391 results about "Pulse number" patented technology

The invention discloses a transformer equipment state real-time monitoring method and system based on multi-source data fusion, and particularly relates to the technical field of transformer equipment state monitoring, and the method comprises the steps: firstly obtaining a unified time reference through the multi-channel time alignment driven by an event anchor point, and employing a strategy of combining rough alignment with refined alignment; on the basis, the channel alignment confidence coefficient is constructed according to the main peak sharpness ratio, the group delay consistency, the phase locking consistency and the geometric consistency of temperature compensation; then acoustic emission spectrum energy and pulse number, vibration impact characteristics and cross-sensor consistency characteristics are extracted under a unified time reference, and dynamic threshold setting is carried out in combination with load and environment context; performing gating weighting, intra-group decorrelation and probability calibration on the multi-source evidence according to the channel health factor to obtain calibrated fault probability and inconsistency; and finally, outputting a grading result under the constraint of multi-stage judgment and physical consistency rechecking controlled by the error discovery rate.

Provided is a time measurement apparatus which includes a pixel (PZ) that includes a light receiving element and generates a pulse signal (a pixel signal SIG) including a logic pulse on the basis of a light reception result in the light receiving element, a timing detector (a counter section) to detect a light reception timing in the light receiving element on the basis of the pulse signal, a pulse number detector (a time measurement section) to detect a pulse number of the logic pulse included in the pulse signal; and a controller to control, on the basis of the pulse number, an operation of a light source outputting a plurality of light pulses.

Disclosed in the present application is an electrode sheet roll-pressing and cutting system and method. The system comprises: an encoder, detection mechanisms, a programmable logic controller and a marking mechanism. The detection mechanisms shoot images of an electrode sheet in the system on the basis of the frequency of a pulse signal output by the encoder. An upper computer determines a defect region of the electrode sheet on the basis of the N-th image of the electrode sheet shot by the detection mechanisms and, on the basis of the defect region, determines the number S of pulses that the programmable logic controller needs to await. When determining that the S pulses have been awaited, the programmable logic controller sends a marking instruction to the marking mechanism. The marking mechanism marks the defect region of the electrode sheet on the basis of the marking instruction. In addition, the upper computer is further used for identifying edges of a tab region image among the images shot by the detection mechanisms, and determining the size of a tab region on the basis of the edges. Thus, the present application can determine the defect region of the electrode sheet, accurately mark the defect region on the basis of the position of the defect region in the electrode sheet, and determine the size of the tab region of the electrode sheet.

Systems and methods for detecting multiple events during nuclear imaging scans, and for reconstructing images based on the detected events, are disclosed. In some embodiments, an image scanning system scans a subject, and generates a signal characterizing a detection event. The system generates sampled data based on sampling the at least one signal. Further, the system applies a trained machine learning process to the sampled data. Based on the application of the trained machine learning process, the system generates pulse data characterizing a plurality of decoupled pulses. For example, the pulse data may characterize pulse energy values of each of the decoupled pulses, and corresponding times for each of the pulses. Further, the method includes transmitting the pulse data to generate time-coincident pairs for image reconstruction.

The invention belongs to the related technical field of laser micro-nano machining, and particularly relates to a 2.5 D micro-pattern laser machining method based on an acousto-optic deflector and a galvanometer, which is realized by adopting a laser device based on combination of an acousto-optic deflection module and the galvanometer, and comprises the following steps: in single track scanning of the galvanometer, according to a preset pulse machining sequence corresponding to a machined pattern, carrying out laser processing on the machined pattern according to a preset pulse processing sequence corresponding to the machined pattern; frequency control signals corresponding to the pulses are input into the two acousto-optic deflectors respectively, so that laser pulse distribution formed on the machined part after single-time track scanning of the galvanometer is shown as the pulse superposition number in the depth direction and the lap joint rate between adjacent pulses in the normal direction of the advancing direction of the galvanometer; the pulse superposition number of each pulse position in the depth direction reflects the processing depth of the pulse position, and the pulse number and the pulse overlap rate of each positioning position in the normal direction of the moving direction of the galvanometer are determined according to the section width and the contour radian in the width direction of a processing graph. According to the invention, the processing of any 2.5 D micro-pattern can be realized.

