solve a drift trend, adjusting a modulation coding optimization scheme, compensating distortion and outputting an anti-noise result. According to the method, the instantaneous amplitude and phase of the optical radio frequency dual-mode signal are extracted, a multi-dimensional amplitude-phase characteristic matrix is formed in combination with time domain synchronization and a normalization template, differential residual modeling and nonlinear mapping coefficient calculation are carried out between impedance nodes, and dynamic compensation of amplitude-phase mismatch and envelope offset is achieved. A drift trend quantity is generated based on coherent offset parameter differentiation, feedback is provided for modulation format and coding strategy optimization, amplitude equalization and phase correction are completed, the signal synchronization degree and amplitude-phase consistency are improved, and the steady-state response and anti-disturbance performance of a transmission link are enhanced.

The invention belongs to the technical field of signal synchronization, and discloses a multi-camera anti-shake time sequence synchronization control system and method based on an FPGA. The method comprises the following steps: taking an FPGA as a core, generating an FSYNC signal as a camera exposure reference, and obtaining a delay value through a timestamp and differential measurement; acquiring I MU data and obtaining a global motion vector through a gradient descent algorithm; analyzing by combining the two to obtain phase deviation and feeding back the phase deviation to the FPGA, and adjusting the FSYNC signal by combining the global motion vector by the FPGA according to the phase deviation; according to the method, nanosecond timestamp recording is realized through a homologous clock reference and hardware-level signal binding mechanism, and the limitation of dependence on static time difference compensation in the prior art is broken through in combination with global motion vector analysis and dynamic phase offset adjustment.

The invention discloses a multi-mode fusion time service method and system based on dynamic calibration of DCP equipment. The method comprises the following steps: completing initial time reference data acquisition based on a multi-mode satellite signal; meanwhile, time data of a ground time service network are collected, and motion parameters of DCP equipment are monitored in real time through an inertial navigation unit; establishing a correlation model of the motion parameter and the time service error; quantitative analysis of error sources is completed based on the correlation model; fusing the multi-source time data; dynamically adjusting the fusion weight of each data source according to the real-time motion state of the DCP equipment; redundant time slots are automatically distributed to high-error equipment; outputting the calibrated time signal to DCP equipment through an interface to complete clock synchronization; and continuously monitoring the time deviation of the DCP equipment, and dynamically updating the calibration parameters to form closed-loop optimization. And the environmental adaptability and the precision stability of the timing system are improved.

The invention discloses a multi-device cooperative online control system and method, belongs to the technical field of multi-device cooperative control, and aims to solve the problems of low synchronization precision and response lag during multi-device cooperative action. Triggering and responding execution equipment is accessed and identified, time reference deviation is calibrated, triggering state and auxiliary state data are received to construct a multi-dimensional state data set, triggering conditions are analyzed and judged, and a click-through triggering initial signal is generated and then compared with a sequence tail end signal timestamp so as to update a sequence and transmit the sequence to a central control platform in an incremental mode; measuring communication delay through a test signal, generating and iterating an online control instruction in real time to drive equipment to cooperatively act, identifying an optimization instruction according to the type, and dynamically updating through an updating interface; and constructing a correction data set based on the returned execution state feedback, and calculating an execution deviation to correct the online control instruction. Finally, high-precision synchronization and efficient response of cooperative actions of multiple devices are realized, and the stability and adaptability of an online control system are improved.

A low-delay multi-protocol intelligent lighting synchronization system based on a unified abstraction layer comprises the steps that an instruction from a multi-protocol bridging module is received, and network round-trip time data of terminal equipment is acquired through an active detection mechanism; based on the network round-trip time data, adopting a Kalman filtering algorithm to construct a delay prediction model so as to predict the future network delay of the terminal equipment; inputting the instruction into a third-stage buffer area for processing, and dynamically adjusting the trigger frequency of the active detection mechanism according to the load state of the third-stage annular buffer area; calculating queue delay of the buffer area according to the received load state of the buffer area, and obtaining final sending time of the instruction in combination with future network delay of the terminal equipment; and at the final sending time, sending the instruction from the sending buffer area to the corresponding terminal equipment. According to the system, low-delay and high-stability synchronization of cross-protocol equipment in the field of intelligent illumination is realized.

