3042results about "Measurement using digital techniques" patented technology

The invention discloses a high-precision voltage measurement method and system based on multi-parameter adaptive compensation, and relates to the technical field of intelligent voltage measurement. The high-precision voltage measurement method and system based on multi-parameter adaptive compensation comprises the steps that S1, voltage signal data and disturbance source characteristic data are collected, preprocessing is completed, and an analysis basis is constructed; s2, analyzing voltage excursion in combination with disturbance current characteristics, and dynamically adjusting a compensation path; s3, evaluating a compensation correction effect, and driving a compensation output strategy in real time; and S4, comprehensively analyzing the offset characteristics and the correction result, judging an abnormal section and triggering adaptive adjustment. The problems that disturbance components cannot be comprehensively extracted from multiple parameters such as PWM modulation frequency, wire harness impedance and working condition load change and a compensation function cannot be reversely constructed in an existing method, and a measured value does not have stability are solved.

The invention discloses a DC-DC power supply dynamic response optimization system based on digital PID, which relates to the technical field of DC-DC power supply dynamic response optimization, and comprises a voltage and current sampling module, a reference signal generation module, an output signal generation module, a digital signal generation module, a control module and an output signal generation module, the digital PID controller calculates control output according to errors, the PWM signal generation module generates corresponding PWM signals according to the control output, the power switch driving module amplifies the signals to drive a switch tube, the load monitoring module monitors load changes in real time, output of the load monitoring module can be fed back to other modules, and power supply dynamic response optimization is achieved. According to the invention, the dynamic response performance of the DC-DC power supply is remarkably improved, the output fluctuation is reduced, the recovery time is shortened, the power supply efficiency is improved, the stability is guaranteed by adopting multiple anti-interference design, peripheral elements are reduced, miniaturization is realized, the cost is reduced, fault diagnosis is realized, and the service life is prolonged.

The invention discloses an electrical fire monitoring method based on inherent residual current automatic compensation, and relates to the technical field of electrical safety monitoring, and the method comprises the following steps: S100, collecting a residual current signal, executing multi-component time-frequency deconstruction processing, extracting an energy distribution characteristic through wavelet packet transformation, and extracting a mutability index in combination with short-time spectrum entropy analysis, and constructing a preliminary distribution map of higher harmonic interference, and determining boundary features of interference signals in a time domain and a frequency domain. According to the method, high-frequency interference signals are accurately positioned through time-frequency deconstruction, wavelet packet analysis and spectral entropy indexes, non-fault harmonic components are effectively eliminated in combination with amplitude-frequency coupling recognition and a recursive rejection strategy, closed-loop control is constructed by introducing an adaptive compensation and stability backtracking mechanism, accurate recognition and dynamic correction of real electric leakage risks are achieved, and the method is suitable for large-scale popularization and application. The identification precision and the safety reliability of the monitoring system in a complex industrial environment are obviously improved, and the method has good engineering adaptability.

The invention discloses a sampling implementation method and system suitable for motor protection quick response, belongs to the technical field of motor protection, and can increase the sampling frequency and improve the quick response of motor fault protection. Comprising the steps that motor phase current and bus voltage are collected, after anti-aliasing filtering is conducted, parallel sampling is conducted through a main ADC module and a redundant ADC module which are independently configured, and the following operations are synchronously executed based on a double-buffer-area framework: in a first buffer area, a compensation coefficient updating period is dynamically adjusted, and convergence is restrained; in the second buffer area, generating a voltage gradient prediction sequence, and compensating data abrupt change; when the harmonic frequency spectrum amplitude or the voltage gradient prediction sequence exceeds the limit, an oversampling mode is triggered, a redundant ADC module is allocated to load a multi-order digital filter, and an independent hardware acceleration unit is started to process harmonic compensation and gradient prediction in parallel; and generating a dynamic safety envelope, and if the gradient extreme value in the preset continuous window breaks through the safety envelope, generating an overvoltage fault signal.

