547 results about "Pulse waveform" patented technology

The invention relates to the technical field of intelligent operation and maintenance of power equipment, in particular to a cable system full life cycle health management method based on digital twinning, which comprises the following steps: step 1, constructing a cable digital twinning body fusing electric-thermal-mechanical-chemical multi-physical fields; 2, dynamically fusing multi-source monitoring data, and collecting a cable skin continuous temperature sequence, a partial discharge pulse waveform and soil environment parameters; 3, solving a coupling equation of conductivity-thermal conductivity-stress tensor-ion diffusivity through iteration to realize multi-physical field linkage simulation; 4, generating a self-adaptive maintenance decision, inputting the insulation aging factor into an LSTM predictor to output a residual life prediction value, and generating a maintenance work order when the residual life is lower than a threshold value; and 5, carrying out closed-loop correction on the model, and updating the insulation aging factor calculation model and the physical attributes of the three-dimensional grid according to actual maintenance data. The method improves the safety, reliability and operation and maintenance efficiency of the cable system, and has important industrial application prospects.

The invention provides a control method for optimizing operation of high-power short-pulse microwave equipment, and aims to improve the accuracy of microwave interference signals, the energy utilization efficiency and the system adaptability. The method comprises the following steps: firstly, acquiring position information, motion trail data, electromagnetic scattering characteristics and environmental electromagnetic parameters of a target object; and then, according to the target position prediction data, the electromagnetic scattering characteristics and the environmental electromagnetic parameters, generating a microwave pulse waveform control instruction. And controlling the phased-array antenna array to generate a directional microwave beam based on the control instruction and the target position prediction data. And collecting real-time response data of the target, dynamically updating the target motion trend prediction model according to the real-time response data, and recalculating microwave pulse signal parameters. And finally, according to the updated signal parameters and the target position prediction data, adjusting the transmitting power, the working time sequence and the beam direction of the phased-array antenna array so as to maintain the optimal interference effect, reduce unnecessary energy consumption and improve the stability and adaptability of the system.

The invention provides a traditional Chinese medicine physique dynamic change identification system. The system comprises a data acquisition module, a feature extraction module, a deep learning analysis module, a physique analysis and prediction module and a diagnosis report generation module. The data acquisition module is used for acquiring tongue image video streams, pulse condition waveforms and body surface infrared thermal imaging data and recording environment temperature and humidity, user behavior logs and medication information. The feature extraction module is used for extracting various feature data. And inputting the multi-dimensional data set into a deep learning analysis module, and calculating the transformation relation probability of the traditional Chinese medicine constitution types. The physique analysis and prediction module judges the current physique type based on the probability data and predicts the physique evolution trend in combination with historical data, and finally the diagnosis report generation module outputs a diagnosis report containing physique evolution analysis and conditioning suggestions. According to the method, multi-dimensional physiological, environment and behavior data can be integrated, dynamic identification of traditional Chinese medicine physique is realized, the accuracy of physique analysis is improved, and a personalized health management scheme is provided.

The invention relates to the technical field of computer systems based on specific calculation models, and discloses a blood oxygen change monitoring algorithm fused with dynamic Bayesian modeling, which comprises the following steps: quantizing signal uncertainty by calculating entropy of pulse waveform harmonic energy distribution; and on the basis of the entropy value, driving a dynamic Bayesian network to carry out confidence coefficient evaluation and weighting processing on the blood oxygen estimation model, and finally outputting a decision pair containing a blood oxygen estimation value and the confidence coefficient thereof. According to the method, the signal uncertainty is converted into a computable entropy index, so that the system can autonomously distinguish real physiological changes and measurement noise, the problem of misjudgment caused by motion interference in traditional blood oxygen monitoring is avoided, meanwhile, non-inductive personalized calibration is achieved by utilizing the continuous learning ability of the Bayesian network, and the accuracy of the system is improved. And the reliability and the practicability of the medical wearable equipment are remarkably improved.

