288results about "Effective value measurements" patented technology

The invention discloses an automatic anchor point searching and processing method for grid-connected test data of a photovoltaic inverter, and belongs to the technical field of automatic test of a power system. According to the method, a three-phase voltage and current signal output by a power grid simulator and an inverter power instruction signal are aligned through a high-precision time synchronization device; wavelet transform multi-scale noise reduction and moving average filtering combined preprocessing is adopted to improve the signal-to-noise ratio; identifying a voltage zero crossing point candidate set, a drop starting point candidate set and a recovery termination point candidate set based on a self-adaptive dynamic threshold value; transient energy characteristic verification is introduced for a voltage drop starting point; effective anchor points are confirmed through time window association of power instruction step changes. According to the method, the problems of low efficiency of manual key event point identification, misjudgment caused by noise interference, grid event and inverter response time sequence correlation missing and the like are solved, and the automation degree of test data analysis, anchor point positioning precision and control response time sequence analysis reliability are remarkably improved.

The invention relates to the technical field of equipment maintenance, in particular to a distribution box remote diagnosis and maintenance system which comprises a voltage deviation detection module, a node hot stacking identification module, a channel stability classification module, a contact aging trend evaluation module and a period adjustment trigger module. According to the method, peak value change of effective voltage in each channel period in the distribution box is collected and compared with a preset criterion so as to accurately identify an abnormal discharge unit and accurately position a potential risk channel, and the change rate of equivalent series capacitance, contact conductance and contact resistance of a node is continuously sampled in a non-power-on state so as to accurately identify the potential risk channel. According to the method, multi-parameter same-trend change characteristics are determined, the contact aging process is accurately evaluated by integrating the parameter trend, the node trend and the maintenance plan period remaining time are subjected to cross comparison, the maintenance task advance opportunity is automatically judged, the maintenance plan is actively adjusted, the node fault missing detection risk is effectively reduced, and the maintenance timeliness and accuracy are remarkably improved.

The invention provides an electric leakage detection alarm method and system for a distribution box. The method comprises the steps of collecting zero-sequence current signals of all branches; dividing a fundamental wave region, a low-frequency harmonic region and a high-frequency harmonic region, and calculating the energy ratio of each frequency band; identifying higher harmonic interference based on the high-frequency energy ratio; a load type is determined through an equipment identification module, and a zero-sequence current tolerance interval is generated in combination with a preset model; according to the invention, the zero-sequence current tolerance model associated with the equipment type is constructed, the equipment identification module and the model generation module are combined, and the dynamic zero-sequence current tolerance interval is generated according to the information of the equipment type, the rated parameter, the grounding mode and the operation cycle, and is used as an important basis for judging whether the electric leakage behavior belongs to a normal working condition or not. When the actual detection value is in the tolerance interval, even if the zero-sequence current level is high, the system can correctly identify the state as a non-fault state, so that the problem of false alarm or alarm dead zone is avoided.

The invention discloses a water pump motor fault detection method and system, and belongs to the technical field of detection, and the method comprises the steps: building an electrical operation state model based on current, voltage and three-phase balance degree, and outputting an electrical state coefficient; predicting a resistance degradation trend by using the historical winding / insulation resistance data set, and generating a resistance prediction coefficient; combining the electrical state, the amplitude under the load and the flow of the water pump to construct a vibration-flow matching coefficient; fusing the resistance prediction coefficient, the noise index and the temperature index, and outputting a fault evaluation coefficient through a fault evaluation model; and when the fault evaluation coefficient exceeds a threshold value, shutdown is triggered. The system correspondingly comprises an electrical analysis module, a resistance prediction module, a state evaluation module and a fault decision module. According to the invention, early fault accurate detection is realized by fusing multiple parameters, and the reliability of the water pump motor is improved.

