377 results about "Phase correction" patented technology

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

The invention is suitable for the technical field of earth surface monitoring, and provides an earth surface deformation monitoring method and system based on a time sequence InSAR, and the method comprises the following steps: carrying out the SAR image screening and interferogram generation, and collecting corresponding meteorological data and thermal infrared data; performing space-time adaptive atmospheric phase correction, taking the air pressure vertical gradient and the temperature anomaly as driving factors of atmospheric delay, and separating an atmospheric phase through a space-time weighted model; dynamic deformation modeling is carried out, and deformation is decomposed into linear deformation and nonlinear deformation; the method comprises the following steps: taking a mining area road network as a geometric constraint, unwrapping a coherent region by adopting a minimum cost flow algorithm, converting an unwrapping phase into sight-line-direction deformation, and calculating horizontal and vertical deformation components in combination with InSAR sight-line-direction deformation and a digital elevation model. The method adapts to a complex deformation mechanism of a mining area by capturing linear and nonlinear deformation. Through sight line deformation and DEM geometric projection, vertical and horizontal deformation separation is realized, and the deformation direction is determined.

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

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

The invention relates to the technical field of control of manufacturing units, in particular to a composite material rod piece winding tension dynamic compensation control method and system. The method comprises the following steps of: calculating an instantaneous linear velocity pulsation quantity caused by the change of a non-circular section contour of a core mold at each moment; according to the dynamic elastic modulus and the equivalent viscosity coefficient, calculating a phase correction factor for representing the viscoelastic response lag of the prepreg tape at each moment; based on the instantaneous linear velocity pulsation quantity and the phase correction factor at each moment, a dynamic compensation torque instruction is obtained, and the dynamic compensation torque instruction is in negative correlation with the phase correction factor; and the dynamic compensation torque instruction is output to the tension unwinding motor, so that the adjustment of winding tension is realized, the accuracy of tension dynamic compensation control is effectively improved, and the product quality is effectively improved.

The invention discloses a distribution transformer state evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining current and voltage long sequence data through high-frequency sampling, and forming a high-quality data set through expert labeling; signal preprocessing is realized by adopting dual-channel adaptive wavelet packet denoising and cross-correlation sinchinger interpolation phase correction; constructing an asymmetric convolution pyramid to extract current high-frequency and voltage low-frequency multi-scale features, and performing cross-modal fusion by using compressed multi-head attention and a channel-space double-gating mechanism; dynamic random depth regularization is introduced, and a time domain loss function in a fault sensitive period is focused, so that high-accuracy and low-delay real-time state evaluation is realized; the capacity of capturing and recognizing early weak fault features of the distribution transformer in a complex operation environment is remarkably enhanced, and therefore more sensitive and more accurate state early warning is achieved.

The invention relates to the technical field of wireless communication, and discloses a compensation method for electronic radio frequency communication. According to the compensation method for the electronic radio frequency communication, the radio frequency signal and the channel state information are acquired, the original data set is generated, and the preprocessing steps of denoising, signal amplitude correction, phase correction and the like are performed, so that the data quality is improved, accurate parameter evaluation is performed by adopting the minimum mean square error, the accuracy of channel characteristic parameters is ensured, and the communication quality is improved. A mathematical model constructed based on the parameters enables calculation of compensation parameter gain and phase deviation to be more accurate, so that attenuation and distortion caused by signal propagation in a channel are effectively compensated, and finally, quality evaluation is carried out on the bit error rate and the signal-to-noise ratio of the compensated signal, so that the compensation effectiveness is ensured, and the signal quality is improved. And if the compensation is invalid, the calculation can be returned in real time for recalculation, so that the quality of the whole signal is improved.

The invention provides an unmanned aerial vehicle group cooperative suppression method and system based on a distributed antenna array, electronic equipment and a storage medium, and relates to the technical field of unmanned aerial vehicle group cooperative suppression and anti-interference control. Obtaining airflow pressure distribution information; performing vortex field calculation processing on a fluid motion state by using the information to generate vortex field information containing a disturbance area; dynamically adjusting the phase of the antenna array element based on the eddy current field information, compensating the physical deformation of the array and outputting a compensation result; performing cooperative phase correction processing on distributed antenna array beam pointing by using the result to generate a beam phase compensation amount; and finally, cooperative regulation and control processing is performed on the unmanned aerial vehicle group emission signals based on the compensation amount, and an anti-disturbance suppression wave beam pointing to the target is generated. And continuous directional suppression on a moving target in a strong wind disturbance environment can be realized.