The invention relates to the technical field of power supply detection, and discloses a fire-fighting equipment power supply detection method and system.The detection method comprises the following steps that voltage fluctuation, current phase and ripple coefficients are collected through a multi-channel sensor group, a feature sequence is generated through sliding window noise reduction, the Euclidean distance is calculated through Z-score standardization, and a calibration instruction is generated when a threshold value is exceeded; kalman filtering adjusts frequency output detection parameters, fast Fourier transform is executed to extract harmonic amplitude to generate a suppression vector, and a least square reconstruction model outputs a state identifier; according to the method, voltage, current and ripples are collected through multiple channels, anti-interference performance and data integrity are enhanced through sliding window noise reduction, a threshold value is adjusted through Z-score and Euclidean distance self-matching, sampling frequency and detection parameters are optimized through Kalman filtering, harmonic characteristics are extracted through FFT, and the state is evaluated through a least square reconstruction model. And a multi-dimensional classification system is constructed by fusing the distortion rate and the phase deviation, so that the detection precision, the sensitivity and the response real-time performance are improved.

The invention discloses a DC voltage divider parameter anomaly detection method based on harmonic characteristics, and the method comprises the steps: deploying an isolation type voltage sensor at a bus of a DC power transmission system, carrying out the voltage sampling through combining with an ADC, carrying out the data buffering and preprocessing, extracting a fundamental wave component and a target harmonic component through the fast Fourier transform, and calculating the harmonic distortion rate. And constructing a low-voltage arm capacitance and harmonic distortion rate model based on a voltage divider secondary circuit equivalent circuit and an energy distribution principle, and calibrating the low-voltage arm capacitance and harmonic distortion rate model. And designing a multi-objective optimization scheduling algorithm based on energy storage capacity and capacitance characteristics, and realizing dynamic power distribution and harmonic suppression of the system. And after abnormal triggering, the system automatically loads a capacitance compensation coefficient, adaptively adjusts algorithm parameters in combination with a measurement loop PI control link, reduces a harmonic amplification effect, and ensures that a measurement error is within an acceptable range. Harmonic monitoring precision and capacitance compensation optimization capability of the direct-current power transmission system are effectively improved, and stable operation of the system is guaranteed.

The invention discloses a power grid multi-range intelligent sensing method and system based on MEMS integration, and relates to the technical field of intelligent sensing, and the method comprises the steps: connecting an MEMS sensing unit to three parallel measurement channels, and connecting the MEMS sensing unit to a controllable signal routing module in parallel; after gating, the signals are sent to a successive approximation analog-to-digital converter for digitalization through nonlinear gain amplification and anti-aliasing filtering; determining a measuring range based on a sampling sequence and a sliding window ratio, and automatically switching channels through a threshold value and a hysteresis mechanism; performing baseline correction on the switching data and performing weighted fusion according to sensitivity and bandwidth; and after the laboratory performs segmented calibration and consistency verification on the three channels, calibration parameters are written and stored, and are transmitted to an upper system through an isolation power supply according to a preset protocol. Automatic range switching is achieved through a sliding window and a hysteresis mechanism, baseline drift correction and weighting fusion according to the proportion of sensitivity and bandwidth are adopted after channel switching, and measurement continuity and precision consistency are ensured.

The invention relates to the technical field of voltage acquisition, in particular to a battery string voltage acquisition system with a calibration system and a voltage acquisition method. Which comprises a multi-path voltage input end, a voltage signal adjusting end, a voltage follower, an analog-to-digital converter, a main control center and a communication circuit, and is characterized in that the voltage signal adjusting end comprises a dynamic voltage division network, consists of a digital potentiometer and a high-voltage operational amplifier, and dynamically adjusts the voltage division ratio to suppress common-mode voltage; the main control center is integrated with a multi-channel synchronous sampling calibration module and generates a global synchronous signal through the main MCU to control the ADC to perform synchronous acquisition; a temperature compensation module is arranged between the voltage follower and the ADC, and a digital temperature sensor is adopted to correct the gain drift of the operational amplifier in real time; the voltage division ratio of the dynamic voltage division network is dynamically adjusted according to the real-time common-mode voltage and a preset safety threshold value. According to the scheme, dynamic partial pressure adjustment, multi-channel self-calibration, nonlinear temperature compensation and a rapid protection mechanism can be integrated.