The invention discloses a bus voltage multi-dimensional real-time monitoring and analyzing method, system, equipment and medium, and belongs to the technical field of power system monitoring and fault prediction.The method comprises the steps that high-frequency synchronous sampling is conducted on bus voltage signals, discrete time sequence voltage signals are obtained and preprocessed, preprocessed voltage signals are obtained, and the discrete time sequence voltage signals are obtained; the method comprises the following steps: synchronously extracting multi-dimensional characteristic parameters of voltage, obtaining a characteristic parameter set, calculating a health degree index comprehensively representing a voltage state by utilizing a dynamic weighted fusion algorithm based on the characteristic parameter set, calculating an abnormal degree of a current value according to a historical data sequence of the health degree index, and performing fault grade judgment according to the abnormal degree. And performing trend extrapolation based on the health degree index and the historical data sequence of the key parameters in the characteristic parameter set, and generating predictive maintenance suggestions. According to the method, the crossing from passive alarm to predictive maintenance is realized, and the intelligent level and the operation and maintenance reliability of state monitoring of the power system are remarkably improved.

The invention discloses an electric energy quality comprehensive monitoring method and system based on real-time waveform analysis. The method comprises the following steps: S1, acquiring an analog voltage signal acquired by a mutual inductor; s2, preprocessing to obtain a voltage waveform data segment; s3, performing multi-dimensional feature extraction to obtain a voltage waveform multi-dimensional feature vector; s4, extracting a voltage RMS effective value, a total harmonic distortion rate and wavelet packet energy; s5, inputting the voltage RMS effective value, the total harmonic distortion rate and the wavelet packet energy into a grading event pre-detection model to obtain an event feature subset coding vector; and S6, enabling the event feature subset coding vector to pass through an intelligent event fine classification model to obtain an electric energy event accurate classification result. According to the electric energy quality comprehensive monitoring method and system based on real-time waveform analysis disclosed by the invention, the accuracy and efficiency of electric energy quality event monitoring are greatly improved.

The invention relates to the technical field of power equipment on-line monitoring and fault diagnosis, and discloses a converter transformer bushing end screen voltage abnormity detection device and early warning method.The method comprises the steps that voltage data are collected through a wireless intelligent sensor, soft synchronization and self-adaptive windowing are achieved through a commutation notch feature locking mechanism, and a preprocessing signal is output; topological correlation clustering is executed to construct a virtual health reference, a dynamic residual sequence is extracted through time domain difference, and system side and equipment side features are decoupled; constructing a variational mode decomposition model, and calculating a characteristic entropy value of the intrinsic mode function; and comparing the entropy value with a threshold value, triggering an active impedance disturbance verification mechanism, controlling a sensor to access a load and comparing an actual voltage drop rate with a theoretical voltage drop rate, and determining an insulation degradation or poor contact fault. High-precision synchronization can be achieved without a hardware clock, and the problems that weak fault features are difficult to extract and virtual connection and insulation faults are difficult to distinguish in a high-impedance loop are effectively solved.

Disclosed in the present invention are a feeder automation test method and apparatus, a device, and a storage medium. The method comprises: calculating a voltage effective value and a current effective value of each node in a distribution network framework under different fault handling section conditions of a feeder automation system; sending the voltage effective values and the current effective values to a corresponding tester, such that after receiving the voltage effective values and the current effective values, the tester converts the voltage effective values into an analog voltage waveform, converts the current effective values into an analog current waveform, outputs the analog voltage waveform and the analog current waveform to a corresponding field power distribution terminal, and returns switch position change information of the field power distribution terminal; and comparing the switch position change information with preset standard feeder automation action logic in a corresponding fault handling section condition and then, on the basis of a comparison result, obtaining a feeder automation test result. The present invention can improve the reliability of feeder automation tests.

The invention relates to the technical field of industrial monitoring and intelligent fault diagnosis. The invention provides a fault monitoring method and system for electrical elements of a mixing station. The method comprises the following steps: collecting operation signals of electrical elements of the mixing station; performing signal anti-interference processing based on the operation signal to obtain a preprocessed signal; according to the pre-processing signal, fault characteristic parameters of electrical elements of the mixing station are extracted, and the fault characteristic parameters comprise voltage reduction starting conversion logic characteristics of a contactor and overload transient characteristics of a motor; based on the fault characteristic parameters, fault trend analysis is carried out, and element performance degradation trend and potential fault risk are identified; and according to a result of the fault trend analysis, generating a multi-stage early warning signal for triggering preventive maintenance operation. The problems of failure of fault feature extraction, signal distortion and lack of potential risk early warning caused by insufficient pertinence, weak anti-interference capability and low intelligent degree of an existing mixing station electrical element monitoring technology are solved.