The invention relates to the technical field of electronic packaging, in particular to a welding process applied to a double-mesa device. The technology comprises the following steps that firstly, a heat conduction model of a double-table-board device is built, a temperature field prediction system is built in combination with measured data, secondly, an asymmetric double-pulse-current welding strategy is adopted, differential pulse waveforms are loaded to an upper table board and a lower table board respectively, independent temperature control over all welding areas is achieved, a temperature difference closed-loop feedback mechanism is introduced in the process, and the temperature field prediction system is obtained. Pulse parameters are dynamically adjusted according to real-time temperature deviation, a stress prediction and weld penetration monitoring module is used for assistance, the welding spot forming quality and heat stress balanced release are ensured, a staged annealing type cooling mode is adopted after welding, and the structural stability is improved. The method can be widely applied to MEMS modules, SiC power devices and heterogeneous chip laminated packaging double-mesa structure devices, and has the advantages of being high in welding precision, high in reliability and wide in process adaptability.

The invention relates to a GIS partial discharge digital twinborn identification method based on a simulation fault database and a storage medium. The problems that in the prior art, due to the fact that GIS partial discharge signal features have large randomness, the accuracy and precision of algorithm recognition and positioning are not high, meanwhile, manpower and material resources are high in cost, complex operation conditions are difficult to simulate, and the defect type coverage range is not wide are solved, and the adopted technical scheme is that a GIS three-dimensional geometric model is constructed based on a GIS true model; setting a digital discharge source in the GIS three-dimensional geometric model, discharging through the digital discharge source, obtaining UHF signals in batches, and extracting time domain pulse waveform characteristic parameters in the UHF signals; constructing a simulation fault database based on the time domain pulse waveform characteristic parameters; constructing a fault inversion network based on the simulation fault database; recognizing and positioning a fault through a fault inversion network; based on the GIS partial discharge digital twinborn model, a fault identification result and a positioning process are arranged on the GIS partial discharge digital twinborn model, and fault diagnosis and fault location positioning can be accurately and visually carried out.

The invention relates to the technical field of substation operation and maintenance, particularly provides a substation partial discharge detection method and system, and aims to improve the precision of partial discharge detection and the intelligent level of equipment insulation state assessment. The partial discharge signal data set comprises a plurality of monitoring signal sequences composed of discharge pulse waveforms, then performing feature extraction on the partial discharge signal data set, generating a time domain and frequency domain feature set of each monitoring signal sequence to comprehensively reflect the intrinsic characteristics of the discharge signals, and then utilizing a preset discharge mode analysis model to analyze the partial discharge signals. And performing discharge mode analysis on the time domain and frequency domain feature set, accurately identifying discharge types, and finally, generating an equipment insulation state evaluation strategy according to a discharge type classification result, and transmitting the equipment insulation state evaluation strategy to a substation monitoring system in real time to trigger early warning operation, thereby effectively ensuring safe and stable operation of a power system.

The invention relates to the technical field of integrated circuit manufacturing, in particular to a precise electroplating control system and method for an electroplated layer of a double-layer circuit board, and the method comprises the steps: building a multi-physical field coupling simulation model, and simulating the internal current density and ion concentration distribution of a via hole; constructing a mapping relation between the current density and the side wall electroplating thickness based on a simulation result, and predicting the electroplating thickness; through thickness prediction feedback, a time sequence adjustable pulse current control strategy is designed, the pulse amplitude, the duty ratio and the on-off period are dynamically adjusted, and current distribution optimization is guided; the state of the electroplating process is sensed in combination with real-time monitoring and analysis of multi-source parameters of electrode potential, conductivity and fluid velocity; and based on the prediction model and the real-time parameters, adjusting the pulse waveform and the time sequence through closed-loop compensation. According to the method, the uniformity and controllability of the thickness of the electroplated layer on the side wall of the via hole can be remarkably improved.

The invention discloses a control method and system of an automatic dispenser, and relates to the technical field of automatic control, and the control method comprises the following steps: collecting and preprocessing a dielectric loss factor and a temperature change rate of glue, calculating the dynamic viscosity, the shear temperature rise and the phase change rate of the glue through a time-frequency conjoint analysis method, and generating a phase change parameter matrix; inputting the phase change parameter matrix into a soliton kinetic model, obtaining a soliton waveform of the colloid under a nonlinear effect and a dissipation effect, optimizing the soliton waveform in combination with real-time viscosity, generating a pulse parameter and a dispersion compensation coefficient, and forming a soliton driving instruction set; loading the soliton driving instruction set to an FPGA (Field Programmable Gate Array) controller of the electric valve, generating a high-voltage pulse waveform, executing high-precision dispensing, monitoring a jet waveform and carrying out dynamic calibration; according to the method, the waveform is optimized through the soliton kinetic model and the step-by-step Fourier method, and accurate balance between the colloid dissipation effect and the nonlinear effect is achieved.

