304 results about "Time deviation" patented technology

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 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 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 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 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.

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 embodiment of the invention provides a digital video monitoring data transmission synchronization method and system, and relates to the technical field of digital video monitoring data transmission synchronization, and the method comprises the steps: receiving a video data stream and an external sensor data stream which is related to the content of the video data stream and has an independent stable time synchronization mechanism; identifying a visual event from the video data stream, and identifying a physical event associated with the visual event from the external sensor data stream; taking the timestamp of the physical event as a time anchor point, obtaining a visual original timestamp of the visual event, and calculating the time deviation of the video data stream according to the time anchor point and the visual original timestamp; based on the time deviation, correcting the frame timestamp of the video data stream by adopting an adaptive weighted average or filtering strategy to obtain a corrected timestamp; and fusing the corrected timestamps to obtain a global time reference. The reliability of the monitoring data and the accuracy of the analysis result can be improved.

The invention relates to a clock synchronization method and device, equipment and a medium. The method comprises the following steps: receiving a second pulse signal of a satellite clock sent by a satellite; obtaining a counting time slot of a counter in the sensor equipment in each second pulse signal period; determining the time deviation between the sensor equipment and the satellite clock according to the counting time slot corresponding to each second pulse signal period; according to the time deviation, a sampling clock of the sensor equipment is corrected, and the sampling edge of the corrected sampling clock is aligned with the edge of the second pulse signal. By adopting the method, the multi-device clock synchronization process can be simplified.

The invention discloses a drilling track real-time monitoring and intelligent deviation correction control method, device and equipment, and aims to construct a multi-sensor fusion drill attitude measurement technology to realize high-precision track deviation detection and error compensation; performing potential energy accumulation on the negative deviation component to generate a deviation energy pool by adopting a positive and negative deviation decomposition technology of a track deviation vector; establishing a chaos control band framework, analyzing and identifying a stable boundary and an unstable boundary through energy fluctuation characteristics, and extracting an optimal response interval to guide deviation correction control; determining an active deviation rectification vector, and controlling a hydraulic cylinder to generate deflection torque through a composite deviation rectification instruction; an oscillation feature extraction technology is introduced, a stability index is generated based on system oscillation parameters and position mapping of a chaos control band, a chaos edge control field is constructed, and precise regulation and control of complex nonlinear drilling dynamics are achieved; the energy conversion efficiency is obtained and the chaos edge control field is combined to generate a real-time deviation correction control quantity, so that a closed-loop intelligent deviation correction control loop is formed.

The invention provides a multi-station cooperative control method based on event triggering and look-ahead synchronization. The multi-station cooperative control method comprises the following steps: S1, defining nominal motion parameters for each station; s2, when the physical completion event of the current station is detected, calculating to obtain an accumulated time deviation up to the current station; s3, on the basis of the cumulative time deviation, executing online optimization calculation in a prediction time domain containing a plurality of stations in the future so as to determine an optimal target operation duration used for compensating the cumulative time deviation; and S4, according to the optimal target operation duration, generating and issuing a new motion curve for a first station in the prediction time domain, taking the station as a new current station, and circularly executing the steps S2 to S4. According to the method, the system can actively eliminate tiny time deviation caused by uncertainty factors such as material difference and mechanical wear, and the accumulative effect of errors is avoided.

The invention belongs to the technical field of time synchronization, and provides a multi-sensor time synchronization method and system and application, and the method comprises the steps: carrying out the calibration of a local clock of each sensor based on a reference clock signal provided by a dual-mode reference clock, so as to correct the time deviation; measuring the original transmission delay of data transmission of each sensor in real time, and generating a dynamic compensation coefficient based on a delay fluctuation model; based on the calibrated local clock and the dynamic compensation coefficient, performing correction and alignment verification on the timestamps of the sensor data, and calculating an alignment error; and if the alignment error exceeds a preset threshold value, reversely adjusting the dynamic compensation coefficient and / or the reference clock signal to form closed-loop control. According to the method, the problems of low synchronization precision, poor flexibility and insufficient real-time performance of the existing multi-sensor time synchronization method under complex working conditions can be solved, and the space-time matching reliability of a multi-sensor fusion system is improved.

Embodiments provide a transceiver of a wireless communication network wherein the transceiver is configured to transmit and / or receive data [e.g., telegrams] using a hopping pattern defining a sequence of moments relative to a periodic time grid, the transceiver is configured to determine [e.g., generate or calculate] a hopping pattern by determining a time offset between a moment of at least one moment block of the sequence of moments and a corresponding grid position of the periodic time grid using a first determination function and a second determination function, a first determination function specifies a pseudo-random distribution of time distances between immediately following / consecutive moments of the time block between a predefined minimum time distance and a predefined maximum time distance, a second determination function specifies that a time offset between the time of the time block and the corresponding grid location is within a corresponding time offset range around the corresponding grid location, the time offset range being defined by a time offset limiting function, each time offset range defines a maximum allowable offset of a respective moment of time of the hopping pattern towards a respective grid position of the periodic grid, in which, if a determination is made that the moment of time specified by the first determination function is not within a respective time offset range of the time distance limiting function specified by the second determination function, the maximum allowable offset of the respective moment of time of the hopping pattern towards the respective grid position of the periodic grid. The moments in time are mapped into respective time offset ranges of a time offset limit function [e.g., shifted to the closest edge or reflected to].

