26 results about "Abnormal pulse" patented technology

The invention provides a ballastless track joint performance degradation monitoring method and system, and relates to the technical field of track joint performance monitoring, and the method comprises the steps: knocking a ballastless track plate at a track joint through a force hammer to generate excitation, collecting a vertical vibration acceleration response signal through an acceleration sensor, and synchronously recording the knocking time and static parameters. The vertical vibration acceleration response signal is preprocessed, abnormal pulses and baseline drift are removed, a vibration event sample is formed, and joint mechanics characteristic parameters including a vibration frequency parameter reflecting rigidity degradation and a vibration attenuation parameter reflecting damping are extracted. According to the method, the joint performance evaluation index is calculated in combination with the static parameters, the degradation grade is evaluated after the evaluation index is compared with the preset threshold value, an early warning signal is triggered, the joint degradation grade and position information are provided, and monitoring and evaluation of the joint performance are achieved.

The invention discloses an abrasive particle monitoring method and device and electronic equipment, and belongs to the field of monitoring methods, and the method comprises the steps: collecting a to-be-detected signal based on each probe in an electrostatic sensor; performing variational mode decomposition processing on the to-be-detected signal to obtain a target eigenmode function corresponding to the to-be-detected signal; performing sparse representation based on the target eigenmode function to obtain a target signal corresponding to the to-be-detected signal; performing dynamic time warping on each group of target delay signals by using a sliding window to obtain similarity results respectively corresponding to each group of target delay signals; and if a wave crest meeting a preset condition exists in the sequence diagram presented by the similarity result, determining the number of the abrasive particles according to the wave crest, and obtaining an abrasive particle monitoring result. Through the method, the abrasive particle trigger signal is effectively extracted, the interference of abnormal pulses on abrasive particle identification is reduced, and the accuracy of abrasive particle identification is improved.

This invention relates to the field of photoelectric detection and performance monitoring technology, specifically to a real-time performance verification system for a safety light curtain based on pulse feedback. The system performs the following steps: based on the changes in the effective photon count of each pulse of the safety light curtain, the effective photon count of pulses whose decrease in effective photon count is due to transient interference is smoothed to obtain a photon transmission efficiency time series; based on the photon transmission efficiency time series, a dynamic derivative curve of the pulse edge is established, and pulses within a period where the core parameter of the dynamic derivative curve at the pulse edge continuously changes in a second-order direction towards the target direction are identified as abnormal pulses; each key time node of the abnormal pulse is determined; based on the changes in the differences between each key time node, the fault cause corresponding to the abnormal pulse is located, thus improving the accuracy of real-time performance monitoring of the safety light curtain.

The application provides a health monitoring method and system based on a smart watch, relates to the technical field of health monitoring, and converts a heart rate signal into heart rate data, and then obtains heart rate variability of a smart watch user in a resting state; pulse data of the smart watch user in the resting state is acquired, abnormal pulse data is removed, and the abnormal pulse data is removed to obtain pulse data after removal of abnormalities, and the pulse variability of the smart watch user in the resting state is determined based on the pulse data after removal of abnormalities; the health monitoring coefficient of the smart watch user in the resting state is determined according to the heart rate variability and the pulse variability; historical normal physiological data is acquired, and the normal health interval is determined based on the historical normal physiological data; and the health state of the smart watch user is monitored and warned according to the health monitoring coefficient and the normal health interval. The application can effectively improve the quality of monitoring data, and quantifies the health state of the user based on physiological indexes, so as to improve the user experience of the smart watch.

