435 results about "Frequency drift" patented technology

The invention provides a high-precision five-axis rotary table cooperative control method and system based on multi-closed-loop feedback, and the method comprises the steps: obtaining a real-time acceleration signal of a five-axis rotary table, carrying out the spectrum analysis of the acceleration signal, determining a current resonant frequency drift range and a main frequency component, and carrying out the frequency spectrum analysis; dynamically simulating the turntable structure by adopting a pre-established finite element model, and predicting the vibration mode change trend of the structure by comparing the deviation between the modal frequency obtained by simulation and the actually measured signal spectrum; according to the vibration mode change trend, matching similar vibration mode modes from a pre-established rotary table vibration mode database, obtaining corresponding vibration energy transmission path distribution, and determining an energy transmission abnormal region by analyzing the distribution of energy on each transmission path to obtain vibration energy transmission characteristics; according to an optimized motion instruction of a five-axis turntable, the dynamic response of the turntable is estimated, vibration frequency domain characteristics are extracted, and frequency domain compensation parameters are generated in combination with a preset frequency domain error matrix.

The invention relates to the technical field of semiconductors, and discloses a full-temperature-zone polynomial digital temperature compensation method and system based on an SOI chip, and the method comprises the steps: obtaining the temperature frequency data of a preset temperature zone of a target SOI chip, fitting a full-temperature-zone curve, extracting a critical point of the temperature zone, dividing a segmented compensation interval according to the critical point, and obtaining the temperature frequency data of the preset temperature zone of the target SOI chip; the method comprises the following steps: calculating frequency drift amounts under different voltages to construct a full-automatic test framework, acquiring an environment temperature parameter and an instantaneous temperature value by using the framework, analyzing a temperature compensation vector of a segmented compensation interval, further monitoring a signal frequency interval output by a chip, extracting a phase noise parameter, calculating a frequency offset error amount with a preset value, and calculating the frequency offset error amount. And analyzing an error source, optimizing a polynomial compensation order, and collecting temperature drift suppression data to generate a full temperature region compensation report. According to the invention, the performance stability of the chip in a complex environment can be improved.

The invention relates to a low-orbit communication satellite Doppler positioning method and device based on factor graph optimization. The method comprises the following steps: after required observation data is received and an initial state value of a ground receiver is solved, a factor graph framework is introduced to set a priori factor, a Doppler frequency shift factor, a state constraint factor and a state variable consisting of a three-dimensional position and frequency drift of the receiver according to a Doppler positioning observation model; and constructing a Doppler positioning factor graph model by taking the factors and variables as nodes, introducing a sliding window mechanism to update a factor graph in a factor graph optimization solution process, and solving state variables by adopting a Gaussian-Newton algorithm to finally obtain a Doppler positioning result. According to the method, factor graph modeling is carried out on the Doppler positioning observation model, the advantages of nonlinear modeling, global optimization and capability of fully utilizing historical observation of a factor graph optimization method are exerted, and a relatively small positioning error and a higher convergence speed can be obtained.

The invention belongs to the technical field of diving state monitoring, and relates to a diver state monitoring method based on biofeedback, and the method comprises the steps: aligning a sign signal with environment data through a timestamp, extracting motion features through acceleration data, constructing a motion noise model, and removing signal artifacts in real time; in the aspect of EEG signal purification, a db4 wavelet basis is adopted for carrying out wavelet packet decomposition, water pressure related frequency band characteristics are extracted, low-frequency drift is removed, meanwhile, heart rate signals are analyzed through nonlinear dynamics, a Lyapunov index is extracted to evaluate HRV changes, breathing and EEG # imgabs0 # wave coupling are analyzed through wavelet transformation, and the risk evaluation precision is further enhanced; in the aspect of environment compensation, through compensation of a depth and SpO2 relational expression and water temperature on respiratory frequency, in combination with SLTM network extraction time sequence features and a deep causal convolutional layer, risk trend prediction is performed, a diver risk level and a prediction curve are output in real time, a comprehensive risk index is finally calculated, the health state and potential risk of the diver are comprehensively evaluated, and safety is improved.

