24 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 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 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.

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 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 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 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.

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.

According to an embodiment, a method detects objects within a field of view of a time-of-flight sensor by processing photon arrival time distributions. The method obtains a current histogram generated by the time-of-flight sensor and provides a pre-computed nominal global pulse shape, including reference and correction parts. After fitting the reference part to the current histogram, the method determines the position of a long tail part using the relative positioning of the correction part to the reference part. The method calculates the long tail (LT) distribution estimate and corrects the current histogram.

The invention relates to the technical field of generator set condenser cooling pipe leakage detection, and discloses a condenser leakage pipe positioning system and method based on sound wave pulse reflection, and the positioning system comprises a mechanical positioning module and a monitoring and control module. The mechanical positioning module comprises a vertical guide rail, a horizontal guide rail, a cross-shaped moving sliding block, a vertical lifting motor, a horizontal transverse moving motor and a vertical moving motor, wherein the vertical guide rail, the horizontal guide rail and the cross-shaped moving sliding block can be arranged in a condenser water chamber, the vertical lifting motor is used for driving the horizontal guide rail, and the horizontal transverse moving motor and the vertical moving motor are used for driving the cross-shaped moving sliding block. The monitoring and control module comprises a sound wave pulse monitoring system, a liquid level control unit and a water quality monitoring unit; the sound wave pulse monitoring system comprises a sound wave pulse sensor and a sound wave pulse analysis unit electrically connected with the sound wave pulse sensor, and the sound wave pulse sensor is connected with the cross-shaped moving sliding block. The limiting point position of the condenser cooling pipe is determined by using a secondary positioning mechanism, so that the accuracy and the safety are improved.

Systems and methods for a quantum computing device are provided. In one example, a method may include implementing, by a quantum computing system, a train of microwave pulses in a microwave control signal for qubits of the quantum computing system, the train of microwave pulses 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 the Rabian oscillations of the qubits. The method may include modifying, by the quantum computing system, one or more control signals for qubits of the quantum computing system based at least in part on a Fourier parameter.

The invention discloses an FPGA, method and system for drawing an energy spectrum diagram of a digital nuclear spectrometer, and belongs to the technical field of nuclear radiation detection. The FPGA comprises a signal preprocessing module, a pulse characteristic event extraction module, a pulse characteristic event analysis module and an energy spectrum drawing module; comprising the steps of signal preprocessing, pulse characteristic event extraction, pulse characteristic event analysis, energy spectrum drawing and the like, and efficient and accurate processing of pulse signals is achieved. And meanwhile, a pulse analysis method based on an event stream is adopted to replace a traditional trapezoidal shaping algorithm, so that the robustness of the system to pulse accumulation and noise interference is remarkably improved. The system supports multi-channel synchronization, hardware accords with judgment and a standardized interface, and has high integration level, high real-time performance and strong expansibility.

This invention relates to the field of data transmission technology for lithography machines, and discloses an ultra-high-speed distributed data transmission synchronization system for direct-write lithography machines. The system includes a dynamic exposure pulse analysis module, which constructs a distributed transmission delay calculation model based on historical operating data, collects data such as laser trigger pulse sequences in real time, and outputs theoretical transmission synchronization values; a multi-channel timing offset detection module compares theoretical values ​​with actual transmission timings from multiple dimensions to generate a node-level multi-channel timing offset matrix; a spatial topology mapping module combines physical location and link impedance parameters to generate a probability distribution cloud map of timing anomaly propagation paths to locate high-latency regions; and a dynamic bandwidth allocation module configures transmission strategies accordingly, enabling redundant channels for parallel transmission in high-latency regions and implementing dynamic clock offset compensation for adjacent nodes, effectively improving the synchronization stability and transmission efficiency of data transmission.