The invention provides an uninterruptible power supply automatic switching device test method and system based on visual control, and the method comprises the steps: connecting a voltage collection end of test equipment to a secondary output terminal of a voltage transformer at a power supply side of an automatic switching device; and meanwhile, a secondary current signal of the current transformer is obtained and input to the test equipment, and a current output end is pre-connected to a protection side current input terminal. In the testing process, actual voltage and current are monitored in real time through a graphical user interface, and the testing equipment is controlled to synchronously output analog voltage and current. The method comprises the following steps: presetting an automatic test sequence and parameters, automatically applying test working conditions to the spare power automatic switching device by test equipment according to the parameters after starting, synchronously acquiring test data, and finally calculating performance indexes based on the test data and generating a test report. According to the method, the spare power automatic switching device can be comprehensively, accurately and safely tested under the condition that power supply is not interrupted.

The invention relates to the technical field of electrical variable measurement, in particular to a filter fault detection method and system, and the method comprises the following steps: synchronously collecting an input current signal flowing through a filter and voltage time domain waveforms at the two ends of the filter based on a sine input voltage signal applied to the filter; the ratio of the peak voltage to the peak current in the initial stage is calculated, and the waveform transient amplitude ratio is obtained; and based on the waveform transient amplitude comparison, segmenting and sorting continuously acquired time domain waveforms according to a preset time window to generate an instantaneous electrical parameter sequence. An input current signal and voltage waveforms at the two ends are synchronously collected on the basis of application of a sine input voltage signal, the ratio of peak voltage to peak current is extracted to obtain waveform transient amplitude comparison, the sensitivity of waveform characteristics is improved, continuously collected time domain waveforms are divided through the waveform transient amplitude comparison, an instantaneous electrical parameter sequence is formed, and the accuracy of the waveform characteristics is improved. And the signal segmentation is more reliable.

The invention belongs to the technical field of electronic information, and relates to an online low-voltage load monitoring and abnormal tripping positioning method and a related device. According to the method, electrical parameters of all monitoring points are collected in real time, key parameters are calculated after analog-to-digital conversion and filtering denoising, and the key parameters are compared with a set threshold value to judge whether the monitoring points are in an abnormal state or not; once an abnormal state is found, an early warning is generated and uploaded to a remote platform; and continuously monitoring the state of the main switch or the total current at the same time, and when tripping occurs, backtracking an abnormal record within a preset time period before tripping, and positioning the last or the most serious abnormal monitoring point as an abnormal source. The system comprises a data acquisition module, an analog-to-digital conversion module, a preprocessing module, a calculation module, a judgment module, an early warning module, a trip monitoring module and a positioning module. According to the invention, early warning before a fault and rapid positioning after tripping are realized, and the intelligent level, the operation and maintenance efficiency and the power supply reliability of the power distribution network are improved.

The invention relates to a high-precision residual current CT disconnection detection and multi-channel synthesis method. The method comprises the following steps: reading an input value of a dial switch; confirming a multi-channel synthesis mode; confirming the number of actually used channels; sampling precision detection; the main control unit reads 16-channel voltage data in real time and records the 16-channel voltage data; carrying out broken line detection if the line is broken; performing multi-channel synthesis; performing effective value calculation to obtain a synthesized channel voltage effective value; performing effective value conversion; and storing the actual current value of the synthesis channel in a Flash storage area. The invention also discloses a high-precision residual current CT broken line detection and multi-channel synthesis system. The residual current sampling precision is improved, the current sampling precision is within the range of 0.5%, the broken line false alarm condition is reduced, accurate residual current data are provided for subsequent vector synthesis and data processing, and the residual current monitoring accuracy is improved; the device has a broken line monitoring function, can diagnose short line faults in time, has broken line detection-free time aiming at broken line false alarm, and has a broken line state recovery function to collect residual current again when a channel returns to normal.

The invention relates to a method for identifying a single-phase earth fault of a power distribution network based on a phase current break variable characteristic, which comprises the following steps of: acquiring a three-phase current signal according to a set theoretical sampling frequency, calculating an effective value of the three-phase current signal, and completing three-phase current power-on judgment when specific conditions are met at the same time; carrying out frequency tracking sampling frequency real-time sampling monitoring on the zero-sequence current, extracting a zero-sequence current break variable difference current curve, and carrying out fault starting condition judgment on the difference current curve; extracting three-phase current fault component waveforms from a fault starting point, and then performing low-pass filtering processing on the waveforms to obtain effective frequency band characteristic waveforms and power frequency component characteristic waveforms; and calculating the fault characteristic quantity, and executing different single-phase grounding fault positioning algorithms according to different types of neutral point grounding systems. According to the method, the single-phase grounding fault of the power distribution network is identified by adopting the technical principle of definite physical rules through phase current and zero sequence current signals.