The invention discloses a frequency switching method and device of an embedded power terminal. The method comprises the steps that frequency switching is triggered by predicting frequency deviation and comparing the predicted frequency deviation with a preset frequency synchronization threshold value, and the transmitting power and the modulation mode in the switching process are optimized through a fuzzy control algorithm so as to suppress transient interference. During switching execution, the node synchronization state is monitored in real time, and an interruption mechanism is triggered when abnormity occurs. And after the switching is completed, calibrating the frequency parameter of each node, and updating the frequency drift compensation model. And dynamically optimizing the compensation model and the switching strategy by utilizing historical data and adopting a reinforcement learning algorithm, and synchronously updating the compensation model and the switching strategy to each node. By means of predictive triggering, intelligent parameter optimization, real-time monitoring and the like, the problems of transient interference, exception handling, model optimization and the like in the power terminal node frequency synchronization process are effectively solved. According to the method, the reliability and stability of power terminal node frequency synchronization are remarkably improved, and a powerful guarantee is provided for safe and stable operation of a power system.

The invention relates to a magnetic resonance system frequency calibration method and device, equipment, a storage medium and a product. The method comprises the following steps: carrying out first scanning on a to-be-scanned object by utilizing a selective water excitation sequence to obtain a first echo signal; performing second scanning on the to-be-scanned object by using the selective water excitation sequence to obtain a second echo signal; according to the first echo signal and the second echo signal, the frequency drift amount of the magnetic resonance system in the current time period is calculated; and calibrating the frequency of the radio frequency coil of the magnetic resonance system according to the frequency drift amount of the magnetic resonance system in the current time period. According to the method and the device, the system frequency is calibrated by the selective water excitation sequence, and the selective water excitation sequence only excites the water signal and does not excite other types of signals including metabolite signals; therefore, the stability of the metabolite signal is not influenced, the accuracy of the target metabolite signal is not influenced, and the quality of the spectrum image is not influenced.

The invention discloses a harmonic control method and system of a frequency converter. The method comprises the following steps: acquiring an output voltage signal and a bus voltage signal of the frequency converter in a current time period; performing spectral analysis on the output voltage signal, and constructing a first frequency distribution characteristic curve; correcting the first frequency distribution characteristic curve according to the bus voltage signal to obtain a second frequency distribution characteristic curve; if the output frequency signal of the frequency converter generates frequency drift, tracking the frequency drift of the output frequency signal to obtain a frequency drift rule; performing voltage waveform distortion analysis on the output voltage signal to obtain a total harmonic distortion rate; performing parameter optimization on the filter according to the total harmonic distortion rate and the frequency drift rule, so that the third frequency distribution characteristic of the filter is matched with the second frequency distribution characteristic; in the next time period, the optimized filter is adopted to carry out frequency converter harmonic suppression; the harmonic suppression effect of the frequency converter can be effectively improved, and the power supply quality of a power grid is improved.

The invention relates to the technical field of dual-mode Bluetooth chips, and discloses a radio-frequency signal gain control method and device for a low-power-consumption dual-mode Bluetooth chip, and the method comprises the steps: carrying out the RSSI detection and VSWR measurement of a radio-frequency signal of the low-power-consumption dual-mode Bluetooth chip, and obtaining a radio-frequency signal AC component and a radio-frequency signal DC component; performing bandwidth expansion on the alternating current component of the radio frequency signal, and performing power calibration on the direct current component of the radio frequency signal to obtain reconstructed radio frequency signal data; signal tracking ST time-frequency mapping is executed, the amplitude change rate, the phase deviation and the frequency drift of the radio frequency signal are extracted through a dynamic sampling mechanism, and nonlinear characteristic data are generated; and establishing a radio frequency parameter control network, executing AGC and ALC collaborative optimization calculation, generating a gain control sequence, and outputting radio frequency signal gain control parameters. According to the method, signal distortion and interference in the mode switching process are effectively reduced, and the reliability and stability of gain control are ensured.