The invention discloses a multi-channel audio calibration method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: collecting and separating a main sound channel signal and a bass sound channel signal in a multi-channel audio signal; detecting time delay between a main sound channel and a bass sound channel based on a phase correlation algorithm, and performing adaptive delay compensation; the state change of the audio signal is monitored in real time, and before or when a signal switching event is detected, gradient gain envelope is applied to the bass sound channel signal, so that the signal amplitude gradually changes to a target value according to a preset nonlinear curve; a sonic boom event is analyzed and identified based on multi-dimensional characteristics, a self-adaptive amplitude limiter with a prospective processing capability is started for suppression, and harmonic distortion compensation and phase correction are carried out on a processed signal, so that the problems of signal asynchronization caused by low-frequency output delay of an audio system in the prior art, and the system reliability is improved are solved. Therefore, the low-frequency sound quality and the system stability are improved.

The invention discloses a roadbed settlement and landslide hidden danger identification method and system along a traffic corridor, and the method comprises the steps: obtaining a time sequence satellite-borne data set of a target region, and carrying out the format conversion of the data format of the time sequence satellite-borne data set; generating an interference pair network based on the time baseline threshold; generating a filtered differential interference image set; performing differential interference phase unwrapping processing on the filtered differential interference image set to obtain an unwrapped differential interference image set; performing atmospheric delay phase correction on the unwrapped differential interference image set to obtain an unwrapped interference image set after atmospheric correction; calculating to obtain the annual average settlement rate of the linear traffic corridor area and a time sequence accumulated deformation result; based on the annual average settlement rate of the linear traffic corridor area, the spatial settlement gradient field information of the linear traffic corridor area is extracted, the settlement rate and the spatial settlement gradient field information meeting the hidden danger judgment standard are output, the roadbed settlement and landslide hidden danger extraction and recognition result of the target area is obtained, and the road area detection efficiency is improved.

The invention discloses a GNSS anti-interference closed-loop phase self-correction method based on deep learning, and relates to the technical field of satellite navigation and artificial intelligence, and the method comprises the steps: obtaining an anti-interference array output signal and weight information through an array antenna and space-time adaptive processing; extracting a carrier-to-noise ratio, a weight phase feature and historical positioning quality, and constructing a deep learning feature vector; reasoning an array element-level phase correction reference quantity by using a multi-layer perceptron model, and realizing accurate phase compensation of an array output signal by combining phase error layered modeling, quick-change disturbance prediction and weight sensitivity estimation; an anti-interference perception observation covariance dynamic scaling mechanism is introduced into RTK positioning calculation; on-line learning and model updating are triggered through a positioning quality evaluation result, so that the system has an adaptive evolution capability. According to the method, the GNSS carrier phase quality and the positioning precision under the strong interference condition can be remarkably improved, deep fusion of anti-interference processing and high-precision positioning is realized, and the method has important engineering application value.

The invention relates to the technical field of fault prediction and health management, and discloses a membrane envelope wire breakage detection method, which comprises the following steps: constructing a static impedance reference model containing viscoelastic characteristics, and extracting a time constant representing the physical relaxation velocity of an insulating material; performing phase correction operation on the instruction motion attitude coordinate by using the instant motion velocity vector and the time constant to obtain an equivalent physical attitude coordinate; and querying theoretical electrical characteristic parameters in the static impedance reference model by using the equivalent physical attitude coordinates, and carrying out difference calculation on the theoretical electrical characteristic parameters and the measured values to calculate a residual error characteristic sequence so as to evaluate the health factors. And due to measurement reference deviation caused by viscoelasticity lag of the high polymer material, accurate capture and trend prediction of weak early damage signals are realized.

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The embodiment of the invention provides a signal demodulation method and device, a satellite communication ground receiver and a storage medium, and relates to the field of satellite communication. According to the method, accurate timing capture is realized by performing coarse synchronization on an original received signal, and then the problem of carrier lock loss caused by large-amplitude Doppler frequency shift caused by high-speed motion and the change rate of the large-amplitude Doppler frequency shift is effectively solved by adopting a mode of combining frequency offset correction and dynamic frequency offset compensation; furthermore, a full-field phase compensation sequence is constructed, point-by-point phase correction is implemented, and phase deviation changing along with time is accurately recovered by utilizing an unwrapping and interpolation technology, so that interference of phase ambiguity on demodulation is avoided; and finally, symbol judgment and data demodulation are carried out on the basis of completing frequency and phase double fine correction, so that the error rate is greatly reduced, the robustness and reliability of a satellite communication system under an extreme channel condition are enhanced, and stable and efficient signal recovery under a large-frequency-offset, high-dynamic and low-signal-to-noise-ratio scene is realized.

