689 results about "Phase offset" patented technology

The invention provides a VDSL ultra-low time delay communication method and system, and relates to the technical field of communication, and the method comprises the steps: encrypting a clock synchronization channel through a quantum key distribution protocol, dynamically dividing micro time slot resources in an orthogonal frequency division multiplexing symbol period, and generating a dynamically adjusted micro time slot resource distribution result; calculating an optimal phase offset matrix of the metasurface intelligent reflecting surface through a depth deterministic strategy gradient algorithm to obtain an optimized electromagnetic wave propagation path; generating a global optimization check matrix by aggregating the locally trained lightweight error correction model gradient of each node to obtain a compensated data stream; and constructing a causal graph model dynamic pruning high-entropy path to minimize causal entropy, through multi-agent reinforcement learning, taking time delay-energy efficiency as a game target to decide an optimal modulation order and a subcarrier switching strategy, and obtaining an optimized stable communication link. According to the invention, high-reliability and low-delay communication basic support is provided for high-precision intelligent manufacturing.

The invention relates to the technical field of cable fault detection, in particular to a cable fault analysis system based on big data, which comprises a disturbance feature extraction module, a time sequence hierarchy judgment module, a reflection characteristic analysis module, a topological section identification module and a fault path mapping module. According to the method, gradient inflection points are extracted by calculating voltage and current increment included angles at adjacent moments, spatial-temporal characteristics of disturbance signals are correlated, interference of noise to a starting point mark is reduced, time difference is fitted in combination with cable length, deviation over-threshold abnormal points are dynamically filtered, influences of synchronization errors on sorting are eliminated, and fault path mapping stability is improved; the method comprises the following steps: generating characteristic parameters by fusing amplitude values and wave crest intervals of main waves and reflection waves, quantifying amplitude attenuation and phase offset coupling, enhancing the multi-path superposed signal separation capability, judging the reflection characteristic similarity of a physical section based on a Manhattan distance and a support vector machine, and dynamically dividing a fault section in combination with line topology. The problem of fuzzy positioning in a branch parallel scene in a traditional method is solved.

The invention relates to the technical field of software time synchronization, and discloses a software time synchronization method and system for multi-sensor data fusion, and the method comprises the steps: extracting temperature, load and drift frequency characteristics through principal component analysis based on the working state and historical drift data of a sensor, and constructing a confidence evaluation model to calculate the credibility of a timestamp; identifying an abnormal node group by using k-means and an isolated forest algorithm, analyzing a phase deviation fluctuation and network delay interaction effect, extracting a nonlinear drift feature in combination with a Prophet algorithm, and calculating a phase correlation value by using Hilbert cross-correlation; and dynamically adjusting node clock parameters and generating a calibration timestamp according to the network influence weight and the stability evaluation result. According to the method, the problem of time desynchrony caused by clock drift and network delay factors in a distributed system is effectively solved, and the overall time consistency and reliability of the system are improved.

The invention provides a frequency converter dynamic fault diagnosis method and system based on a multi-brand load test platform. According to the method, multiple real-time operation parameter sets are acquired, the amplitude attenuation threshold and the frequency fluctuation interval of a voltage waveform fragment are dynamically adjusted according to a load mode configuration file, the dynamic voltage reference parameter corresponding to the current load mode is generated, and then the actual waveform and an expected current phase curve are compared frame by frame; the method comprises the following steps: firstly, calculating to obtain a phase offset, then constructing a multi-dimensional operation characteristic spectrum, then carrying out time sequence cross validation on a sudden change time node of a power factor jump trajectory and an abnormal waveform position in a harmonic distortion incidence matrix, outputting an abnormal mode code, and finally, matching a load adaptation grade constraint condition to generate a diagnosis report; according to the technical scheme provided by the invention, the fault diagnosis precision and the cross-brand system adaptation capability in a complex load scene are remarkably improved, and the problem of misjudgment of a single brand threshold rule in a multi-device scene is effectively solved.