The invention discloses an instantaneous torque measuring system and method based on the front end of an engine, and relates to the technical field of engine testing and signal processing, and the system comprises a signal acquisition module, a noise analysis module, a signal processing module and a signal processing module, the noise frequency distribution and noise amplitude range extraction module is used for extracting noise frequency distribution and a noise amplitude range from the smoothed torque data and determining filtered torque data containing low-frequency drift noise and periodic interference signals, and the parameter extraction module is used for analyzing the noise frequency distribution and the periodic interference signals by adopting fast Fourier transform according to the filtered torque data so as to obtain the low-frequency drift noise and the periodic interference signals. Acquiring noise duration time and a noise source identifier, and determining an amplitude compensation coefficient and a frequency suppression parameter; according to the instantaneous torque measuring system and method based on the engine front end, accurate acquisition and noise suppression of engine torque signals are achieved, the accuracy and reliability of torque data are improved, and effective support is provided for engine performance monitoring and fault diagnosis.

The invention discloses a frequency discrimination curve calibration system, method and device. A frequency locking technology is adopted, the output laser frequency of the seed laser is stably locked on an absorption peak of the atom / molecule absorption cell, and the problem of frequency drift of the seed laser is effectively solved. Meanwhile, two acousto-optic modulators are used for implementing accurate out-of-cavity passive frequency modulation on the seed laser, and the laser frequency is moved to a preset zero-speed frequency point of an optical frequency discriminator and a linear working area edge frequency point from an atom / molecule absorption peak position. In the calibration process, the telescope vertically points to the zenith, and atmospheric echoes with zero Doppler frequency shift are provided as reference. At the moment, the optical frequency discriminator measures and records the transmittance of a preset zero-speed frequency point in the center of the linear working area and the transmittance of an edge frequency point, and a new frequency discrimination curve can be derived based on the linear hypothesis of the frequency discrimination curve.

The invention discloses a dual-parameter amplitude-phase fusion demodulation method based on an optical fiber ring interference sensor, and the method comprises the steps: obtaining the frequency response of a system through a vector network analyzer, and obtaining a dual-parameter amplitude-phase fusion demodulation signal through employing the frequency drift and fringe contrast of an interference amplitude spectrum of the frequency response, and the phase spectrum change under different modulation frequencies; therefore, double-parameter crosstalk-free amplitude-phase fusion demodulation of temperature and loss is realized based on combination of two kinds of information of the amplitude spectrum and the phase spectrum. The amplitude-phase fusion demodulation method has the characteristics of fast response of amplitude spectrum demodulation and high sensitivity and light source power fluctuation resistance of phase demodulation, the demodulation mode can be flexibly adjusted for different use scenes, and the amplitude demodulation result can be compensated and corrected based on the phase demodulation result; frequency response information is utilized, so that crosstalk-free measurement of the temperature and the loss by the radio frequency assisted FRIS can be realized independently based on the amplitude spectrum or the phase spectrum, and the amplitude spectrum and the phase spectrum can be fused to improve the demodulation performance.

The invention discloses an application method of a resonant pressure sensor, which relates to the technical field of sensor equipment, and comprises the following steps: sensor site selection and environment modeling, a resonant cavity is adjusted, a pressure buffer device is installed after adjustment, an embedded temperature compensation module is configured in the sensor, multi-frequency resonance modes are switched, a resonant frequency amplification loop is designed, abnormal pressure fluctuation is diagnosed in real time, and a sensor array is deployed in a distributed mode. According to the application method of the resonant pressure sensor, the adaptability and the reliability of the resonant pressure sensor in a complex environment are remarkably improved by embedding a temperature compensation module and a real-time diagnosis mechanism. On one hand, the temperature compensation module effectively eliminates the influence of frequency drift by using a dynamic adjustment algorithm, and guarantees the measurement precision of the sensor in a wide temperature range; on the other hand, sound wave resonance spectrum analysis is introduced, and real-time early warning of abnormal states such as blockage and leakage is achieved.

