238 results about "Time deviation" patented technology

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 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 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 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 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.

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 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.

The invention relates to a sensor data fusion system based on attention mechanism dynamic weight distribution, the system comprises a multi-sensor space-time synchronization module, the multi-sensor space-time synchronization module comprises a time synchronization unit and a space synchronization unit, the time synchronization unit is used for a GPS / IMU to obtain a unified time reference, interpolation calibration is carried out on sampling timestamps of all sensors, and the space synchronization unit is used for carrying out space synchronization; and the space synchronization unit is used for converting the laser radar point cloud and the 4D radar data to a camera coordinate system based on sensor external parameter calibration so as to achieve unification of the space dimension. According to the method, the target detection accuracy is improved by 15%-30%, the space-time deviation of multi-sensor data is reduced, and a high-precision data basis is provided for fusion.

The invention discloses a dynamic correction timing method, device and system and a storage medium, and belongs to the technical field of kitchen appliances. The dynamic correction timing method is applied to the range hood. The range hood comprises a micro-control unit. The dynamic correction timing method comprises the following steps: networking to obtain standard network time; after the standard network time is successfully obtained, determining a time deviation value according to the standard network time and the current timing time of the micro-control unit; calculating a current time compensation coefficient according to the time deviation value and the networking calibration time interval; and before the standard network time is obtained through next networking, the timing time of the micro-control unit is corrected by using the current time compensation coefficient. Therefore, long-term accurate timing of the range hood can be achieved, and the problem that the long-time accumulated timing deviation of the range hood is large is effectively solved.

The invention provides a clock synchronization method, a multi-axis drive control system and a computer storage medium, and the method comprises the steps: obtaining a clock synchronization signal which is sent by a master station timer and has a matched period at a slave station end, selecting any timestamp in the clock synchronization signal as a reference point, and carrying out the clock synchronization based on the reference point, determining the corresponding position of the reference point in the counting signal of the local timer, mapping the time information of the master station to a local time axis of the slave station, and calculating the phase difference between the corresponding position of the reference point in the counting signal of the local timer and the starting position of the next period of the counting signal of the local timer, and quantizing the real-time deviation of the master and slave clocks, and finally, dynamically adjusting and updating the period of a counting signal of a local timer to eliminate the phase difference, so that the slave station clock period is kept synchronous with the master station, and the time consistency of the action of each slave station in the multi-axis driving system is ensured.

The invention discloses a traceability NTP time service method and device and a storage medium. The method comprises the following steps: generating an NTP response message conforming to an NTPv4 or NTS standard structure, wherein the NTP response message comprises a standard NTP header field; adding a traceability information extension field in the NTP response message, wherein the traceability information extension field at least comprises clock source level information, time deviation estimation information with a clock source and link node information for representing a time path structure; forwarding the NTP response message, and adding corresponding node type and node quantity information in the traceability information extension field during each forwarding; and after the NTP response message is received, analyzing the traceability information extension field, and determining the credibility and the expected precision of the received time based on the clock source level information, the time deviation estimation information with the clock source and the link node information.

The invention discloses a multichannel clock buffer test system and method, and relates to the technical field of semiconductor testing, and the method comprises the steps: calibrating the delay of an optical clock signal of each time-to-digital converter node to a preset precision threshold value; a standard clock signal is injected into the clock buffer input channel, and the clock buffer is driven to enter a working state; triggering a time-to-digital converter array by using the calibrated optical clock signal, collecting timestamp data of each output channel of a clock buffer, and generating an original time data set; inputting the original time data set into a double-mixing processor, and outputting a multi-channel skew parameter and a three-dimensional cloud picture; the multi-channel skew parameter is converted to a life indicator value for each output channel of the clock buffer based on the multi-channel skew parameter invoking a material model. According to the invention, the original time data set is subjected to two times of frequency mixing processing through the double frequency mixing processors, and phase detection and spectrum analysis are combined, so that high-precision extraction of the time deviation value of each output channel of the clock buffer is realized.

The invention provides an equipment time synchronization method and device, and relates to the field of wireless communication. The device time synchronization method of the present application is applied to a terminal device, the method comprising: receiving a downlink radio frame sent by an access device, the downlink radio frame comprising a first time when an antenna unit of the access device actually sends the downlink radio frame, a sending power of the downlink radio frame, and a duration of a lead code in the downlink radio frame; determining a second time when an antenna unit in the terminal device actually receives a downlink wireless frame according to the duration of the lead code; according to the sending power, the first time and the received signal strength of the terminal equipment, determining the corrected reference time of the terminal equipment; and correcting the time of the terminal equipment according to the time deviation between the second time and the corrected reference time, thereby realizing time synchronization between the terminal equipment and the access equipment. According to the invention, the problem existing when the trigger frame is used in the traditional synchronization scheme can be avoided, and continuous and stable high-precision time synchronization between the access equipment and the terminal equipment is realized.