The invention relates to the technical field of electrical detection, in particular to an electricity meter load monitoring method and system based on an electric energy quality analyzer, and the method comprises the following steps: extracting three-phase voltage phase deviation characteristics in a disturbance period, combining with the comparison of a frequency band change trend and fundamental frequency power, recognizing an interference coupling section, and analyzing a jump frequency point; and outputting an ammeter load monitoring result. According to the method, the phase deviation angle of the three-phase voltage is extracted in the voltage disturbance period, and the cross-phase synchronization index is constructed, so that the synchronous response characteristics of different loads to disturbance can be accurately revealed, and the accuracy of load response attribution judgment is enhanced. On the basis of cross-phase synchronous analysis, a corresponding relation between frequency band characteristics and response attribution is constructed, so that load response subdivision has a phase difference identification capability and a frequency behavior calibration capability, and the discrimination robustness under a multi-source interference background is improved.

The invention relates to a rectification harmonic suppression control method for a double reverse star transformer. The method comprises the following steps: establishing a rectifier bridge arm phase characteristic parameter table in a control platform, and recording a theoretical conduction phase, winding attribution and waveform synchronization characteristics of a bridge arm; in the operation process of the rectification control unit, the output current of a transformer and the conduction state of a bridge arm are collected, and a rectification operation state data set is generated; and calculating bridge arm conduction phase deviation, and analyzing a corresponding harmonic component to obtain a mapping relation between a bridge arm state and harmonic distribution. And judging whether the current bridge arm configuration meets the phase coverage requirement of the target rectification pulse number or not according to the mapping result, and if not, selecting a standby bridge arm group with a preset phase difference and generating a switching instruction. And the rectification control unit responds to the instruction to lock the current bridge arm conduction path and release the target bridge arm group so as to realize bridge arm resource dynamic reconstruction and rectification performance optimization. Harmonic waves can be effectively suppressed, and the topology adaptability and the output quality of the rectification system are improved.

The invention provides a baseband radio frequency signal data feedback processing method based on vector modulation, and the method comprises the steps: firstly receiving a baseband signal data set transmitted by a target radio frequency link in a preset frequency band, and the baseband signal data set comprises a plurality of signal frame original modulation parameters and corresponding radio frequency feedback signal waveforms; calculating a feedback error index composed of a phase offset, an amplitude distortion factor and a spectrum leakage factor according to a radio frequency feedback signal waveform, quantifying a modulation error, carrying out time-frequency domain conjoint analysis on the feedback signal waveform, extracting an error feature vector, inputting the error feature vector into a pre-training model for cross-frame correlation learning, and carrying out the correlation learning; according to the method, a dynamic adjustment parameter sequence containing a time sequence dependency relationship is generated, and finally a closed-loop feedback control link is constructed based on the dynamic adjustment parameter sequence and original modulation parameters, so that precise processing and optimal control of baseband radio frequency signals are realized, and the signal transmission performance is effectively improved.

The invention relates to the technical field of audio signal processing, and discloses a room sound correction method, device and equipment for audio equipment and a storage medium, which are used for improving the accuracy and correction effect of correction parameters and effectively improving the acoustic effect of the audio equipment in a room. The room sound correction method of the audio equipment comprises the following steps: acquiring response data of a room to a multi-band preset test signal, and extracting room acoustic data by adopting a time-frequency conjoint analysis method, the room acoustic data comprising frequency attenuation, reflection paths, phase shifts and reverberation time information of different bands; based on the room acoustic data, performing compensation processing by using preset microphone calibration data to obtain a calibrated frequency response curve; performing fitting calculation on a preset ideal frequency curve and the calibrated frequency response curve according to an optimization algorithm to obtain specific correction parameters of the room; and correspondingly adjusting the output of the audio equipment according to the correction parameter.