The invention provides a single-line communication method and device based on pulse counting, electronic equipment and a medium, and relates to the technical field of switches and servers. The method is executed by a main board in a system, the main board is connected with a sub-board through a single in-place signal line, and the method specifically comprises the following steps: within a first preset time period after the system is powered on, sending a first pulse sequence through the single in-place signal line, and verifying the connection state of a cable based on a received response signal; if the connection state is verified to be normal, sending a second pulse sequence through a single in-place signal line, and performing data communication with the daughter board; wherein the second pulse sequence forms communication bytes in a pulse number coding mode. According to the invention, an in-place signal line which is only used for static level detection traditionally is transformed into a dynamic multifunctional channel, so that the dual defects of low communication efficiency and high misplugging risk of a traditional scheme are synchronously overcome on the premise of not increasing any hardware cost and wiring complexity.

A method, apparatus, and non-transitory, computer readable medium are disclosed herein for optimizing a pressure pulse signal during ramp down operations for a hydraulic fracturing process in a wellbore. In one embodiment, a method comprises: obtaining pressure pulse data from a wellbore; calculating wave speed for the wellbore; and determining a rate change schedule for use during a ramp down procedure based on the wave speed.

The invention relates to the technical field of integrated circuit packaging, solves the problem that a calibration process in the prior art lacks a stable displacement reference consistent with actual movement of equipment, and provides an integrated circuit visual positioning calibration method based on a pulse displacement reference and a medium. The method comprises the following steps: controlling a motion platform to move along a first direction and a second direction from a preset starting point according to a preset pulse number, and obtaining a calibration data set; acquiring pulse deviation data and pixel change data according to the calibration data set; according to the pulse deviation data and the pixel change data, obtaining a rotation deviation angle between the motion coordinate system and the imaging coordinate system; and when a target chip comprising an integrated circuit is subjected to die bonding, compensating a conversion relation between an imaging coordinate system and a motion coordinate system according to the rotation deviation angle. According to the invention, pulse displacement is introduced as a unified calibration reference, and the reliability of a visual positioning result in an integrated circuit die bonding process is improved.

The invention relates to the technical field of error correction, in particular to a motor driving precision correction method and system based on force feedback data, and the method comprises the following steps: obtaining a force feedback and pulse number calculation growth rate peak value definition early warning threshold value, extracting multi-speed frequency domain amplitude, screening characteristic frequency bands, and constructing a mapping table; in the initial driving stage, abnormity is judged, a prospective correction torque is generated, frequency domain characteristics are extracted, energy is calculated, a mapping table is called for interpolation correction, and prospective and dynamic correction torque is superposed to adjust a current instruction. According to the invention, through combination of a force feedback sensor and frequency domain feature extraction, construction of a force feedback growth rate peak early warning threshold value, screening of a dynamic error feature frequency band, prospective identification of an abnormal state, error compensation according to frequency band energy and steady-state average force feedback mapping, and dual-path linkage, prospective correction and dynamic adjustment are completed. Frequency domain compensation inhibits transient control drift, precision is kept under multiple loads, the abnormal response and correction efficiency without hardware intervention is improved, and stability and continuity of system control are guaranteed.

Machine tool control device for driving a feed axis or a main axis by a motor, comprising: a feedback counter (1) for receiving A- and B-phase signals of square waves or sine waves and a 1-revolution signal generated each time the motor or main axis completes one revolution, wherein the A and B phase signals and the 1-revolution signal are provided by a sensor for detecting the position or speed of the driven axis or of the motor to calculate a feedback count, which is a count of the number of feedback pulses generated by the A and B phase signals; a feedback count storage unit (2) for storing an inter-1-revolution signal feedback count, which is the feedback count counted between two sequential 1-revolution signals; a reference value storage unit (3) for storing an abnormality determination reference value for determining the presence or absence of an abnormality according to the inter-1-revolution signal feedback count value; and an abnormality cause determination unit (4) for determining the cause of the abnormality by comparing the inter-1-revolution signal feedback count value with the abnormality determination reference value, wherein, when the inter-1-revolution signal feedback count is higher than the anomaly determination reference value and a difference between the inter-1-revolution signal feedback count and an inter-1-revolution signal feedback count in the normal case corresponds to an integer multiple of an error calculated from the number of pulses or waves of the A- and B-phase signals per revolution, the anomaly cause determination unit (4) determines that noise is disturbing the A- and B-phase signals; and if the difference is not an integer multiple of the error, the abnormality cause determination unit (4) determines that there is an abnormality in the 1-turn signal.