The invention discloses a method for supporting high-frequency AC / DC component acquisition in core grounding current monitoring, which belongs to the technical field of transformers and comprises the steps of system initialization and communication establishment, continuous sample acquisition, period preprocessing and frequency spectrum and DC component calculation. The technical problem of accurately collecting and analyzing the high-frequency harmonic component and the direct-current component of the grounding current of the iron core at the same time is solved, the dual-channel sampling and digital signal processing technology is combined, on the basis of calculating the total current and the power frequency component, multi-dimensional monitoring and intelligent analysis of the running state of the transformer are achieved, and the fault diagnosis accuracy of the transformer is improved. According to the invention, various industrial scenes can be covered, missing detection of potential faults is avoided, and the fault early warning capability and the operation state judgment precision are improved.

The invention relates to an electric leakage alarm method and device for a resident end, equipment and a medium. The method comprises the following steps: acquiring a leakage current signal, performing low-pass filtering processing on the leakage current signal, and then calculating a leakage current effective value; dynamically calculating an alarm threshold according to the environment parameter information; the leakage current effective value is compared with an alarm threshold value, grading event judgment is carried out according to a comparison result and waveform characteristic parameters of the leakage current signal, and an alarm trigger mark is generated; according to the alarm triggering mark, generating an alarm instruction to execute at least one of the following response actions: driving a piezoelectric buzzer and an LED to generate a sound-light alarm signal; and generating alarm information according to the alarm triggering mark, and uploading the alarm information to a monitoring platform. According to the method, through leakage current signal filtering processing, dynamic alarm threshold calculation and a grading alarm mechanism, the accuracy and environmental adaptability of electric leakage detection in a residential electricity consumption scene are improved, and the intelligent level of electricity consumption safety monitoring is improved.

The invention discloses a state sensing and fault prediction system and method for a low-voltage switch cabinet, and relates to the technical field of power equipment monitoring, and the system comprises a multi-source feature fusion sensing module which is used for collecting multi-source data of the low-voltage switch cabinet to construct an original state data set, fusing credibility weighting and dynamic and static features, and constructing an enhanced state feature vector; the health assessment and fault prediction module is used for generating a health index and a state label through logistic regression mapping based on the enhanced state feature vector, performing health index prediction by adopting attention LSTM to calculate the remaining available life, and estimating the fault probability through structure perception k-NN; and the adaptive control optimization module is used for modulating the control advance based on the fault probability and generating a differential control instruction. According to the method, the accuracy of state sensing of the low-voltage switch cabinet and the credibility of fault prediction are remarkably improved, and the early warning capability and the operation and maintenance decision reliability are improved.

The invention provides a power grid interference monitoring and auxiliary diagnosis system. Based on a preset intelligent threshold value, when parameter fluctuation continuously exceeds 6dB, a data abnormity alarm is triggered, and hardware abnormity such as a sensor or a board card fault can be identified; calculating the total risk score of the power grid by quantitatively analyzing a plurality of parameters such as a voltage effective value, a frequency, a harmonic effective value, THD, low-frequency / radio-frequency conducted emission and a peak, and dividing the risk grades into'normal ', 'high risk' and'high risk '; the upper computer supports dynamic query, visual display and Excel export of historical data; an integrated interference auxiliary diagnosis function is combined with a typical database and a high-power equipment working condition information base, so that interference source equipment and abnormal frequency points can be automatically identified, and a diagnosis report is generated; the system is suitable for complex platforms such as ships and aircrafts, full-life-cycle electromagnetic compatibility management of a power grid is achieved, and the stability and safety of the system are improved.