The invention provides a medical equipment fault detection method and system based on machine learning, and relates to the technical field of fault detection. The method comprises the steps of monitoring motor start-stop division operation cycles, synchronously collecting and processing vibration, frequency difference and voltage signals, calculating characteristic difference to generate a dynamic sequence, extracting a non-convergence trend and phase deviation, fusing voltage and frequency fluctuation characteristics, constructing a threshold rule to judge abnormity, and outputting a light fault early warning signal. According to the invention, through precise monitoring of motor start-stop nodes, period division, collection of vibration, frequency and voltage signals, combination of time alignment and noise filtering, improvement of signal quality, cross-period calculation of characteristic difference, and extraction of non-convergence trend and phase offset, the ability of capturing tiny anomalies is enhanced; according to the method, multi-dimensional indexes such as voltage fluctuation and frequency deviation are fused, a threshold judgment mechanism in a continuous window is constructed, stable identification and early warning of equipment light faults are achieved, and the detection accuracy and response timeliness are improved.

The invention provides an optical-electric hybrid ultra-low time delay communication method and system, and relates to the technical field of communication, and the method comprises the steps: outputting a global synchronous clock signal with clock jitter less than 1ppm, dynamically dividing micro time slot resources in an orthogonal frequency division multiplexing symbol period, and generating a dynamically adjusted micro time slot resource distribution result; calculating an optimal phase offset matrix of the metasurface intelligent reflecting surface through a depth deterministic strategy gradient algorithm to obtain an optimized electromagnetic wave propagation path; generating a global optimization check matrix by aggregating the locally trained lightweight error correction model gradient of each node to obtain a compensated data stream; and constructing a causal graph model dynamic pruning high-entropy path to minimize causal entropy, through multi-agent reinforcement learning, taking time delay-energy efficiency as a game target to decide an optimal modulation order and a subcarrier switching strategy, and obtaining an optimized stable communication link. According to the invention, high-reliability and low-delay communication basic support is provided for high-precision intelligent manufacturing.

The invention belongs to the technical field of signal synchronization, and discloses a multi-camera anti-shake time sequence synchronization control system and method based on an FPGA. The method comprises the following steps: taking an FPGA as a core, generating an FSYNC signal as a camera exposure reference, and obtaining a delay value through a timestamp and differential measurement; acquiring I MU data and obtaining a global motion vector through a gradient descent algorithm; analyzing by combining the two to obtain phase deviation and feeding back the phase deviation to the FPGA, and adjusting the FSYNC signal by combining the global motion vector by the FPGA according to the phase deviation; according to the method, nanosecond timestamp recording is realized through a homologous clock reference and hardware-level signal binding mechanism, and the limitation of dependence on static time difference compensation in the prior art is broken through in combination with global motion vector analysis and dynamic phase offset adjustment.

The invention relates to the technical field of digital management, in particular to a digital management system for cold heading and heat treatment processing of fasteners, which comprises a phase deviation identification module, a load regulation and control parameter generation module, a heat treatment efficiency regulation and control module, a defect type association control module and an early warning instruction output module. According to the method, a load change node is positioned through a main shaft angle value, synchronous offset between a main shaft and a slave shaft is identified by combining multi-shaft displacement and load data, an angular displacement point in an impact rhythm, a corresponding speed and a holding time length set value are extracted, and targeted impact regulation and control parameters are formed; in the heat treatment stage, the fluctuation trend of heat conduction efficiency is recognized by combining the surface area and temperature rise data of the fastener, process response establishment of multiple types of defects is achieved by combining the crack size, the hardness value and the surface atlas label in the machining period, and shutdown and feeding interruption signals are issued to the control terminal according to the machining beat continuous triggering condition. Defect closed-loop linkage control in the fastener cold heading and heat treatment process is achieved.

