61 results about "Amplitude correction" patented technology

The invention discloses a wind turbine generator impeller anomaly detection method and system based on sound vibration signal identification. According to the method, firstly, impeller response is collected through a microphone / vibration sensor, and a Mel spectrogram is generated; then, a Teager-Kaiser energy operator and self-correlation analysis are utilized, and under the condition of not depending on a rotating speed signal, the rotating period of the impeller is recognized, and frequency spectrum segmentation is carried out; calculating a cross-period Mel frequency spectrum dynamic deviation, and normalizing the cross-period Mel frequency spectrum dynamic deviation through an amplitude correction coefficient related to the rotating speed; generating a periodic coherent energy diagram by adopting an improved structural similarity algorithm; performing filtering enhancement by using a harmonic resonance template, performing morphological deconstruction and parameterization on an abnormal region in the graph, and extracting geometric features; and finally, calculating a comprehensive abnormal score based on the multi-dimensional features and realizing automatic early warning. According to the method, the problems of variable working condition interference and rotating speed dependence are effectively solved, and accurate and stable detection of early abnormality of the impeller can be realized.

The invention provides a user behavior intention recognition method and device based on multi-modal data fusion, and relates to the technical field of data processing.The method comprises the steps that a multi-modal observation sequence is obtained, initial features are formed through time synchronization and mutual information screening, a cross-space initial offset vector is generated in combination with virtual space offset parameters, and the cross-space initial offset vector is obtained; establishing an association relationship between a real action and a virtual action through nonlinear mapping to obtain a cross-space registration feature; generating a correction coefficient according to the proportion of the real action amplitude and the virtual action amplitude, and performing amplitude correction to obtain a cross-space correction feature sequence; compensating rendering delay and synchronous drift by using weighted fusion of the current feature and the lag feature to obtain a time sequence correction feature; outputting cross-space fusion features through a unified embedding space and a cross-modal attention mechanism; and non-linear intention mapping is constructed based on the fusion features, and a user behavior intention result is inferred and output in combination with time smoothing. According to the invention, the accuracy of user behavior intention analysis in a virtual field scene can be improved.

The application discloses a multi-octave wideband frequency conversion assembly, which comprises a frequency conversion circuit, an amplitude control circuit and a switch filter set, wherein the frequency conversion circuit expands the input radio frequency to an intermediate frequency signal through two local oscillator frequency points for the input radio frequency signal and outputs the intermediate frequency signal to the amplitude control circuit; the amplitude control circuit adjusts the amplitude of the intermediate frequency signal output by the frequency conversion circuit; the switch filter set filters the signal output by the amplitude control circuit through a multi-path filter set, filters out harmonics and stray signals, and performs amplitude correction to obtain a multi-octave intermediate frequency output signal. The 3-4GHz signal is expanded to a ten-octave signal of 0.2-2GHz which can be directly processed by a digital circuit through the two local oscillator frequency points of 4 / 5GHz, the output power reaches 10dBm, the harmonic suppression reaches more than 48dBc, the power flatness reaches ±1dB, the dynamic range reaches more than 60dB, and the step is only 0.25dB.

One embodiment is a method of deconvolving overlapping first and second pulses in a photon-counting CT scanning system, the method comprising detecting a first pulse event having a first detected level; detecting a second pulse event having a second detected level; determining an amount of time that elapses between the detected first pulse event and the detected second pulse event; and reconstructing the first pulse and the second pulse using the first and second detected levels, the duration of time between the first and second pulse events, and a known pulse shape.

The invention relates to a system comprising a first and second generator (E1, E2) delivering excitation signals to a first and second resonator (R1, R2) generating chaotic signals. The resonators (R1, R2) are structurally different and coupled to one another. Advantageously, this system makes it possible to synchronize the chaotic signals and comprises: ● a dissipation correction module acting on the modulation frequencies fm1, fm2 of the excitation signals, ● a non-linearity correction module acting on the amplitudes of the excitation signals, ● a resonant frequency correction module acting on the carrier frequencies fc1, fc2 of the excitation signals, ● an amplitude correction module acting on the amplitudes of the chaotic signals. The invention also relates to a synchronization method based on this system.