The invention provides a blade lightning protection channel online test method and system based on a pulse current method, and belongs to the technical field of blade lightning protection detection.The method comprises the steps that a pulse waveform is generated through a pulse current generator to simulate lightning impulse, and the lightning impulse is injected into the surface of a lightning arrester of a blade lightning protection system; measuring channel currents at different positions of the surface of the lightning arrester in the length direction by using a distributed sensor; a high-voltage differential probe is used for collecting and measuring the waveform of an incident wave and the waveform of a reflected wave of an injection point; detecting blade surface potential distribution by using a capacitive coupling sensor; comparing the waveform of the incident wave, the waveform of the reflected wave and the theoretical waveform, determining a time domain reflection coefficient and a frequency domain impedance spectrum, and determining a fault type; after the fault type is determined, the fault point is positioned based on the channel current and the blade surface potential distribution, the lightning impulse is simulated through the pulse waveform, the lightning protection channel is further tested, shutdown is not needed, the testing efficiency of the blade lightning protection channel is effectively improved, and the power generation efficiency is ensured.

The invention relates to the technical field of vacuum induction heating temperature control, and discloses a vacuum induction heating temperature closed-loop control system integrated with SCADA (supervisory control and data acquisition), which is characterized in that a functional material layer with preset Curie temperature is compounded on the surface of an induction coil, and the absolute value of phase difference is analyzed by collecting voltage and current signals of the coil in real time; according to the invention, through the synergistic effect of the electromagnetic impedance sudden change characteristic of the functional material layer and the phase difference detection mechanism, non-contact accurate control of the phase change critical temperature of the workpiece is realized; and meanwhile, due to the coupling application of the asymmetric micro-pulse waveform design and the dynamic adjustment strategy, the contradiction between thermodynamic response and electromagnetic interference in a vacuum environment is effectively balanced, and the control precision and stability of the system are remarkably improved.

The invention discloses an electricity utilization information acquisition device of an electric energy meter metering pulse simulation system, and relates to the technical field of monitoring analysis, and the method comprises the steps: carrying out the ripple disturbance simulation of an initial pulse characteristic data set, and generating an interference pulse waveform matrix; performing multi-source interference signal separation processing on the waveform matrix with the interference pulses, constructing a three-dimensional clock error compensation network, generating a clock synchronization calibration pulse set, and extracting dynamic characteristic parameters corresponding to the clock synchronization calibration pulse set; performing multi-modal data fusion processing on the dynamic characteristic parameters to form compressed pulse characteristic data; establishing a simulation load feature matching model, outputting a simulation load adaptation parameter group, and converting the simulation load adaptation parameter group into a wireless transmission data frame; and carrying out transmission protocol self-adaptive packaging on the wireless transmission data frame, dynamically adjusting a data packaging strategy based on a channel quality evaluation index, and executing remote power utilization information acquisition and transmission. The method has the effect of improving the power utilization information acquisition efficiency.

Systems, devices, and methods described herein relate to generation and delivery of pulsed waveforms, e.g., for therapy delivery in soft tissue ablation procedures. In some embodiments, a pulse generator is configured to generate a voltage pulse train including a plurality of biphasic pulses, each biphasic pulse of the plurality of biphasic pulses including a positive pulse, a negative pulse, and an inter-phase delay separating the positive pulse and the negative pulse. In some embodiments, successive biphasic pulses of the plurality of biphasic pulses can be separated by a pulse-to-pulse delay such that the plurality of biphasic pulses is separated by a plurality of pulse-to-pulse delays, and the plurality of pulse-to-pulse delays can include increasing or decreasing sequences of pulse-to-pulse delays.