The invention relates to the technical field of automobile electronic testing, and discloses an integrated ECU power-on burning test monitoring system and method. The system comprises a power supply intelligent regulation and control module, a burning verification module, a test diagnosis module, an abnormity monitoring module and a feedback optimization module. The power supply intelligent regulation and control module realizes stable power supply output through a dynamic voltage frequency regulation algorithm and a temperature self-adaptive algorithm; the burning verification module is used for ensuring the burning integrity by using a block redundancy check and increment verification algorithm; the test diagnosis module diagnoses faults based on the multi-dimensional test data and the decision tree model; the abnormity monitoring module monitors abnormity in real time by using real-time streaming data processing and an isolated forest algorithm; and the feedback optimization module optimizes test diagnosis through incremental learning and a Bayesian optimization algorithm. According to the system and the method, comprehensive and accurate monitoring and optimization of the ECU are realized, and the performance and the reliability of the ECU are effectively improved.

The invention provides a power grid cable real-time current detection method and system, and the method comprises the steps: carrying out the multi-frequency-band synchronous collection of the current of a cable shielding layer for a high-voltage DC power transmission system with multiple loops laid in parallel, and obtaining the time-space information data; an electromagnetic coupling transfer function is calculated based on the data, and an electromagnetic coupling coefficient matrix is constructed, so that near-end cross induction current is separated to obtain a real current signal; establishing a cable dispersion model by using a real current signal, and performing fault feature recognition by combining a time domain criterion, a frequency domain criterion and time-frequency joint entropy analysis; and finally, calculating a credibility index by combining the temperature gradient and the electromagnetic environment parameters, correcting a preliminary judgment result and generating a protection control signal. According to the method, the near-end cross induction current and the real fault current can be effectively distinguished, the problem that the protection system of the multi-end high-voltage direct current system operates by mistake or does not operate in the power-on transient period is solved, and the reliability of the system is improved.

The invention provides a transformer substation residual current intelligent monitoring method and device based on multi-parameter fusion, and relates to the technical field of power system monitoring, and the method comprises the steps: collecting the residual current value of each loop through a residual current sensor, and collecting environment parameters at the same time; performing dynamic confidence fusion on the residual current values of the plurality of residual current sensors through a confidence function and the consistency factor to obtain a fused residual current value; calculating self-adaptive weights of the environmental parameters, and calculating a dynamic threshold value through the nonlinear mapping function of the environmental parameters and the self-adaptive weights; calculating a multi-parameter fusion evaluation index, combining the fusion residual current value, the dynamic threshold value and the multi-parameter fusion evaluation index, calculating a comprehensive fault risk index through a fault membership function, and obtaining a fault diagnosis result according to the risk index value; and outputting early warning information according to the fault diagnosis result. According to the invention, intelligent monitoring and fault early warning of the residual current of the transformer substation can be realized, and the monitoring precision and the reliability of fault diagnosis are improved.

The invention relates to the technical field of state monitoring, in particular to an intelligent fuse comprising a monitoring module, and the fuse comprises a data analysis module, a steady state recognition module, a temperature analysis module, a coupling calculation module and a state calibration module. According to the method, time consistency verification and corresponding matching are carried out on temperature and current sampling, abnormal interference is eliminated in a stable current-carrying interval, a continuous sequence is formed, and a definite time relation is established between thermal response and a current-carrying state by combining analysis of accumulated deviation and change turning of the temperature along with time; the abnormal trend of slow evolution is amplified and presented, correction is carried out according to the direction consistency of multi-segment time difference change, progressive features before fusing are recognized in advance, early warning continuity and operation decision reliability are improved, misjudgment is reduced, continuous updating of state evaluation is supported, and stability of a control closed loop is improved.