The invention discloses a system and a method for testing current transformers among transformer substations. The system comprises a mobile master station unit, a plurality of field data acquisition units and a portable standard current transformer. All the units are synchronized to coordinated world time through a global navigation satellite system; the mobile master station unit sets future absolute trigger time, and realizes synchronous acquisition of secondary signals of the current transformer to be detected and the portable standard current transformer by multi-station hardware; based on a standard truth value obtained by a main station self-monitoring loop, amplitude correction factor and phase correction calculation is carried out on each substation signal, and error compensation is completed; furthermore, high-precision and traceable ratio error and angle error results are output through frequency adaptive interception, windowing interpolation spectrum analysis and uncertainty evaluation. According to the invention, power failure is not needed, synchronous, high-precision and traceable comparison of multi-station current transformers can be realized in a wide area range, and the reliability of a power grid metering and protection system is improved.

The invention belongs to the technical field of magnetic resonance signal processing, and aims to provide a spoke image correction method and system based on a constant gradient CPMG sequence. The method comprises the following steps: scanning a specified standard motif by adopting a constant gradient CPMG sequence, and obtaining a frequency-amplitude correction curve according to a scanning result; acquiring a frequency range of a specified standard motif, and fitting the correction curve according to the frequency range to obtain a fitted frequency-amplitude correction curve; a constant gradient CPMG sequence is adopted to scan a to-be-detected sample, and spoke images of the to-be-detected sample at multiple echo moments are obtained; and adopting the fitted frequency-amplitude correction curve to correct the spoke images of the sample to be measured at the plurality of echo moments to obtain the corrected spoke images of the sample to be measured at the plurality of echo moments. The spoke image of the to-be-tested sample can be corrected, and the analysis accuracy of the to-be-tested sample can be improved.

The invention discloses a GIS partial discharge rapid positioning method based on a multi-normal projection principle, and relates to the technical field of partial discharge on-line monitoring, a three-dimensional photoelectric array formed by silicon optical semiconductor sensors is used for obtaining a partial discharge signal amplitude, a direction vector is constructed, and a unit direction is obtained through solving a local intersection point. And further combining with least square optimization of multi-unit rays to obtain initial position estimation of the partial discharge source. On the basis, an amplitude correction and iteration updating mechanism is introduced, observation data are corrected, and a real position is gradually approached, so that high-precision three-dimensional partial discharge source positioning in a complex electromagnetic environment is realized. Through the combination of the silicon optical sensor three-dimensional array and the improved multi-vector projection iterative algorithm, high-precision partial discharge positioning can be realized in a complex electromagnetic environment, the operation reliability and the operation and maintenance efficiency of equipment are remarkably improved, and the method has a wide engineering application prospect.

The application discloses a digital BPM channel amplitude correction method and device, equipment and a storage medium thereof, and relates to the technical field of particle accelerators. The method comprises the following steps: receiving amplitude information and filter initial coefficients of a filter in a digital beam position probe, wherein the amplitude information is obtained by collecting the amplitude of each channel after the digital beam position probe receives a linear frequency modulation signal sent by a correction signal generator, and the linear frequency modulation signal is an analog bandwidth signal of the digital beam position probe; generating a correction coefficient array based on the amplitude information; performing convolution processing on the correction coefficient array and the filter initial coefficients to obtain the latest filter coefficients, and sending the latest filter coefficients to the digital beam position probe, so that the digital beam position probe performs amplitude correction between channels based on the latest filter coefficients. In other words, the amplitude information of the overall frequency band of the digital BPM is combined to improve the accuracy of the digital BPM amplitude correction.

The application discloses a road video event fast detection method based on edge calculation, and particularly relates to the field of computer vision and image processing, and is used for solving the motion evidence distortion problem caused by frame-level time sequence disorder and content gap in road monitoring video. The method is achieved by reading a video segment, constructing a time sequence correction graph according to interframe content similarity and boundary continuity, rearranging a corrected sequence by generating a frame consistency index, estimating a stable motion field and a continuity score on the corrected sequence, and writing back a stable image amplitude correction time anchor point. According to the stable motion field, an event evidence sequence is generated, a track breakpoint is merged according to the time sequence correction graph, backtracking revision is initiated, a candidate event segment is returned, consistency verification is performed on the candidate event, if there is a conflict, a time sequence correction graph and a stable image amplitude are revised across levels, a stable motion field is re-estimated, an output confirmed event is triggered, a trigger result is published, a mapping index is established as a new segment initialization priori, and acceleration time sequence correction and judgment convergence are achieved.

