111 results about "Pulse parameter" patented technology

The invention provides a double-pulse high-frequency switching power supply control method and system for precise electroplating, and relates to the field of electroplating, and the method comprises the steps: collecting area surface data through a three-dimensional scanner, and obtaining a three-dimensional model; extracting a high-curvature area grid according to the three-dimensional model, and calculating to obtain a surface concave-convex degree index; performing current field simulation, and calculating current density vector distribution; when the deviation of the current density vector distribution exceeds a preset deviation threshold value, pulse parameters are optimized through a genetic algorithm; selecting a pulse parameter which is most matched with the surface concave-convex degree index, and carrying out iterative calculation to obtain updated current density vector distribution; based on the difference between the updated current density vector distribution and the initial distribution, predicting a coating thickness value, and determining a preliminary evaluation index; and optimizing pulse parameters to obtain a final control scheme of uniform current distribution. According to the method, pulse parameters can be dynamically optimized according to the geometrical shape of the workpiece, and uniform current distribution and stable plating quality are realized.

The invention discloses a direct current B code wave recording alarm analysis device and method based on an FPGA, and relates to the technical field of power system automation and signal analysis, and the device comprises an FPGA collection module which is used for collecting a TTL level signal of a direct current B code in real time at a preset sampling frequency, recording a high-precision timestamp of each sampling point, and carrying out the subsequent pulse parameter calculation; the pulse width measurement module is connected with the FPGA acquisition module, is used for calculating the pulse width of the current pulse based on the rising edge timestamp and the falling edge timestamp of the signal, triggering a wave recording module, and is used for starting wave recording operation when the pulse width is detected to exceed a preset threshold range or abnormity occurs for a plurality of times continuously; collecting complete waveform data before and after the fault; the DC B code wave recording alarm analysis device and method based on the FPGA improve the intelligent level, response speed and fault visualization capability of a B code monitoring system, and are especially suitable for high-reliability monitoring and management scenes of key synchronization signals in a DC system.

The invention provides a wake flow redirection control method and system based on cabin type laser radar prediction, and relates to the technical field of laser radar remote sensing detection, and the method comprises the steps: obtaining first wake flow propagation path data of a target unit at different spatial positions and first wake flow speed data of different time points through a cabin type laser radar; performing correlation analysis on the first wake flow propagation path data, the first wake flow speed data and a preset unit wake flow speed attenuation coefficient to obtain a correlation analysis result; obtaining a wake flow prediction result based on the first wake flow propagation path data and the correlation analysis result; obtaining wake flow redirection control demand data based on a preset wake flow control target and the calibrated first wake flow speed data; converting the pulse parameter into a pulse control signal based on wake flow redirection control demand data; based on the pulse control signal, accurate redirection control over the wake flow of the wind turbine generator is achieved, cross interference of the wake flow is reduced, and the overall power generation efficiency of a wind power plant is improved.

The invention discloses an energy storage black-start load identification method based on dynamic response and related equipment, and aims to solve the technical problem of high secondary collapse risk of a system caused by blind closing and power transmission of an unknown load in an energy storage black-start process in the prior art. According to the method, before formal switching-on power transmission, customized safety test pulses are generated through a pulse parameter model according to physical parameters of a power line, and dynamic response signals of loads are collected and analyzed, so that prospective recognition of the health states of the loads is achieved. According to the method, the load recovery in the energy storage black start is changed from blind closing to a controllable process of first diagnosis and then power transmission, so that the risk of secondary collapse of the system due to fault load access is fundamentally reduced.

The invention belongs to the technical field of machining and intelligent manufacturing, and particularly relates to an intelligent regulation and control system and method for discharge energy of a spark machine. Comprising a multi-mode gap state sensing module, a high-throughput data synchronous acquisition and preprocessing module, a discharge pulse real-time classification and feature extraction module, an LSTM-based gap state trajectory prediction module, a multi-target model prediction control module and a high-frequency pulse power supply execution module. By fusing the electrical parameters and the in-situ optical turbidity signal, multi-dimensional perception of the discharge state is realized, the future discharge trend is predicted by using an LSTM network, and an optimal pulse parameter combination is solved online by combining an MPC controller. By the adoption of the technical scheme, dynamic optimal balance of the material corrosion rate, the surface quality and the stability in the machining process can be achieved, and the overall machining benefit is improved.

