377 results about "Time deviation" patented technology

The invention provides a real-time deviation analysis method and system for grid-connected operation data of a new energy station, and relates to the technical field of data deviation analysis, and the method comprises the steps: collecting the real-time grid-connected operation data of the station, and carrying out the adaptive decomposition based on a data fluctuation trend, and obtaining a plurality of groups of original feature sequences; screening features through a recursive support degree model and information entropy, and generating a reconstructed feature matrix by using a manifold embedded network; the double-branch verification network analyzes the features from the time sequence and the frequency domain, and generates time sequence feature vectors and frequency domain feature vectors; the topological continuous coherence analyzer extracts the topological relation between the features; the dynamic coupler constructs a multi-dimensional feature space, a deviation source is tracked, analyzed and positioned through a feature propagation link, and a propagation path is established; constructing a fractional order differential operator based on a propagation path, depicting a long-range dependency relationship among parameters, generating a dependency intensity matrix, performing causality test, constructing a dynamic causality graph, quantifying contribution degrees of propagation nodes, analyzing a deviation evolution mechanism, and outputting a deviation analysis result.

The invention discloses a time scale algorithm based on Kalman filtering and fusion weight. The time scale algorithm comprises the following steps: acquiring time deviation data and frequency deviation data of an atomic clock; calculating a time deviation optimal estimation value and a frequency deviation optimal estimation value of the atomic clocks in the clock group by adopting a Kalman filter, and calculating a time deviation optimal estimation value residual error and a frequency deviation optimal estimation value residual error of the atomic clocks in the clock group; calculating a fusion weight according to the time optimal estimation value residual error and the frequency optimal estimation value residual error of the atomic clocks in the clock group; and calculating a time scale through a time scale basic equation based on the fusion weight. According to the method, prediction values of time deviation and frequency deviation are improved through introduction of a Kalman filtering process, the noise influence of an atomic clock is reduced, and the real-time performance of a time scale is improved; and the time deviation residual error and the frequency deviation residual error are fused to calculate the weight of the atomic clock, so that the time scale with higher stability is established, and the medium and short term stability of the time scale is effectively improved.

The embodiment of the invention discloses a low-orbit navigation enhanced transmitting terminal time difference calibration method, device and equipment and a medium, and relates to the technical field of satellite navigation, and the method comprises the steps: obtaining a low-orbit satellite satellite-borne receiver clock error, ground observation station coordinates, an observation station receiver clock error and other parameters through calculation of observation data of a GNSS satellite; the ground observation station calculates an inter-system deviation between a low earth orbit satellite system corresponding to each low earth orbit satellite and a GNSS system according to the downlink navigation data of each low earth orbit satellite; and selecting one low-orbit satellite as a reference satellite, obtaining the deviation between reference systems, calculating the time deviation of the navigation enhancement transmitting end of the deviation between other systems and the deviation between the reference systems, and compensating the clock error of the corresponding low-orbit satellite based on the parameter. The method can be used for calibrating the relative time difference of each low-orbit satellite navigation signal transmitting end, realizes low-orbit navigation signal time synchronization, is beneficial to improving the positioning, navigation and time service capabilities of a low-orbit satellite system, and provides more accurate services for users.

The invention relates to the technical field of data processing, and provides a multi-source heterogeneous data fusion sky-ground intelligent monitoring system which obtains ground sensor network data and satellite remote sensing data, and carries out space-time calibration on the obtained ground sensor network data and satellite remote sensing data; a multi-dimensional space-time correlation model is constructed, the data calibrated by the space-time dynamic calibration module is further analyzed, and the fusion weight of a space and time correlation matrix is optimized; collaborative correction of multi-source data is implemented, the space-time joint incidence matrix is optimized, and space and time deviations are eliminated; and finally fusing and calibrating the processed multi-source heterogeneous data, and providing data output. According to the method, the multi-source data can be fused under the same precision, the dynamic response capability of the system to the credibility of different data sources is improved, errors caused by data deviation and inconsistency are effectively reduced, and the precision and reliability of a monitoring result are improved.

