38 results about "Pulse analysis" patented technology

The invention relates to the field of crystal detection, and discloses a multifunctional comprehensive scintillation crystal and semiconductor material energy spectrum test system, which comprises a crystal adaptation module for judging the type and size of a placed crystal through an optical identification and parameter matching mechanism, and a signal acquisition module for amplifying, filtering and digitally processing an acquired signal, the signal correction module is used for correcting waveform distortion and baseline drift through a dynamic gain adjustment algorithm of a low-noise pre-amplifier and a multi-channel pulse analyzer; the data analysis module is used for generating an energy spectrum curve according to input signals and calculating energy resolution, counting rate, light attenuation time or carrier mobility, and the environment calibration module is used for dynamically evaluating shading degree, environment light, temperature and electromagnetic interference through an optical sensor and a temperature and humidity detector in the camera obscura and outputting updated calibration parameters. The method has the advantages of improving the detection efficiency, precision and consistency.

The invention relates to a method for processing and analyzing pulse condition information of an atrial fibrillation patient in the technical field of pulse condition analysis and recognition, which comprises the following steps of: S1, acquiring a pulse signal and converting the pulse signal into a digital signal; s2, noise reduction preprocessing is conducted on the digital pulse signals through an empirical mode decomposition method in combination with self-adaptive threshold value processing; s3, Fourier transform FT is carried out on the preprocessed pulse signal, the pulse signal is converted into a frequency domain signal, Hilbert-Huang transform HHT is combined to process a non-stationary signal, frequency components of local instantaneous transform are extracted, and frequency spectrum features of the pulse are comprehensively obtained; s4, key characteristic parameters including frequency, amplitude, period and fluctuation amplitude are extracted from the frequency spectrum, and matching analysis is carried out on the key characteristic parameters and a predefined pulse condition database; according to the processing and analyzing method, automation, digitization and quantification of pulse condition analysis are achieved through the modern signal processing technology combining FT-HHT, and then objectivity, accuracy and wide applicability of pulse diagnosis are improved.

The invention belongs to the technical field of radial artery compression hemostats, and particularly relates to a radial artery hemostasis method based on real-time pulse analysis and a hemostat control system. A slow and continuously changing force is applied to a radial artery puncture opening through the pressure applying module, meanwhile, the pulse detection module transmits a pulse forced feedback signal of the puncture opening to the main control module in real time, and the main control module analyzes and processes the received feedback signal in real time and judges the current hemostatic state of the radial artery. And on this basis, the pressure applying module is controlled to adjust the pressure. The method is characterized in that the relation between pulse forced feedback signals and the forced state of the radial artery is obtained through clinical tests according to the difference of the pulse feedback signals of the radial artery in different pressed states, and therefore the pressure is stabilized in the state that the blood flow of the radial artery is stable and a puncture opening does not bleeding. According to the scheme, the individual difference between different patients can be overcome, the compression hemostasis strength is adjusted in a self-adaptive mode, and the occurrence rate of related complications such as radial artery occlusion is effectively reduced.

The invention relates to the medical field, and discloses a gyromagnetic pulse action path optimization method and system, and the method comprises the steps: S1, carrying out the pulse data collection of a patient through pulse analysis equipment, and generating original pulse data; performing denoising processing on the original pulse condition data to obtain clear pulse condition data; s2, fusing the clear pulse condition data with other diagnosis information of the patient on the basis of a four-diagnosis combined parameter concept to generate comprehensive health assessment data; performing simulated fingering acquisition and analysis according to the comprehensive health assessment data, simulating the influence of different fingering on the pulse condition, and obtaining a simulated fingering analysis result; according to the method, through multi-part synchronous pulse condition collection, intelligent denoising and a deep learning filtering model, the definition and authenticity of pulse condition data are effectively improved, and the influence of environmental noise is reduced; the pulse condition data, the tongue condition, the facial expression, the voiceprint feature, metabonomics detection and other information are subjected to cross-modal fusion, and comprehensive assessment of the health state of the patient is achieved in combination with the traditional Chinese medicine four-diagnosis combined reference concept.