The invention discloses a rail transit charging and discharging service life prolonging method based on an energy storage system health state attenuation model, and belongs to the technical field of rail transit energy management. The method comprises the following steps: acquiring data through a multi-dimensional sensor to construct a coupling tensor, extracting a main coupling singular value sequence, and establishing an advanced prediction model of an instantaneous attenuation rate and a system health state; dynamically setting a target threshold value based on a real-time monitoring result, and solving an optimal charging and discharging parameter boundary in the digital twin through double-engine simulation optimization; adopting the Pontryagin minimum principle to generate a reverse reference trajectory meeting the life constraint; and finally, quantizing the track into a pulse sequence, introducing power grid fluctuation and health attenuation rate as adjusting variables, and executing after dynamically adjusting pulse parameters through a fuzzy rule. Advanced sensing of the health state of the energy storage system and accurate optimization control of the charging and discharging process are achieved, and the service life of the system is remarkably prolonged.

The embodiment of the application provides a parameter inversion method, device and electronic equipment, wherein the parameter inversion method comprises: performing interference suppression on a received incomplete SAR signal to obtain a non-interference signal matrix; wherein the non-interference signal matrix comprises a plurality of non-interference pulse signals with time sequence continuity, and the incomplete SAR signal represents that the SAR signal is incomplete; sequentially performing data processing on each non-interference pulse signal to obtain pulse parameters of each non-interference pulse signal; the pulse parameters at least comprise a stationary phase center position, a termination point, a pulse bandwidth, a pulse signal frequency modulation rate and a peak position; based on the pulse parameters of each non-interference pulse signal, signal parameters of the incomplete SAR signal are inverted to obtain transmission parameters of the incomplete SAR signal; the signal parameters at least comprise a pulse width, a bandwidth, a frequency modulation rate, a pulse repetition interval and a pulse repetition frequency.

Embodiments of the present application provide a duodenum-based electric field ablation method, system and device, the method comprising: in the case of determining a target tissue corresponding to a target object, determining the narrow pulse parameters required by the target tissue; wherein the target tissue is the position of the target object's duodenum that needs to be subjected to pulse electric field ablation; determining the state information of the main control system; detecting the state information, and in the case that the state information meets the preset condition, generating a first pulse and a second pulse based on the narrow pulse parameters through the driving of the H-bridge circuit; wherein the preset condition is that the state information of the main control system meets the preset state; performing phase shift control processing based on the first pulse and the second pulse to determine the narrow pulse corresponding to the narrow pulse parameters; and achieving electric field ablation of the target tissue through multiple electrodes based on the narrow pulse. In the above scheme, the stability of the output of the narrow pulse is improved, thereby improving the electric field ablation effect on the duodenum.

The invention provides an intermediate frequency signal processing unit for generating a radio frequency characteristic simulation decoy signal, which belongs to the field of radar signal processing, and comprises a signal receiving and parameter measuring module for completing orthogonal frequency mixing, detection, DDC and extraction on a target radar signal, pulse time domain parameter measurement, frequency measurement and intra-pulse parameter measurement are carried out on the signals to obtain detection signals, PDW information and frequency information; the matching tracking module is used for filtering irrelevant pulses in a signal environment according to the detection signals, the PDW information and tracking parameters, and performing frequency matching and PRI tracking on the received detection signals; the time sequence control module is used for generating time sequence control parameters and time sequence control signals according to the working parameters, the detection signals and the tracking gate; the signal storing and playing module is used for storing and playing the target radar signal according to the time sequence control signal; and the decoy interference generation module is used for generating a decoy interference signal according to the target radar signal, the frequency information and the time sequence control parameter.

The application discloses a kind of pulse diagnosis data real-time analysis processing method and system, it is related to pulse diagnosis data analysis technical field, the method includes: through intelligent wearable device, the blood vessel sensing signal of user is collected, and photoelectric pulse parameter sequence is obtained by processing;The photoelectric pulse parameter sequence is divided, and user tension rate identification processing is carried out, obtain multiple user tension rates;According to the multiple user tension rates, configure multiple anomaly identification layers, adopt multiple anomaly identification trees, carry out anomaly data identification to the photoelectric pulse parameter sequence, obtain multiple anomaly data sets;According to the multiple anomaly data sets, fusion obtains abnormal photoelectric pulse parameter, from the photoelectric pulse parameter sequence is deleted, and carries out pulse diagnosis data analysis.The present application solves the technical problem that the pulse diagnosis data recognition analysis is not accurate in the prior art.

