48 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 auxiliary pulse diagnosis tool and method based on traditional Chinese medicine pulse perception, and belongs to the technical field of traditional Chinese medicine diagnosis information processing. The auxiliary pulse diagnosis tool comprises a signal acquisition module, a signal preprocessing module, a signal processing module, an identification analysis module, a pulse condition data storage module and an intelligent diagnosis module. According to the invention, real-time high-precision acquisition of three-channel pulse signal data of cun, guan and chi pulses and identification and analysis of pulse conditions of different parts are realized, and doctors are effectively assisted in pulse diagnosis; the multi-scale discriminant subsequence distance measurement method designed by the invention is used for automatic classification and recognition of interpretable pulse signals, and solves the problems that an existing pulse signal classification and recognition method mostly adopts features of a single mode, the pulse signals cannot be comprehensively described, sub-segments with discriminant ability cannot be extracted for disease prediction tasks, and the recognition efficiency is low. The abnormal pulse signal position cannot be positioned, the result is not interpretable, and clinical application is difficult.

The invention discloses a method for calculating a radiation dose rate based on pulse counting, which is used for filtering the influence of a large pulse generated under the condition of jitter or other interference in a dose rate calculation process on dose rate jitter calculation, and can effectively reduce the dose rate jitter caused by the interference. Meanwhile, pulse increase or decrease caused by normal rapid increase or decrease of radiation is responded in time, dose rate output is rapidly calculated, that is, when the radiation is rapidly increased or decreased, the dose rate change time is shortened, and therefore the current dose rate level is displayed more timely and stably; through the method provided by the invention, the calculation of the dose rate can effectively filter abnormal pulses and reduce fluctuations, and meanwhile, when the radiation intensity changes quickly, quick response can be realized, the timeliness of dose rate calculation can be improved, the stability and accuracy of dose rate output can be ensured, and reliable data support can be provided for safe operation in a nuclear radiation environment.

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.

The invention discloses a pulse condition data processing method and system for remote pulse feeling, and relates to the technical field of data processing.The method comprises the steps that the sampling frequency of a pulse detector is adjusted in real time through a dynamic iterative sampling method, and real-time pulse signals of a patient are obtained; sending the real-time pulse signal to a remote work station, so that the remote work station analyzes a pulse waveform curve of the patient in at least one state according to the real-time pulse signal, inputs the pulse waveform curve of the patient into a prediction model, outputs a pulse abnormal value, sets a pulse abnormal threshold value, and sends the pulse abnormal value to the remote work station; and judging whether the pulse waveform curve of the patient is abnormal or not so as to remind the patient. According to the method, the real-time pulse signals of the patient can be collected through dynamic iterative sampling, data analysis is conducted on the real-time pulse signals of the patient, whether the pulse waveform curve of the patient is abnormal or not is judged, and the patient is helped to better know the pulse state of the patient.

Embodiments of the present disclosure provide a method and an apparatus for monitoring a system clock signal. The apparatus comprises: a toggle detector configured to monitor whether the system clock signal is toggling; an abnormal pulse detector configured to, in response to the system clock signal being toggling, utilize a reference clock signal to count the number of periods of the system clock signal within a predetermined time limit and monitor whether the number of periods is beyond a predetermined range, the reference clock signal having a frequency higher than the system clock signal; and a frequency drift detector configured to, in response to the system clock signal being toggling, detect a phase error between the system clock signal and a delay clock signal delayed from the system clock signal, determine a frequency drift based on the phase error, and monitor whether the frequency drift exceeds a predetermined drift limit.

The invention discloses a wind turbine generator rotating speed signal analysis method and system based on a flange plate bolt, and the method comprises the following steps: collecting pulse basic information based on the flange plate bolt; judging whether the pulse width of the first pulse is abnormal or not; accumulating the original pulse information, identifying abnormal conditions in the original pulse information, and correcting pulse width change abnormity; counting and calculating the proportion of the abnormal pulses; pulse characteristics in the accumulated original pulse information are identified, N normal pulse signals are obtained according to the pulse characteristics, and the N normal pulse signals are used for replacing a single pulse period to calculate the initial impeller rotating speed; extracting pulses meeting a preset period, and adding the pulses into impeller rotating speed calculation; the occurrence probability of various abnormal features in the rotating speed is counted; according to the method, various abnormal signals are corrected, and normal bolt pulse signals are screened out, so that the accuracy of rotating speed calculation is improved, rotating speed abnormal fluctuation caused by interference factors is reduced, and more accurate data analysis is provided for a wind turbine generator.