The invention discloses a live detection method for insulation defects of high-voltage power equipment. The method comprises the following steps: firstly, synchronously arranging ultrahigh frequency sensors and acoustic emission sensors on a plurality of monitoring points on the surface of a gas insulated switchgear shell to form an array, and synchronously acquiring signals for filtering pretreatment; then, pulse events are extracted from the two types of signals respectively, and associated pulses in a time window are matched into matched pulse pairs representing the same discharge source; then, carrying out time-frequency transformation on the ultrahigh frequency and acoustic emission pulse waveform in each matched pulse pair, carrying out joint noise reduction by calculating a coherence coefficient between time-frequency distribution matrixes, and extracting a joint feature vector containing an energy ratio, a time parameter ratio and a frequency difference from the denoised time-frequency matrix; according to the invention, multi-source signals are fused, and high-sensitivity detection, high-precision positioning and high-accuracy identification of insulation defects are realized.

This disclosure describes a non-dissipative snubber circuit configured to boost a voltage applied to a load after the load's impedance rises rapidly. The voltage boost can thereby cause more rapid current ramping after a decrease in power delivery to the load which results from the load impedance rise. In particular, the snubber can comprise a combination of a capacitive element, two inductive elements, and three switches, where a duty cycle of two of the three switches controls the voltage boost. The snubber can be arranged between a DC power supply and a switching circuit configured to generate a pulsed waveform for provision to the load.

The invention relates to the technical field of electromagnetic measurement, and discloses a line partial discharge positioning method and system based on pulse signal analysis, and the method comprises the steps: carrying out the band-pass filtering of pulse signal data, and obtaining a preprocessing signal; constructing a waveform template library based on the historical partial discharge pulse waveform data; screening out a partial discharge pulse and an interference pulse in the preprocessed signal to obtain a pulse matching result of the preprocessed signal; determining time difference data of the preprocessed signal according to time differences of pulses reaching different sensors in the pulse matching result; constructing an initial propagation velocity model according to the parameters and the environment data, performing iterative optimization on the initial propagation velocity model according to the time difference data, and determining an initial position of a partial discharge source in the line; correcting the initial propagation velocity model according to the initial position and the actual propagation path to obtain a target propagation model, and determining position coordinates of a partial discharge source in the target line according to the target propagation model; according to the invention, the accuracy of line partial discharge positioning can be improved.

The invention relates to the technical field of CLYC neutron-gamma rays, and provides a CLYC neutron-gamma ray screening detection method and device based on deep learning, and the method comprises the steps: carrying out the preprocessing of an original pulse waveform outputted by a CLYC detector, and obtaining clean standard waveform data; constructing a one-dimensional convolutional neural network model, respectively capturing the features of the waveform at different time scales, and identifying the most discriminative feature region in the waveform through an attention mechanism; performing adaptive adjustment on the original hyper-parameter of the one-dimensional convolutional neural network model to obtain an optimized hyper-parameter; establishing a direct mapping relation from an original pulse waveform to a neutron-gamma particle type to obtain a trained model; and carrying out compression optimization processing on the model, and deploying the model to an embedded platform to carry out neutron-gamma ray discrimination. According to the method, automatic extraction of deep discrimination features of the CLYC pulse waveform and accurate identification of key feature areas are realized, and the discrimination accuracy and noise interference resistance of neutron-gamma rays are improved.

The utility model provides an open-loop controlled multifunctional hydraulic pulse test bench, which comprises a storage oil tank, an oil supply pump machine, a reversing valve, a pressurizing oil cylinder and an oil supplementing overflow valve, according to the test bed, a large amount of oil flows into a system at the moment that an oil way is opened by a reversing valve, and due to the fact that an overflow valve has a lag phenomenon in response, oil pressure instantaneously generates an overshoot peak value, pressure in a pipeline rapidly rises and a pressure peak appears, then the overflow valve is conducted, the oil is guided out along the overflow valve, and the pressure in the system is reduced to the set pressure of the overflow valve; water hammer waves and rectangular waves of various waveforms and frequency bands can be generated by adjusting the diameter of a variable damping hole of the one-way throttle valve and the rotating speed of the motor, so that the hydraulic pulse test bed can form hydraulic pulse waveforms of various waveforms and frequency bands; the set pressure of the overflow valve is increased, meanwhile, the travel switch loses efficacy, and when the reversing valve is located at the right position all the time, a damage test can be conducted on the hydraulic pipeline to measure the maximum pressure value capable of being borne by a tested piece.