The invention provides an electric spark discharge machining machine control method and system based on industrial data processing, and relates to the technical field of industrial data processing.The method comprises the steps that in the movement process of an electric spark machining machine, working conditions are captured, and high-frequency real-time sensing data flow is output; receiving a high-frequency real-time sensing data stream through a redundant dual-channel RS485 bus, and synchronously calling a processing position time sequence slice; isomorphic processing scene matching is carried out to obtain a historical control parameter sequence; outputting a multi-modal real-time working condition feature tensor; carrying out discharge parameter increment prediction, and outputting an updated pulse parameter adjustment vector; sending the parameters to a PLC (Programmable Logic Controller) to drive a discharge module of the processing machine to execute smooth parameter adjustment transition; and iteratively executing closed-loop prediction parameter adjustment. The technical problems that in the prior art, an electric spark machining machine often depends on manual adjustment and experience to select discharge parameters, so that the precision and consistency of the machining process are difficult to guarantee, the debugging period is long, and the production efficiency is low are solved.

The application discloses a kind of guided path planning method and system.Method includes following steps:S1.MRI image and ultrasound image are obtained, multi-modal image registration and segmentation are carried out, and MRI image and ultrasound image are fused.S2.real-time modeling of electric field distribution, based on dynamic conductivity model and finite element method, the electric field intensity distribution of cartilage and surrounding tissue after electrode applied pulse is calculated in real time, to provide input for subsequent pulse parameter optimization and path planning.S3.pulse parameter adaptive optimization, through model predictive control algorithm, real-time adjustment pulse voltage and pulse width, so that the electric field intensity of ablation area accurately covers target cartilage, while protecting blood vessel / nerve sensitive area from damage.S4.restrained path search is carried out, and guided path planning is realized.

This invention discloses a dynamic response-based load identification method and related equipment for energy storage black start, overcoming the high risk of secondary system collapse caused by blindly closing the circuit to unknown loads during the energy storage black start process. This method generates customized safety test pulses based on the power line physical parameters using a pulse parameter model before formally closing the circuit to power, and collects and analyzes the dynamic response signals of the load to achieve proactive identification of the load's health status. This invention transforms load recovery during energy storage black start from blind closing to a controllable process of diagnosis before power supply, fundamentally reducing the risk of secondary system collapse due to faulty load access.

This application provides a key parameter testing system and method for fiber-optic single-photon avalanche diodes (SPADs). The system uses a testing module to drive multiple SPADs under test, generates laser trigger signals based on parameter testing requests, and acquires pulse parameters for each SPAD under test under different testing modes with and without light source illumination. A laser generation module generates an initial pulse signal based on the laser trigger signal; a laser adjustment and transmission module adjusts the light attenuation value of the initial pulse laser and separates it into multiple test light sources with equal laser power; a control module monitors the laser power of the laser generation module and configures the laser adjustment parameters of the laser adjustment and transmission module; and the system determines the key parameters of each SPAD under test based on the pulse parameters. The system provided in this application can quickly detect the key parameters of multiple SPADs while ensuring detection accuracy, and the parameter testing process is simple and intuitive.

The application discloses an antenna over-temperature automatic protection method and system and a storage medium, and belongs to the technical field of antennas. The method comprises the following steps: in the initialization stage, hardware connection and parameter configuration are performed; in the temperature data acquisition and monitoring stage, original temperature data are read and a pulse reduction protection strategy is executed according to an over-temperature threshold; in the pulse reduction protection strategy making stage, the pulse reduction protection strategy is made according to the degree that the temperature monitored in real time exceeds the over-temperature threshold; in the pulse control and adjustment stage, the feedback signal of the pulse control circuit is continuously monitored to perform consistency checking, and the updated pulse parameters are recorded into a software log; in the state recovery stage, temperature fall-back monitoring is performed, and pulse parameter recovery is performed; in the log recording and alarm stage, the working data of the antenna are recorded, and an alarm mechanism is triggered when the pulse reduction protection strategy is executed. The application can prevent the permanent damage of the antenna hardware caused by overheating, and at the same time, the partial usability of the antenna function is maintained as much as possible.

This invention discloses an integrated structure and method for a time-domain pulse source and antenna, belonging to the field of radar and radio frequency technology. It includes a housing containing a circuit board with an integrated pulse generation module and a matching optimization module. An antenna radiation module is also housed within the housing and connected to the radio frequency output terminal on the circuit board via an extremely short radio frequency feed structure. The matching optimization module acquires the excitation waveform from the pulse generation module and the radiation waveform from the antenna radiation module, and adjusts the pulse parameters of the pulse generation module or the structural parameters of the antenna radiation module to achieve integrated matching of the pulse source and antenna. This integrated structure and method for a time-domain pulse source and antenna solves the problem of decreased detection accuracy caused by signal tailing in ultra-wideband time-domain radar systems through joint optimization design of the pulse source and antenna, and is suitable for high-resolution, high-real-time anti-UAV detection and identification systems.