The invention discloses a dual-polarization multi-layer optical current sensor and a multi-physical field disturbance resisting method thereof, and belongs to the technical field of current sensors of power systems. The sensor comprises a dual-polarization multi-layer sensor system and a dual-polarization multi-layer optical current sensor real-time signal processing system which are connected with each other, the output end of a double-layer diamagnetic photoelectric sensing signal processing unit and the output end of a temperature-resistant signal photoelectric sensing signal processing unit in the real-time signal processing system of the dual-polarization multi-layer optical current sensor are connected to the input end of a dual-polarization multi-layer signal processing unit; and the output end of the dual-polarization multi-layer signal processing unit is connected to the multi-physical field anti-interference signal output unit. According to the invention, the resistance of the straight-through optical path type MOCT to ambient temperature field fluctuation can be effectively improved, and the influence of external magnetic interference at any position and the influence of ambient temperature fluctuation interference can be resisted.

According to the cable multi-parameter fusion sensor and method, in the cable multi-parameter fusion sensor, a shielding shell is of an open-close type metal annular structure; the zero-flux sensor module is arranged on the inner layer of the shielding shell so as to detect a cable sheath ring current signal; the pulse current sensor module is arranged on the outer side of the zero-flux sensor module so as to detect a cable partial discharge pulse current signal and an overvoltage impact current signal; the magnetic shielding layer is arranged between the zero-flux sensor module and the pulse current sensor module to shield low-frequency magnetic field interference; the zero magnetic flux sensor module and the pulse current sensor module share the shielding shell to form an electromagnetic shielding structure.

The invention belongs to the technical field of DC power grid short-circuit current calculation, and particularly relates to a short-circuit current calculation method for a metal backflow four-terminal bipolar DC power grid, and the method comprises the steps: S1, building an MMC equivalent model; s2, constructing and processing an equivalent circuit of a Bergeron lossy transmission line of the DC line to obtain a Bergeron two-port equivalent model of a single-phase transmission line and a Bergeron equivalent model of a three-phase transmission line; s3, establishing an equivalent model of the metal backflow four-terminal bipolar direct current power grid; s4, establishing an accompanying circuit model of the metal backflow four-terminal bipolar direct current power grid; s5, constructing a conductance matrix G, and forming a node voltage equation; and S6, according to the fault type, modifying a node admittance matrix G in the node voltage equation into an equivalent conductance matrix G ', and then solving the modified node voltage equation to obtain the branch current and the node voltage after the fault. According to the method, the problem that the short-circuit current calculation method of the metal backflow four-terminal bipolar direct-current power grid is insufficient in accuracy can be solved.

The invention discloses a current and voltage signal synchronous correction and output method and system, and relates to the technical field of power system analysis and control. Compared with a previous current and voltage signal correction method, the method solves the problems that traditional multi-channel signal acquisition depends on conventional clock control, and synchronization precision is insufficient; a conventional sampling circuit is weak in anti-interference capability. The problem that an existing scheme lacks efficient error prediction and dynamic optimization capability is solved. Through a multi-channel FPGA clock synchronization and double-differential sampling technology, complete acquisition of high-frequency transient characteristics of voltage and current signals is ensured; a dynamic calibration algorithm and multi-stage composite filtering are combined, so that common-mode interference and non-linear errors are effectively suppressed; and finally, through optical fiber isolation output and intelligent feedback control, signal full-link synchronous correction is realized, the electric energy metering error can be reduced, the fault positioning precision is improved, the characteristics of high precision, strong anti-interference and low energy consumption are realized, and a reliable data reference is provided for intelligent power grid and new energy grid connection.