The invention discloses a permanent magnet synchronous motor current dynamic coupling correction method, which comprises the following steps of collecting motor three-phase stator current, performing Clark transformation to obtain a current value under an alpha-beta static coordinate system, and meanwhile, collecting through a position sensor to obtain an electrical angle true value; performing low-pass filtering calculation on the current value under the alpha-beta static coordinate system to obtain a filtering current value, and performing operation through a sliding-mode observer and a PLL phase-locked loop to obtain an electrical angle observation value; calculating to obtain a compensation adjustment coefficient according to the true value and the observed value of the electrical angle, and further calculating to obtain a current value after phase offset compensation; and performing complementary filtering calculation on the filtering current value and the current value after phase offset compensation to obtain a coupling correction current value for current loop calculation, inputting the coupling correction current value into a motor control current loop PID algorithm, and generating a PWM driving signal to drive a motor in combination with vector control. According to the method, the problems of high-frequency interference and phase deviation of current sampling can be solved, so that the motor control efficiency and the dynamic performance are improved.

The invention discloses a low-frequency load shedding method and system based on zero crossing point real-time frequency tracking, and the method specifically comprises the steps: setting a dynamic time window according to the power frequency characteristics of a sensing signal, and removing an abnormal zero crossing point exceeding the dynamic time window; matching a pre-stored harmonic feature library, establishing a mapping relation between a harmonic mode and a phase offset, and performing adaptive phase compensation on a pseudo zero crossing point of the sensing signal; a sensing signal, PMU phasor data and meteorological parameters are input into a three-dimensional convolutional neural network, a cross-modal incidence matrix is calculated through a self-attention mechanism, a future frequency change trajectory is predicted in combination with an LSTM unit, and an optimal load shedding strategy is output; and based on the optimal load shedding strategy, in combination with a forward acceleration criterion and reverse fault locking, executing emergency load shedding according to load importance grading. The technical bottleneck of a traditional low-frequency load shedding device is effectively solved, and the performance and reliability of frequency stability control of the power system are remarkably improved.

The invention provides a power grid frequency detection method, system and device and a medium, and the method comprises the steps: carrying out the narrowband signal decomposition of an obtained input voltage signal of a power grid through a null-space tracking algorithm, and obtaining a fundamental main mode component of the input voltage signal; performing low-pass processing on the fundamental wave main mode component to obtain a fundamental wave signal of the fundamental wave main mode component; performing discrete Fourier transform on the fundamental wave signal to obtain phase information of the fundamental wave signal; according to the phase information of the fundamental wave signal, calculating phase deviation information of the fundamental wave signal in pre-selected adjacent cyclic waves to obtain frequency estimation information of the power grid; according to the invention, narrow-band decomposition is carried out on an input voltage signal through a null-space tracking algorithm, so that a fundamental main mode can be accurately extracted; and phase deviation information can be determined based on discrete Fourier transform, so that when the interference frequency of the power grid is close to the fundamental frequency, high separation precision can be kept, and the accuracy of power grid frequency estimation can be improved.

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 embodiment of the invention provides a broadband signal dynamic generation method and system based on multiple clock sources, and the method comprises the steps: monitoring a target frequency in real time through a field programmable gate array, and automatically switching to a corresponding target clock source based on a frequency band to which the target frequency belongs; correcting the phase difference corresponding to the new and old target clock sources through a phase compensation register when the target clock sources are switched, and loading a compensation value to a phase offset register of a direct digital frequency synthesis chip; a fundamental waveform of a broadband signal is generated based on a direct digital frequency synthesis chip, multiple harmonic components are superposed through a fractional accumulation method, and each harmonic amplitude is independently controlled through a look-up table method; an output signal of the power amplifier is collected through the analog-to-digital converter, error information of the actually measured waveform and the theoretical waveform is extracted, the phase offset register and the harmonic amplitude look-up table coefficient are dynamically corrected, and a target broadband signal is output. Unification of broadband coverage, high resolution and quick response is realized.

The invention relates to the technical field of power system court management, and particularly discloses a court identification and user binding method based on a special transformer acquisition terminal, which comprises the following steps: separating harmonic interference generated by start and stop of an electric welding machine through a kurtosis index and time-frequency energy entropy fusion detection method, and extracting a fundamental voltage and a pure power signal; constructing a dynamic time bending model containing phase consistency and gradient feature constraint based on the fundamental wave voltage, and calculating voltage track similarity to judge electrical coupling; for the users with electrical coupling, dynamic weight power cross-correlation analysis is fused to generate a comprehensive decision value, and a space-time diagram neural network is utilized to update a transformer area topology structure online in combination with a historical topology change event, so that the dynamic determination of the transformer area to which the users belong is realized; through multi-dimensional feature fusion and anti-interference algorithm design, the problems of phase deviation and waveform distortion caused by electric welding machine harmonic waves are reduced, and the transformer area identification accuracy and real-time performance are improved.