The invention provides an autism assessment system and method based on multi-modal time sequence data fusion, and relates to the technical field of children autism spectrum disorder assessment calculation processing. The invention innovatively provides a dual time sequence alignment method based on dynamic time warping (DTW) and LSTM prediction, the problem of time sequence dislocation of cross-modal data (heart rate / eye movement / limb movement) caused by acquisition frequency difference is solved, millisecond-level synchronization precision is realized, the technical problem of cross-modal data time sequence dislocation in an existing autism assessment system is solved, and the accuracy of time sequence alignment of the cross-modal data in the autism assessment system is improved. The small-range time deviation caused by acquisition equipment delay or physiological response difference is eliminated, and the robustness and reliability of the autism evaluation system are improved.

The invention provides a wind power control system based on wind speed prediction, and relates to the field of intelligent scheduling control, and the system obtains a time sequence of real-time wind speed values and historical data of the wind speed values in a preset time period, encodes the real-time wind speed time sequence and historical subsequences respectively, extracts global long-term dependence and local disturbance characteristics, and carries out the prediction of the wind speed values according to the global long-term dependence and local disturbance characteristics. Semantic association of real-time features and historical similar scenes is dynamically fused through decision anchor points, a high-precision wind speed prediction value is generated based on fusion, real-time deviation analysis of the prediction value and cut-out wind speed is carried out, and a hierarchical power limiting strategy is triggered by combining a dynamic threshold adjustment mechanism. According to the scheme, the nonlinear time sequence rule of the wind speed is automatically captured through deep learning, the actual working condition change is dynamically responded, the prediction precision is effectively improved, the control delay is shortened, the power generation efficiency is optimized, and the power grid voltage stability is guaranteed.

The invention relates to the technical field of synchronous acquisition, in particular to a multi-camera synchronous data acquisition method and system, and the method comprises the following steps: based on a real-time video stream of a camera, analyzing a video frame, recognizing a moving object in a differentiated video stream, and carrying out the recognition of the moving object in the differentiated video stream; and synchronously recording the occurrence time and position change of the moving object in the differentiated camera to obtain view angle change data. According to the invention, the angle and focal length of the camera are synchronously adjusted to cope with the view angle change of different scenes, and the trigger time of the camera is uniformly configured and is synchronously started through the network, so that the time deviation is reduced, the analysis of the synchronous trigger data set and the timestamp adjustment are synchronously triggered, and the synchronization between the cameras is optimized; the consistency and synchronism of the video streams obtained from different angles are ensured, the data transmission parameters are dynamically adjusted according to the network condition, the efficiency and synchronization precision in the data transmission process are improved, and the influence of network delay and bandwidth change is effectively dealt with.

The invention relates to the technical field of meteorological monitoring, in particular to a ring main unit lightning micrometeorological online monitoring system and method, and the system comprises a feature extraction module, a frequency spectrum detection module, a frequency band pool screening module, a path adjustment module and an interference avoidance module. The method comprises the following steps: collecting an electric field intensity extreme value sequence, calculating a change rate difference ratio, identifying thunder and lightning precursor characteristics, combining a frequency spectrum energy density map, analyzing an energy peak frequency band and a drop point of a frequency hopping signal, judging a thunder and lightning frequency signal concentration area, performing frequency spectrum interference filtering, and combining a dynamic time warping algorithm. The time deviation between a lightning stroke time point and frequency hopping scheduling is analyzed; a frequency hopping path is adjusted in real time; the response timeliness is improved; the difference value before and after electric field disturbance is monitored; and support is provided for monitoring stability and response adaptability of the thunder and lightning risk environment.

The invention provides a digital twin model correction method and system based on machine vision. The method comprises the steps that a comprehensive data set is constructed by collecting sounding data, tidal flow velocity data and unmanned aerial vehicle images, wave disturbance deviation and water surface reflection distortion are eliminated based on geometric feature matching, and a dynamic compensation coefficient is generated in combination with tidal parameters; after time deviation of sounding data is corrected, a dynamic incidence relation between terrain elevation and sediment migration rate is calculated, a digital twinborn model fusing sedimentary layer thickness distribution and tidal flow velocity driven erosion boundary prediction is established, and a visual terrain curved surface is generated; through reverse verification of real-time sediment accumulation characteristics and terrain curved surfaces, migration rate weight parameters are adjusted in a self-adaptive mode, and dynamic optimization of the model is achieved. High-precision dynamic coupling simulation of sea area terrain evolution and sediment migration is achieved, the real-time performance and reliability of island surface change prediction are improved, and coastal zone safety and economic collaborative decision making is supported.