One or more computer-readable media (CRM) storing instructions for monitoring quality of-service (QoS) flows in a wireless cellular network are disclosed. The instructions, upon execution by one or more processors, cause the one or more processors to: obtain a signal in the wireless cellular network; determine, based on the signal, a QoS flow event for a session management function (SMF); determine performance measurements related to the QoS flow event; and modify at least one of the QoS flows in the wireless cellular network based on the performance measurements. Example QoS flow events include a request to create or modify a QoS flow, a successfully created or modified Qos flow, a QoS flow that failed to be created or modified, etc.

The invention discloses a multi-protocol high-speed image data receiving and aligning method and system based on an FPGA (Field Programmable Gate Array), and relates to the technical field of electronic information and image processing. Serial data streams from an image sensor are received, an FPGA serial input primitive is dynamically called to convert serial data into parallel data; a low-voltage differential signal protocol, a mobile industry processor interface protocol and a serial low-voltage signal protocol are supported; a configurable sliding window mechanism is adopted to compare synchronous codes in real time, and byte boundaries are locked; by identifying the time difference of arrival of data of each channel, multi-channel phase alignment is realized by adopting hardware-level delay compensation, and data arriving at the channel in advance is compensated by adopting a first-level register cache; and analyzing frame header and frame tail information of the image data, reconstructing an original image matrix and generating a video time sequence signal. The problems of poor compatibility and high resource consumption in multi-protocol high-speed image data receiving are solved.

The embodiment of the invention provides a time-space synchronization method and device, electronic equipment and a medium, which are used for solving the problem of inaccuracy of a local clock in related technologies. In the embodiment of the invention, the electronic equipment combines the average deviation pseudo-range, the RTT jitter and the target frequency offset into the multi-dimensional observation vector, so that the error source of clock synchronization is fully covered. The time deviation and the frequency deviation of the clock are accurately and effectively determined through a Kalman filtering algorithm, recursive processing of observation vectors and dynamic estimation of the time deviation and the frequency deviation of the clock, and high-precision synchronization of the local clock in a complex environment is achieved in combination with the optimization capability of the Kalman filtering algorithm. And the time of the local clock is the time determined according to the time of the multiple clocks, so that the clocks are more accurate.

The invention discloses a wide-area time traceability credible authentication method in a power heterogeneous network environment, and belongs to the technical field of power system informatization and automation. Comprising the following steps: acquiring various high-precision time source information in a power heterogeneous network environment, and acquiring an initial time reference of the power system time synchronization device; generating uniform reference time, and embedding a digital watermark containing time source information and credibility thereof for each timestamp by using the digital watermark embedding module; controlling the power system time synchronization device to sequentially generate time transmission fingerprints at all levels of network nodes; constructing a unique time fingerprint chain covering the whole link; packaging the time fingerprint of each time transmission node and the traceability information thereof, and performing uplink storage; precise prediction and optimal control of time transmission errors are realized; if the overall cumulative time error exceeds a range of + / -10 [mu] s, the predictive correction is maintained until the error is controlled within + / -10 [mu] s.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention relates to the technical field of communication quality, and particularly discloses an acquisition terminal for communication quality monitoring, which comprises an electric energy meter interface module for reading an instrument value from an electric energy meter; the time synchronization module is used for aligning the terminal clock to the coordinated world time and generating a time frame with 1s as granularity; the communication quality monitoring module is used for measuring a communication quality index and calculating a value at the 95% position within a preset statistical time period as a statistical result preset statistical time period; the data slicing and counting module is used for forming 10T0 fragments according to 10 fundamental wave periods in each time frame; the caching and out-of-order correction module is used for performing grouping, out-of-order rearrangement and missing compensation on instrument values and communication quality indexes according to the same time frame before uploading and completing framing in a waiting window; and the alarm and uploading module is used for outputting a local alarm by taking the value of the 95% position as a statistical result. According to the invention, the overall end-to-end time delay of the acquisition terminal is reduced.