The invention provides a low-frequency transformer performance testing method and device, electronic equipment and a storage medium, and relates to the technical field of low-frequency transformer performance testing. The method comprises the following steps: acquiring electrical performance parameter pretest data of each transformer sample; calculating an electrical performance parameter distribution characteristic value corresponding to the current batch of transformers; calculating a test parameter adjustment amount, and adjusting test parameter configuration of the low-frequency transformer performance test system based on the test parameter adjustment amount; and performing batch electrical performance test on the low-frequency transformer of the current batch by adopting the adjusted test parameter configuration to obtain batch electrical performance test data, and judging whether the performance of the transformer of the current batch is qualified or not according to the batch electrical performance test data. According to the method, the phenomenon of misjudgment or missed judgment caused by improper configuration of fixed parameters is effectively avoided, so that the effectiveness and the reliability of batch test results are remarkably improved, and a firmer guarantee is provided for the product quality.

The invention provides an electric energy quality regulation resource harmonic compensation capability evaluation method, which belongs to the field of electric energy regulation and comprises the following steps of: 1, measuring and calculating a real-time total effective value of phase voltage and phase current output by an electric energy quality regulation resource in real time according to a capacity calculation method; a real-time compensated output capacity Suse and a real-time residual adjustable capacity Ssurplus are obtained; and step 2, based on the real-time residual adjustable capacity Spurplus of the electric energy quality adjusting resource, considering four limiting factors, and evaluating the maximum value of each harmonic compensation current and the maximum value of the total harmonic compensation current which can be respectively sent by the electric energy quality adjusting resource in real time. The method assists in realizing optimal configuration of mass heterogeneous power quality regulation resources in a power grid.

Systems and methods for monitoring an alternator are described. A system for monitoring an alternator comprises: a current sensor configured to measure a current signal from the alternator over time; and a controller configured to: extract parameters from the current signal; and analyze the parameters and thereby identify a potential fault in the alternator.

The invention discloses an electric anastomat detection method and system based on multi-modal sensing, and relates to the technical field of electric anastomat detection. A sensor array is constructed to collect state data of an electric anastomat in real time; preprocessing the state data to obtain data features, and constructing a feature model of the electric anastomat based on the data features; based on the feature model, constructing a multi-stage anomaly decision of the electric anastomat, wherein the multi-stage anomaly decision comprises a gradient response execution end and man-machine guide interaction; meanwhile, a main control center is constructed, and basic information, operation guidance, early warning guidance and emergency guidance of the electric anastomat are visually displayed; according to the invention, through multi-modal and high-dimensional feature extraction and multi-level abnormal decision making, the sensitivity and accuracy of detection of the electric anastomat are significantly improved, and the usability and safety of the system are greatly improved through the master control center.

The invention relates to the technical field of electric power system analysis, and discloses a method for analyzing waveforms in an electric power system.The method comprises the steps of data collection, data preprocessing, feature extraction, comparative analysis and result display.The waveform data of multiple data points are collected in real time through a voltage transformer and a current transformer, the data accuracy is ensured, and the analysis accuracy is improved. Voltage and current waveform characteristics are comprehensively analyzed through feature extraction, and the monitoring accuracy is improved; comparing and analyzing, judging abnormity according to a preset threshold value and determining an accurate abnormity level, and clearly dividing normal and different risk levels by calculating a deviation rate and an analysis factor in combination with a preset abnormity factor threshold value set, so that related personnel can quickly know the risk degree to take measures; results are displayed visually and clearly, key data and risk levels are presented to related personnel, problems can be found in time, maintenance and repair are carried out, and the stability and reliability of the system are improved.

A single-phase earth fault judgment method based on three-phase current change characteristics uses a phase current signal as a signal easy to collect, and the phase current signal contains rich fault information after a fault occurs. Meanwhile, the phase current transformer is widely installed in a power distribution network line. The phase current is used as a judgment signal, so that the condition that the applicability of the fault line selection system is influenced due to lack of a zero-sequence current signal acquisition device in the system can be avoided. Moreover, the phase current amplitude variance is adopted as a criterion, the dependence of the algorithm on communication can be reduced, and the method can still finish fault line selection on site under the condition that communication signals are poor or communication is lacked.