The invention discloses a near-field test calibration method for a radar cross-sectional area RCS, and the method comprises the steps: carrying out the unified modeling of the overall error of a test system into a system error, and sequentially carrying out the phase correction, distance threshold screening, low-pass filtering, amplitude correction, near-far field conversion and the like of original test data. On the basis, a cascade filtering calibration method capable of decomposing filtering layer by layer is provided and is used for accurately calibrating converted data and effectively inhibiting residual noise and disturbance signals in the data, so that high-precision reckoning amplitude and phase information is obtained. In the calibration filtering process, a cascade least mean square (LMS) algorithm is adopted, and the accuracy and stability of a near-field RCS test result are remarkably improved by inhibiting and filtering uncertain noise in a system layer by layer.

The application provides a multi-modal fusion radar tide intelligent adaptive filtering method, and belongs to the technical field of radar tide.The application collects dual-polarized radar signals, performs three-layer wavelet decomposition on vertical and horizontal polarization digital intermediate frequency signals, and marks clutter coefficients based on variance and skewness threshold values, performs adaptive soft threshold processing, and utilizes a convolutional neural network to evaluate residual clutter confidence and dynamically adjust suppression strength, calculates a polarization phase difference sequence and inputs a long short-term memory network to identify false target distance units, combines ray tracing calculation of a digital elevation model to calculate multipath path parameters for phase compensation and amplitude correction, and finally detects real tide height distance Doppler spectrum peak values to obtain accurate tide height values, thereby solving the technical problem that radar tide measurement in a complex marine environment cannot effectively distinguish clutter interference and multipath false targets, resulting in a decrease in measurement accuracy.

The invention discloses a transformer winding high-frequency resonance monitoring method, device and equipment and a medium. The method comprises the steps that signals collected in real time are real-time voltage and current time domain signals output by the secondary side of the mutual inductor; performing high-frequency correction on the real-time voltage and current time domain signals through a pre-calibrated amplitude correction coefficient and a phase delay correction parameter to obtain corrected voltage and current signals; carrying out improved short-time Fourier transform on the corrected voltage and current signals, and respectively extracting a voltage high-frequency component frequency spectrum and a current high-frequency component frequency spectrum; determining a local resonant frequency library of a transformer winding based on a transformer distributed parameter equivalent model established by a finite element method; matching the voltage high-frequency component frequency spectrum and the current high-frequency component frequency spectrum with resonant frequencies in a local resonant frequency library to determine a frequency matching degree; and determining a risk degree evaluation result of the transformer winding state according to the frequency matching degree.

The invention provides a multi-channel synchronous sampling system for weak current detection and a control method thereof. According to the method, a low-noise trans-impedance amplifier array is used for converting multiple paths of weak current signals into multiple paths of analog voltage signals; at least one reference channel for outputting reference noise data; the synchronous analog-to-digital conversion array is used for synchronously sampling the multi-path analog voltage signals and the reference noise data after receiving the global conversion starting signal sent by the field programmable gate array, and converting the multi-path analog voltage signals and the reference noise data into multi-path synchronous first digital data to be output; the field programmable gate array is used for receiving the first digital data and carrying out delay compensation and amplitude correction on the first digital data to obtain multiple paths of time-aligned and amplitude-normalized second digital data; and a filter for referencing the first digital data converted from the reference noise data and eliminating the common-mode noise component in the second digital data to output purified third digital data.

This application discloses a controller heat dissipation interface compensation control method, device, and system, belonging to the field of heat dissipation control technology for servo motors. The method includes: acquiring the trigger signal of the acceleration detection unit; resolving the target interface pressure based on the thermal management target of the power device, and calculating the fundamental amplitude and frequency of the disturbance current; sampling, conditioning, and denoising the bus current, and extracting the dynamic fluctuation component to calculate the pressure coefficient; when the pressure coefficient is less than a preset separation threshold, calculating the disturbance amplitude correction based on a model reference adaptive control algorithm, adding it to the fundamental amplitude of the disturbance current; when the energy of the current spectrum exceeds a preset energy threshold within the first offset frequency range of the structural fundamental frequency, superimposing the second offset frequency onto the fundamental frequency, generating a disturbance current signal, and superimposing it onto the motor's current control signal. This method can quickly compensate for interface contact pressure and transiently suppress the rise in target interface thermal resistance.