The invention discloses an anti-interference resistance detection circuit board and system based on four-wire system measurement, and relates to the technical field of industrial automatic detection. Aiming at the problems of low measurement precision, weak interference resistance and limited channel expansion of a traditional two-wire system, a current loop and a voltage sampling loop which are independently and electrically isolated are adopted, and a lead resistance error is eliminated through Kelvin connection; an EMI filter, a photoelectric coupler and a double-layer shielding cable are integrated, so that the influence of electromagnetic interference and a ground loop is inhibited; a single circuit board supports the parallel connection of at least two measuring units, realizes the cascade connection of multiple boards by combining an EtherCAT bus, and supports 384 channels at most. The measuring error is smaller than or equal to + / -0.1%, the single-channel detection time is smaller than or equal to 10 ms, the requirements of high-density and high-beat scenes such as perovskite photovoltaic glass are met, the method is suitable for 100-100 Momega wide-range resistance measurement, the signal transmission error rate in the industrial strong electromagnetic environment is extremely low, and the detection precision and the system reliability are remarkably improved.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention relates to a cable current signal data acquisition method, device and system. The method comprises the following steps: a data acquisition step: acquiring current signal data of a target cable, and detecting the fluctuation amplitude, the signal-to-noise ratio and the packet loss rate of the current signal data; according to the fluctuation amplitude, the signal-to-noise ratio and the packet loss rate, verifying a plurality of data processing components corresponding to the current signal data to obtain verification results; according to the verification result, an abnormal component and to-be-corrected component parameters corresponding to the abnormal component are positioned from the signal acquisition component, the signal filtering component and the data transmission component, and the to-be-corrected component parameters are corrected; and under the condition that the parameter correction of the to-be-corrected component is completed, returning to the data acquisition step until it is determined that the plurality of data processing components pass verification, and taking the acquired current signal data as target current signal data. By adopting the method, the current signal data of the cable can be accurately obtained.

The invention discloses an electric power data acquisition method and equipment based on a logarithmic amplifier and a medium, and relates to the technical field of electric power monitoring signal processing, and the method comprises the steps: collecting an original analog current signal on an electric power circuit and an analog temperature signal of an environment where the logarithmic amplifier is located, and generating a mixed observation vector; based on the mixed observation vector, calculating an estimated value of a temperature characteristic correction parameter in real time through a pre-stored temperature-parameter mapping relation, and performing logarithmic compression on the original current digital signal sequence by using the estimated value of the temperature characteristic correction parameter to obtain a compressed voltage signal subjected to temperature compensation; and performing high-speed analog-to-digital conversion on the compressed voltage signal subjected to temperature compensation to obtain a discrete digital signal sequence, and storing the discrete digital signal sequence into a priority cache region. According to the invention, the data volume is effectively compressed by using the correlation between the signals, and the transmission bandwidth and the storage demand are reduced.

The invention discloses a voltage acquisition circuit, an alternating current power supply, a voltage acquisition method, a voltage acquisition device and a medium. A far-end sampling unit; the in-phase input end of the first comparison unit is connected with the near-end sampling unit, and the inverted input end is grounded; the in-phase input end of the second comparison unit is connected with the far-end sampling unit, and the inverted input end is grounded; the input end of the XOR unit is connected with the output ends of the first comparison unit and the second comparison unit; the in-phase input end of the third comparison unit is connected with the output end of the XOR unit, the inverted input end inputs reference voltage, and the reference voltage is smaller than half of the power supply voltage; the control unit is used for judging that far-end sensing sampling is abnormal when the difference effective value of the voltages output by the near-end sampling unit and the far-end sampling unit is smaller than the preset compensation voltage and the abnormal comparison voltage output by the third comparison unit is 1. According to the invention, when the AC power supply outputs low voltage, the conditions of disconnection and reverse connection of the far-end induction sampling can be identified.