The invention relates to the technical field of photoetching machine data transmission, and discloses an ultra-high-speed distributed data transmission synchronization system of a direct-writing photoetching machine. The system comprises a dynamic exposure pulse analysis module which constructs a distributed transmission delay calculation model based on historical operation data, collects data such as a laser trigger pulse sequence in real time and outputs a theoretical transmission synchronization value; the multi-channel time sequence offset detection module generates a node-level multi-channel time sequence offset matrix through multi-dimensional comparison of the theoretical value and the actual transmission time sequence; the spatial topology mapping module is combined with the physical position and the link impedance parameter to generate a time sequence abnormal propagation path probability distribution cloud picture so as to locate a high-delay area; and the dynamic bandwidth allocation module configures a transmission strategy according to the data, starts redundant channel parallel transmission for a high-delay area, and implements dynamic clock offset compensation for adjacent nodes, so that the synchronization stability and transmission efficiency of data transmission are effectively improved.

The invention discloses a recommendation system based on user behavior analysis, and relates to the technical field of artificial intelligence and information recommendation, and the system comprises a front-end signal acquisition module, a layered pulse processing module, a differential signal amplification module and a recommendation strategy generation module. User behaviors are divided into three levels of millisecond-level instantaneous pulse, minute-level behavior wave and hour-level trend flow, and the relevance of behavior mutation of each level is extracted through a differential signal amplifier, so that the system can sensitively capture behavior changes of a user under different time scales, accurately insight into instant interests and long-term demands of the user, and improve the user experience. The system can quickly find the attention of a user to specific contents through millisecond-level instantaneous pulse analysis, and further understand the behavior preference and potential requirements of the user by combining the analysis of minute-level behavior waves and hour-level trend flow.

The invention provides a submarine optical cable bidirectional loopback detection device and method based on wavelength division multiplexing, and belongs to the technical field of optical fiber communication precision detection and intelligent analysis. Through the first detection shore station A module, the pulse control processor generates a downlink detection pulse to respectively drive an uplink detection pulse optical signal and a downlink detection pulse optical signal to a main optical fiber; the pulse control processor analyzes the first transmitting and receiving time delay and the first signal attenuation; a second detection shore station B module, wherein the pulse control processor generates an uplink detection pulse; analyzing the second transmitting and receiving time delay and the second signal attenuation, and comparing the first transmitting and receiving time delay and the first signal attenuation; the double-loop module is used for separating, converting and coupling the uplink detection pulse optical signal and the downlink detection pulse optical signal to a main optical fiber for returning; and the intelligent master control processing module is used for measuring the phase of the bidirectional loopback signal and the amplitude change of the loopback signal, detecting and judging whether the uplink signal and the downlink signal are normally received or not, and performing accurate fault positioning and intelligent fault cause analysis and detection by combining with signal time delay.

The invention discloses a radiation monitoring method and gate-type radiation monitoring equipment, and relates to the technical field of radiation monitoring. The method comprises the following steps: performing pulse analysis processing on a real-time gamma ray pulse signal to obtain a real-time net counting rate and a pulse PSD distribution histogram; determining a compensation coefficient according to the environmental data, and performing real-time compensation on the real-time net counting rate to obtain a compensated real-time net counting rate; performing compensation counting rate calculation according to the reference parameter, the compensated real-time net counting rate and the pulse PSD distribution histogram to obtain a compensation counting rate; and determining a target alarm type according to the compensation counting rate, the real-time net counting rate and a preset alarm condition corresponding to each alarm type, and performing alarm control according to an alarm mode corresponding to the target alarm type. Compared with the prior art, the method does not depend on single dose rate measurement or total count rate analysis, at the moment, it can be guaranteed that detection is more accurate, the method is not affected by environmental fluctuation any more, and then the problems of frequent false alarms and the high false alarm rate can be solved.

The embodiment of the invention relates to the technical field of pulse diagnosis, and discloses a pulse analysis method based on a pulse diagnosis instrument, which comprises the following steps: processing a pressure change signal within a set time to obtain an original pulse waveform signal associated with a user; performing high-frequency denoising processing on the first pulse frequency signal according to a set noise threshold value; acquiring all wavelet coefficients associated with the high-frequency detail signal, traversing all the wavelet coefficients, determining that the absolute value of the wavelet coefficient at a certain point is greater than the absolute value of the wavelet coefficient adjacent to the wavelet coefficient, and taking the wavelet coefficient as a signal abrupt change point; generating a corresponding pulse image of the user based on the pulse condition data of the user within a set time range; and inputting the obtained pulse condition graph of the user into a pre-constructed standard pulse condition model to determine a pulse condition type result of the user, and outputting the pulse condition type result of the user. According to the scheme provided by the embodiment of the invention, the user can conveniently, quickly and accurately know the pulse condition and the physique state of the user, and the use convenience is improved.