This application belongs to the field of display driving technology, specifically relating to an overcurrent protection method, an overcurrent protection device, and a display panel. The method includes acquiring the pulse peak value and the target occurrence time corresponding to the pulse peak value in the current sampling sequence; calculating the descent slope of the current sampling sequence based on sampling points within a preset time window after the pulse peak value; monitoring the recovery time when the pulse peak value in the current sampling sequence drops to a preset normal current value, and calculating the recovery time from the target occurrence time to the recovery time; determining that the driving current is abnormal when the absolute value of the descent slope is less than a preset slope threshold and / or the recovery time is greater than a preset duration threshold. This application improves the detection accuracy of pulse current in high scan rate mode through a collaborative working mechanism of descent slope detection and recovery time detection, avoiding damage to the polarizer due to continuously high abnormal pulse current, thereby ensuring the safety and reliability of the display panel.

The invention discloses an atrial fibrillation detection method, device and equipment based on non-invasive blood pressure pulse waves, and the method comprises the steps: detecting the average pressure in the pressurization process, collecting pulse wave signals under the detected average pressure, carrying out the pulse wave detection, and obtaining a candidate pulse wave sequence; performing quality analysis on the candidate pulse wave sequence to obtain an effective pulse wave sequence, performing waveform clustering on the effective pulse wave sequence to remove isolated abnormal pulse waves to obtain a target pulse wave sequence, and extracting a gap sequence and an amplitude sequence based on the target pulse wave sequence; whether a dominant interval rhythm exists in the gap sequence or not is judged based on clustering analysis, and if the dominant interval rhythm does not exist, the possibility of atrial fibrillation exists; whether a dominant amplitude trend exists in the amplitude sequence or not is judged based on clustering analysis, and if the dominant amplitude trend does not exist, the possibility of atrial fibrillation exists; if the interval deviation is larger than a first threshold value and the amplitude deviation is larger than a second threshold value, it is judged that atrial fibrillation occurs. The method can adapt to the average arterial pressure interval, improves the overall quality of the collected data, and remarkably improves the accuracy and anti-interference capability of atrial fibrillation detection.

The invention relates to the technical field of water flow sensors, and provides a flow calculation method for a rotating disc type water flow sensor, and the flow calculation method comprises the steps: continuously obtaining a pulse sequence generated when a photoelectric sensor detects the perforation of a rotating disc, and calculating the time interval between adjacent pulses; based on the change characteristics of the time interval, the rotation state of the turntable is identified, and the rotation state comprises normal rotation, inertial rotation, reverse rotation or stagnation; based on the statistical characteristics of the time interval, the flowing state of the water flow is judged, and the flowing state comprises stable flowing, sudden flowing or intermittent flowing; according to the combination of the rotating state and the flowing state, effective pulses are dynamically selected from the pulse sequence, abnormal pulses are removed, and different pulse screening strategies are adopted for different state combinations; and based on the screened effective pulse sequence, flow integral calculation is carried out in combination with the time interval, and a final water flow value is output.

The application discloses an explosion-proof industrial field remote hierarchical linkage control and self-diagnosis method and system, and relates to the field of industrial control systems.The method comprises the following steps: collecting equipment operation state data under an explosion-proof working condition, and generating equipment state configuration information; constructing a regional cooperative response expression based on the equipment state configuration information, and generating a linkage trigger judgment signal and a distributed linkage scheduling target; generating a remote control execution instruction according to the above and issuing the remote control execution instruction; combining historical state prediction and real-time comparison to extract abnormal pulse response information, and dynamically adjusting a control right strategy factor.Through equipment state configuration expression, regional cooperative response modeling and risk propagation driven control right strategy adjustment, the explosion-proof industrial field equipment state recognition precision, remote hierarchical linkage control reliability and linkage strategy self-adaptive capability are improved.

The application discloses a radar individual sorting method and device, a storage medium and equipment. The method comprises the following steps: first, dividing a radar pulse sequence into P beats; obtaining a feature parameter vector of a preset dimension of each pulse description word in the nth beat; then, performing clustering processing to obtain an abnormal clustering cluster and M effective clustering clusters contained in the nth beat; then, constructing a mixed Gaussian model corresponding to each of the M effective clustering clusters; selecting a target abnormal pulse description word from the abnormal clustering cluster in sequence to calculate a maximum likelihood score of the target abnormal pulse description word in the M mixed Gaussian models; then, selecting a maximum score and judging whether the maximum score is higher than a preset first threshold; if yes, sorting the target abnormal pulse description word into an effective clustering cluster corresponding to the maximum score; if no, sorting the target abnormal pulse description word into the abnormal clustering cluster; and the same is repeated until sorting results of all pulse description words in the P beats are obtained, so that the sorting accuracy is effectively improved.