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 present invention discloses a method, system, electronic device and storage medium for correcting water flow rate. The method for correcting water flow rate includes: determining a first number of normal pulses and a second number of abnormal pulses in a flow pulse according to the pulse width of the flow pulse; judging whether it is necessary to correct the water flow rate detection result according to the first number and the second number; if it is necessary to correct the water flow rate detection result, determining a water flow rate correction value and correcting the water flow rate detection result according to the water flow rate correction value. The present invention determines normal pulses and abnormal pulses through the pulse width, and then judges whether the water flow rate detection result needs to be corrected according to the number of normal pulses and the number of abnormal pulses. If correction is needed, the water flow rate detection result is corrected according to the water flow rate correction value, so as to obtain a more accurate water flow rate detection result that can better reflect the actual water flow situation.

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.

The invention discloses a discharge monitoring system for a high-voltage switch cabinet, relates to the technical field of high-voltage switch cabinets, and solves the related problem of corresponding discharge monitoring precision caused by electromagnetic interference. Discharge data are monitored in real time, if corresponding monitoring data exist, corresponding periodic data are determined, and the corresponding periodic data are sent to the high-voltage switch cabinet; the method comprises the following steps: acquiring periodic data, performing trend analysis on the periodic data, evaluating whether an abnormal pulse exists in a corresponding signal pulse waveform, determining a corresponding waveform frequency based on a normal waveform existing in the corresponding pulse waveform, and adjusting and limiting the waveform frequency of a monitoring end, so that the interference degree of a subsequently monitored signal waveform is reduced to the minimum. Therefore, a better discharge monitoring effect is achieved, and the precision of discharge monitoring can be effectively guaranteed.

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 invention provides a PWM signal processing method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving a first PWM signal and a second PWM signal which are subjected to dead zone configuration, and determining a target mode corresponding to a level state composed of the two signals from at least one predefined mode, each mode represents a group of specific level state combinations; and then, based on a pre-configured output rule, determining an output mode corresponding to the target mode, and performing output processing on the first PWM signal and the second PWM signal according to the output mode. According to the invention, the abnormal pulse mode can be monitored and processed in real time.

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 embodiment of the invention discloses a touch operation type detection method and device, electronic equipment and a storage medium, according to different follow-up changes of a vibration signal generated when normal writing operation starts and a vibration signal corresponding to an abnormal pulse, namely, the vibration signal generated by the normal writing operation is gradually reduced; the attenuation of the vibration signal corresponding to the abnormal pulse is suddenly changed, after the preliminary confirmation of the writing operation is completed, continuing to cache a section of subsequent vibration signal as a verification vibration signal, carrying out intensity change statistics on the verification vibration signal, and when the result of the intensity change statistics reaches a preset writing intensity threshold value, carrying out verification on the verification vibration signal; and confirming that the writing operation is detected. Therefore, the writing medium type which needs to be confirmed when the writing operation really occurs in the vibration signals generated in the writing operation process can be accurately distinguished, false detection of the writing medium type is eliminated, display mutation of handwriting attributes in the writing process is correspondingly avoided, and stability and accuracy of handwriting display in the writing process are improved.

The present application relates to the technical field of power quality monitoring, and particularly relates to a method and system for rapidly positioning abnormal fluctuations of electric meter data, which comprises the following steps: collecting three-phase voltage data and synchronously measuring the power grid fundamental frequency, generating a one-dimensional three-phase instantaneous projection sum, using a half-cycle sliding window that only contains historical sampling time and whose length is adaptively updated according to the power grid fundamental frequency to construct a historical mean reference, calculating the instantaneous relative offset, further solving the window disturbance energy and the correlation energy of the short-time window for the instantaneous relative offset, and fusing the stability features that can distinguish abnormal pulses and background noise to complete abnormal interval identification, interval merging and noise filtering processing and output abnormal alarm information relying on the noise threshold adaptively set by the normal operation data of the equipment. The present application combines adaptive window and double-feature fusion discrimination technology to accurately identify noise and arc fault, and greatly improves the power grid abnormal detection performance.