The invention discloses a composite modulation signal blind identification method based on time-frequency analysis, which comprises the following steps of: firstly, judging and classifying input pulse signals, and then respectively carrying out identification and parameter estimation on determined signal types. According to the scheme, down-conversion analysis processing, signal time-frequency analysis processing and signal classification identification decision processing are firstly carried out on AD sampling intermediate frequency data sent by a digital signal processing board FPGA to obtain an identification result of a radar signal intra-pulse modulation type, and then corresponding parameter estimation is carried out according to the radar signal intra-pulse modulation type. According to two composite modulation styles of frequency coding and linear frequency modulation combination and frequency coding and two-phase coding combination, on the basis of time-frequency parameter characteristics of various composite modulations, related characteristic parameters are accurately extracted, a modulation type identification process is constructed, and time-frequency analysis is performed on radar signals through fast Fourier transform and phase correlation, so that the identification accuracy of the radar signals is improved. And furthermore, intra-pulse parameter estimation is accurately carried out on the radar signal.

The invention discloses an intelligent pulse parameter detection method and system based on deep learning, and the method is used for the automatic analysis of the time-frequency data of a transient astronomical signal, and comprises the steps: S1, an imaging stage: carrying out the physical correction of original FRB signal data observed by a radio telescope, converting the original format of the signal data into a standardized time-frequency graph matrix two-dimensional image; s2, a detection stage: inputting the time-frequency graph into a deep learning model; the deep learning model automatically locates a time-frequency region where an FRB pulse signal is located in background noise through a signal discrimination branch by using the feature extraction capability of the deep learning model; and S3, a regression stage: after the signal area is successfully positioned, the network directly regresses various attributes of the target through two branches, so that predicted values of various pulse parameters of the FRB signal are obtained. According to the method, extraction of a plurality of parameters is integrated into one end-to-end deep learning model, so that the data processing speed is greatly improved, and the processing flow is simplified.

The application discloses a shrinkage mark inhibition method and system of an integrated die casting, and relates to the technical field of die casting. The method comprises the following steps: collecting position information of a solidification front to determine first state information; collecting vibration signals of shrinkage stress waves to reconstruct a shrinkage wave field distribution map as second state information; fusing the first state information and the second state information to generate a shrinkage mark probability cloud map of the whole solidification process; if the shrinkage mark probability cloud map does not satisfy a shrinkage mark probability threshold, activating a shrinkage mark inhibition module, executing compensation wave parameter decision through a first decision layer, executing local shrinkage compensation pressure pulse parameter decision through a second decision layer, outputting mapping and optimization iteration of a layer, and determining a die casting regulation parameter combination; and executing die casting process regulation according to the die casting regulation parameter combination. The technical problem that it is difficult to dynamically inhibit shrinkage marks in the die casting process in the prior art, leading to unstable die casting quality, is solved, dynamic inhibition of shrinkage defects is achieved, and the technical effect of improving the forming quality of die castings is achieved.

The invention provides an FPGA-based programmable periodic pulse signal generation method and application thereof, and belongs to the technical field of electronic measurement. In order to solve the problems that the large dynamic range and the high resolution are difficult to consider at the same time and hardware resources are consumed synchronously by multiple channels in the prior art, according to the method, coarse delay is achieved through FPGA system clock counting, and next pulse parameters are calculated through accumulation of remaining decimal parts; picosecond-level fine delay is realized by constructing a three-level cascade architecture consisting of a lookup table, a coarse carry chain and a fine carry chain; and XOR synthesis waveforms after rising edges and falling edges are independently generated respectively. In addition, the inter-channel transmission delay difference is compensated by correcting the initial calculation parameters. According to the multi-channel pulse signal generation circuit, high-precision, low-jitter and strictly-aligned-phase multi-channel pulse signals can be generated only by utilizing pure logic resources of the FPGA.