The invention provides an AGC signal intelligent correction and control method, device, equipment and medium, and the method comprises the steps: collecting an AGC instruction signal of a power grid dispatching side, an actual power feedback signal of a power plant side and a unit operation state parameter, and constructing multi-source heterogeneous data; inputting the multi-source heterogeneous data into a pre-trained digital twinborn model to obtain a predicted value of the real power of the unit; calculating a real-time deviation between the predicted value of the real power and the actual power feedback signal, and dynamically compensating the AGC instruction signal based on the real-time deviation to generate a corrected AGC instruction signal; and on the basis of the corrected AGC instruction signal, a feedforward control signal is generated, and is superposed to a basic control instruction of a unit distributed control system (DCS) in an increment form, so that full-load section accurate control is realized, and the problems of accurate correction of the AGC signal, accurate prediction of real power and dynamic compensation are solved.

The invention discloses a production processing data collaborative management system and method of a curtain wall single aluminum plate, and relates to the technical field of data collaborative management. According to the method, the production processing data and the quality detection data of the curtain wall single aluminum plate are collected, the dynamic time warping algorithm is adopted to analyze the time sequence data change between the working procedures, the time deviation and the performance fluctuation between the working procedures are recognized, then the working procedure coordination index is obtained, and the time synchronism and the efficiency matching degree between the working procedures are measured. And performing classification and regression analysis on the quality index of each processing procedure through a decision tree algorithm to obtain a quality stability index, and identifying and predicting quality fluctuation and abnormal modes in different procedures. And judging whether the sequence and priority of the production processes need to be adjusted or not through comprehensive analysis of the process coordination index and the quality stability index. And time inconsistency, efficiency bottleneck and quality fluctuation in the production process are identified, intelligent optimal scheduling of the production process is realized, and the collaborative management level of the production process is improved.

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 relates to the technical field of digital twinning, in particular to a steel structure building construction whole process mechanical property evaluation method based on digital twinning, which comprises the following steps of: acquiring multi-source heterogeneous steel structure state data from a stress sensor, BIM model component information and a displacement monitoring point, comparing timestamps from all data sources, and determining the state of the multi-source heterogeneous steel structure according to the comparison result; and calculating a transmission delay value of each data source relative to the unified reference time, correcting the original data timestamps one by one, and establishing a steel structure state data stream with aligned time sequences. According to the method, the timestamps of the multi-source heterogeneous data are subjected to transmission delay correction through unified reference time, the timestamps of the original data are corrected one by one, the steel structure state data streams with the aligned time sequences are generated, the time deviation among the sensors, the BIM model and the monitoring points is eliminated, and the synchronism and coherence of dynamic changes of mechanical parameters are guaranteed.

The invention relates to the technical field of production management, in particular to an equipment fault alarm method and system applied to production management, and the method comprises the steps: carrying out the signal collection of a vibration signal and a temperature of equipment under a normal operation condition; calculating dynamic characteristic parameters of the equipment operation state, and establishing a reference characteristic model; comparing the real-time measured value with the dynamic change range in the reference feature model one by one, calculating a real-time deviation value, and identifying the abnormality of the running state of the equipment; classifying the abnormal states of the equipment according to the characteristics and the change trend of the deviation value; and adjusting the dynamic change range in the reference feature model, and triggering different alarm levels according to the real-time deviation value. Through the fault detection method and device, the problems that in the prior art, dynamic changes of operation conditions cannot be adapted, deviation characteristics and trends are difficult to analyze, and an anomaly classification and grading alarm mechanism is lacked are effectively solved, the accuracy and adaptability of fault detection are improved, and efficient and reliable decision support is provided for production management.