The invention discloses an electric energy meter misalignment checking method and system based on electric energy pulse acquisition, and a medium. The method comprises the following steps: respectively acquiring a first pulse number corresponding to a general meter and second pulse numbers corresponding to a plurality of sub-meters in a meter box; respectively smoothing the first pulse number and each second pulse number to obtain a first average electric energy pulse number corresponding to a general meter and a second average electric energy pulse number corresponding to each sub-meter; inputting the first average electric energy pulse number and each second average electric energy pulse number into a preset misalignment analysis model for solving to respectively obtain a line loss rate, a fixed loss and a plurality of sub-meter errors; and determining a misalignment sub-meter needing to be calibrated according to the plurality of sub-meter errors, and checking the misalignment sub-meter based on the line loss rate and the fixed loss. According to the invention, the accuracy and efficiency of electric energy meter misalignment checking can be improved.

The invention discloses a multi-parameter fusion non-intrusive partial discharge on-line monitoring method and system. Six types of sensors are arranged on the outer wall of each switch cabinet in a non-intrusive mode; according to six-channel partial discharge pulse data corresponding to the switch cabinet, establishing a two-dimensional phase difference confidence ellipse, and reserving pulse data falling into the two-dimensional phase difference confidence ellipse as a homologous event; dividing a set interval in the Noise channel into a plurality of sub-bands; constructing a temperature and humidity-noise gain matrix in each sub-band in real time, and performing reverse compensation on the frequency spectrum in the homologous event; constructing a six-dimensional vector for the compensated frequency spectrum, sending the six-dimensional vector to a Light CNN (Convolutional Neural Network) in the edge device, and outputting an initial discharge probability; correcting the initial discharge probability to obtain a final discharge probability; and based on the final discharge probability, carrying out risk grading on the partial discharge event in combination with edge calculation, and giving an alarm according to a risk grading result. According to the method, the partial discharge identification accuracy can be remarkably improved, and all-weather and full-life-cycle monitoring in a real sense is realized.

The invention discloses a nuclear pulse signal discrimination method and system, and belongs to the field of nuclear radiation detection.The nuclear pulse signal discrimination method comprises the steps that firstly, a nuclear pulse data set is constructed in two modes, one mode is that a simulated nuclear pulse generator is used for generating pulse signals for determining ray types, and the pulse signals are collected through an FPGA + ADC hardware system; secondly, Python software is used for simulating and generating pulses for determining ray types according to actual nuclear pulse signal characteristics; then, a CNN model is constructed based on the LeNet network, and a triple loss function is adopted for model training; and finally, similarity matching is carried out through measurement by means of feature vectors output by the neural network, and discrimination and classification of different types of nuclear pulse signals are realized. According to the method, the nuclear pulse signal features are automatically extracted through the deep metric learning model, the limitation of dependence on artificial feature extraction in a traditional method is overcome, the accuracy of nuclear pulse signal discrimination is improved, pulse signals generated by different types of rays can be effectively distinguished, and an efficient and reliable technical scheme is provided for nuclear radiation detection.

The invention provides a current transformer saturation detection method and system, and relates to the technical field of state detection and fault diagnosis of current transformers, and the method comprises the steps: synchronously collecting the secondary side current, bus voltage, cable insulation and partial discharge data of a current transformer, and carrying out the normalization according to classes, and then completing the time sequence alignment; secondly, a fixed sliding window is set, current distortion rate, voltage over-limit frequency, insulation parameter mean value and partial discharge pulse quantity characteristics are extracted, and whether current transformer saturation, insulation abnormity and partial discharge abnormity events exist in the window or not is judged according to the current distortion rate, the voltage over-limit frequency, the insulation parameter mean value and the partial discharge pulse quantity characteristics; counting the saturation probability under each node state based on a Bayesian causal network, calculating and normalizing the causal contribution degree of the insulation abnormity and the partial discharge abnormity to the saturation event, and determining a dominant influence factor; and finally, a health index is calculated in combination with the normalized contribution degree and the abnormal state, the running health condition of the current transformer is evaluated through trend analysis in combination with a dominant factor, saturation inducements are positioned, and misjudgment is avoided.