The invention provides a mainboard testing method and system, and relates to the technical field of mainboard testing methods.The mainboard testing method comprises the steps that firstly, an impedance compensation matrix is generated through pre-calibration sweep frequency signals, full-band dynamic calibration is conducted on probe impedance characteristics, and signal attenuation and phase deviation caused by impedance mismatch between a testing probe and a mainboard interface are eliminated; secondly, based on multi-channel frequency domain filtering and linear combination, separating frequency domain sensitive frequency bands and time domain fluctuation characteristics of test parameters, calculating parameter weights by fusing frequency domain energy and time domain variance, avoiding the limitation of single domain analysis, and enhancing the detection sensitivity of the hidden defects of the mainboard; according to the test parameter weight vector and the probe weight mapping matrix, the test parameter weight vector is converted into a test probe weight vector, finally, the parameter importance is quantified as a basis for probe excitation intensity and sampling rate adjustment, and the beneficial effect that test resources are distributed according to needs is achieved.

The invention discloses a carrier tracking method suitable for a multi-bit spread spectrum signal, and relates to the technical field of multi-bit spread spectrum, the carrier tracking method comprises the steps of coarse frequency offset correction, multi-bit spread spectrum, average phase estimation and delay phase correction.The carrier tracking method comprises the steps that firstly, a sliding DFT algorithm is adopted to estimate frequency offset, and a coarse frequency offset available correction signal is obtained; secondly, adaptively selecting the number of available windows according to historical data corresponding to the current signal-to-noise ratio; the method comprises the following steps: firstly obtaining a window intermediate point spread spectrum period, then extracting a carrier phase estimation value of the window intermediate point spread spectrum period, finally delaying a correlation value by the spread spectrum period to realize time sequence alignment and eliminate phase deviation, and finally obtaining information bits corresponding to each spread spectrum period by extracting and correcting a real part of the correlation value, matching a local sequence number and mapping. According to the method, the phase estimation precision under the low signal-to-noise ratio can be improved, parameter self-adaption to high and low dynamic scenes of a satellite is realized, the coherent judgment performance is improved, and the hardware complexity is reduced.

The invention discloses a low-complexity MSK coded modulation system phase synchronization receiving system and method, and relates to the technical field of continuous phase modulation. On one hand, an original message is coded and modulated by constructing a pre-coding mode, a receiving end realizes optimal sampling point extraction at the minimum intersymbol crosstalk moment after phase decoupling frequency conversion processing, MSK is converted into BPSK-like modulation, oversampling processing is not needed, modulation phase components of a receiving synchronization section can be offset, and the modulation efficiency of the receiving synchronization section is improved; therefore, accurate estimation of Doppler phase and frequency is realized, and the anti-Doppler capability is improved. On the other hand, coherent demodulation soft information is directly output after the real part of the signal subjected to Doppler frequency offset and phase offset compensation is obtained, the complexity of the demodulation algorithm is low, the performance of the demodulation algorithm is equivalent to that of BPSK, the demodulation algorithm is remarkably superior to that of an MSK optimal demodulation receiver in a low signal-to-noise ratio region, and the demodulation algorithm is particularly suitable for a bit interleaving coding modulation system combined with channel coding and has a wide application prospect. And reliable transmission under a low signal-to-noise ratio can be realized.

A predictive artificial intelligence (AI) engine is trained phase offsets measured between global network satellite system (GNSS) derived clocks and precision timing protocol (PTP) derived clocks and network parameters including network impairment metrics in a packet network. The predictive AI engine may predict which PTP input source should be selected by a network element, phase offset(s) to be applied to the PTP input source, and which network element(s) should apply phase offset(s). Other embodiments are disclosed.