The invention discloses an electric parameter calculation method of an electric meter, a control device and a computer readable storage medium, and the method comprises the steps: filtering an initial voltage sampling sequence through employing a low-pass filter before calculating a zero crossing point of a cyclic wave sampling point number, filtering the interference of harmonic waves and noise on the zero crossing point, and calculating the zero crossing point of the cyclic wave sampling point number; finding a zero crossing point according to the filtered intermediate voltage sequence so as to determine the number of cycle sampling points; continuously taking data from zero crossing points of the initial voltage sampling sequence and the initial current sampling sequence according to the number of cycle sampling points so as to calculate a voltage effective value and a current effective value; and performing interpolation resampling processing on the initial voltage sampling sequence and the initial current sampling sequence according to the number of cyclic wave sampling points and a second resampling frequency, and calculating harmonic electric parameters of the voltage signal and the current signal according to the obtained voltage resampling sequence and the current resampling sequence. The electric parameter calculation accuracy of the measured signal when the higher harmonic content is relatively high can be effectively improved.

The invention provides a mechanical characteristic monitoring method and system for a switch cabinet, and belongs to the field of power equipment detection, and the method comprises the steps: respectively obtaining the contact stroke of each phase of contact, the isolation knife current of each phase, the grounding knife current of each phase, and the motor current of each phase of a three-phase discrete switch of the switch cabinet in the switching-on and switching-off process; obtaining opening and closing time data of the circuit breaker in the opening and closing process; obtaining stroke characteristics of each phase of contact according to the contact stroke of each phase of contact; obtaining current characteristics of each phase according to the isolating knife current of each phase, the grounding knife current of each phase and the motor current of each phase; obtaining opening and closing characteristics according to the opening and closing time data; and monitoring the mechanical characteristics of the switch cabinet according to the contact stroke characteristics of each phase, the current characteristics of each phase and the opening and closing characteristics. The comprehensiveness and the accuracy of monitoring the mechanical characteristics of the switch cabinet and the effectiveness of fault identification can be improved.

The present invention discloses a tree-line fault impedance measurement method, which relates to the field of high voltage test technology. The method comprises: measuring the leakage current flowing through the entire live tree by suspending a conductor in the front section of the fault point, collecting voltage signals at both ends of the line to obtain the fault point voltage; performing noise reduction on the collected leakage current and fault point voltage through wavelet transformation; interpolating shorter signal data through quadratic polynomial fitting to align the two signals; and calculating the equivalent impedance change of the tree. The present invention is used for fault mechanism analysis and fault identification, and is of great significance for ensuring the safety of distribution lines and preventing and controlling wildfires caused by tree-line faults.

A method and system for monitoring an insulation resistance (IR) of an electric machine, the system including a bridge circuit arrangement. A voltage on the bridge circuit arrangement is detected. The IR is calculated as a resistance in the bridge circuit arrangement associated with the detected voltage.

The invention provides a power distribution network closed-loop power regulation safety checking method, and belongs to the field of power distribution networks. The method comprises the following steps: detecting all electrical parameters of a power grid, calculating a voltage difference, a phase difference and impedance, and performing safety check according to steady-state current and impact current analysis, thereby ensuring the accuracy and safety of closed-loop power regulation of the power distribution network. The method comprises the following steps: firstly, detecting all electrical parameters at detection points before and after loop closing, then calculating the voltage difference and phase difference of the parameters, and judging whether the loop closing is reasonable or not. Furthermore, the loop impedance is calculated by measuring the voltage vector difference and predicting the loop closing current. According to the characteristics of the power grid, during each loop closing, the impedance should be updated to keep accuracy. Meanwhile, the impact current and the steady-state current are calculated and analyzed. If the security check of all key nodes is passed and the conditions in the step 2 meet the requirements, a result is obtained, and loop closing can be carried out.

This invention discloses an intelligent data synchronization system and method for voltage monitoring instruments, relating to the field of intelligent data synchronization technology. The method includes the following steps: acquiring the original sampling sequence; constructing a preset step-size sliding window; generating filter coefficients based on the statistical characteristics of sampling points within each window and performing weighted calculations to obtain the filtered output value at the window center point, forming a preprocessed sequence; detecting the sign change of adjacent sampling points in the sequence; marking valid zero-crossing points; extracting an integer number of complete cycle sampling data as a cycle data block; calculating the theoretical number of sampling points based on the rated frequency and sampling rate and setting a tolerance range; comparing the actual number of points to preliminarily determine the synchronization effectiveness; calculating the actual frequency from the preliminarily valid data block; verifying the rated frequency deviation to confirm synchronization; simultaneously calculating its effective value; comparing it with a preset voltage threshold to determine whether the data is valid. This invention achieves intelligent synchronization of sampling data.