The invention discloses a laser radar analog front-end circuit with strong environmental adaptability, and solves the problem that change noise is difficult to filter in a correlation detection method in the prior art. The circuit comprises a synchronous clock active quenching reset circuit which outputs SPAD pulse signals; the time window configuration circuit generates a window signal with adjustable pulse width; the analog domain intensity integral circuit outputs analog integral voltage changing along with the SPAD pulse number within the period of validity of the window signal; the sampling holding and inter-frame reset circuit samples as a reference voltage and resets the integral circuit after the window is ended; the correlation detection logic circuit compares the analog integral voltage with the reference voltage within the period of validity of the window signal, and outputs a trigger signal when the analog integral voltage exceeds the reference voltage; by integrating the light intensity in real time and adaptively updating the threshold value, only effective target echoes are triggered in a complex light environment, the resource overhead and power consumption are reduced, and the system environment adaptability and the ranging reliability are improved.

The invention discloses a high-precision self-timekeeping method based on an FPGA, and relates to the technical field of high-precision time synchronization, and the method comprises the steps: providing a 10MHz system clock through a constant-temperature active crystal oscillator, carrying out the up-sampling of the clock frequency to 200MHz through a phase-locked loop frequency multiplication algorithm, and carrying out the up-sampling of the clock frequency to 200MHz; performing time synchronization on the system by using reliable time data and effective pulse per second signals provided by a satellite module, screening and selecting reference pulse per second, recording reference pulse per second data of at least 30 minutes, monitoring a rising edge of the pulse per second based on a sampling rate of 200MHz, and storing a maximum value of a counter per second to an RAM (Random Access Memory); the high-precision self-timekeeping method based on the FPGA not only can cope with complex environmental conditions, but also can ensure that stable synchronization performance is kept under long-time operation, so that the strict requirement of a modern high-precision time synchronization system on clock precision is met.

A layered pulse generator for a vertical-cavity surface-emitting laser (“VCSEL”) driver is disclosed consisting of three elements: a low-speed pulse generator, a high-speed pulse generator, and a pulse generator selector, all of which are on-chip with the VCSEL driver. By providing these elements on-chip, overall system power and complexity are reduced while allowing for significantly higher pulse train frequencies compared with known systems. The high-speed pulse generator is capable of generating pulses faster and with higher resolution than that of the low-speed pulse generator. The high-speed pulse generator uses multiple clock outputs, phase shifted, and synthesized into a single pulse waveform capable of wide-ranging frequencies, duty cycles and pulse counts.

The present application relates to laser processing simulation method, specifically relates to a kind of single line scribing simulation method and multi-line scanning simulation method based on section lofting, for solving the problem that the calculation efficiency of existing pulse laser ablation simulation model is limited, simulation calculation time is still longer.The single line scribing simulation method based on section lofting provided by the present application, processing track is decomposed into stable section and unstable section, a small amount of key point pulse is obtained by discrete sampling on stable section, and the ablation section line of all key point pulse is calculated and obtained;The ablation section line of lofting key point pulse is obtained, the ablation surface of stable section is obtained, and then its ablation topography is obtained;The single line scribing simulation method based on section lofting of the present application, since only the ablation section line of a small amount of key point pulse is calculated, and lofting time is unrelated to pulse number, the calculation efficiency of workpiece ablation topography is greatly improved, and the more the total number of pulse, the higher the calculation efficiency is improved.

The invention discloses a magnetic stimulation signal output method and device of magnetic stimulation equipment, a magnetic stimulation system and a computer readable storage medium, and the method comprises the steps: receiving a magnetic pulse output instruction, and at least obtaining a standard curve, a magnetic pulse output mode and a pulse set value according to the magnetic pulse output instruction; sampling the standard curve according to set sampling times to obtain sampling data; according to a magnetic pulse output mode, multiplying the pulse set value by each piece of sampling data to obtain pulse data of each magnetic pulse in the string magnetic pulse signal; wherein the pulse data is pulse frequency and / or pulse amplitude; and outputting each magnetic pulse of the string magnetic pulse signal according to the pulse data. According to the technical scheme, flexible and diversified change adjustment of the magnetic pulse signal can be realized, the problem of adaptive fatigue of human muscles and the like is effectively avoided, and the physiotherapy effect of the magnetic stimulation equipment is ensured.