The invention relates to an electrostatic vibrating diaphragm automobile audio which is mainly used for an electric vehicle and can compensate vehicle-mounted electromagnetic interference audio and solve the problem of electromagnetic interference of a motor PWM switch and rotating speed harmonics on an audio system. The electrostatic diaphragm automobile sound system comprises an electrostatic diaphragm loudspeaker and an interference feature extraction module, the rotating speed of a motor and the PWM frequency are obtained through a CAN bus, and a dynamic interference feature set is analyzed and extracted through adaptive window length FFT; the EMI quantification module is used for calculating an electromagnetic pollution index at a frequency band of 8kHz-20kHz, and triggering compensation when the electromagnetic pollution index exceeds a threshold value of-40dB; the dynamic notch compensation module is used for generating an inversion signal; according to the double-loop feedback control module, the amplitude is adjusted through PID of an inner loop, and the phase is optimized through gradient descent of an outer loop so as to minimize THD. The method comprises five steps of signal acquisition, feature extraction, interference quantification, dynamic compensation and signal injection. Interference frequency drift can be accurately tracked, a tone quality MOS value is improved after compensation, and an over-compensation risk is avoided.

The invention discloses a distributed OFDR sensing signal demodulation method and system based on local ridge line tracking, relates to the technical field of optical fiber sensing, and is used for solving the problem that a traditional cross-correlation algorithm is difficult to consider robustness and real-time performance at the same time. The method comprises the following steps: respectively processing a reference beat frequency signal of a sensing optical fiber to be measured in a strain-free state and a measurement beat frequency signal of the sensing optical fiber to be measured in a strain state to obtain a reference complex Rayleigh scattering signal and a measurement complex Rayleigh scattering signal containing a plurality of sensing positions along the optical fiber; calculating a cross-correlation function based on the two signals; stacking the cross-correlation functions corresponding to all sensing positions along a distance domain, and constructing a two-dimensional cross-correlation thermodynamic diagram matrix; performing filtering processing and weighting processing on the two-dimensional cross-correlation thermodynamic diagram matrix to obtain an optimal frequency drift distance; and demodulating based on the optimal frequency drift amount to obtain strain distributed along the to-be-measured sensing optical fiber. According to the invention, high-robustness and rapid demodulation of the signal in an application scene with extremely high real-time requirement can be realized.

The invention discloses an unmanned aerial vehicle data link communication system for beyond-visual-range cluster measurement and control, and relates to the field of communication transmission. The system comprises a dynamic topology construction module which constructs a dynamic network topology according to unmanned aerial vehicle node parameters and selects an optimal communication path; the spectrum resource management module is used for optimizing spectrum allocation of multiple frequency bands and dynamically allocating spectrum resources; the relay node selection module is used for selecting an optimal relay node and optimizing the energy consumption and the signal quality of the relay node; the clock synchronization module is used for performing high-precision clock synchronization through clock skew modeling and correcting frequency drift; the channel distribution module is used for dynamically distributing communication channels; and the fault detection module monitors the fault state of the communication link of the unmanned aerial vehicle in real time through a fault monitoring model, and performs anomaly detection. Through dynamic topology construction, intelligent relay node selection and multi-dimensional utility function optimization, the flexibility, stability and resource allocation efficiency of a communication network are effectively improved, and efficient and reliable communication of an unmanned aerial vehicle cluster is ensured.

The present application relates to a method, device, storage medium and terminal for optimizing the drift rate of a rubidium atomic clock. The method comprises: collecting frequency difference data of the rubidium atomic clock relative to a reference signal; establishing a time-frequency difference model of the rubidium atomic clock according to the frequency difference data and the least squares method; and adjusting the output frequency of the rubidium atomic clock according to the time-frequency difference model and the voltage-frequency fitting relationship. The present application focuses on the frequency drift compensation technology for the aging of key components inside the rubidium atomic clock. By analyzing the drift rate characteristics of the rubidium atomic clock, it is proposed to adjust the accuracy of the output frequency of the rubidium atomic clock by adjusting the voltage-controlled voltage of the constant temperature crystal oscillator inside the rubidium atomic clock, thereby improving the drift rate of the rubidium atomic clock.

The embodiment of the invention discloses a clock equipment failure early warning method and device based on clock control quantity. The method comprises the following steps: acquiring the frequency control quantity of each synchronous clock device in the frequency synchronization network, and calculating the frequency control accumulation quantity based on each frequency control quantity; calculating a frequency drift amount corresponding to the frequency control accumulation amount based on a Kalman filtering algorithm, and calculating a frequency sky drift amount and a frequency cycle drift amount based on the frequency drift amount; inputting the frequency control accumulation amount, the frequency sky drift amount and the frequency cycle drift amount into the trained support vector machine model as input quantities to obtain an alarm output result; and carrying out clock equipment failure early warning on a preset management terminal based on the alarm output result. According to the embodiment of the invention, a manager can clearly and intuitively know the potential failure risk condition of the system at the moment, the condition is processed in time, and the actual occurrence of the risk is avoided.