Systems and methods for quantum computing devices are provided. In one example, a method may include implementing, by a quantum computing system, a microwave pulse train in a microwave control signal for a qubit of a quantum computing system, the microwave pulse train having a plurality of microwave pulses. The method may include determining, by the quantum computing system, a Fourier parameter associated with the plurality of microwave pulses based at least in part on a Rabi oscillation of the qubit. The method may include modifying, by the quantum computing system, one or more control signals for the qubit of the quantum computing system based at least in part on the Fourier parameter.

The present application relates to the technical field of medical monitoring, in particular to a vascular hemodynamic abnormality monitoring system and a pulse wave analysis method thereof, the core of the present application lies in that a flexible piezoelectric sensor array is used to capture human vascular pulse wave signals, the signals are transmitted to a wearable monitoring device for preliminary preprocessing, and then transmitted to a data processing host through a wireless manner, a pulse wave analysis module in the host adopts a multi-level analysis method, including multi-scale signal decomposition and reconstruction, nonlinear feature extraction and pattern recognition, multi-parameter adaptive judgment standard, deep learning feature automatic extraction and multi-site information fusion decision, ensuring the accuracy and comprehensiveness of the analysis, finally, the processing result is transmitted to an application platform to generate a vascular health report, realizing non-invasive continuous monitoring, this innovation effectively fills the gap of the prior art in continuous monitoring, and has important significance for real-time monitoring of vascular health status and prevention of vascular diseases.

The invention discloses an adaptive inclusive formation control method for a heterogeneous singular multi-agent system, comprising: first constructing a heterogeneous singular multi-agent system and describing its inclusive formation control; then designing an adaptive state feedback formation controller and an adaptive dynamic output formation controller; then converting the inclusive formation control problem into an infinite norm constraint problem by designing the state transformation of a closed-loop system under the action of the adaptive state feedback formation controller; then combining pulse-free analysis and stability analysis to obtain the inclusive formation control method for the heterogeneous singular multi-agent system under the action of the adaptive state feedback formation controller; finally, according to the state transformation of the closed-loop system under the action of the adaptive dynamic output formation controller, the inclusive formation control method for the heterogeneous singular multi-agent system is obtained; the present invention realizes the inclusive formation control of the heterogeneous singular multi-agent system and can quickly estimate the virtual leader matrix information.

Systems and methods for quantum computing devices are provided. In one example, a method may include implementing, by a quantum computing system, a microwave pulse train in a microwave control signal for a qubit of a quantum computing system, the microwave pulse train having a plurality of microwave pulses. The method may include determining, by the quantum computing system, a Fourier parameter associated with the plurality of microwave pulses based at least in part on a Rabi oscillation of the qubit. The method may include modifying, by the quantum computing system, one or more control signals for the qubit of the quantum computing system based at least in part on the Fourier parameter.

To provide a technology to appropriately remove noise from time-series data on a heartbeat or a pulse.SOLUTION: A pulsation analysis device includes: a beat interval time-series data acquisition unit for acquiring beat interval time-series data for time of a beat interval, which is a time interval of a heartbeat or a pulse; a variation deriving unit for deriving a change speed in the beat interval or an acceleration in the beat interval from the beat interval time-series data on the basis of the beat interval time-series data acquired by the beat interval time-series data acquisition unit; a maximum frequency acquisition unit for classifying the change speed or the acceleration derived by the variation deriving unit into a plurality of sections and acquiring a maximum frequency out of these sections; and a removal unit for removing noise data from the interval time-series data according to the maximum frequency acquired by the maximum frequency acquisition unit.SELECTED DRAWING: Figure 1

The invention discloses a pulse analysis method and device, equipment and a storage medium. Firstly, a to-be-analyzed face image frame can be obtained through image acquisition equipment, an initial state space is set, and the initial state space is used for providing historical background and dynamic context information for the to-be-analyzed face image frame when a pulse analysis model carries out pulse analysis. Inputting the to-be-analyzed face image frame and the initial state space into a pre-constructed pulse analysis model for pulse analysis to obtain a first predicted pulse value and an updated state space; wherein the pre-constructed pulse analysis model is obtained by performing model training on the basis of a space-time state space model with dual characteristics. And finally, outputting the first predicted pulse value and the updated state space. According to the method, combined modeling of time and space changes is successfully realized, so that the pulse analysis model can extract tiny blood flow dynamic characteristics from a single-frame image, and accurate pulse prediction is carried out.