The application discloses a kind of electroencephalogram emotion recognition methods based on pulse convolutional neural network.The present application is after the preprocessing of electroencephalogram emotion data, it extracts differential entropy feature and time window intercept, then it is encoded using pulse convolutional encoder;Pulse convolution feature extractor extracts pulse data features;Pulse fully connected classifier learns and classifies.The present application directly trains the pulse neural network by fusing the pulse convolution layer and the pulse fully connected layer, achieves the purpose of electroencephalogram emotion classification, and transmits pulses between layers and time slices in the network during the training process through the pulse convolution layer, extracts the space-time information in electroencephalogram data, and then classifies emotions through the feature learning of the pulse fully connected layer.The present application combines the existing traditional neural network with the pulse neuron by using the characteristics of pulse neural network, improves the performance and generalization ability of the model, and realizes good emotion recognition effect and smaller model size.

The application discloses a kind of subarray level timing round-robin high duty cycle wide coverage pulse waveform design methods, belong to radar detection technical field.The application uses subarray level timing round-robin transmission to improve pulse waveform duty cycle, on the basis of this, through the joint optimization design long-short pulse width, number of coherent pulses, subarray timing round-robin transmission cycle number, the detection range of wide coverage pulse waveform is realized.Problems, such as the degradation of detection power caused by the limitation of ERP when the pulse array radar transmits wide coverage beamforming.

The invention relates to a data processing method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that under the condition that a page is in an open state, a pulse signal used for determining time length data is reported in response to the fact that a collection condition corresponding to the time length data is met, and the time length data is used for representing the user participation degree of the page. Therefore, by reporting the pulse data, the participation degree of the user on the page can be measured more simply and accurately, accurate determination of the time length data is realized, the possibility of missing report and false report is effectively reduced, and a solid data support is provided for subsequent business decision. Moreover, the data processing method provided by the invention can be suitable for various front-end frames, most industries and most Web development scenes, and has wide universality.

The invention provides a non-contact microwave physiological parameter monitoring method and system, and the method comprises the steps: obtaining a reflected signal, separating the real part data and imaginary part data of the reflected signal, and carrying out the structural data division according to the number of receiving antennas, the number of frames, and the number of Chirp signal pulses; enabling the divided data to pass through a static clutter suppression filter to obtain a pre-processing signal, and carrying out distance dimension FFT processing on the pre-processing signal to obtain a distance-angle thermodynamic diagram; according to the distance-angle thermodynamic diagram, phase demodulation is carried out on the preprocessed signal to obtain a phase signal, filtering and denoising processing is carried out on the phase signal to obtain a target signal, finally, the target signal is extracted to obtain corresponding physiological parameters, and specifically, the distance-angle thermodynamic diagram is obtained. Non-contact accurate monitoring of respiration, heart rate and blood pressure is achieved through the microwave radar technology.

The invention relates to the technical field of industrial control, in particular to a configuration method for taking a servo drive as an external encoder, which comprises the following steps: taking a first control unit as an external encoder and configuring the external encoder as an absolute value mode, taking a second control unit as a main drive unit and setting the external encoder as a full-closed-loop control mode, and converting absolute position data of a first motor into absolute position data of a second motor; the signal is converted into an incremental pulse signal, and the pulse signal is used as feedback data to be transmitted to a second servo driver for full-closed-loop position correction; recording the pulse number of the second motor and the feedback pulse number of the first control unit, calculating an electronic gear ratio, and writing the electronic gear ratio into a second servo driver; an excitation signal is injected into the second servo driver through the upper computer, response data of the second motor and the load end are recorded, gain parameters are calculated and adjusted based on the dynamic characteristics of the mechanical transmission chain of the load end, and the gain parameters are written into the second servo driver. Servo serves as an encoder, and absolute value full closed loop is achieved.

The application provides an electronic watch running time precision regulation system, and relates to the technical field of data processing.The system is used for collecting temperature values, voltage values and cumulative running time, counting the number of pulses output by a crystal oscillator in a unit time, obtaining state data and basic frequency data, calculating frequency offset values in different periods, performing window sliding, calculating drift trend values in different windows, calculating the difference between different states between adjacent periods, obtaining state change values, combining and analyzing the state change values with a frequency drift trend sequence, obtaining a state response coefficient set, identifying effective disturbance components in state change vectors of different periods, calculating pulse compensation values in different periods, obtaining pulse compensation data, correcting timing pulses, obtaining a pulse output sequence, and updating the time of the electronic watch according to the pulse output sequence.The application can regulate the pulse signal of the electronic watch and ensure the precision of running time.

