36 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.

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.

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.

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 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 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 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.

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.

The invention relates to a photoelectric volume pulse wave signal reconstruction method, device and equipment and a storage medium, and the method comprises the steps that the starting point of each pulse wave is determined based on a photoelectric volume pulse wave signal; the duration, duration stability parameters and / or duration mutation parameters of all the pulse waves are determined according to the starting points of all the pulse waves, the duration stability parameters are used for representing the stability of the duration of the corresponding pulse waves relative to the duration of other pulse waves in the whole photoelectric volume pulse wave signal, and / or the duration mutation parameters are used for representing the stability of the duration of the corresponding pulse waves relative to the duration of other pulse waves in the whole photoelectric volume pulse wave signal. The duration mutation parameter is used for representing the mutation degree of the duration of the corresponding pulse wave relative to the duration of the previous pulse wave; according to the duration, the duration stability parameter and / or the duration mutation parameter of each pulse wave, determining an abnormal pulse wave; and removing the abnormal pulse wave from the photoelectric volume pulse wave signal to obtain a reconstructed photoelectric volume pulse wave signal.

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.