The present application belongs to the technical field of digital signal processing, and specifically provides a nuclear pulse amplitude extraction method based on parameter identification and a nuclear pulse analysis system, to solve the problem of the decrease in the accuracy of the energy spectrum diagram caused by the baseline drift and pulse pile-up rejection of the nuclear pulse signal, so as to improve the energy resolution and count rate of the nuclear pulse energy spectrum diagram. The present application can realize accurate capture and processing of the nuclear pulse signal, first uses a filtering method to process the original sampling sequence signal, reduces the influence of the baseline drift, then uses a parameter identification model to identify parameters and extract amplitudes of the pile-up pulses processed by the joint filtering method, and generates a high-precision spectrum diagram, so as to improve the energy resolution and count rate of the system, and provide strong technical support for the fields of nuclear physics research, nuclear energy application, and nuclear radiation detection.

The invention discloses a multipath signal judgment and suppression method. Relates to the technical field of electronic reconnaissance. According to the method, the signal envelope is calculated according to the IQ data, and the direct signal and the reflected signal have obvious difference in amplitude, so that the signal envelope is in an obvious step shape; estimating the amplitude and time delay of the multipath signal, taking a time-simple pulse signal as an example, and sampling IQ data, data envelope and a time phase curve; according to the amplitude and the time delay of the reflected signal, the reflected signal is eliminated from the received signal, the residual component is a direct signal, and intra-pulse analysis can be carried out, so that the intra-pulse modulation type identification error probability is reduced.

The invention belongs to the technical field of medical instruments, and discloses an electrical stimulation pulse control system and method of an implantable pulse generator, the system is composed of a control module, a pulse distribution module, a sensing module, a pulse analysis module and a man-machine interaction module, and the method is composed of two parts of comfort evaluation and electrical stimulation pulse adaptive adjustment. The stimulation pulse energy can be smoothly output in a gradually increasing mode according to the preset parameters, so that smooth distribution of the stimulation pulse is realized, the problem of discomfort of human tissues caused by sudden energy change in the stimulation pulse switching process is effectively solved, and meanwhile, the stimulation pulse energy can be smoothly output. According to the method, the actual operation condition of the current electrical stimulation pulse in the human tissue can be presented to a doctor in a graphic visualization mode through wireless transmission, more accurate data is provided for clinic, and the system can bring more comfortable experience to a patient while the cost is reduced.

The present application belongs to the technical field of radial artery compression hemostasis device, and particularly relates to a radial artery hemostasis method based on real-time pulse analysis and a hemostasis device control system. A slow and continuously changing force is applied to the radial artery puncture port by a pressure application module, while a pulse detection module transmits the forced feedback signal of the pulse at the puncture port to a master control module in real time. The master control module analyzes and processes the received feedback signal in real time and determines the current hemostasis state of the radial artery. Based on this, the pressure application module is controlled to adjust the pressure. The innovation of the present application lies in that the difference in the pulse feedback signal of the radial artery under different compression states is utilized, the relationship between the forced feedback signal of the pulse and the forced state of the radial artery is obtained through clinical trials, and the pressure is stabilized at a state where the radial artery blood flow is stable and the puncture port does not bleed. This scheme can overcome the individual differences between different patients and adaptively adjust the compression hemostasis force, thereby effectively reducing the incidence of radial artery occlusion and other related complications.

The invention discloses a targeted tissue ablation system, method and device and a storage medium, the system comprises a system host and an ablation electrode, the system host comprises a central processing unit, a combined pulse analysis module, a combined pulse generation module, a current sampling module, a voltage sampling module, an impedance sampling module, an interface display module and an electromagnetic isolation interface module; the combined pulse analysis module is in communication connection with the current sampling module, the impedance sampling module and the voltage sampling module. The tail end of the ablation electrode is electrically connected with the combined pulse generation module through the electromagnetic isolation interface module; a pressure sensor and a temperature sensor are integrated at the head end of the ablation electrode, and the combined pulse analysis module is in communication connection with the pressure sensor and the temperature sensor through the electromagnetic isolation interface module. According to the scheme, data acquisition is carried out through multiple sensors, and the combined pulse string is regulated and controlled based on self-adaption, so that the safety of energy use and the effectiveness of ablation are guaranteed.