The application discloses a kind of wind turbine speed signal analysis method and system based on flange bolt, the method includes the following steps: based on flange bolt collection pulse basic information;Judge whether the first pulse pulse width exists abnormal condition;Accumulate original pulse information, identify abnormal condition in original pulse information, and correct pulse width variation anomaly;The proportion of abnormal pulse is counted and calculated;Identify the pulse characteristics in accumulated original pulse information, obtain N normal pulse signals according to pulse characteristics, use the N normal pulse signals instead of single pulse period to calculate initial impeller speed;Extract the pulse that meets preset period, add in impeller speed calculation;The probability of occurrence of various abnormal characteristics in speed is counted;The application corrects various abnormal signals, filters out normal bolt pulse signal, to improve the accuracy of speed calculation, reduce the abnormal fluctuation of speed caused by interference factor, provide more accurate data analysis for wind turbine.

The invention relates to the technical field of motor driver monitoring, and discloses a motor driver anomaly detection method and device, equipment and a medium. The method comprises the following steps: acquiring a power supply dimension parameter, a pulse dimension parameter and an equipment dimension parameter of a motor driver; comparing the power supply dimension parameter, the pulse dimension parameter and the equipment dimension parameter with corresponding parameter thresholds capable of adaptively changing, so as to determine a corresponding abnormal power supply dimension parameter, an abnormal pulse parameter and / or an abnormal equipment parameter based on a comparison result; based on a preset parameter association rule, performing association analysis on the abnormal power supply dimension parameter, the abnormal pulse parameter and / or the abnormal equipment parameter to obtain a corresponding association analysis result; and generating an anomaly detection result for the motor driver based on the correlation analysis result and the abnormal power supply dimension parameter, the abnormal pulse parameter and / or the abnormal equipment parameter. According to the method, the deep processing performance of the detection parameters and the correlation analysis performance of complex faults can be improved.

The application discloses a kind of infusion blockage control method, system and device based on multi-angle photoelectric scattering.The method sets up multi-angle photoelectric detection component outside infusion tube, by collecting the reference light intensity under the state of no bubble, the relative change of each receiving channel relative to reference light intensity is calculated in real time;Extract multi-dimensional optical disturbance features including scattering enhancement, channel difference, duration, abnormal pulse number and optical disturbance integral;Under the condition of not depending on flow rate measurement, according to the disturbance feature, the equivalent bubble volume parameter is calculated, and the single bubble grade is determined;Using sliding time window statistics accumulative bubble load;When it is determined that there is dangerous bubble or accumulative load is over limit, drive block execution module to block infusion tube, and automatically restore infusion after meeting reset condition.The application does not need additional flow rate sensor, has strong anti-interference, can realize the accurate grading of bubble size and accumulative risk assessment, and the block is reliable and has safety reset mechanism.

The application provides a ballastless track joint performance deterioration monitoring method and system, and relates to the technical field of track joint performance monitoring, which comprises the following steps: exciting a ballastless track slab at a track joint by knocking the track joint with a force hammer, collecting a vertical vibration acceleration response signal by using an acceleration sensor, and synchronously recording a knocking time and a static force parameter; preprocessing the vertical vibration acceleration response signal, removing abnormal pulses and baseline drift, forming a vibration event sample, and extracting joint mechanical characteristic parameters, including a vibration frequency parameter reflecting stiffness deterioration and a vibration attenuation parameter reflecting damping; combining the static force parameter to calculate a joint performance evaluation index, comparing the joint performance evaluation index with a preset threshold to evaluate a deterioration grade, triggering a warning signal, providing joint deterioration grade and position information, and realizing monitoring and evaluation of the joint performance.