The invention provides a nuclear magnetic resonance spectrogram analysis method and system, and relates to the technical field of mass spectrometry, and the method comprises the following steps: carrying out Fourier transform on an original FID signal of a to-be-detected solution to obtain a corresponding frequency domain signal; after carrying out phase correction processing on the frequency domain signal, determining positions of a plurality of candidate peaks from the frequency domain signal according to a second derivative; grouping the candidate peaks based on the distance parameter between the adjacent candidate peaks to obtain a plurality of first candidate peak groups; if the difference value between the maximum peak height and the minimum peak height of the candidate peaks is greater than a first preset threshold value, filtering partial candidate peaks in the first candidate peak group; if the difference value between the maximum peak value of the abnormal candidate peak group and the maximum peak value of the first candidate peak groups on the two sides is greater than a second preset threshold value, filtering the abnormal candidate peak group to obtain a target candidate peak group; and performing parameter fitting on the candidate peaks in the target candidate peak group by using a least square method, and determining the solvent peak position and the water peak position.

The application relates to a kind of diffractive optical element beam shaping methods based on spatial frequency filtering, obtain incident light beam, based on the homogenization light beam of preset, obtain corresponding geometric analytical phase distribution;Adjust the homogenization light beam to rectangular flat-top light beam, the phase correction processing of obtained geometric analytical phase;Based on spatial frequency filtering method processing the geometric analytical phase after phase correction, get the light field regulation and control distribution requirement after processing, the light field regulation and control distribution requirement after processing has phase and amplitude regulation and control requirement simultaneously;Design diffractive optical element, make it realize the light field regulation and control distribution requirement required, and utilize the diffractive optical element to realize the incident light beam shaping as the rectangular flat-top light beam.The application can realize the light beam homogenization effect of high uniformity, edge sharp and high diffraction efficiency, and obtain wide application prospect in laser welding, photoetching and biomedical and other aspects.

Systems and methods for detecting shallow subsurface anomalies in a subsurface formation include obtaining seismic data for the subsurface formation; forming one or more seismic gathers by sorting seismic traces from the seismic data into a plurality of bins based on a midpoint and an offset. For bins of the plurality of bins iteratively, encoding a pair of discrete time shifts which are represented by a single binary variable per seismic trace; determining cross-correlations between the seismic traces in the bins to form an objective function based on the encoded discrete time shifts; and determining, by a quantum annealing machine, a set of discrete time-shifts representing the residual refraction statics that maximize stack power for the bins by maximizing the objective function, wherein a next iteration is initialized with a different set of time-shifts than a current iteration. Refraction-based surface-consistent phase corrections are performed for each seismic trace.

The invention relates to the technical field of simulation design, in particular to a design method and system based on a radar antenna, and the method comprises the following steps: resolving a phase error based on thermal deformation, analyzing a dynamic sidelobe variance in combination with displacement spectrum integration and covariance mapping, and generating a waveguide skeleton through electromagnetic energy mapping fluid damping; according to the method, thermally induced phase error data is introduced, the influence of structural deformation on the phase is accurately calculated, and meanwhile, calculation of dynamic group delay and group delay difference is combined, so that the phase correction accuracy is improved. Prediction of influence of structural deformation on electrical performance, data fusion of multiple physical fields and automatic process optimization are realized, design precision and efficiency are improved, limitation of single simulation software is avoided, factors such as material loss and gain evolution are accurately corrected in the design process, performance requirements of the high-frequency radar are met, and complex environment adaptability is improved.

The invention relates to the technical field of semiconductor radio frequency signal processing, and discloses a narrowband signal receiving system and method, and the system comprises a coarse frequency offset value capturing module, a carrier phase locking module, a digital domain carrier tracking module, a timing synchronization and multipath correction module, and a vector amplitude phase correction and equalization module. In the prior art, the technical problems of lock losing, judgment errors and high bit error rate caused by serious multipath interference and frequency offset drifting of narrow-band signals are difficult to solve in complex environments with multipath effect and high frequency offset, such as urban canyons, basements and warehouses. According to the invention, by introducing analog phase locking, digital fine tuning, dual-correlation symbol synchronization based on multi-path sensing and vector amplitude-phase combined compensation overall architecture with cooperation of analog and digital, the problems of synchronization failure and demodulation performance reduction caused by multi-path distortion in the prior art are avoided; and the sensitivity and the overall reliability of radio frequency signal receiving are remarkably improved.