The invention provides a method for correcting phases of an inner ring and an outer ring after power amplification and related equipment, and relates to the technical field of multi-path complex channels. And dividing the multipath complex signal into an inner ring and an outer ring. And performing exponentiation on the inner ring signal to eliminate the phase of the modulation information, and only remaining the residual phase information at the moment. The accumulation processing can integrate the phase information of a plurality of sampling points, and further highlights the overall phase change trend. In the phase calculation, the processed information is converted into phase data which can be directly analyzed, the phase offset is accurately calculated and corrected based on the phase data obtained in the previous steps by changing the direction and performing the extraction operation, the problems of inconsistent phases of the inner ring and the outer ring and disordered relative positions caused by a power amplifier are solved, and the communication quality and the system performance are improved.

The invention relates to a zero calibration weak measurement high-sensitivity interval compensation method and system, and the method comprises the steps: collecting the light intensity data of two paths and four channels in a zero input state, solving the asymmetry caused by the loss difference of the channels through a weak measurement method, and carrying out the calculation of the asymmetry. And correcting the post-selection state and the compensation sensitivity of the system according to the intensity difference of the output projection to the horizontal polarization state and the vertical polarization state, calculating the phase offset of a high-sensitivity interval according to the loss difference of the four channels, generating a compensation phase, and modulating the center of the high-sensitivity interval to a working point. Compared with the prior art, high-sensitivity loss and high-sensitivity interval offset caused by system asymmetry can be corrected through phase compensation and post-selection state correction, it is ensured that a measurement system always works in an optimal sensitivity interval, the measurement sensitivity and stability of a photoelectric detection system under weak measurement are improved, and the measurement accuracy is improved. The method is suitable for application scenes with strict requirements on tiny signal detection.

The invention relates to the technical field of pulse acquisition, in particular to a high-speed ADC (Analog to Digital Converter) and FPGA (Field Programmable Gate Array) coordinated extremely-narrow pulse signal acquisition system, which comprises a phase identification monitoring module, a phase lock reference updating module, a sampling permission control module, a prohibition feedback identification module and a synchronous trigger adjustment module. According to the method, a beat tolerance judgment mechanism is introduced, hyper-bound phase deviation trend statistics and frequency vector extraction are combined, beat correction is carried out by utilizing a directional hopping cumulant and a period adjustment amount, a sampling permission judgment and keeping window alignment mechanism is introduced in a multi-frame period, and a two-way judgment means of a sampling starting trigger value is adopted, so that the beat tolerance of the multi-frame period is judged. And meanwhile, centralized extraction and frequency directivity statistics are carried out on the hopping direction in the sampling prohibition time sequence, the synchronous mismatch trend is distinguished, and the initial beat position is adjusted, so that the time domain characteristics of the narrow pulse waveform are kept continuous, the edge response is prevented from deviation, the trigger structure is stable and reliable, and the overall sampling judgment is more accurate and efficient.

The invention relates to a sound box built-in power amplifier remote audio transmission and control method based on 5G communication, and the method comprises the steps: obtaining real-time monitoring data in an audio data transmission process, and generating an initial delay distribution data set for each audio channel; analyzing network delay fluctuation of each audio channel through a timestamp calibration method, and determining a delay reference value; setting a delay deviation threshold range according to the delay reference value, identifying an abnormal channel and recording a delay offset; analyzing a phase relation of the audio data stream after time correction, calculating a phase deviation angle and determining a phase adjustment parameter; performing phase correction on the audio data stream through a digital signal processing module to generate audio signals with consistent phases; detecting tone quality consistency difference among multiple devices, adjusting audio output feature data and optimizing a time window configuration scheme; and dynamically updating the audio channel coordination strategy, and storing correction parameters to a system database.