A method and system for modifying a series of magnetic resonance imaging (MRI) scan sequences for use in a single MRI examination. In one embodiment, a method and system intersperse a set of B1 amplitude measurement sequences within a received series of MRI scan sequences such that an RF parameter value of at least one scan sequence of the received series of MRI scan sequences is altered based on the results of at least one of the interspersed set of B1 amplitude measurement sequences.

The present application relates to the technical field of sealing detection, and particularly relates to a chemical raw material storage tank sealing performance detection method, device and system, the method comprising: obtaining a pressure gradient sequence, a pressure difference sequence and a sound energy amplitude sequence in a relevant time period corresponding to a closing trigger moment of a breather valve; determining a time delay degree of the sound energy amplitude sequence according to the correlation between the pressure gradient sequence and the sound energy amplitude sequence after each translation, thereby inversely translating the sound energy amplitude sequence to obtain a sound energy amplitude correction sequence; generating a weight sequence according to the pressure difference sequence, thereby weighting and accumulating the sound energy amplitude correction sequence to obtain a sealing failure residual energy; and obtaining a chemical raw material storage tank sealing performance detection result according to the time delay degree and the sealing failure residual energy. The present application decouples the mixed acoustic signal into two independent features with clear physical meaning, thereby improving the accuracy of the chemical raw material storage tank sealing performance detection result.

The application relates to a gradient amplitude correction method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a difference value between a real value and a set value of a diffusion sensitivity factor in a nuclear magnetic resonance equipment imaging process, and determining the difference value as an error value of the diffusion sensitivity factor; determining a correction value of a gradient amplitude according to the error value of the diffusion sensitivity factor; correcting an initial gradient amplitude according to the correction value of the gradient amplitude to obtain a target gradient amplitude; and the target gradient amplitude is used for nuclear magnetic resonance imaging. The method can improve the imaging precision.

The invention provides a photoacoustic endoscopic imaging method and system for achieving optical interpolation based on composite scanning, and relates to the technical field of photoacoustic endoscopic imagines.The method comprises the steps that under a composite scanning mechanism, when a multimode optical fiber is driven to move to each preset position of mechanical scanning, the multimode optical fiber is driven to move to each preset position of mechanical scanning; m * N array type independent focus points are generated according to a pre-stored array type focus binary image corresponding to the preset position, and photoacoustic signals corresponding to the multiple sub-pixel sampling points are collected in parallel through the array type independent focus points at the preset position; a global coordinate grid is established according to preset track coordinates of mechanical scanning, the spatial position of each sampling point is determined in combination with the fixed offset of the sub-pixel sampling points, a light absorption distribution image is reconstructed after time domain alignment, amplitude correction and preprocessing are carried out on the multi-channel photoacoustic signals, and finally a high-resolution photoacoustic endoscopic image is generated. According to the invention, efficient and high-resolution scanning of a global imaging region is realized.

The invention discloses a reflective coherent diffraction imaging method and system based on tilt phase correction, and relates to the technical field of extreme ultraviolet optical imaging. The method comprises the following steps: acquiring extreme ultraviolet diffraction signals to obtain an original data matrix; acquiring an initial inclination angle value of the sample; executing a phase recovery iteration process: substituting the current inclination angle parameter into a coordinate mapping relational expression to calculate a corrected frequency domain coordinate, and determining a reflectivity compensation coefficient; performing coordinate resampling and amplitude correction on the original data to generate correction data; calculating a reconstruction error and dynamically updating an inclination angle parameter; and outputting a reconstructed image if the convergence condition is satisfied, otherwise, returning to re-execute. According to the method, the inclination angle is used as a variable optimization variable to be embedded into an iterative closed loop, and the extreme ultraviolet multilayer film reflectivity compensation is combined, so that the problems of geometric distortion and intensity artifacts caused by sample inclination are effectively solved, sub-pixel-level angle correction precision and high-fidelity image reconstruction are realized, and the imaging efficiency and stability are remarkably improved.