The invention relates to the technical field of fault detection, in particular to a building water pipe fault diagnosis method and system based on data analysis, and the method comprises the following steps: segmenting a signal according to a time sequence based on a water pipe vibration signal collected in a building environment, and calculating the amplitude change rate and the power spectral density peak value of each segment; and extracting a paragraph whose power spectral density peak value exceeds a threshold value. According to the method, the frequency range is analyzed point by point, the power spectrum proportion and the amplitude change standard deviation are calculated, accurate capture of frequency component change is enhanced, the decomposition result is optimized by adjusting parameters, the signal segment with the drift rate exceeding the reference value is extracted, the amplitude and time window correlation analysis is combined, dynamic characteristic signals are comprehensively captured, and the accuracy of the dynamic characteristic signals is improved. Complete expression of signal features is enhanced, through weighted integration of the frequency drift rate and instantaneous energy change, key features are extracted, fusion vectors are generated, classification accuracy is improved, classification boundaries are dynamically determined through the distance between the features and the weight ratio, and accurate classification of faults is achieved.

The invention relates to the technical field of clock module precision control, in particular to a clock module precision improving method based on GRU model prediction. Comprising the steps of obtaining frequency drift data and temperature data of a plurality of groups of crystal oscillators of the same model; performing wavelet change filtering on the obtained frequency drift data; constructing a GRU neural network model by using the filtered frequency drift curve and the temperature change curve, and training the GRU neural network model; the prediction model effect is verified through the test set; real-time frequency and temperature data of the crystal oscillator are obtained, and a frequency drift predicted value is obtained through calculation; and compensating the crystal oscillator voltage according to the frequency predicted value. According to the technical scheme, the problems that an existing high-precision clock module is high in power consumption and high in cost can be solved, and meanwhile high-precision time reference in various environments is achieved.

The invention relates to an RTC clock chip frequency drift accurate modeling method and device based on GNSS clock difference data. The method comprises the following steps: receiving GNSS clock error data, reading RTC clock chip data according to a preset interval, and performing time synchronization on the RTC clock chip data by using the GNSS clock error data; in a preset time window, calculating a frequency difference value sequence according to the GNSS clock difference data and the RTC clock chip data; the GNSS clock difference data and the RTC clock chip data serve as input samples of a pre-constructed neural network model, the frequency difference value sequence serves as an output label, the neural network model is trained, and the trained neural network model is obtained; and inputting real-time RTC clock chip data into the trained neural network model, and outputting a current RTC clock chip frequency drift prediction value. By adopting the method, the frequency drift modeling precision of the RTC clock chip can be improved.

The invention discloses a clock calibration system and method, and relates to the technical field of clock calibration. According to the clock calibration method, the clock parameter display time and the real-time display time are obtained in real time for error analysis, if the error exceeds a preset threshold value, historical operation, external environment and interference time sequence data are obtained, correction analysis is carried out to obtain a correction coefficient set, and the display time is calibrated based on the correction coefficient at the next time point. According to the method, the accuracy and comprehensiveness of calibration are greatly improved by comprehensively analyzing the historical operation time sequence data, the external environment time sequence data and the external interference time sequence data; particularly, by calculating an internal circuit correction index, a frequency drift correction index, an environment correction index and an interference correction index, the influence of dynamic factors on the clock time precision in a complex environment can be effectively compensated, and the problems of error accumulation and insufficient correction possibly caused by a single correction model are avoided.