The invention relates to the technical field of X-ray imaging, and discloses an X-ray grating comprehensive imaging information extraction method and system. The method comprises the steps of obtaining and preprocessing original data; acquiring multi-dimensional interference parameters formed by grating phase drift distance, photon statistical noise density and imaging object deformation rate; dynamically calculating a phase correction coefficient, a noise suppression weight and information extraction confidence; phase compensation and noise filtering are executed based on the confidence coefficient, and structure and density information is extracted; parameter changes are monitored in real time, and the extraction process is updated; the system correspondingly realizes the method. The problem of low dynamic scene information precision caused by multi-interference coupling is solved, and the imaging information extraction stability and quality are improved.

The embodiment of the invention provides a spurious emission elimination circuit, a spurious emission elimination method and electronic equipment. The spurious emission elimination circuit comprises a signal transmission branch and at least one spurious emission simulation circuit, the signal transmission branch is used for receiving the input signal and the at least one target stray analog signal, and performing stray elimination on the input signal based on the at least one target stray analog signal to obtain an output signal; the stray simulation circuit is used for receiving corresponding stray simulation information and output signals; generating an initial spurious simulation signal based on the spurious simulation information; and performing phase correction on the initial spurious analog signal based on the output signal to generate a target spurious analog signal.

The invention discloses a short-time approaching rainfall prediction method based on multi-source fusion data and an MIM network, and the method comprises the steps: carrying out the space-time matching of radar observation data, Chinese land surface data assimilation system data and site observation data, carrying out the preprocessing of the matched data, including feature factor extraction, missing value processing and the like, building a deep learning model, and carrying out the prediction of the short-time approaching rainfall. The model is trained, and a multi-source fusion rainfall inversion result is output based on real-time radar data; furthermore, errors of a falling area and rainfall intensity of intelligent grid rainfall forecast are identified, a phase correction technology is utilized to correct a position error of an intelligent grid forecast rainfall zone, meanwhile, precision evaluation is performed on a prediction effect of the deep learning model according to the rainfall amount of short-time nowcasting, and intelligent prediction of short-time nowcasting is realized.

The invention discloses an unmanned aerial vehicle detection system based on WIFI-CSI and YOLO fusion, and belongs to the technical field of wireless sensing and computer vision fusion. Aiming at the problems that the performance of a single-mode detection method is reduced in a weak light, shielding or smog environment, the cross-mode alignment cost is high and a small target is difficult to position, the method comprises the following steps: synchronously acquiring Wi-Fi channel state information data and image data, and carrying out denoising, phase correction, energy normalization and pseudo-image preprocessing on the CSI data; a YOLO deep learning model is used for unmanned aerial vehicle target detection, feature-level fusion or decision-level fusion is adopted to associate CSI coarse positioning with a visual detection result, Kalman filtering is combined to realize target tracking and trajectory output, and a system automatically switches a fusion mode according to CSI signal quality or visual confidence. The method improves the robustness and positioning precision of unmanned aerial vehicle detection in a complex scene, and is suitable for security monitoring and low-altitude safety management.

The invention provides a microwave detection method and device for PE pipe hot-melting weld defects, and the method comprises the following steps: 1) taking a hot-melting weld of a PE pipe and a base material near the weld as detection objects, and carrying out axial and circumferential microwave scanning to obtain a reflection coefficient of each position point; 2) carrying out two-dimensional space Fourier transform on the reflection coefficient of each position point; 3) carrying out phase correction on the converted data in the depth direction; 4) carrying out two-dimensional space inverse Fourier transform on the corrected data to obtain a reflection coefficient of the target; 5, image reconstruction is carried out on the reflection coefficient of the target, and information of the defects in the PE pipe hot-melt welding seam is obtained.According to the scheme, the method has the advantages that the defects can be detected, the defect positions can be determined, and conclusion obtaining does not excessively depend on personnel skills.