The invention discloses a multi-station radar signal sorting method based on federated learning, and the method comprises the steps: obtaining a radar pulse parameter sequence of a reconnaissance station for each reconnaissance station participating in reconnaissance, and forming a pulse sorting data set of the reconnaissance station; constructing a federated sorting processing framework of multiple reconnaissance sites and initializing the framework; distributing a local model for each reconnaissance site, and training and testing the local models by using the pulse sorting data set; in the training process, the category weight of each sorting category is calculated through dynamic weighting, and a weighting loss function in the training process is constructed based on the category weight; each reconnaissance site uploads the parameters of the local model to the central server; the central server adopts a parameter averaging strategy to aggregate the parameters of the models of the reconnaissance sites, and new parameters of a global model are formed and issued to the local model to continue the next round of local training; and inputting a radar pulse parameter sequence to be identified into the trained local model to obtain a sorting result.

The invention discloses a pulse type infrared low-temperature drying device and method, and relates to the technical field of radiation drying, and the pulse type infrared low-temperature drying device and method comprises the following steps: S1, heating a drying cavity to a set temperature, starting a dehumidification function, and stabilizing for 3-5 minutes; s2, the materials are conveyed into a drying cavity, the materials are recognized, and material attributes are obtained; s3, initial parameters are set according to the recognized material matching material database, pulse type infrared radiation is started, and the initial parameters comprise the infrared wavelength, the pulse duty ratio, the radiation power and the pulse frequency; s4, monitoring the moisture content of the material, the surface temperature of the material and the relative humidity in the drying cavity in real time as linkage input signals; according to the method, wavelength self-adaptive adjustment, pulse parameter compensation, directional diversion and energy consumption feedback are integrated and coordinated for the first time, the problem of balancing penetrability, energy consumption, material activity and safety in an existing radiation drying technology is fundamentally solved, and the technical bottleneck of single parameter optimization is broken through.

The application provides a radar wave detection method, device, equipment and storage medium. The method comprises the following steps: determining a plurality of radar pulses, types of the plurality of radar pulses and pulse parameters corresponding to each radar pulse in the plurality of radar pulses based on a pulse signal detected in a target channel; determining a target pulse group based on the plurality of radar pulses and the types of the plurality of radar pulses; determining time intervals between adjacent pulses in the target pulse group based on the types of the plurality of radar pulses and the pulse parameters corresponding to each radar pulse in the plurality of radar pulses; and determining whether the plurality of radar pulses constitute a radar wave based on the time intervals between adjacent pulses in the target pulse group. In this way, the time intervals between radar pulses are used as a basis for determining whether the plurality of radar pulses constitute a radar wave in the radar wave detection process, the accuracy and breadth of radar wave detection are improved, and the method is suitable for a plurality of radar pulses that are difficult to identify.

Evaluation and adjustment of time-varying pulse patterns in spinal cord stimulator systems are disclosed. Methods, systems, and computer-implemented algorithms are disclosed for determining time-varying pulses for a patient having an implantable stimulator device (ISD). At least one time-invariant stimuli pulse parameter (e.g., amplitude, pulse width, or frequency) is modified by a modulation function to produce a time-varying pulse (TVP), and one or more measurements are made to determine the effectiveness of the TVP. The measurements may be objective and taken from the patient, and / or subjective and determined based on feedback from the patient. In one example, the objective measurements may include one or more features determined from electrospinal cord (ESG) signals detected by the ISD, which may include evoked composite action potentials. One or more measurements are used to determine a score of TVP, which is useful in selecting an optimal TVP for use with a patient, or in adjusting a modulation function applied to an ankylosing stimulation parameter.

The invention relates to a control work efficiency closed-loop enhancement method and device based on brain cognitive load, and belongs to the technical field of electroencephalogram monitoring and vagus nerve stimulation, and the method comprises the steps: collecting original electroencephalogram signals of a forehead area FP1 / FP2 in real time, and carrying out band-pass filtering and segmentation processing to obtain electroencephalogram data in a data frame form; calculating a phase amplitude coupling index of two brain wave frequency bands according to a theta brain wave and gamma brain wave instantaneous amplitude sequence calculated by Hilbert transform; calculating a brain cognitive load index for evaluating a brain cognitive load state based on the phase amplitude coupling index; according to the brain cognitive load index, dynamically adjusting stimulation pulse parameters to perform vagus nerve stimulation; the brain cognition load is reduced, and the control work efficiency is enhanced; the silent period window with the set duration is reserved after the stimulation pulse is emitted, electroencephalogram data collection is only carried out outside the window, and interference of stimulation artifacts on electroencephalogram signals is avoided. According to the invention, nerve connection can be efficiently improved, and the control efficiency is improved.