The invention discloses a fault detection method and system for a fan frequency converter based on big data, and relates to the technical field of fault detection, and the method comprises the steps: arranging a sensor group, and obtaining the real-time operation data of the fan frequency converter; performing entity identification on the historical fault description data to obtain associated parameters of fault types; assigning an initial weight to the associated parameter of each fault type; calculating a real-time deviation ratio, a fault prediction accuracy error and a statistical deviation; calculating a dynamic adjustment coefficient obtained by real-time feedback of each sensor parameter; calculating an error index of each parameter, and optimizing a dynamic adjustment coefficient through a gradient descent algorithm; and calculating a comprehensive fault index by adopting the optimized dynamic adjustment coefficient, and establishing a hierarchical early warning mechanism. The technical problems that potential faults of the frequency converter are difficult to accurately and timely detect in the prior art, so that the operation efficiency of a fan is reduced, even serious consequences are generated, and normal production and operation are influenced are solved.

The invention discloses a cross-chain meteorological and hydrological data consistency verification method oriented to multi-block-chain collaboration, which effectively solves the problem of data alignment caused by inconsistent time standards in a multi-chain environment by collecting multi-source data and generating a data tuple with a geographic identifier and distributing a unified reference timestamp for the data in combination with a physical clock synchronization mechanism. And furthermore, the time deviation is extracted through a layered verification structure and inter-chain cross check, and the timestamp weight is dynamically adjusted, so that the time synchronization precision of the cross-chain data is improved. Finally, a standardized time sequence is generated through segmented aggregation of the data, cross-chain storage is completed, regular backtracking verification is performed in combination with a supervision chain, time consistency and content credibility of the meteorological and hydrological data in the cross-chain circulation process are guaranteed, and efficient collaboration and traceability between heterogeneous block chain systems are achieved.

The invention relates to the field of file detection, and provides a file detection data analysis method and system based on data fusion, and the method comprises the following steps: dynamically adjusting the size of a time window through analyzing the statistical characteristics of a file operation time interval, and generating an anti-splitting composite file fingerprint; the attack probability weight is calculated based on the time deviation, weighted enhancement is performed on the network flow characteristics, and the credibility of the abnormal audit data is reduced; filtering antagonism disturbance characters in the text, and then combining a context window and an attack weight to generate a robust word vector; and introducing a time decay factor to dynamically adjust the semantic similarity weight, and comprehensively calculating the cross-modal feature similarity after aligning the time reference of the multi-source data. According to the method, a file detection and analysis system with anti-escape, self-adaptive and interpretable characteristics is constructed, the defense capability of hidden data leakage is fundamentally improved, and technical transition from single feature matching to cross-modal behavior reasoning is realized.

This application discloses a calibration method and apparatus, an information transmission method and apparatus, and a communication device. The calibration method includes: obtaining, by a first node, first information, and obtaining a first measurement value, where the first information is used to indicate a non-ideal factor existing when at least one sensing node executes a first service, the first service includes a sensing service or an integrated sensing and communication service, and the non-ideal factor includes a factor causing at least one of a frequency deviation, a time deviation, a power deviation, an amplitude deviation, or a phase deviation between the first measurement value and a true value; and performing, by the first node, calibration processing on the first measurement value based on the first information, to obtain a second measurement value, where a sensing result of the first service is determined based on the second measurement value.

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 power system time synchronization tester detection management method, and relates to the technical field of power system testing and monitoring, and the method comprises the steps: S1, connecting each time synchronization tester to a central management platform, and starting initial time synchronization; s2, generating a synchronous correction instruction based on the time deviation data reported by each tester; s3, sending a synchronous correction instruction to each tester, and performing time deviation correction; s4, monitoring the time deviation of each tester in real time, and ensuring the synchronization precision after correction; s5, when it is detected that the time deviation exceeds a preset threshold value, triggering a re-correction process; according to the power system time synchronization tester detection management method, the problem of synchronization coordination caused by inconsistent time deviation correction in a multi-device synchronization process in the prior art is solved.

The invention relates to the technical field of laser displacement meters, discloses a calibration method of a laser displacement meter for a Beidou device based on multi-data coupling, and effectively solves the problems of time delay compensation and data synchronization of cooperative work of multiple devices in a dynamic environment. According to the invention, when a carrier moves at a high speed or environmental parameters suddenly change, submillimeter-level positioning precision can still be maintained, meanwhile, data processing delay is controlled within a millisecond-level range, the reliability of a measurement system under a complex working condition is remarkably improved, and through double marking of a GNSS timestamp and a local clock, the measurement precision is greatly improved. And an accurate time deviation observation value is provided for a subsequent time delay compensation algorithm, so that a time-space unified data basis is established in a data preprocessing stage, and the feasibility of multi-source heterogeneous data fusion is remarkably improved.