The invention relates to the technical field of power system monitoring, in particular to a power distribution terminal fault monitoring system and method. The dual-channel acquisition module is used for acquiring two analog quantities of a power distribution room and mapping the two analog quantities into a power grid environment characteristic matrix; the cyclic mapping module is used for carrying out decoupling operation and generating a noise separation feature vector; constructing a background noise dynamic reference based on the noise separation feature vector, and generating a judgment boundary threshold; performing cyclic increasing and resetting in the fault recall storage unit through a write-in pointer to form a terminal state data stream; the fault judgment module is used for comparing the amplitude of the noise separation feature vector with a judgment boundary threshold value and generating a fault locking instruction; and based on the fault locking instruction, generating a termination signal, freezing the write pointer, and extracting the partial discharge data file from the terminal state data stream. According to the method, a closed-loop monitoring system in which the environment self-adaptive reference and signal feature decoupling support each other is constructed, and a fault backtracking sample with time-space alignment and complete logic is provided.

A multiport current sensor is disclosed for measuring current. The sensor may include multiple CT or Rogowski coil segments or sections arranged in a closed loop configuration around a monitored phase line or other electrical conductor. An adjacent phase rejection circuit compares the magnitudes and / or phase angles of the voltage signals from the multiple coil segments. The adjacent phase rejection circuit may detect if a fault in an adjacent phase line or other electrical conductor is affecting the output signal of the current sensor by more than a threshold amount. The adjacent phase rejection circuit may additionally or alternatively indicate whether the measured values are valid for detecting a fault on the monitored phase line or other electrical conductor.

The invention relates to the technical field of electric power simulation practical training safety protection, and discloses a quadruple safety protection system and method for electric power simulation practical training, and the system comprises a central control unit, and a circuit breaker unit, a safety power supply unit, a virtual load power supply unit and an electric leakage monitoring unit which are in communication connection with the central control unit. The circuit breaker unit, the safety power supply unit, the virtual load power supply unit and the electric leakage monitoring unit are connected in sequence; the circuit breaker unit, the safety power supply unit, the virtual load power supply unit and the electric leakage monitoring unit respectively carry out fault judgment and send a fault judgment result to the central control unit; and the central control unit generates a corresponding cooperative control instruction according to the fault judgment result so as to control other units to perform cooperative protection. Through a quadruple protection system, safe operation of electric power simulation practical training is guaranteed, the risks of equipment damage and personnel safety accidents are effectively reduced, and the safety, reliability and practicability of electric power simulation practical training are improved.

An electrical grid fault localization system including: a plurality of current sensors (measurement devices) electrically connected to the electrical grid; a memory for storing a representation of the electrical grid as a plurality of geographical markers, and for storing a plurality of sets of expected time data, each one of the plurality of sets of expected time data associated with each one of the plurality of geographical markers, each member of the set of expected time data based on an expected signal propagation time from, at least one of the plurality of geographical markers to at least one current sensor; a processor communicative with the plurality of current sensors and the memory, the processor configured to receive measured time data of a fault event from, the plurality of sensors to generate a set of fault event time data and to match the set of fault event time data to at least one of the plurality of sets of expected time data and identify in g / outputting at least one matched geographical marker. Methods and computer-readable media directed to electrical grid fault localization are also described.

The invention relates to the technical field of power distribution network automation, and discloses an electrical variable monitoring method for ring main unit operation, which comprises the following steps: acquiring three-phase electrical variable data in response to a condition that a load current change rate exceeds a preset micro-motion excitation threshold value; calculating a reference voltage based on the circuit state equation containing the inter-phase mutual inductance coupling term; the method comprises the following steps: constructing a rotating coordinate system taking a current vector as a reference axis, performing vector decomposition on a voltage deviation vector, separating a resistive temperature drift voltage component parallel to the reference axis, and taking a nonlinear impedance voltage component perpendicular to the reference axis as a monitoring parameter to judge a contact state. According to the method, linear resistance drift caused by conductor temperature rise is effectively decoupled, baseline interference is eliminated, weak nonlinear impedance distortion characteristics caused by mechanical contact degradation can be captured, and the recognition sensitivity and accuracy of early latent faults of the ring main unit are improved.