The invention relates to the technical field of anti-seismic performance detection, in particular to an anti-seismic performance detection method and system for an assembled steel-wood composite structure, and the method comprises the steps: arranging a multidirectional acoustic emission sensor in a steel-wood structure node area, applying simulated seismic vibration, and synchronously collecting acoustic emission signals; the method comprises the following steps: preprocessing collected acoustic emission signals, dividing the acoustic emission signals into signals corresponding to microcracks and contact slippage, respectively calculating an energy attenuation rate and a phase offset, and constructing a matrix; micro-impact is applied to the steel-wood node through an electromagnetic excitation device, a response signal is collected, resonant frequency is extracted, the drift distance between the resonant frequency and a reference value is calculated, and the severity of interface damage is determined according to the value of the drift distance; the damage correlation index calculation takes the characteristic value of the interface wave propagation characteristic matrix and the resonance frequency drift distance as input, the damage correlation index is calculated through the correlation coefficient, and the damage grade is divided according to the correlation coefficient. And differential characterization of different damage types is realized through the interface wave propagation characteristic matrix.

The invention discloses a multi-channel clock buffer test system and method, and relates to the technical field of electronic testing, and the method comprises the steps: collecting an original waveform data set, synchronizing a unified reference baseline, and generating a clock output data stream; performing frequency domain transformation on the clock output data stream, extracting dominant frequency drift, harmonic intensity change and phase fluctuation, and generating a spectrum disturbance feature vector sequence; performing recursive estimation on the spectrum disturbance feature vector sequence by using a Kalman filter, correcting state distribution in combination with a Bayesian probability updating method, and generating a health score drift trend vector; and performing multi-scale comparison on the health score drift trend vector, and identifying a channel entering a sub-health area by using an abnormal drift acceleration factor to generate an abnormal channel feature data set. According to the method, complex association between historical failure modes and features is mastered through the training time sequence prediction network, potential health score changes and failure time in the future are effectively predicted, and early warning is achieved.

The invention discloses an audio and video acquisition synchronous management method, and relates to the technical field of data synchronization. The method is executed by main control equipment and comprises the following steps: S1, acquiring a satellite time reference through a dual-mode time service module; s2, based on the pulse signal of the temperature compensated crystal oscillator, a master clock signal is generated according to a formula Tmaster = TGPS + alpha delta T + beta (delta f / f0), TGPS is a satellite time reference, alpha is a temperature compensation coefficient and ranges from 0.2 to 0.8, and beta is a frequency drift correction factor; s3, establishing an inter-device time synchronization communication link through an IEEE 1588PTP protocol, and broadcasting a synchronization pulse by the main control device; s4, the data buffer area is adjusted in real time according to the dynamic buffer control formula D (t) = D0 + k1 * (delta t) 2 + k2 * d delta t / dt, k1 = 0.15 ms-2, and k2 = 2.5 ms2 / s; s5, when the network time delay gt is detected; and at 150ms, switching to a local clock compensation mode, and triggering the extended Kalman filter to re-correct the clock parameters. According to the invention, a hybrid synchronization architecture with local clock correction capability is constructed, and self-adaptive time difference compensation without network dependence is realized.

The invention relates to the technical field of time service safety, and provides a clock frequency drift algorithm monitoring sensing time service protection method and device terminal. According to the method, firstly, clock frequency signals meeting requirements are collected, and preprocessing such as discrete sampling, denoising and resampling is carried out; secondly, calculating and analyzing clock frequency drift features by using mean drift estimation and variance, and constructing feature vectors; and inputting the feature vector into a machine learning classifier trained by historical data, identifying abnormal frequency drift, and realizing perception of a time service error. When abnormity is detected, early warning information including a frequency value, a drift degree and time service error estimation is generated and sent to a monitoring terminal through a wireless communication module. And fusion and weight adjustment of monitoring data of a plurality of clock sources are also included, so that the accuracy of time service protection is improved. The device further comprises a power supply module and a shell, and the system is composed of a plurality of devices and a central monitoring server.

The invention discloses a radio frequency chip heat effect compensation system and method based on multi-physics field coupling, the system comprises a radio frequency chip body, a multi-physics field coupling calculation module, a temperature sensor array and a dynamic compensation algorithm module, and the method comprises the following steps: evaluating frequency deviation caused by a heat effect; collecting multi-point temperature data and converting the multi-point temperature data into frequency drift data; regional temperature regulation and control are executed through a temperature control array, and frequency drift is eliminated. The compensation effect is evaluated in real time, and compensation parameters are dynamically optimized. According to the invention, predictive compensation of frequency drift is realized, the compensation precision is improved by 2-3 times, and the response speed is improved by 5-10 times; the system has self-adaption and self-learning capabilities and can adapt to rapid temperature change as high as 0.5 DEG C / s, and the technical breakthrough that the system is more and more accurate is realized; while the performance is greatly improved, the frequency stability reaches 10 <-8 > magnitude, the phase noise is reduced by 12 dBc / Hz, the power is saved by more than 80%, the area is increased by less than 2 mm < 2 >, and the technical contradiction of high performance and inevitable high power consumption is solved.