The invention relates to the technical field of intelligent traffic and automobile active safety, and discloses an automatic control method and system for an intelligent automobile lamp, and the method comprises the steps: collecting a road environment reflection signal through a radar sensor, and obtaining original echo data through filtering, gain adjustment and analog-to-digital conversion; doppler filtering is applied to separate velocity components, static clutters are suppressed, and a filtering frequency spectrum is obtained; identifying a rigid target cluster and rejecting a signal thereof, and performing amplitude correction to obtain a residual spectrum; performing time-frequency transformation on the residual spectrum to extract modulation features, judging a micro-Doppler effect to determine potential pedestrian signals and extracting limb motion features; and after matching with a standard gait database, predicting a pedestrian track through extended Kalman filtering, calculating an intersection point with a vehicle driving path, generating a light distribution control instruction according to a time difference or maintaining a conventional light distribution mode, and realizing automatic control of the vehicle lamp. According to the method, pedestrians in a complex environment can be accurately identified, adaptive control of the vehicle lamp is realized, and the night driving safety is improved.

The application discloses a kind of wide dynamic range signal measurement error calibration method and system, the present application includes on harmonic signal measurement experimental platform for specified harmonic different amplitude, different temperature is tested multiple times and the amplitude data of harmonic signal measurement device output is collected;Nonlinear parametrization function about amplitude correction parameter vector L is constructed and fitting error function;Combining the amplitude data collected and nonlinear parametrization function and fitting error function, amplitude correction parameter vector L is iteratively solved based on gradient descent method and substituted into nonlinear parametrization function to obtain temperature correction function, whether continue to iteratively solve amplitude correction parameter vector L according to the correction result of temperature correction function is judged.The present application aims to solve the error problem influenced by temperature change in power system harmonic signal measurement, and improve the accuracy and reliability of harmonic signal measurement in power system by effective error correction.

The embodiment of the invention discloses a seismic data processing method and device, electronic equipment, a storage medium and a computer program product. The method comprises the steps that initial seismic data, at least one alternative shielding waveform and alternative amplitude correction coefficients corresponding to the at least one alternative shielding waveform of a target area are acquired, the initial seismic data comprise at least one seismic channel, and the at least one alternative shielding waveform is in one-to-one correspondence with the at least one seismic channel; for each seismic trace in the at least one seismic trace, determining a matching waveform from the seismic trace according to the alternative shielding waveform corresponding to the seismic trace, and performing amplitude correction processing on the matching waveform according to an alternative amplitude correction coefficient corresponding to the alternative shielding waveform to obtain a target shielding waveform; and removing the target shielding waveform corresponding to at least one seismic trace in the initial seismic data to obtain target seismic data. According to the technical scheme provided by the embodiment of the invention, the shielding waveform in the seismic data can be accurately removed.

The invention discloses a multipoint average phase extraction method and system based on local Hilbert difference, and belongs to the technical field of signal processing. The method comprises the following steps: removing a direct-current component of a beat frequency signal; constructing a complex analysis signal through Hilbert transformation, and carrying out amplitude normalization to obtain a standard cosine signal; suppressing noise by using moving average triangular filtering; and selecting a plurality of fixed points in the middle section of each modulation period, calculating an initial phase through an arc cosine function, extracting and averaging phase variations of the plurality of points in combination with an uphill and downhill region judgment and period expansion mechanism, and outputting high-precision phase data. Amplitude correction and peak detection in a traditional method are avoided, and the method has the advantages of being simple in algorithm, high in real-time performance and high in stability and is particularly suitable for a frequency modulation continuous wave laser interference displacement measurement system.

The invention relates to the technical field of vehicle noise simulation, in particular to an accelerated driving in-vehicle noise simulation method and device, and the method comprises the steps: obtaining an engine rotating speed signal, so as to calculate the noise frequency of each order at a corresponding rotating speed, generating a noise time domain signal of each order according to the noise frequency of each order and a pre-constructed narrowband noise time domain signal database; obtaining an A-weighted sound pressure level order slice to obtain a sound pressure level curve of each order, and calculating an amplitude correction coefficient curve of an actual sound pressure value; and performing time domain signal amplitude correction by using the amplitude correction coefficient curve to generate a final engine order noise simulation signal so as to generate a playing audio for noise simulation in the accelerated driving vehicle. Therefore, the problems of long sound quality development period and high trial and error cost caused by the fact that the modified overall acoustics cannot be accurately predicted in the early stage of design due to the fact that an existing sound quality development mode excessively depends on personal experience and subjective hearing feeling of engineers in the prior art are solved.