Systems, devices, and methods described herein relate to generation and delivery of pulsed waveforms, e.g., for therapy delivery in soft tissue ablation procedures. In some embodiments, a pulse generator is configured to generate a voltage pulse train including a plurality of biphasic pulses, each biphasic pulse of the plurality of biphasic pulses including a positive pulse, a negative pulse, and an inter-phase delay separating the positive pulse and the negative pulse. In some embodiments, successive biphasic pulses of the plurality of biphasic pulses can be separated by a pulse-to-pulse delay such that the plurality of biphasic pulses is separated by a plurality of pulse-to-pulse delays, and the plurality of pulse-to-pulse delays can include increasing or decreasing sequences of pulse-to-pulse delays.

The invention provides a signal processing method and system for a long-distance follow-up laser seeker, and belongs to the technical field of signal processing. Target surface center coordinates, a light spot image sequence and a synchronous echo pulse waveform sequence of the seeker are obtained; the speckle energy entropy and the centroid drift distance are obtained by calculating the information entropy and the centroid displacement of the target light spot image, and the pulse width parameter is extracted from the echo waveform. And constructing the three parameters into a laser feature vector, and inputting the laser feature vector into a pre-trained reflecting surface classification model so as to identify the surface material type of a laser irradiation point in real time. And determining a group of optimal follow-up control gain sets from the material gain mapping relation according to the surface material type, and dynamically reconstructing a follow-up control loop by using the optimal follow-up control gain sets. And the sight angle error of the light spot mass center and the target center is calculated, and the adjusted control loop is used for calculating the error to generate an accurate driving instruction signal, so that the tracking stability and the tracking precision of the target are improved.

The invention provides an electromagnetic interference motor-driven frequency converter control method and system and a medium, and relates to the field of motor control, and the method comprises the steps: collecting an electromagnetic interference signal in real time during the operation of a motor-driven frequency converter, generating interference spectrum data, carrying out the dynamic switching adjustment of the frequency converter, and generating an anti-interference modulation instruction; reconstructing a pulse waveform according to the anti-interference modulation instruction to carry out harmonic compensation, carrying out feedback verification based on the optimized driving signal, carrying out electromagnetic interference judgment according to a motor torque fluctuation value, and generating a judgment result; and triggering a parameter updating instruction based on the judgment result, and driving a frequency converter to perform adaptive control through the parameter updating instruction to generate a frequency conversion control result. The technical problem that a frequency converter control method in the prior art is limited in resistance to electromagnetic interference and affects the running stability of a motor is solved. The technical effects of improving the electromagnetic interference suppression capability and ensuring the stable and reliable operation of the motor are achieved.

A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

The invention discloses a thoracic surgery postoperative complication assessment method and system based on multi-dimensional analysis, and relates to the technical field of thoracic surgery postoperative complication. Key sign signals such as heart rate fluctuation amplitude Cxv, respiratory rhythm drift coefficient Chx, pulse waveform disturbance degree Cmd and epidermal temperature change rate Cbt of a postoperative patient are continuously collected and denoised through a postoperative sign data acquisition module, and a structured sign data set TW is formed. By means of the method, tiny physiological fluctuation of a postoperative patient within 24 hours can be captured, early risk signals are prevented from being neglected, and the time sensitivity of complication recognition is improved from the source. A dynamic sliding window regression technology is introduced to carry out trend modeling on the sign data, so that a miniature instability section can be accurately extracted; through the improvement, the system can capture precursor signals of potential infection and bleeding earlier, and the possibility of early intervention is improved.

A device may include a first electrode configured to be worn on the skin of a living body at a first location. A device may include a second electrode configured to be worn on the skin of the living body at a second location. A device may include a controller configured to transmit, to the living body via the first electrode and the second electrode, a pulse waveform that includes a plurality of pulses in sequence, wherein: frequencies of the plurality of pulses are modulated based on a Brownian noise distribution, and amplitudes of the plurality of pulses are modulated in accordance with a sinusoidal pattern.