The invention relates to a partial discharge signal identification method, device and equipment, a medium and a program product. The method comprises the following steps: acquiring original partial discharge pulse data of to-be-detected equipment; inputting the original partial discharge pulse data into a pre-trained partial discharge signal enhancement model to obtain enhanced partial discharge pulse data; matching the enhanced partial discharge pulse data with a standard pulse signal to obtain candidate partial discharge pulse data; acquiring response feature information of the to-be-detected equipment; and inputting the candidate partial discharge pulse data and the response feature information into a partial discharge identification model, respectively executing feature extraction to obtain a to-be-detected partial discharge pulse feature and a response distribution feature, and obtaining a target response identification result of the to-be-detected device based on the to-be-detected partial discharge pulse feature and the response distribution feature. By adopting the method, multi-dimensional features such as a topological structure and an operation state of the equipment can be fused, the identification accuracy is high, and the anti-interference capability is strong.

The present application discloses a method and device for sensing network interference. First, energy detection is performed on each frequency point during a detection period to obtain the energy value of each frequency point, and the energy value, the number of data packets, and the number of pulses received from adjacent communication nodes are sent to an interference sensing unit. The energy threshold required for signal duty cycle calculation is determined based on the number of data packets. The number of pulses of the communication node is sent during an interaction period. The interference sensing unit calculates a reference duty cycle based on the number of pulses of the communication node and the number of pulses of the adjacent communication node. During a discrimination period, the signal duty cycle of the frequency point is calculated using the energy threshold and the energy value, and interference discrimination is performed together with the reference duty cycle. Energy detection and the number of pulses are comprehensively utilized and multiple factors are used for joint discrimination. At the same time, the pulse number information shared by the network is fully utilized as a judgment baseline through the two dimensions of time distribution and energy size to reduce the probability of misjudgment and missed judgment, thereby improving the accuracy of interference perception.

The present invention provides a gas ultrasonic flowmeter and a method for wave skip identification and correction thereof. The flowmeter includes a microprocessor, an amplifier, a first comparator, a timer, a sampling switching circuit, a second comparator, a logic control circuit, and a counter. The method uses a timer to calculate the time difference between the square wave signal and the excitation wave emission time to obtain the ultrasonic transmission time t0 and the average period T of the received wave. A counter is connected to the output end of the second comparator and collects the number of pulses N of the pulse signal output by the second comparator. The microprocessor identifies wave skips based on the number of incremental waves M and the number of pulses N, and corrects the ultrasonic transmission time t0 to obtain the corrected ultrasonic transmission time t. The present invention can effectively identify wave skips and, after determining the preceding and following wave skips and the number of wave skips, correct the forward and reverse ultrasonic transmission times, thereby ensuring accurate measurement of the time difference value and improving the accuracy and reliability of flow measurement.

This application discloses a threshold adjustment method, apparatus, device, and medium based on partial discharge data, relating to the field of partial discharge detection technology. The method includes: acquiring the current spectrum type; setting a first adjustment threshold based on the current spectrum type; acquiring effective pulse data and the corresponding number of phase windows based on the first adjustment threshold; calculating the phase window ratio based on the number of phase windows corresponding to the data; if the phase window ratio exceeds a first ratio threshold, clustering the data to obtain a DBI index; if the DBI index is less than a first index and the number of cluster centers is less than or equal to the first threshold, performing an FFT transformation on the data to obtain the frequency point with the highest energy and calculating the energy ratio of that frequency point; if the energy of that frequency point is not within a first range and the energy ratio is less than or equal to a second ratio threshold, adjusting the first adjustment threshold to obtain a second adjustment threshold. This method effectively improves the detection accuracy of partial discharge data.

The application discloses a cam control method and device, equipment and medium, and relates to the field of mechanical automation control. The method is applied to an FPGA, and comprises the following steps: extracting a target parameter for representing the length of a target segment sub-path from a cam table, and updating a first counter for counting the displacement of a main shaft and a second counter for counting the displacement of a slave shaft; determining the target pulse number required to be output by the slave shaft by using the counting ratio relationship between the current two counters; if the main shaft has pulse input, updating the first counter, controlling the slave shaft to output the target pulse number of pulses, and updating the second counter; judging whether the pulse processing for the target parameter is completed based on the current counting of the two counters; if not, jumping to the step of determining the target pulse number required to be output by the slave shaft by using the counting ratio relationship between the current first counter and the current second counter. The application can reduce the resource consumption of the FPGA, and enable the slave shaft to quickly respond to the input of the main shaft.