The application relates to the motor driver monitoring technical field and discloses a motor driver anomaly detection method, device, equipment and medium. The method comprises the following steps: acquiring power dimension parameters, pulse dimension parameters and equipment dimension parameters of a motor driver; comparing the power dimension parameters, the pulse dimension parameters and the equipment dimension parameters with corresponding self-adaptive changeable parameter thresholds respectively, so as to determine corresponding abnormal power dimension parameters, abnormal pulse parameters and / or abnormal equipment parameters based on comparison results; based on a preset parameter correlation rule, performing correlation analysis on the abnormal power dimension parameters, the abnormal pulse parameters and / or the abnormal equipment parameters to obtain corresponding correlation analysis results; and based on the correlation analysis results and the abnormal power dimension parameters, the abnormal pulse parameters and / or the abnormal equipment parameters, generating an anomaly detection result for the motor driver. The application can improve the deep processing performance of detection parameters and the correlation analysis performance of complex faults.

The invention discloses a blade tip timing abnormal pulse data online detection and repair method, system, medium and equipment, and the method comprises the steps: installing a blade tip timing sensor on a rotor blade casing in the circumferential direction, and collecting a pulse arrival time sequence generated when a rotor blade passes through the blade tip timing sensor; based on a passing pulse arrival time sequence collected by a tip timing sensor, the ratio of adjacent pulse time intervals is calculated, and whether abnormal pulses including data loss pulses or repeated sampling pulses exist or not is judged; repairing the data points which are judged to be abnormal pulses by adopting an interpolation calculation or data rejection method to obtain a repaired pulse arrival time sequence; and calculating the passing frequency and the rotating frequency of the rotor blade according to the repaired pulse arrival time sequence, and constructing a pulse quality evaluation index based on the number of the abnormal pulses to represent the data quality and the repair effect.

Disclosed is a cardiovascular health management system including a communication module that receives biometric information of a user including information about a heartbeat, and a processor that generates cardiovascular monitoring and prediction information based on the received biometric information. The processor analyzes the biometric information and records a time at which an abnormal pulse is detected, heartbeat information at a corresponding time, and state information of the user when the abnormal pulse is detected, provides a user terminal with a number of times that the abnormal pulse occurs during a predetermined time, and provides a phased notification to the user terminal depending on the number of times that the abnormal pulse occurs.

The invention discloses a pulse neural network model fault tolerance method based on dynamic neurons, and the method belongs to the technical field of neural network models, takes the pulse distribution of a model under a fault-free condition as a reference baseline, and carries out the continuous monitoring of the pulse peak number and time sequence characteristics of each channel of each layer in an operation process. And when a serious anomaly is detected, targeted adjustment is performed on a key channel through a dynamic neuron parameter iteration mechanism, so that diffusion and accumulation of abnormal pulses are effectively inhibited. According to the method and the device, fault tolerance enhancement is realized on the premise of not introducing redundant weight storage and not depending on an additional hardware module.

The invention discloses a leakage detection method for an intelligent water meter, and relates to the technical field of intelligent water meter detection.The leakage detection method comprises the steps that a pulse signal of the intelligent water meter is obtained, a detection period is determined, and a pulse time sequence in the detection period is recorded; determining an abnormal time sequence interval based on the pulse time sequence in the detection period, obtaining the duration of the abnormal pulse time sequence, and analyzing the abnormal fluctuation of the operation time sequence of the intelligent water meter; by determining operation flow data corresponding to a pulse signal of the intelligent water meter, abnormal operation flow data of the intelligent water meter in a detection period is determined, and abnormal fluctuation of the operation flow of the intelligent water meter is analyzed; in combination with the operation time sequence stability and the operation flow volatility of the intelligent water meter in the detection period, an operation situation distribution diagram is constructed to carry out abnormal leakage assessment analysis on the intelligent water meter, and the leakage state is output; according to the invention, the water leakage characteristics in a complex scene can be dynamically identified, and the accuracy and high accuracy of leakage detection are improved.