The invention provides a three-dimensional pulse signal quantitative analysis method and system, and belongs to the technical field of signal processing. Through a binocular vision pulse image acquisition system, continuous contact membrane images of a traditional Chinese medicine pulse condition training instrument at a radial artery are acquired, a three-dimensional pulse signal is reconstructed, ROI region selection is performed, and a pulse condition is obtained. Obtaining a central region containing effective components of the three-dimensional pulse signal; segmenting the three-dimensional pulse signal into a plurality of two-dimensional slices by utilizing dynamic waveform slices to obtain a dynamic slice sequence; a composite sine cascade modeling model is used for fitting two-dimensional signals with sine similarity characteristics in a dynamic slice sequence, the pulse length, the pulse width and the pulse height of the pulse signals are determined, dynamic waveform slices are used, the three-dimensional pulse signals are subjected to dimensionality reduction to two-dimensional slices, the data size is reduced, and through composite sine cascade modeling, the accuracy of pulse signal processing is improved. Compared with a one-dimensional time sequence mode, the pulse analysis method has the advantage that the pulse analysis effect is effectively improved.

The invention belongs to the technical field of radar radiation source signal intra-pulse analysis, and particularly relates to an intra-pulse modulation recognition method based on a time-frequency fusion graph and a radar graph convolutional network, and the method comprises the steps: constructing a new physically interpretable graph structured representation mode of a radar signal, and comprehensively utilizing the time-frequency information of the signal to form a time-frequency fusion graph; according to the method, the deep learning-based IPMR algorithm is adopted, and a special hierarchical residual image convolution network-radar map convolution network is specifically designed, so that the method can be directly generalized to a complex multi-path time-varying channel scene, and additional retraining is not needed, and therefore, a fundamental limitation of many existing deep learning-based IPMR methods can be broken through; according to the method, training can be carried out only under the additive white Gaussian noise channel, then time-varying multipath channels with different characteristics are directly adapted, priori knowledge of the channel and retraining on target domain data are not needed, and the method has the outstanding generalization advantage.

The application belongs to the technical field of industrial equipment operation state monitoring, and provides a large low-speed heavy-load plane bearing state monitoring method fusing multi-source information; the method collects sound signals, impact signals, vibration signals and temperature signals in the bearing operation process through key parts of the bearing, carries out time alignment and feature extraction on the multi-source data, and realizes multi-dimensional representation of the bearing operation state; wherein, the bearing operation sound signals are converted into audio logarithmic atlas, a deep learning target detection model is used to identify different operation conditions and abnormal states; early bearing damage under low-speed conditions is diagnosed by combining impact pulse analysis and time-frequency analysis of vibration signals; meanwhile, a time series prediction model is constructed based on temperature data, early warning of bearing abnormal trends is realized; the analysis results of multiple models are fused to complete comprehensive online monitoring and intelligent early warning of the bearing state; the application can effectively solve the problems of low diagnosis precision and early warning lag in the prior art in low-speed heavy-load bearing monitoring, and is suitable for online monitoring and intelligent operation and maintenance of key rotating equipment in heavy industries such as metallurgy.

This application discloses a digital multichannel pulse analyzer, its zero-point calibration method, and a storage medium. The digital multichannel pulse analyzer includes: a voltage calibration source, a bias voltage source, a signal channel selection module, a signal conditioning module, and an analysis and control module. This application compares the theoretical reference value of the voltage calibration source with the average value of the corresponding digital signal acquired in multiple real-time acquisitions to generate a compensation voltage signal that is equal in magnitude and opposite in direction to the calculated deviation, thus offsetting the zero-point shift. Therefore, the zero-point shift can be quickly offset by the digital multichannel pulse analyzer's own modules without manual intervention or frequent manual adjustments, achieving automatic zero-point calibration and ensuring the most accurate baseline is obtained during signal acquisition. This improves both the absolute and relative accuracy of measurements while reducing the professional skills required for zero-point calibration, effectively avoiding measurement errors or misjudgments caused by zero-point drift.