The invention discloses pressure wave and shock wave dual-mode ultrasonic nerve stimulation equipment which comprises a power panel, an upper computer board, a lower computer board and an ultrasonic transducer. The power supply board comprises a DAC module and a phase-shifted full-bridge circuit; the lower computer board comprises a lower computer control unit and an ultrasonic driving circuit unit; the upper computer board controls the driving square wave phase difference of the phase-shifted full-bridge circuit by adjusting the voltage of the DAC module so as to control the output voltage; the output voltage of the phase-shifted full-bridge circuit is used as the direct-current power supply voltage of the ultrasonic driving circuit unit and is used for calculating the focus sound pressure of the ultrasonic transducer; the upper computer board sends a pulse parameter instruction to the lower computer board, and the lower computer control unit emits a square wave to excite the ultrasonic driving circuit unit based on the pulse parameter instruction; the surface sound pressure of the ultrasonic transducer is adjusted by adjusting the voltage of the DAC module, and the forming distance of shock waves is adjusted by changing the sound pressure. According to the invention, the same set of drive circuit and the same transducer can generate shock waves and pressure waves at the same time.

The invention discloses an opto-acoustic transducer frequency domain sound pressure calculation method and device based on a thermal expansion theory. The method comprises the following steps: acquiring a laser signal to be calculated; solving the thermal expansion theoretical model in a frequency domain range according to a to-be-calculated laser signal and the integrated light absorption structure parameters to obtain a sound pressure value in a target frequency range; laser pulse parameters, material characteristic parameters and structure parameters are obtained, and based on the sound pressure frequency domain expression, the sound pressure amplitude and frequency band distribution within the target frequency range are obtained through calculation. According to the method, a systematic innovation system of structural equivalent precision-laser parameter adaptation quantification-multi-factor correction collaboration-high-frequency solution reliability is constructed around a core target of precise calculation of the frequency domain sound pressure amplitude and frequency band distribution of the photoacoustic transducer.

The invention discloses a torque control method and device, equipment, a storage medium and a program product, and relates to the technical field of motor control. When the working parameters meet the preset parameter requirements corresponding to the type of the motor, the torque of the motor can be controlled directly based on a torque control instruction sent by a vehicle control unit; when the working parameters of the vehicle do not meet the preset parameter requirements corresponding to the type of the motor, pulse parameters are determined on the basis of the current operation working condition, pulse modulation signals are generated on the basis of the pulse parameters, and the torque of the motor is controlled on the basis of the pulse modulation signals; the same pulse modulation signal can be prevented from being adopted when the torques of different types of motors or motors under different working conditions are controlled, so that the efficiency of a motor driving system is improved.

The invention relates to the technical field of digital signal generation and high-frequency electronics, and particularly discloses a high-resolution sequence pulse synthesizer, which is characterized in that an upper computer configures and issues sequence pulse parameters, and a data reading control module generates ground state control data streams according to the parameters; the programmable edge fine adjustment module generates multiple paths of control data streams by adopting a multi-channel collaborative fine adjustment algorithm according to the edge offset step number; the data split-phase sending module converts the control data stream into a plurality of paths of phase-staggered high-speed serial signals by using a plurality of reference clock channels of which the phases are offset in sequence; finally, a high-speed sequence pulse signal with ultrahigh time resolution is synthesized through an OR gate. According to the invention, the resolution limit of a single clock domain is broken through, the independent and accurate programming of any edge in the pulse sequence is realized, the sequence pulse with large data volume, high output frequency and extremely high resolution can be generated, and the method is suitable for high-performance scenes such as communication and semiconductor testing.

The invention relates to the technical field of industrial adaptive control, in particular to a network adaptive pulse synchronization control method and system fused with event triggering, and the method comprises the steps: controlling a plurality of controlled units to execute a carrying task of a target load; identifying the controlled unit to obtain state feedback data; detecting the state of the target load in real time to obtain disturbance feedback data; performing performance index analysis on the disturbance feedback data, and judging whether a preset event triggering condition is met or not; when the event triggering condition is met, self-adaptive pulse control is started; the self-adaptive pulse control comprises the following steps: comparing and analyzing the state feedback data and a preset benchmark reference model, and determining control deviation data; based on the control deviation data, the disturbance feedback data and the state feedback data, self-adaptive parameter optimization is carried out, and control pulse parameters including pulse amplitude, pulse width, pulse shape and cooperative application time are generated; according to the invention, based on the control pulse parameters, synchronous control of a plurality of controlled units is realized.