The application discloses a correction testing device and method for containment penetration sealing detection and evaluation, and belongs to the field of nuclear safety. The device comprises a main simulation module (radiation-resistant acrylic cylinder), a pore simulation module (a plurality of diameter thin wires form a preformed through hole), a pressurized sealing module, a sound insulation anti-interference module and a measurement adaptation module. By establishing a'sound intensity-leakage rate' calibration curve in the laboratory and combining with the field environment background correction, the quantitative evaluation of the leakage rate of BC type penetration under low pressure conditions based on the ultrasonic leak detection method is realized. The method flow is as follows: device sealing verification, flow supplement method for determining standard leakage rate, ultrasonic measurement for recording test sound intensity and background, calculating net sound intensity, establishing a calibration model by cubic polynomial fitting, measuring the field measurement environment background and calculating the linear amplitude correction coefficient, and substituting the calibration model to obtain the field leakage rate. The device takes into account the influence of field noise, is convenient for online rapid detection of nuclear island, reduces detection cost and radiation exposure risk of personnel.

The application relates to the medical technology field and provides a signal acquisition device and method. The device comprises a signal acquisition module, which is used for acquiring a first ECG signal and a first gradient pulse interference signal generated in a scanning process; and a signal processing module, which stores an electromagnetic interference signal correction coefficient and is used for correcting the amplitude of the first gradient pulse interference signal based on the electromagnetic interference signal correction coefficient, and then filtering out the electromagnetic interference signal in the first ECG signal based on the first gradient pulse interference signal after the amplitude correction, so as to obtain a target ECG signal. The application can reduce the loss or distortion of the ECG signal and improve the cardiac scanning image quality of a magnetic resonance imaging system.

This invention provides a water quality monitoring and analysis method based on big data analytics, belonging to the field of big data processing technology. The method integrates fluid characteristic data and flow sequence data to generate a boundary layer mapping operator. Based on the boundary layer mapping operator, amplitude correction is applied to the water quality data sequence to generate a first signal sequence. Phase synchronization mapping is then performed on the first signal sequence using fluid characteristic data to generate a feature vector set. The flow sequence data is associated with the feature vector set, and the phase space data manifold is reconstructed. Trajectory topological features are extracted, and a classification index is output. This invention eliminates the response amplitude deviation caused by flow velocity fluctuations in the diffusion boundary layer at the detection interface, corrects the phase shift caused by heterogeneous indicators in the spatiotemporal dimension, and solves the ambiguity problem in pollution source tracing under non-stationary signal backgrounds through topological geometric criteria, ensuring the data perception fidelity and attribution accuracy of the system under complex dynamic flow field conditions.

The invention discloses a brain function monitoring-based personalized intervention scheme intelligent adjustment method and system, and relates to the technical field of sound wave diagnosis. Drift sensitivity analysis and output difference comparison are carried out on electroencephalogram signals according to acquisition channels, and dynamic normalization and amplitude correction are carried out on the signals on the basis, so that the consistency of the channels in feature scale and amplitude distribution is ensured. Layered error tracking and drifting accumulation prediction analysis are carried out on the feature vectors of the electroencephalogram signals of all the channels, an electroencephalogram signal error propagation graph is formed, and the accumulation effect of drifting in a feature layer can be restrained. Based on this, the weight and the activation value of the model are further dynamically corrected in the network layer, node-level and channel-level real-time self-adaptive correction is realized, full-link drift sensing and self-adaptive correction from the signal layer to the model layer are realized, the accuracy and the consistency of electroencephalogram signal feature extraction are effectively improved, and the accuracy and the reliability of electroencephalogram signal feature extraction are improved. And the accuracy and the safety of the personalized intervention scheme in execution are also ensured.

This invention provides a machine vision-based variable-diameter feeding control method and system for a waste crusher, relating to the field of waste treatment technology. The specific steps include: continuously acquiring images of the waste before it enters the crusher; extracting the waste's outline and obtaining its dimensions; determining an initial target opening size based on the dimensions, generating a target opening adjustment curve after continuous constraint and amplitude correction, and storing it as a displacement-opening correspondence table; detecting the feeding displacement in real time during the feeding process and obtaining the target opening size from the table; controlling the variable-diameter mechanism to adjust the feed inlet, simultaneously acquiring a position feedback signal to determine the actual opening size, comparing the actual opening with the target opening, and correcting the opening adjustment of the variable-diameter mechanism in a closed loop based on the comparison result. This invention achieves adaptive dynamic adjustment of the feed inlet opening size, effectively avoiding blockage and overload, and improving the crusher's operational stability and processing efficiency.