Blood flow information is extracted from speckle information of a time series of structural optical coherence tomography (OCT) images. Flow information can be determined from high-frequency information of the OCT images, a speckle density of the OCT images, from a co-occurrence matrix applied to the OCT image, from a machine learning analysis of an input OCT image, or the like. A flow profile analogous to a pulse waveform is then generated as a time series of the extracted flow information.

The invention relates to the technical field of substrate material surface plating, in particular to a method for electrochemical plating of a perovskite thin film through an ionic electrolyte, and the method comprises the following steps: S1, preparing the ionic electrolyte containing a double-complexing agent system and a two-dimensional nano filler; s2, the ion electrolyte and the substrate are placed in a rotating magnetic field for a pulse electrodeposition process, and ultrasonic waves are applied to the bottom of the rotating magnetic field; s3, adopting an asymmetric third-order pulse waveform in the pulse electrodeposition process; s4, in the pulse electrodeposition process, synchronizing terahertz time-domain spectroscopy and confocal Raman imaging to monitor grain boundary defects of the deposition layer; and S5, entering an annealing stage after the process is ended, and introducing pyrrolidone steam to form a C-N bond passivation layer. According to the method, the ion electrolyte containing the specific double complexing agent system and the two-dimensional nano filler is accurately prepared, so that the uniformity and efficiency of the plating process are improved, and the stability of the ion electrolyte is ensured.

Systems, devices, and methods described herein relate to generation and delivery of pulsed waveforms, e.g., for therapy delivery in soft tissue ablation procedures. In some embodiments, a pulse generator is configured to generate a voltage pulse train including a plurality of biphasic pulses, each biphasic pulse of the plurality of biphasic pulses including a positive pulse, a negative pulse, and an inter-phase delay separating the positive pulse and the negative pulse. In some embodiments, successive biphasic pulses of the plurality of biphasic pulses can be separated by a pulse-to-pulse delay such that the plurality of biphasic pulses is separated by a plurality of pulse-to-pulse delays, and the plurality of pulse-to-pulse delays can include increasing or decreasing sequences of pulse-to-pulse delays.

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 discloses a cradle head dynamic control method and device, and the method comprises the steps: obtaining a two-dimensional pixel coordinate of a target object on a display plane, converting the two-dimensional pixel coordinate into a physical space coordinate through a coordinate conversion algorithm, and obtaining the pixel offset of the target object relative to the center of a cradle head; based on the pixel offset and the pixel density parameter, performing angle calculation by using a trigonometric function calculation module to obtain rotation angle parameters required by the horizontal axis and the vertical axis of the holder; pWM control signal conversion is carried out on the rotation angle parameter, a corresponding number of pulse waveforms are generated through a stepping motor driving module, and a holder double-shaft motor is controlled to rotate; and based on the deviation value between the current position of the holder and the target angle, real-time error correction is performed by adopting a PID control algorithm, so that the holder tracks the target object in real time and keeps pointing to the position of the target object. Through the solid geometry correction technology, the problems of precise positioning and dynamic tracking of a traditional pan-tilt control system in a complex scene are solved, and the precision and stability of pan-tilt control are improved.

The invention provides a laser feedback adjusting method and system based on pulse waveform monitoring, and the system comprises a beam splitter and a detector which are disposed in a laser, the beam splitter splits the laser outputted by the laser into a main output light beam and a monitoring light beam, and the detector carries out the photoelectric conversion of the monitoring light beam to obtain a monitoring electric signal; the positive end of the comparator is connected with a monitoring electric signal, and the negative end of the comparator is connected with a periodically circulating reference voltage threshold signal so as to output a digital waveform signal containing pulse width modulation information; the FPGA processing unit calculates a waveform reconstruction parameter in real time according to the digital waveform signal based on a TDC digital time conversion technology, and generates a reconstructed waveform; the digital signal processor performs deviation analysis on the reconstructed waveform and the target waveform to obtain a deviation analysis result; and the FPGA processing unit generates a feedback control quantity according to the deviation analysis result so as to adjust the laser based on the feedback control quantity in the next feedback period to realize accurate tracking of the output waveform of the laser on the target waveform.