The invention provides a pulse signal adaptive filtering method and system based on multi-band signal entropy. The method comprises the following steps: receiving a plurality of satellite communication signals of different frequency bands, and extracting a phase offset, an amplitude value and a frequency value; and generating a multi-dimensional feature group of each frequency band, and extracting the signal-to-noise ratio and the frequency variation of the corresponding frequency band from the multi-dimensional feature group. And based on the signal-to-noise ratios and the frequency variations of all the frequency bands, dynamically adjusting filtering parameters through a preset three-stage tuning structure, and filtering to obtain a filtered signal. Transmitting the filtered signal to a federated learning framework, and calculating a multi-band signal entropy value by combining the multi-dimensional feature group; adaptive filtering parameters are optimized based on entropy values, global aggregation is carried out after differential privacy processing, and an aggregation feature graph group is generated; and through a channel and a space attention mechanism, effective information of a high-entropy frequency band is enhanced, noise of a low-entropy frequency band is suppressed, and pulse signal adaptive filtering based on multi-frequency-band signal entropy is completed. According to the technical scheme provided by the invention, the accuracy of adaptive filtering of the pulse signal is improved.

The invention provides a Flash wafer detection method and device based on deep learning, and relates to the technical field of semiconductor detection. The method comprises the following steps: firstly, receiving an initial electric signal response sequence which is acquired by a scanning probe and comprises reflection intensity and phase deviation; performing time-frequency domain joint transformation processing on the sequence to generate a frequency domain energy distribution map and a time domain attenuation characteristic curve; further constructing a three-dimensional space mapping model containing a frequency domain energy amplitude and a time domain attenuation time constant; a pre-trained condition generation network is called to reconstruct the model, and a reconstructed phase image set with the resolution consistent with that of a standard template is generated; and finally, performing pixel-by-pixel comparison on the reconstructed image and a standard template to generate a detection report containing defect space positioning coordinates and a contour boundary sequence. According to the method, deep mining and visual reconstruction of Flash wafer microscopic electric signal features are realized, and the accuracy and the automation degree of defect detection are remarkably improved.

The invention relates to the technical field of industrial automation control, and discloses a distributed collaborative and intelligent master control system for a candy production line, which comprises a master control unit and a plurality of resource nodes which are connected with each other through an industrial field bus supporting a precise clock synchronization protocol, the general control unit generates and broadcasts a virtual main shaft position signal to define a system time sequence progress; each resource node corresponds to a physical execution unit with different physical response hysteresis characteristics, an electronic cam curve table for defining a mapping relation between a control set value and a virtual spindle position signal is stored, the resource nodes are configured with phase lead compensation logic, and a phase offset is superposed before the curve table is inquired, so that the phase lead compensation is realized. According to the method, phase pre-compensation is introduced in a logic instruction level, so that the problem of cooperative mismatch caused by response inertia difference of heterogeneous physical execution units is solved, and accurate alignment and seamless flexible remodeling of multi-section actions in a time domain are realized.

The invention provides a probe frequency response calibration parameter determining method, a probe frequency response calibration parameter measuring system and a storage medium, and the probe frequency response calibration parameter determining method introduces a composite test signal including a steady-state frequency sweep signal and a transient pulse signal. De-embedding calculation is carried out on a data set which is obtained under the two conditions that a probe is not connected to a calibration system and the probe is connected to the calibration system and responds to the same test signal, namely amplitude division is carried out to eliminate link gain deviation, phase subtraction is carried out to strip channel phase deviation, accurate extraction of the independent frequency response characteristic of the probe is achieved, and the accuracy of the independent frequency response characteristic of the probe is improved. Therefore, the frequency response calibration parameter of the probe is determined. According to the invention, system errors introduced by a test environment and a rear-end measurement link are eliminated, the calibration precision of the amplitude-frequency characteristic and the phase-frequency characteristic of the probe in a full working frequency band is improved, and a reliable basis is provided for implementation of accurate real-time anti-distortion compensation in actual signal acquisition of measurement equipment such as an oscilloscope and the like; and the reduction authenticity of the whole measurement system in the high-frequency and broadband signal test is ensured.