The invention relates to a prospective control method of a multi-axis linkage machine tool in the field of intelligent manufacturing, which comprises the following steps: by analyzing the time difference distribution of each axis in a compensation time sequence, establishing a dynamic compensation matrix of multi-axis linkage, the matrix comprising the advanced starting time and speed regulation coefficient of each axis in different motion stages, determining personalized motion control parameters of each axis; according to the updated delay characteristic data and the curvature radius information of the track corner, the position deviation trend of each axis in the corner machining process is predicted, whether the motion time sequence of each axis needs to be adjusted or not is judged by comparing the deviation degree of the predicted position and the theoretical track, and an optimized multi-axis cooperative motion instruction is obtained; and the optimized multi-axis cooperative motion instruction is input into a servo controller of each axis, an actual position feedback signal of each axis is monitored at the same time, and the response consistency of each axis is ensured by calculating the real-time deviation value of an actual track and a theoretical track and dynamically correcting compensation parameters in an electromechanical coupling delay model.

The embodiment of the invention discloses a multi-source time signal-based power secondary equipment time synchronization deviation monitoring method and device, and relates to the technical field of time synchronization error monitoring, and the method comprises the steps: calculating reference time corresponding to a time monitoring device according to time signals provided by a plurality of signal sources; processing a time synchronization signal input by the power secondary equipment to obtain a target level signal; sampling rising edge jump of the target level signal to determine each rising edge moment; according to each rising edge moment and the reference time, determining a time synchronization deviation corresponding to each rising edge moment; according to the time synchronization deviations corresponding to the multiple rising edge moments in the specified time period, linear fitting is conducted, a deviation trend equation is obtained, and the deviation trend equation is an equation with time as an independent variable and the time deviation value as a dependent variable. Therefore, the deviation monitoring precision can be improved, the monitoring requirements of various devices are met, and time jump or monitoring leakage under abnormal working conditions is avoided.

The invention discloses a human body tumble radar perception correction method and system combined with multi-modal data, and relates to the technical field of medical health monitoring. The method comprises the following steps: acquiring radar echo data and infrared thermal imaging data of a target monitoring area; preprocessing a unified timestamp and a space coordinate system through space-time alignment to obtain a standardized multi-modal data set; constructing a tumble perception deviation model based on the historical tumble sample and the real label; and finally, inputting the standardized data into the model to obtain a radar sensing deviation value, correcting an original radar result, and obtaining a precise fall sensing result. The system comprises a data acquisition module, a data preprocessing module, a model construction module and a perception correction module. According to the invention, the problem of time deviation or attitude misjudgment of a tumble sensing result caused by the fact that single radar data is easily influenced by factors such as multi-target interference and shielding in a complex environment in the prior art is solved.

The invention discloses an ultra-high voltage nuclear phase correction method, device and equipment based on multi-source data fusion and a medium, and relates to the technical field of power grids, and the method comprises the steps: firstly obtaining the t-th round of multi-source data and a real phase value of ultra-high voltage equipment; and inputting the multi-source data into the pre-trained neural network model to generate a correction coefficient, correcting a phase value by combining the correction coefficient and the original phase value, and calculating a phase error with a real phase value. If the phase error exceeds the error threshold value and the adjustment frequency does not exceed the adjustment frequency threshold value, adjusting the gain of the acquisition equipment amplifier according to the electric field intensity, and re-acquiring the (t + 1) th round of multi-source data; and outputting a corrected phase value if the phase error reaches the standard. In addition, the correction phase value needs to be rechecked by two persons, and when the deviation exceeds a second threshold value, intelligent contract alarm and frozen combination ring operation are triggered; time deviation and a second phase error can be obtained through the current temperature, and secondary correction is carried out on the original phase value. According to the method, the nuclear phase precision and safety of the ultrahigh-voltage equipment can be improved.

The invention discloses a clinical test CRC management method and system based on artificial intelligence, and belongs to the technical field of clinical test management, and the method specifically comprises the steps: obtaining a structured parameter and an unstructured feedback, carrying out the time alignment matching, and calculating a time deviation value between the structured parameter and the unstructured feedback; extracting description vocabularies from the unstructured feedback, performing matching detection on the description vocabularies and structured parameters in corresponding time windows, and identifying logic consistency; when it is detected that the structural parameter missing rate exceeds a preset threshold value, a supplementary question request is sent to the subject terminal; when detecting that an event related to any structured parameter is missed in the unstructured feedback, adjusting a sampling frequency and detection item combination of the detection equipment; according to the time deviation value and the logic consistency analysis result, the structured parameters and the unstructured feedback are corrected, and a final clinical test report containing a correction mark is generated; the accuracy of clinical test result judgment is improved.