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 invention relates to the technical field of data exception supervision, and discloses a public data authorization supervision method and system, and the method comprises the steps: carrying out the second-level granularity sampling of a public data stream obtained in advance, so as to obtain an original time sequence data set of the public data stream, carrying out the sovereign label binding of the original time sequence data set, and carrying out the second-level granularity sampling of the original time sequence data set; the method comprises the following steps: acquiring an original time sequence pulse data set of a public data stream to obtain a sovereignty time sequence data set of the original time sequence pulse data set, performing abnormal pulse detection on the sovereignty time sequence data set based on a preset verification rule to obtain an abnormal waveform fragment of the public data stream, and performing feature correlation analysis on the sovereignty time sequence data set and the abnormal waveform fragment to obtain a characteristic correlation result of the abnormal waveform fragment. The method comprises the following steps: acquiring a composite characteristic waveform of a common data stream to obtain the composite characteristic waveform, and carrying out biaxial alignment analysis on the composite characteristic waveform and the common data stream to obtain a full-link violation waveform graph of the common data stream, so that a common data supervision system can carry out more accurate supervision when encountering abnormal data, which becomes an urgent problem to be solved.

The present application provides a test method and a test device. The method can be applied to the technical field of detection. The method comprises: acquiring a pulse sequence in a real failure scene of a control link of a laser emitting unit, the pulse sequence comprising an abnormal pulse; controlling the laser emitting unit to emit a pulse sequence capable of simulating the real failure scene, and determining an accessible emission limit and the energy of the abnormal pulse; and on the basis of the determined accessible emission limit and the determined energy of the abnormal pulse, determining whether the pulse sequence in the real failure scene can meet a human eye safety requirement. Embodiments of the present application can be used for performance evaluation of laser products, such as laser radars, of new energy vehicles or intelligent driving vehicles, and can estimate whether laser products, such as laser radars, meet a human eye safety requirement in a failure scene.

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.

The invention relates to the technical field of radars, in particular to an efficient ISAR translation envelope compensation method based on iterative updating, which comprises the following steps: firstly, constructing a target echo complex matrix X and an envelope matrix of an ISAR, then constructing a reference pulse sequence number set, and calculating the total correlation level of pulses in the set and other pulses so as to determine a reference pulse eta; according to the method, correlation coefficient vectors of a reference pulse and other pulses are calculated and subjected to fitting processing, an updated weight coefficient vector E is constructed, pulse-by-pulse envelope offset estimation and compensation are carried out on the two ends by taking the reference pulse eta as the center based on the updated weight coefficient vector E, and therefore damage of abnormal pulses to a reference envelope is avoided, the environmental adaptability is improved, and the method is suitable for large-scale popularization and application. And the reference pulse is determined by gathering the overall pulse information to carry out iterative update compensation, so that the fusion of local information and global information is realized, and the processing robustness is improved. The method has the advantages of small operand and easy engineering implementation, and effectively ensures real-time updating of the reference envelope and efficient and steady implementation of ISAR translation envelope compensation.

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 present invention discloses a method for reducing false alarms of micro-leakage of gas, an intelligent gas meter and a system. The method comprises the following steps: real-time acquisition of rotation data of a counting wheel and conversion of the rotation data into at least one pulse signal; obtaining the time interval T between the ith pulse signal and the i-1th pulse signal; i , where i is greater than or equal to 1; obtain the time interval T within the preset micro-flow leakage range i The single pulse signal of the abnormal pulse signal is accumulated, and all the continuous pulse signals that belong to the preset micro-flow leakage range are accumulated to obtain the cumulative number N of abnormal pulse signals. i ; Determine the cumulative number of abnormal pulse signals N i Is the value greater than the cumulative threshold M for abnormal pulse signals of micro-leakage? The smart gas meter includes a counting wheel, a pulse signal module, a controller module, a valve control module, and a communication module. The smart gas system includes the smart gas meter described above and a remote backend. The present invention achieves a low false alarm rate and high safety performance.