This invention discloses a fuel dispenser calibration device, method, and storage medium, comprising the following steps: establishing a continuous potential change capture path between the fuel dispenser nozzle and the flow pipeline; real-time detection of ground potential fluctuations; and writing the detected ground potential changes into a time-distributed trajectory in chronological order to generate a potential evolution baseline; based on the generated potential evolution baseline, synchronously mapping the fuel dispenser's flow signal acquisition process, and matching potential abrupt change nodes in the potential evolution baseline with flow signal changes in the time-distributed trajectory. This invention, by introducing a potential evolution baseline to constrain the time structure of the flow signal, ensures the continuous and stable progress of fuel volume, avoiding non-physical abrupt changes caused by electrostatic interference. By identifying and removing abnormal pulse signals, it achieves a pure progression of the flow signal, ensuring long-term stability and high reliability of calibration data under various operating conditions.

The invention discloses a water volume detection method for a pressure cooker water cooling system and a pressure cooker, the water cooling system comprises a water tank, a water pump, a circulating waterway and a cooling bin, the circulating waterway is communicated with the water tank and the cooling bin, and the circulating waterway comprises a water supply waterway and a water return waterway; the detection method comprises the steps that pulse signals are obtained; the detection part generates the pulse signals based on the flow in the circulating water path, wherein the pulse signals comprise normal pulse signals, non-pulse signals and abnormal pulse signals; the normal pulse signal is a continuous pulse signal with stable pulse frequency, and the abnormal pulse signal comprises at least one of a pulse signal with fluctuated pulse frequency and a discontinuous pulse signal; when the detection piece generates abnormal pulse signals and no pulse signals, water shortage early warning is sent out. The detection piece can output three different types of pulse signals according to different fluid media, so that a water adding prompt is sent to a user in time, the water quantity of the water cooling system is detected more timely, and the condition that a water pump idles can be avoided to a greater extent.

The invention relates to the technical field of motors, in particular to an encoder pulse error self-adaptive compensation method for a permanent magnet synchronous motor, which comprises the following steps of: acquiring orthogonal pulses, reference pulses, Hall state signals and phase current of an incremental encoder, and sampling according to a sampling period; counting orthogonal pulse edges, judging the turning direction according to the phase sequence, determining the increase or decrease of the counting, and updating the cumulative counting; calculating displacement increment and speed according to adjacent counts and integrating to obtain a mechanical angle; calibrating the counts and the angle and converting an electrical angle when detecting a reference pulse; when the states are switched, the cumulative counts of the two times of switching are subtracted to obtain a pulse variable quantity; the pulse error is compared with an expected range, a margin is added to form a criterion, and the pulse error is judged in an over-limit mode; when an error occurs, switching to Hall electrical angle feedback, differentiating to obtain a Hall speed, and performing discrete integral correction to obtain speed estimation; and completing coordinate transformation and current regulation based on the electrical angle to drive an inverter, monitoring the variable quantity, and switching back to the coded electrical angle after continuous normality. According to the invention, the problem of pulse loss or abnormal pulse in vector control of the permanent magnet synchronous motor is solved.

This invention belongs to the field of well logging control technology, specifically relating to a TNIS Plus control method for thermal neutron imaging saturation logging. Applied to a well logging system including a remote transmission sub, an acquisition sub, and a high-pressure control sub, the method initiates initialization and magnetic positioning calibration by issuing a start command, performs magnetic temperature normalization, and controls the neutron generator to emit thermal neutron beams according to a dynamic pulse timing sequence. The high-pressure control sub provides the anode voltage. Based on timestamps, a multi-detector timing acquisition window is triggered, and sliding integration, energy spectrum layering filtering, and abnormal pulse shielding are performed on the detection data to form structured measurement subframes, which are then encapsulated and uploaded. When a high air recovery rate is detected, compensation sampling logic is automatically triggered to extend the sampling window and adjust the voltage threshold, improving the signal-to-noise ratio and spectral quality. This method achieves high-precision acquisition and stable transmission of well logging data, providing a reliable data foundation for formation water saturation inversion.