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 heterogeneous vehicle cooperative control method based on the combination of a semantic potential field and an artificial potential field, and belongs to the technical field of automatic driving collaboration.The method comprises the steps that environment data are collected through a vehicle-mounted sensor of an automatic driving heterogeneous vehicle, and the environment data comprise the position and speed of the surrounding automatic driving heterogeneous vehicle and distribution of static obstacles; setting a vehicle type, a task type, a task priority and a real-time state of the vehicle, generating a corresponding semantic tag, and constructing a semantic potential field; constructing an artificial potential field, and calculating static obstacle repulsive force and gravitational force of a target position; generating a comprehensive potential field, and planning a driving path of the automatic driving heterogeneous vehicle; transmitting a key semantic tag by adopting an event triggering communication rule, and transmitting the semantic tag through a local cache and a priority queue when the communication is limited; through a distributed game theory, path conflicts among automatic driving heterogeneous vehicles are eliminated. According to the invention, the cooperative efficiency of the automatic driving heterogeneous vehicles is improved, and the path conflict of the vehicles is effectively eliminated.

The invention discloses a video time synchronization processing method and system based on a high-precision network timing protocol. According to the method, time frequency traceability is provided for an internal taming clock module and a clock synchronization module of a processing host through second pulse signals; the internal taming clock module selects to execute a clock taming operation or switch to a self-travel time mode according to whether the external time reference exists or not; according to the time synchronization detection result of the video synchronization processing module, if it is judged that the time synchronization difference between different cameras exceeds a preset range, hardware trigger signals are sent to the cameras through an external trigger generation module, so that camera parameters are adjusted, and key frames are generated; and the video synchronous processing module identifies key frames generated by the multiple cameras by adopting an image definition evaluation method, and completes time axis alignment of the video streams of the multiple cameras based on the key frames. According to the invention, the problem of low synchronization precision or accumulative error and network jitter in the prior art is solved; the time delay after the software is aligned is high, and the camera and the processing host lack feedback linkage.

The invention discloses a mutual inductor digital output synchronism detection method and system, particularly relates to the field of electric power engineering detection, and is used for solving the problem of synchronism deviation concealment caused by phase-locked loop drift of digital output of an electronic mutual inductor in an intelligent substation. A uniform time frame is utilized to penetrate through the whole process, synchronization deviation is continuously mapped into a phase migration track, long-term drift and instantaneous jitter are analyzed on two scales by means of phase shift stacking quantity and pulse dispersion rate, two kinds of heterogeneous features are converted into a single drift tradeoff coefficient through Gaussian process regression, and a stability domain threshold value is dynamically revised according to the single drift tradeoff coefficient; after the threshold is triggered, the minimum adjustment amount is immediately issued to the phase-locked loop and is synchronously verified, so that the clock adjustment action and the drift monitoring are mutually nested; the protection device continuously receives the stable sampling sequence, the tripping misjudgment rate is remarkably converged, the inspection period is prolonged, and additional hardware investment is not needed.

The invention discloses an earthquake early warning device and method based on campus broadcast, and the method comprises the steps: carrying out the building response coupling analysis through receiving an early warning signal of an earthquake monitoring center, generating an earthquake magnitude-building coupling feature, and mapping the earthquake magnitude-building coupling feature into an enhanced early warning source adaptive to an acoustic environment; acoustic cavity detection is carried out based on threatened area identification, and differential playing topology is constructed; extracting a high-risk gathering area through personnel density scanning, generating personalized evacuation guiding content and determining a playing priority; high-precision time sequence control is realized by adopting a synchronous reference anchor point technology, and a multi-mode playing domain is constructed through carrier modulation and frequency division multiplexing; and finally, an acoustic navigation field is utilized to guide accurate scheduling and playing of audio signals, differential playing and accurate coverage of early warning information can be realized according to the anti-seismic characteristics and acoustic environment characteristics of different buildings, and an intelligent acoustic solution is provided for campus earthquake early warning.