The invention provides a multi-source clock synchronization method and device based on a long short-term memory network, and the method comprises the steps: collecting multi-source clock signals outputted by a plurality of clock sources, and carrying out the timestamp alignment of the multi-source clock signals; the multi-source clock signals subjected to timestamp alignment are preprocessed; performing feature extraction based on the preprocessed multi-source clock signal to obtain a multi-source clock feature; inputting the multi-source clock characteristics into a double-layer LSTM network obtained by pre-training, and outputting a predicted time deviation result; and performing judgment based on the predicted time deviation result, and performing time compensation on a local clock according to a judgment result. The method can effectively improve the synchronization precision, is more suitable for non-stationary error characteristics in a complex electromagnetic environment, and improves the reliability of clock synchronization.

The invention discloses a dynamic compensation method and system for laser galvanometer delay and a related device, which are used for realizing dynamic compensation for the laser galvanometer delay and improving the dynamic compensation efficiency at the same time. The method comprises the following steps: firstly, collecting galvanometer data, receiving target galvanometer trajectory data, and constructing a dynamic prediction model of a TCN architecture; thirdly, decomposing the galvanometer data sample into a plurality of sub-tasks, dividing the dynamic prediction model into a plurality of sub-models, and matching the plurality of sub-tasks to the plurality of sub-models to obtain predicted galvanometer trajectory data and predicted galvanometer time deviation data; then, generating a compensation control instruction according to the predicted galvanometer trajectory data and the predicted galvanometer time deviation data, and after the compensation control instruction is triggered, obtaining multi-dimensional deviation data through incremental comparison calculation; and finally, according to the multi-dimensional deviation data, calculating a galvanometer deviation weight, and dynamically updating model parameters of the plurality of sub-models based on a galvanometer deviation weight value and the multi-dimensional deviation data.

The invention discloses a compliance evaluation method, system, medium and equipment for electric power inspection behaviors, and belongs to the technical field of operation and maintenance intelligentization of an electric power system, and the method comprises the steps: obtaining the track data of an inspector, and preset inspection standard data; calculating a time deviation score and a spatial similarity score according to the trajectory data and the inspection standard data; mapping the trajectory data into a three-dimensional grid, generating a space-time cube, extracting space-time features in the space-time cube through a preset convolutional neural network model, and outputting a space-time score; wherein the spatio-temporal characteristics comprise a motion characteristic, a behavior mode characteristic and a path time sequence mode characteristic; and performing weighted fusion on the time deviation score, the spatial similarity score and the space-time score to obtain an inspection behavior compliance evaluation result corresponding to the inspection personnel. Therefore, through implementation of the method, the problems of spatial-temporal feature splitting and insufficient single-dimension scoring precision during power inspection compliance evaluation in the prior art can be solved.

To provide a time synchronization system, a time synchronization program, and a time synchronization method capable of ensuring the accuracy of time synchronization between a plurality of vibration data through highly-free and simple processing or method.SOLUTION: The time synchronization system synchronizes time between first vibration data and second vibration data by using the first vibration data and the second vibration data acquired at separate positions of structures in which vibration occurs. The time synchronization system comprises a calculation unit which is used for estimating time deviation between the first vibration data and the second vibration data, sequentially calculates a plurality of estimation transmission functions each including one of a plurality of temporary estimation values of time deviation, and determines, as a first optimal value for synchronizing time, a temporary estimation value of the time deviation in which a phase value at the estimation transmission function most concentrates in a direction of a binary of 0 and 180 degrees among the plurality of temporary estimation values of the time deviation. The time synchronization program and the time synchronization method are configured to correspond to the above.SELECTED DRAWING: Figure 2