The present application relates to radar technology field, specifically to a kind of efficient ISAR translation envelope compensation method based on iterative updating, first construct the target echo complex matrix X of ISAR and envelope matrix then construct reference pulse number set, and calculate the total correlation level of pulse in set and other pulses, to determine reference pulse η, by calculating the correlation coefficient vector of reference pulse and other pulses and carrying out fitting processing, construct update weight coefficient vector E, based on this to reference pulse η as center to both ends are carried out pulse envelope offset estimation and compensation, to avoid the damage of abnormal pulse to reference envelope, improve environmental adaptability, by set overall pulse information to determine reference pulse iterative updating compensation, realize the fusion of local information and global information, improve the robustness of processing.The present application has the advantages of small amount of computation, easy to engineering implementation, effectively ensure the real-time updating of reference envelope and the efficient, robust realization of ISAR translation envelope compensation.

The application discloses a production line packaging flaw intelligent diagnosis system based on high-speed vision and edge calculation, which comprises the following modules: a time domain feature construction module, which calculates original pixel gray extremum to construct a time domain feature vector; a high-frequency extremum monitoring module, which performs extremum checking on the vector to output a physical trigger level; a local material interception module, which intercepts local breakpoint pixel material flow in response to the trigger level; a microscopic slice generation module, which generates a microscopic image slice by two-dimensionally recombining the material flow; a physical space reconstruction module, which extracts an abnormal pulse count value and converts it into a position embedding code array; an input tensor fusion module, which fuses the slice and the embedding code array to construct a three-dimensional input tensor; a spatial bias diagnosis calculation module, which outputs a defective flaw probability vector through the tensor; and a production line intervention module, which generates a control instruction according to the probability vector to feed back a rejection mechanism. The application solves the problems of real-time response deficiency and resource redundancy caused by centralized transmission and processing delay in high-speed production line vision detection.

The invention relates to the technical field of information security, and discloses a secure communication system based on a micro base station, which comprises a micro base station cluster, user equipment and integrated pulse coupled oscillator modules. The system performs pulse coupling synchronization through a control channel; when node energy accumulation reaches a fire energy threshold, a fire pulse and an identification pulse sequence are broadcasted, and a receiving node adjusts a phase and accumulates energy to global phase synchronization; collecting a neighbor identifier pulse sequence in a local pre-firing energy window, and constructing a local topology fingerprint vector; information is extracted from the firing sequence interval, the final phase deviation and the local topology fingerprint vector, and a shared key is used for symmetrically encrypting and decrypting main radio frequency channel data; and when environment disturbance or abnormal pulse is detected, synchronization is restarted, and a key is derived again, so that dynamic refreshing is realized. And the user equipment participates in synchronous generation of a consistent key after monitoring a control channel capture pulse. The system does not need a traditional key exchange protocol, and is suitable for a low-power-consumption dense deployment scene.

This invention discloses a wheel speed signal self-calibration method based on spoke topology prior, belonging to the field of signal correction technology. By introducing spoke topology prior to generate an ideal pulse timing template, the method performs distribution deviation detection on the measured pulse sequence to accurately identify abnormal pulse segments. Based on this, it limits the candidate time interval for missing pulses. Furthermore, by combining the extraction of variation features of the original magnetic response signal and rhythm consistency constraint screening, the position of pulses not identified by the normal decision chain is structurally reconstructed. This enables effective correction of pulse distortion and pulse missingness to address the magnetic field distortion problem caused by the small number of spokes and the small tooth groove depth-to-width ratio. It avoids deviations or jumps in wheel speed calculation results, improves the accuracy of speed statistics, and enhances the stability and reliability of the vehicle control strategy.