The invention provides a drainage basin level dam monitoring data standardized integration and cooperative processing method and device, and the method comprises the steps: building a four-dimensional unified data model, and carrying out the standardized mapping of space, time, equipment and business dimensions of multi-source heterogeneous monitoring data; deploying a self-adaptive protocol analyzer, automatically analyzing an equipment document based on a natural language processing technology, generating a protocol conversion rule, and realizing dynamic conversion of various industrial protocols; performing local cleaning, compression, encryption and time sequence feature extraction on the standardized data through an edge computing node to generate a data packet in a unified format; a transmission path is dynamically optimized according to channel quality by using an intelligent routing selection model based on Q-learning, and multi-mode hybrid transmission of a data packet among LoRaWAN, 5G and Beidou short messages is realized. Standardized integration and intelligent cooperative processing of multi-source heterogeneous dam monitoring data in a drainage basin are achieved, information islands are effectively eliminated, the comprehensive operation and maintenance cost is reduced by 30% or above, and the security situation awareness timeliness is improved to the minute level.

The invention discloses an iron tower operation safety early warning system and method, and relates to the technical field related to intelligent safety early warning, and the system comprises a data obtaining unit which is used for obtaining Beidou three-dimensional coordinate data and an operation site panoramic image in real time; the operation scene model establishing unit is used for establishing a dynamic three-dimensional operation scene model; the prediction model building unit is used for tracking the motion trail of each operation target based on the coordinate data and building a prediction model fusing kinematics rules and machine learning; and the risk level judgment unit is used for carrying out risk level judgment according to the spatial position and the attribute characteristics of the intersection area and generating operation early warning information. The technical problems of insufficient safety early warning accuracy and timeliness caused by insufficient high-altitude operation target dynamic track monitoring precision and risk early warning lagging in the prior art are solved, and the purposes of accurately identifying the movement track intersection risk in real time, dynamically evaluating the safety level and improving the safety early warning efficiency are achieved. And the early warning accuracy and timeliness of the operation safety of the iron tower are improved.

The invention belongs to the technical field of data analysis and processing, and particularly relates to an equipment state monitoring method based on a time sequence synchronous compression mechanism, and the method comprises the steps: 1, a monitoring terminal collects vibration type, acoustic type and acceleration type signals on a unified time baseline of Beidou time service signals, and registers a second sequence number and a frame sequence number in a unified fragment index table; 2, inputting an original time sequence data packet, constructing a phase grid frame by a phase locking ring according to a reference phase rail, extracting road-level flag event bits frame by frame, and fusing the road-level flag event bits into frame-level flag event bits; and step 3, outputting an equipment state label according to a mutual exclusion priority rule only on the basis of the synchronous compression time sequence packet and the coupling mark, the mode instruction and the abnormal fragment mark in the unified fragment index table in the identification window. The method is obviously superior to the prior art in the aspects of time sequence alignment precision, pattern recognition certainty, data compression efficiency and health state judgment reliability.

The invention relates to the technical field of audio control, and discloses a distributed audio group mute and recovery method and system, a storage medium and a device, and the method comprises the steps: determining a master device in a distributed audio network, and enabling the master device to find and register a plurality of slave devices to establish an audio group; receiving a group mute or recovery instruction sent by a user through the master device, and performing validity verification on the instruction; the master device allocates a uniform timestamp to the verified instruction, and sends a synchronous control command to all slave devices in the group based on the timestamp; the slave equipment executes mute or recovery operation at the moment corresponding to the timestamp, synchronous response of the equipment in the group is realized, all the equipment is ensured to accurately and synchronously execute the mute / recovery operation through unified management of the master equipment and the adoption of global timestamp synchronization and adaptive delay prediction technologies, and an intelligent state monitoring and exception recovery mechanism is provided, so that the service life of the slave equipment is prolonged. Finally, efficient and reliable multi-room audio group control with excellent user experience is realized.

The invention discloses a synchronization method and device for time synchronization of a network system, and relates to the technical field of computers, and the method comprises the following steps: when a master station sends a dynamic compensation synchronization frame, recording a compensation sending timestamp in a sensing identification field of a sending end; when the frame is received and transmitted from the station, the identification field is sensed at the port to determine a compensation receiving timestamp and a compensation transmitting timestamp. And the slave station identifies the dynamic compensation synchronization frame after reverse return, calculates dynamic compensation time information based on the compensation receiving timestamp and the compensation sending timestamp corresponding to the slave station, and reads and writes the dynamic compensation time information to a corresponding field. And the master station analyzes the returned dynamic compensation synchronization frame, aggregates the dynamic compensation time information of each slave station, and solves the dynamic compensation values of the master and slave stations in combination with the fixed link delay. And the master station corrects a local high-precision clock according to the data, and writes a compensation value into a local time correction register of the slave station to trigger a hardware counter to correct so as to complete synchronization of the master and slave clocks. By realizing dynamic residence separation, the problem of overlarge error is solved.