The invention relates to the technical field of digital audio signal processing, and discloses an audio synchronization multipoint PTS correction method and system, a storage medium and a device, and the method comprises the steps: setting PTS calibration points at a plurality of key nodes on an audio processing link of a master device and a slave device, and carrying out the systematic initialization of an initial PTS value of each calibration point; a clock synchronization mechanism between the master device and the slave device is established, and dynamic calibration of a slave device clock is achieved by periodically interacting time synchronization signals and calculating clock offset; performing multi-stage dynamic adjustment and compensation on the PTS value of the corresponding calibration point according to the network transmission delay fluctuation of the audio frame and the received actual coding duration and time deviation; the filling state and the PTS deviation value of the playing buffer area are monitored in real time, audio output synchronization between the master device and the slave device is maintained through a playing speed fine tuning strategy, optimization is carried out aiming at a lossy coding scene, and the limitation of a traditional single-point synchronization method is effectively solved.

The invention discloses a cosmic ray muon-based time synchronization system and synchronization method, and relates to the field of digital information transmission. The system comprises a time detector and a track detector which are arranged corresponding to a standard clock, and a case matching module, a time difference calculation module, a time adjusting module, a time detector and a track detector which are arranged corresponding to a clock to be calibrated, the case matching module is used for matching the cosmic ray muons according to the track information of the cosmic ray muons detected by the two track detectors and determining whether the cosmic ray muons penetrating through the two time synchronization devices belong to the same muon case or not, and if the cosmic ray muons penetrating through the two time synchronization devices belong to the same muon case, the time difference calculation module is used for obtaining theoretical flight time according to the track information detected by the track detectors; actual flight time is obtained according to a time detector; the time deviation is calculated according to the actual flight time and the theoretical flight time, the time adjusting module calibrates the clock to be calibrated according to the time deviation, and the precision and reliability of time synchronization in complex environments such as underwater and underground environments are improved.

The invention provides a digital clock remote metering method based on network delay suppression, which comprises the following steps of: constructing a layered synchronous architecture, deploying a main clock source, a plurality of regional clock servers and a plurality of terminal devices, connecting the plurality of regional clock servers with the main clock source through optical fiber special lines to obtain reference time, each regional clock server is connected with a plurality of terminal devices through a 5G / industrial Ethernet to form a three-level synchronous network; rTT data of the terminal device and a regional server are obtained through bidirectional timestamp interaction, and message screening is carried out according to a preset rule; calculating a final time delay compensation value by adopting a mixed time delay compensation algorithm, and calibrating a terminal clock by adopting the final time delay compensation value; and adopting a time selection algorithm to obtain an optimal reference source for data synchronous analysis. According to the invention, the time deviation problem between the current time indicating value of the digital clock and the standard time and the data synchronization analysis problem can be solved.

The invention discloses a multi-master-station synchronization method and device and a storage medium. The multi-master-station synchronization method comprises the following steps: setting priority for each master station process; the preset master station generates a time synchronization message and sends the time synchronization message to a network, when the receiving master station receives the time synchronization message, hardware interruption is triggered, the receiving master station executes a time synchronization task, and the receiving master station calculates time deviation according to the time synchronization message and adjusts a local clock; the preset master station updates the data of the shared data area and sends a data updating notification to the receiving master station; and receiving local data updated by the master station based on the data updating notification. According to the method, on the basis of hardware interruption and a preemption mechanism of an operating system, a time synchronization task is endowed with stable execution capability in a complex system environment, and the time synchronization task can always preferentially acquire system resources in the case of complex conditions such as high load and network fluctuation, so that the accuracy and continuity of time synchronization are ensured.

The invention relates to a broadband power line carrier node ranging method, which is characterized in that transmission time is obtained based on each count value of a source node and the frequency of the source node, so that time deviation caused by reference time difference between the nodes is avoided; meanwhile, the destination node corrects the response delay count value through the frequency deviation coefficient, so that the fine difference of the frequency between the source node and the destination node is considered, and the duration corresponding to the response delay count value in the source node is equal to the duration corresponding to the corrected response delay count value in the destination node; therefore, the response signal can be sent at the accurate sending moment, and correspondingly, the source node can receive the signal at the accurate moment, so that the time error in the signal transmission process between the nodes is reduced, and the ranging accuracy is improved. The distance measurement method provided by the embodiment of the invention is simple and convenient, and can accurately obtain the distance between the nodes.