The invention relates to the field of optical fiber sensing, and particularly provides a frequency drift suppression method and system for phase-sensitive optical time domain reflection equipment, and the method comprises the steps: dividing an optical cable into a plurality of sampling intervals according to a preset length; obtaining a spatial phase difference of each sampling interval of the optical cable; obtaining a space-time phase difference of each sampling interval of the optical cable; obtaining a target optical cable section on the optical cable, and obtaining a frequency drift phase difference of the target optical cable section; obtaining the minimum space-time phase difference corresponding to the frequency drift pulse time according to the space phase difference and the space-time phase difference; and correcting the frequency drift phase difference of the target optical cable section according to the minimum space-time phase difference. Compared with the prior art, the method has the advantages that the minimum space-time phase difference is extracted from the space-time phase information, the minimum space-time phase difference represents the frequency drift generated by the optical cable in the corresponding pulse time and only influenced by the laser, the frequency drift phase difference can be corrected according to the minimum space-time phase difference, and normal operation of the optical cable is guaranteed.

The invention discloses a data processing method and system of a chromatographic instrument, and relates to the technical field of data processing, and the method comprises the following steps: collecting whole-course original detection signals and external interference signs generated in a chromatographic analysis process, carrying out time alignment under a unified time scale, generating an interference rhythm index, and calculating the interference rhythm index; the reference is used as a unified reference for subsequent signal comparison; and based on the interference rhythm index, performing phase drift comparison on the acquired signal, calculating the phase difference between the detection signal and the interference signal, drawing a beat frequency wandering graph, extracting candidate signal segments of pseudo-period interference according to beat frequency change, and generating a pseudo-period candidate segment list. According to the invention, by establishing the interference rhythm index and comparing the interference rhythm index with the phase drift, the time decoupling of the detection signal and the interference signal is realized, and the sampling anti-interference capability is improved; and through dynamic control of a false peak characteristic fingerprint draft and a misjudgment reason table, signal rhythm correction and peak identification optimization are completed, so that the detection accuracy and the data stability are improved.

The invention relates to the technical field of duplexers, and discloses a duplexer temperature compensation parameter automatic adjusting method and device. The method comprises the following steps: performing working temperature sampling on a duplexer to obtain temperature sampling data, and performing distribution feature extraction on the temperature sampling data to obtain temperature feature data; inputting the temperature feature data into a mechanism information neural network for feature reconstruction to obtain temperature compensation features; performing radial basis function neural network mapping on the temperature compensation characteristics to obtain a duplexer frequency drift state quantity; performing sliding window adaptive Kalman filtering operation on the frequency drift state quantity of the duplexer to obtain a compensation parameter; the compensation parameters are input into a feedforward compensation controller, a voltage-controlled resonator of the duplexer is adjusted through a sliding mode control structure, a frequency compensation signal is obtained, and stable compensation of the frequency of the duplexer is achieved.

The invention relates to the field of sensor data processing, and discloses an MEMS drift correction method based on data dynamic sampling and multi-source fusion, and the method comprises the following steps: S1, collecting MEMS three-axis acceleration original data at a first sampling frequency, and synchronously collecting environment temperature, humidity and air pressure data at a second sampling frequency, the first sampling frequency is higher than the second sampling frequency, the basic drift correction model is established by using the low-frequency data to capture the macroscopic and slow-varying relationship between the environmental factors and the drift, then the residual refinement model is established for the high-frequency data, and the high-frequency residual is specially processed; high-frequency drift components related to the environmental change rate are captured, through the two-stage fusion strategy, the accuracy of the model in the macroscopic trend is guaranteed, high-frequency data are fully utilized to improve the instantaneous correction precision, information loss caused by simple downsampling in a traditional method is avoided, and false signals introduced by rough interpolation are also avoided.