This application provides a clock recovery method, an apparatus, and a system, and may be applied to a destination device in an optical transport network. The method includes: obtaining first phase difference information, and generating target phase difference information based on the first phase difference information and accumulated phase difference information, where the target phase difference information is used to recover a clock of a first data frame. The first phase difference information is a sum of input phase difference information and a local phase difference. The input phase difference information is a sum of phase differences between one or more groups of two adjacent upstream devices in one or more upstream devices of a destination device through which the first data frame passes. A value of the target phase difference information is a first value, a second value, or 0. The accumulated phase difference information is an accumulation of differences between historical first phase difference information and historical target phase difference information that are present before a destination device obtains the first phase difference information. According to the clock recovery method provided in this application, accuracy of clock recovery of an OTN frame can be improved, to improve system reliability.

The invention provides an inter-device time synchronization method and device, and the method comprises the steps: carrying out a handshake operation with a to-be-synchronized device based on a pre-constructed communication channel in response to the triggering of a time synchronization operation, and recording the local end timestamp information and the synchronization end timestamp information of the handshake operation, and reading synchronization end timestamp information according to a feedback message sent by the to-be-synchronized device, determining a clock skew value of the to-be-synchronized device and a synchronization confidence coefficient of the time synchronization based on the local end timestamp information and the synchronization end timestamp information, and matching a time synchronization strategy according to the clock skew value and the synchronization confidence coefficient, so that the to-be-synchronized device performs time synchronization correction. And determining a synchronization interval duration according to the synchronization confidence and the clock skew value, so as to execute the next time synchronization operation according to the synchronization interval duration, the timestamp information is recorded through the handshake operation, the clock skew and the synchronization confidence coefficient are determined, the time synchronization strategy is matched, the synchronization interval is determined, and the problems that the synchronization precision is insufficient and the strategy is not flexible are solved.

The invention provides a large-scale computing power cluster-oriented resource collaboration and time synchronization method and system, and relates to the technical field of computing power network architecture. Firstly, resource registration and state maintenance are carried out on a computing power node through an authoritative DNS; after a task is received, the system intelligently selects an optimal target computing power node and plans a data transmission path; in order to realize accurate collaboration, the system dynamically creates a clock synchronization domain according to a task, elects a master clock and plans an optimal clock synchronization path; and finally, the system encapsulates and packs the optimal task data transmission path, the main clock timestamp and the optimal clock synchronization path identifier, and distributes the data to related nodes, so that efficient coordination and high-precision time synchronization of resources are realized. According to the method, optimal matching of tasks and resources is achieved, the high efficiency of data transmission is guaranteed, the precision and reliability of time synchronization are guaranteed from a physical link, and finally efficient coordination and high-precision time synchronization of the resources in the computing power cluster are achieved.

The invention relates to the technical field of meteorological early warning, and discloses a meteorological AI abnormity early warning method and system for extreme weather risk perception, and the method comprises the steps: collecting and preprocessing multi-source meteorological data, and obtaining standardized multi-source meteorological data; feature extraction and anomaly recognition are carried out on the standardized multi-source meteorological data in the continuous time period, and preliminary risk information and a first confidence value are obtained; and constructing a space-time diagram model and applying consistency constraint in the training and reasoning process of the space-time diagram model to obtain a risk identification result. And according to the risk identification result, determining a dynamic alarm threshold value to generate graded meteorological anomaly alarm information, and adjusting the sampling frequency. And sending the meteorological abnormity alarm information and the sampling adjustment instruction to a cloud platform and a terminal display device, and carrying out risk perception and early warning release of extreme weather. According to the invention, high-credibility, low-time-delay and full-period dynamic perception and hierarchical response of extreme weather risks are realized.