The invention discloses a multi-wavelength dynamic interferometer measurement error correction method, and relates to the technical field of interference measurement, and the method comprises the steps: collecting a multi-wavelength interferogram; based on ideal interference light intensity distribution, background light intensity fitting, removal, light intensity adjustment distribution fitting and amplitude normalization are completed through polynomial fitting, and the problem of uneven light intensity distribution is corrected; carrying out Lissajous figure phase correction; adopting an AIA iterative algorithm to extract a single-wavelength phase, and then calculating phase information corresponding to a synthetic wavelength through a multi-wavelength synthesis algorithm; and carrying out dimension reduction on the surface shape data by adopting a PCA method, calculating a mahalanobis distance and removing abnormal signals, and averaging the original surface shape of the reserved data to obtain a final surface shape. According to the method, a polynomial fitting and Lissajous figure fitting double correction technology and a principal component analysis and mahalanobis distance anomaly elimination technology are combined as the core, the problems of phase shift errors, uneven light intensity, multi-wavelength synthesis error amplification and the like are solved in a targeted mode, and full-automatic high-precision measurement error correction is achieved.

The invention relates to the technical field of ultrasonic signal processing, in particular to an ultrasonic data processing method and system and electronic equipment, and the method comprises the steps: obtaining an original ultrasonic echo signal, and carrying out the time gain compensation, band-pass filtering and down-sampling preprocessing; extracting dynamic frequency dispersion characteristic parameters based on Coann class time-frequency distribution; constructing a depth self-adaptive phase compensation model, and correcting nonlinear phase distortion segment by segment; hilbert transform is adopted to extract an envelope, and after logarithmic compression and linear mapping are carried out, image reconstruction is completed by utilizing delay summation beam forming and an adaptive contrast enhancement algorithm. According to the method, the imaging definition is improved through cooperation of frequency dispersion modeling and phase correction, and the method has good depth adaptability and image visualization effect and is suitable for high-precision image acquisition requirements in scenes such as medical ultrasonic imaging and industrial nondestructive testing.

A pulse amplitude modulation 4-level (PAM-4) physical layer (PHY) serializer / deserializer (SerDes) receiver is provided. The receiver may include an analog-front-end (AFE) block to receive a transmit signal, an analog-to-digital converter (ADC) block to convert the transmit signal into a digital signal at sampling intervals defined by a sampling clock signal, a clock and data recovery (CDR) circuit to receive the digital signal from the ADC block and extract a recovered clock signal and a recovered data stream, the recovered data stream containing a sequence of symbols with amplitude values corresponding to four levels of PAM-4, a phase integrator (PI) to generate the sampling clock signal for the ADC block based on the recovered clock signal, and a feedforward phase correction (FFPC) block to receive the recovered data stream and generate a receive signal.

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 relates to the technical field of equipment calibration, and discloses a collaborative directional calibration method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining the circumferential strain distribution data of a drill rod, and extracting the amplitude-frequency characteristics of a dominant vibration mode and the phase offset of an associated coupling vibration mode; generating an amplitude compensation coefficient according to the amplitude-frequency characteristics, generating a time-varying phase compensation factor in combination with the phase offset, and generating a dynamic vibration compensation parameter based on vibration energy distribution dynamic weighted fusion; based on a pre-trained nonlinear phase distortion compensation model, inputting a dynamic vibration compensation parameter and then outputting a gyroscope angular velocity signal after phase correction; performing vibration interference frequency band suppression processing on the accelerometer signal, and outputting the processed accelerometer signal; and performing iterative optimization on the corrected angular velocity signal and the processed accelerometer signal, and outputting a directional calibration result in combination with filtering smoothing processing. According to the invention, high-precision cooperative calibration of the inertial sensor in a multi-mode mechanical vibration environment can be realized.

The invention discloses a photovoltaic panel vibration monitoring method and system based on AI and heterogeneous convergence network communication, and the method comprises the steps: enabling each sensor terminal to transmit a local relative timestamp generated by a free operation timer to a gateway base station along with an uplink data message after completing the vibration data collection and processing in the same collection period; the gateway base station calculates the relative transmission delay inequality of any node pair according to each message receiving moment and the local relative timestamp, constructs a frequency domain phase correction factor at each discrete frequency point according to the relative transmission delay inequality, and corrects the uncorrected cross-spectral density to obtain the corrected cross-spectral density; and a coherence function value is further calculated by combining the self-spectral density of each node, and a vibration abnormal area is positioned according to the spatial distribution of the coherence function value on the photovoltaic array topology. The method can improve the accuracy of multi-node vibration joint analysis and the reliability of abnormal positioning, and is suitable for online monitoring of a photovoltaic power station.