The invention discloses a subcarrier-level diversity combining method and subcarrier-level diversity combining equipment for multi-frequency diversity, and relates to the technical field of wireless communication. The method comprises the following steps: receiving a plurality of frequency points bearing the same service, and respectively carrying out orthogonal frequency division multiplexing demodulation on each frequency point to obtain a symbol estimation value; calculating a soft decision log-likelihood ratio and a reliability vector according to the symbol estimation value; aligning the time deviation, the carrier frequency deviation and the sampling rate deviation generated by frequency crossing of each frequency point based on each symbol estimation value; performing decorrelation processing on the aligned soft decision log-likelihood ratio to obtain a decorrelated soft decision log-likelihood ratio, and performing merging operation on the decorrelated soft decision log-likelihood ratio according to the aligned reliability vector to obtain a merged soft decision log-likelihood ratio; and decoding the merged soft decision log-likelihood ratio to obtain a decoding result, and adjusting the merging operation according to the decoding result. By implementing the technical scheme provided by the invention, the diversity combining accuracy can be improved.

The invention discloses a power grid time frequency change trend prediction method and system based on intelligent electric meter data fusion, and the method comprises the steps: measuring the network transmission delay and time deviation between a master clock and a slave clock of a power grid, obtaining an initial time frequency deviation sequence, carrying out the error calibration, carrying out the data fusion after time domain alignment, and carrying out the prediction of the time frequency change trend. Generating a fusion time sequence; performing recursive estimation on the fusion time sequence, outputting an optimal time frequency deviation sequence, and performing synchronous estimation to obtain a clock phase error, a frequency error and frequency drift as state characteristic quantities; and training a preset machine learning prediction model by taking the optimal time frequency deviation sequence as a supervision signal and taking the state characteristic quantity of the corresponding moment as input, and obtaining a prediction result of the power grid time frequency change trend in the future period based on the trained time frequency change trend prediction model. According to the method, the power grid time synchronization precision and prediction capability are remarkably improved, and reliable technical guarantee is provided for stable operation of a power system.

The invention discloses a virtual power plant participation AGC frequency modulation method and system, and the method comprises the steps: receiving a power grid AGC frequency modulation instruction, and screening adjustable resources meeting conditions according to the actual control constraint, adjustment characteristic requirements and configuration conditions of the adjustable resources to form a standby resource pool; verifying the running state of the system and the adjusting capacity range of the standby resource pool; constructing a virtual power plant participation AGC frequency modulation net profit model; constructing constraint conditions including an adjustment range constraint, an energy storage charge state constraint and an AGC control constraint; a virtual power plant participation AGC frequency modulation strategy optimization model is constructed, an interior point method is adopted for solving, and an optimal adjustment strategy is obtained; executing the optimization strategy, monitoring the adjustment deviation in real time, and starting real-time deviation correction operation based on the adjustment deviation; according to the method, the calculation efficiency and the solving precision are remarkably improved, the quick response to the frequency modulation requirement of the power grid is ensured through a real-time correction mechanism, and high-precision power regulation control is realized.

The invention discloses a power equipment anomaly detection method and system and a medium. The method comprises the following steps: acquiring event data and a frame image; frequency domain conversion is carried out on the event data, a complex frequency spectrum of the event is obtained, and the complex frequency spectrum comprises the amplitude and phase information of the event signal on each frequency component; frame images are obtained, analysis signal conversion is carried out on the frame images, a plurality of frame images are obtained, and each pixel of the images in the plurality of frame images has amplitude and phase representation; fusing the plurality of frequency spectrums and the plurality of frame images based on adaptive attention to obtain initial multi-domain fusion features; performing time deviation correction on the initial multi-domain fusion features to obtain synchronous multi-domain fusion features; and carrying out multi-scale processing on the synchronous multi-domain fusion features to obtain a fusion image which is used for a fault identification model to carry out power equipment anomaly detection. Complete frequency spectrum information such as amplitude and phase of the event signal can be reserved in the fusion process, and the accuracy of anomaly detection can be improved.

The invention relates to the technical field of data processing, and discloses a salt cavern gas storage brine discharging pipeline operation data processing method and system, and the method comprises the steps: periodically receiving a link detection data packet which is transmitted by a collection device and is provided with a transmission timestamp, and recording the arrival time of the link detection data packet; according to the sending timestamp and the arrival time, transmission characteristics of the link detection data packet are analyzed, and the transmission characteristics comprise transmission delay, jitter dispersion and out-of-order conditions; adaptively predicting a time offset pattern based on the transmission characteristics; generating a real-time calibration parameter according to the time migration mode; and receiving an actual data packet, and adjusting the timestamp of the actual data packet by using the real-time calibration parameter. According to the method, the limitation of traditional fixed compensation parameters is overcome, the time alignment precision of pressure and flow data flow is remarkably improved, leakage misinformation caused by time deviation is avoided, and the reliability and the operation and maintenance efficiency of a salt cavern gas storage brine discharging pipeline operation monitoring system are improved.