The invention discloses a remote pulse feeling system and a remote pulse feeling instrument, and belongs to the technical field of remote medical treatment. The problem of how to further improve the accuracy of remote pulse feeling is solved. The remote pulse feeling system comprises a patient end and a medical care end, wherein the patient end comprises the following modules: a posture monitoring module, a voice prompt module and a pulse condition acquisition module; the medical care terminal comprises a pulse condition simulation module, a pulse condition amplification module, a pulse condition storage module, a pulse condition analysis module, a medical care terminal man-machine interaction module and a data transmission module. The invention further provides a remote pulse feeling instrument comprising the remote pulse feeling system. According to the method, each stage in the remote pulse feeling process is optimized, so that the precision of remote pulse feeling is greatly improved, and popularization and application of remote pulse feeling are facilitated.

The invention relates to a measuring range adjusting method of a sodium iodide gamma-ray spectrometer. The measuring range adjusting method comprises the following steps: S1, determining an adjusting direction of a measuring range; s2, setting the channel number of the multi-channel pulse analyzer, and recording the initial high voltage and the electronic gain at the moment; s3, continuously changing the electronic gains, and recording the initial high voltage corresponding to each electronic gain; s4, keeping the electronic gain unchanged, changing the high voltage according to the adjustment direction, recording the channel address where the known radioactive source is located, and establishing the relationship between the high voltage and the channel address; s5, calculating a theoretical channel address of the known radioactive source, and calculating a theoretical high voltage according to the relationship between the high voltage and the channel address; s6, keeping the electron gain unchanged, measuring the known radioactive source according to the theoretical high voltage, and outputting an energy spectrum; s7, changing the electronic gain, and repeating the steps S4-S6; s8, circularly executing the step S7, calculating the total counting rate when the energy spectrum energy is greater than or smaller than the initial range, and selecting the corresponding high voltage and electronic gain when the total counting rate is minimum. According to the invention, by establishing the relationship between the high voltage and the channel address, the target measuring range is accurately adjusted.

This invention relates to a machine monitoring system that automatically determines an optimal trigger angle for monitoring the rod descent of a reciprocating compressor and accordingly sets a trigger angle configuration value. Key pulses are monitored using a key phase sensor, the amplitude of the rod descent transducer voltage relative to time (or rotation angle) is analyzed, and the position of minimum change in the slope of the rod descent transducer voltage signal relative to the key mark is determined. The optimal trigger angle is determined based on the current time position, current speed, and configured piston angle. The optimal trigger angle is provided to the machine monitoring system for configuration. The system eliminates the need for service engineers to manually operate test instruments to test several trigger angles to determine the optimal trigger angle.

The invention relates to long tail removal in direct time-of-flight return pulse analysis. According to an embodiment, a method detects an object within a field of view of a time-of-flight sensor by processing a photon time-of-arrival profile. The method includes a current histogram generated by a time-of-flight sensor, and provides a pre-calculated nominal global pulse shape, including a reference portion and a correction portion. After fitting the reference portion to the current histogram, the method determines the location of the long tail portion using the relative positioning of the correction portion and the reference portion. The method calculates a long-tail (LT) distribution estimate and corrects a current histogram.

The invention relates to the technical field of fault monitoring, in particular to an intelligent fault detection system for a semiconductor discharge tube, which comprises a data acquisition module; the level analysis module is used for determining the fault level of the semiconductor discharge tube according to the fault reference value; the strategy processing module is used for determining a fault processing strategy according to the fault level; the second-stage fault analysis module is used for carrying out fault analysis on the semiconductor discharge tube with the second-stage fault; and the pulse analysis module is used for determining to carry out fault early warning or carrying out early warning analysis according to the loop parasitic inductance according to the flat top voltage fluctuation amplitude of the pulse test and the signal abnormal response value under the condition that the pulse test is completed. According to the invention, the fault detection precision of the semiconductor discharge tube can be improved.

This invention relates to the field of marine environmental monitoring technology and discloses a marine water microplastic particle monitoring system and method. The method includes: acquiring a three-mode synchronous signal data stream; generating an event window marker sequence based on forward scattering pulse analysis; performing sparse deconvolution separation on photoacoustic signals within multiple overlapping event windows; extracting particle physical parameters; using the particle number as a hard constraint for the number of components and the volume percentage weight vector converted as an abundance coefficient constraint, performing constrained nonnegative matrix factorization on the overlapping stimulated Raman spectra; performing reconstruction verification; merging the identification results and calculating the concentration.