The invention discloses an AC voltage stabilizer dynamic regulation system based on an intelligent algorithm, and relates to the technical field of AC voltage stabilizers, and the system comprises a data collection module which is used for collecting a gate voltage waveform of an IGBT of an AC voltage stabilizer and an AC voltage instantaneous value of a power grid input end of the AC voltage stabilizer; the data processing module is used for determining a first Shannon entropy value of a rising edge and a second Shannon entropy value of a falling edge of the gate voltage according to the gate voltage waveform; determining an entropy change difference quantity between the rising edge and the falling edge according to the first Shannon entropy value and the second Shannon entropy value; determining a power grid input fluctuation quantity according to the AC voltage instantaneous value; if the power grid input fluctuation quantity is smaller than a fluctuation threshold value and the entropy change difference quantity is larger than a first preset difference threshold value, generating an inversion signal compensation waveform according to the gate voltage waveform; and injecting the inverted signal compensation waveform into a PWM modulator of the AC voltage stabilizer. According to the invention, the accuracy of identifying the real disturbance caused by the external power grid of the AC voltage stabilizer is improved.

The invention provides a capacitive equipment resistive current taking-free PT signal measurement method suitable for a lightning arrester, and relates to the technical field of capacitive equipment resistive current measurement. The method comprises the following steps: deploying a non-contact electric field coupling sensing array; acquiring a multi-channel main induction signal and an equipment high-voltage side induction electric field signal; performing cascade filtering processing to obtain a filtering reference signal; dynamically correcting the phase deviation of the filtered reference signal to obtain a calibration reference signal; collecting a leakage current signal, and separating to obtain a resistive current component; and constructing a dielectric loss factor multivariable dynamic compensation model based on the deep belief network, embedding a capacitive equipment operation duration cumulative effect factor, and updating parameters in real time through an online learning algorithm to obtain a resistive current measurement result. High-precision measurement of resistive current is realized through an advanced technology, a model is established in combination with multiple environment parameters and equipment operation duration, adaptability is improved, and long-term accurate monitoring is guaranteed through online parameter updating.

The invention discloses a current detection method and system based on a double-ring TMR nested structure, and belongs to the technical field of current detection. The method comprises the following steps: based on a double-ring TMR system of a double-ring TMR nested structure, performing double-ring detection on the current of a to-be-detected wire in a current measurement scene; synchronously acquiring double-ring data obtained by double-ring detection through AD, and performing wavelet denoising on the double-ring data according to the structure data of the double-ring TMR nested structure; and based on a Kalman filtering algorithm, fusing the double-loop data after wavelet denoising to obtain current information of the to-be-measured wire in the current measurement scene. The method not only has outstanding advantages in the aspects of measurement accuracy and anti-interference performance, but also has a wide measurement range and stable linearity performance, and can be widely applied to complex electromagnetic environments with high requirements on current detection accuracy, such as new energy grid connection, electric vehicle charging piles and intelligent power grids.

The invention provides an intelligent voltage monitoring system with an adaptive calibration function, and relates to the technical field of data processing. An environment monitoring module; the intelligent drift modeling module is used for training associated data based on a neural network model, learning a nonlinear drift rule under a multi-factor coupling condition and constructing a drift prediction model; the prediction calibration module is used for generating a calibration vector for uncollected original voltage data, and performing dynamic superposition calibration in a real-time sampling process to generate prediction calibration voltage data; the closed-loop self-learning module is used for extracting a deviation trend based on the periodic deviation of the predicted calibration voltage and the reference voltage, and carrying out online updating on the drift prediction model according to the deviation trend; the application output module is used for providing the predicted calibration voltage data to a control unit of the power equipment; according to the invention, the autonomy and accuracy of intelligent voltage monitoring are improved.