323 results about "Current sample" patented technology

The invention discloses a buck-boost circuit-based mppt charging current backflow prevention control method, and relates to the technical field of switching power supplies, and the method comprises the steps: collecting a photovoltaic input voltage, a battery output voltage, and an inductive current flowing through an inductor; the current input power is calculated based on the photovoltaic input voltage and the inductive current, and the reference voltage is dynamically adjusted through an MPPT loop algorithm; pI voltage loop operation is carried out on the output voltage and the adjusted reference voltage, and expected charging current is generated; pI current loop operation is carried out on the expected charging current and the inductive current sampling value after proportionality coefficient adjustment, and a PWM duty ratio control signal is output to adjust the driving states of the four switching tubes; when the judgment circuit is in an intermittent conduction mode and meets critical conditions, a driving signal of the fourth switching tube is shielded, and only a body diode realizes a current path to prevent reverse flow of current; the battery current is effectively prevented from flowing backwards, and the system safety and the energy utilization efficiency are improved.

An intra frame prediction method and apparatus based on interpolation filtering, a video encoding method and apparatus, a video decoding method and apparatus, and a system. The intra prediction method based on interpolation filtering comprises: determining, based on a determined filtering window and a reconstructed value of a sample in a reconstruction area neighboring to a current block, a filtering coefficient used to perform interpolation filtering on the current block; and performing interpolation filtering based on a sample value of a reference sample neighboring to a current sample and the filtering coefficient, to determine a predicted value of the current sample.

The invention discloses a film capacitor enabling control method and system, a medium and a program product, and the method comprises the steps: determining current sampling data and voltage sampling data of a film capacitor in a first time period; calculating an equivalent impedance sequence within a first time length, and determining distribution characteristics of impedance components under different frequencies; dividing a plurality of frequency band intervals, and calculating an impedance change rate matrix in each frequency band interval; determining energy transmission efficiency, and determining a target frequency band interval; generating a compensation coefficient, and adjusting the amplitude and the frequency by using the compensation coefficient to obtain a target sine-wave voltage; performing energizing processing on the thin-film capacitor by adopting the target sine-wave voltage within the remaining time of the energizing duration, and calculating an instantaneous power factor in real time; and when the stability of the instantaneous power factor reaches a preset condition and the leakage current is reduced below a preset threshold value, generating an enabling completion signal. According to the invention, the adaptability between the energizing effect and the actual demand of the thin film capacitor is improved, and the energizing effect is further improved.

The invention relates to the technical field of power distribution network power supply, and discloses a power distribution network power supply system based on time domain control, comprising a unified time service synchronization module used for establishing a unified time service link and keeping node time synchronization; the time domain acquisition and judgment module is used for acquiring a zero-crossover timestamp and voltage and current samples and determining candidate target moments and execution modes; the instruction generation and calculation module is used for calculating a zero-crossing time difference and an instantaneous voltage difference and generating a time domain action instruction set; the starting advance locking module is used for determining and locking starting advance; the instruction rechecking judgment module is used for rechecking the effectiveness of the instruction set; the action execution checking module is used for completing loop closing or loop opening at a candidate target moment and judging a border crossing state; and the time difference updating and correcting module is used for calculating a time deviation value and updating control parameters. According to the invention, high-precision time synchronization, dynamic self-calibration and action safety coordination control of the loop closing and opening process of the power distribution network are realized.

A method and apparatus for video decoding / encoding are provided. In the provided method, a decoder obtains at least one secondary signal by applying at least one fixed filter to a primary signal. The at least one fixed filter is trained offline. The decoder obtains one or more spatially adjacent samples associated with the current sample. One or more spatially adjacent sample points are from at least one of the primary signal or the at least one secondary signal. The decoder obtains filtered sample points by applying at least one online filter to one or more spatially adjacent sample points associated with the current sample point.

The invention relates to the technical field of three-phase electric energy meters, and discloses an equivalent apparent power implementation method, device and equipment of a three-phase electric energy meter and a medium. Comprising the following steps: acquiring cyclic wave voltage sampling data and cyclic wave current sampling data of each phase of the three-phase electric energy meter in at least one cyclic wave; calculating the equivalent voltage of the three-phase electric energy meter according to the cyclic wave voltage sampling data; calculating the equivalent current of the three-phase electric energy meter according to the cyclic current sampling data; and calculating the equivalent apparent power of the three-phase electric energy meter based on the equivalent voltage and the equivalent current. According to the invention, the accuracy of apparent electric energy charging and line loss calculation can be improved.

An example method of video coding includes receiving a video bitstream comprising a plurality of frames, including a current frame comprising a current block. The method also includes determining an edge direction by performing edge detection for the current block, and determining a difference between a current sample of the current block and a neighboring sample based on the edge direction. The method further includes applying a filter to the current block based on the determined difference.

The invention provides a current sampling method, a current sampling control device and a robot. The current sampling method comprises the following steps: acquiring a first sampling value and a second sampling value which are obtained by performing current sampling on a motor by a first sampling circuit and a second sampling circuit respectively; the sampling precision of the first sampling circuit is lower than that of the second sampling circuit; and when the first sampling value is smaller than a first threshold value, performing weighted average on the first sampling value and the second sampling value by using the first weight and the second weight to obtain a current value after weighted average as a current sampling value of the motor. The current sampling precision of the motor can be improved.

The invention provides a silicon controlled rectifier dimming circuit zero crossing point detection method and system based on deep learning, and relates to the technical field of circuit zero crossing point detection. The method comprises the steps that firstly, working condition information and voltage and current signals of a circuit are obtained, time and phase information of an initial zero crossing point are recognized through a pre-trained deep learning model (a circuit zero crossing point detection model), and training data of the model comprise a large number of working conditions and voltage and current samples with labels; after the silicon controlled rectifier circuit starts to work, the system detects the stroboscopic condition, and compares the actual stroboscopic value with the standard value to obtain the deviation degree. And finally, based on the initial zero crossing point information and the stroboscopic deviation value, calculating final zero crossing point information for adjusting and optimizing the working state of the circuit. The double verification mechanism obviously improves the accuracy and reliability of zero crossing point detection, so that the conduction opportunity of the silicon controlled rectifier is more accurate, a more stable dimming effect is realized, and the influence of a stroboflash phenomenon on the illumination quality is reduced.

The invention provides a current calibration method and device, a controller and electric equipment, and the method comprises the steps: obtaining a first current during the charging and discharging of a battery, carrying out the calibration of the first current according to a fitting function, obtaining a second current, and carrying out the monitoring of the charging and discharging process of the battery according to the second current. Wherein the fitting function is determined through a current data set obtained through a data enhancement algorithm, the data enhancement algorithm comprises an SMOTE algorithm and a generative adversarial network, and used current samples are amplified when the fitting function is determined, so that the fitting function is more accurate, the current precision can be improved, the BMS current sampling accuracy is ensured, and the BMS current sampling accuracy is improved. The battery utilization rate is improved; and the safety of electric equipment is ensured.

The invention discloses a residual current detection system and method based on wireless synchronization and software confluence, and relates to the technical field of residual current detection. A host central processing device receives current sampling data with timestamps from a slave central processing device through a signal receiver to complete centralized receiving of multiple paths of current signals; after the host central processing device receives synchronous current sampling data with timestamps transmitted by the slave central processing device, aligning and synthesizing multiple paths of time-synchronized current signals through a software confluence algorithm, carrying out vector summation on the multiple paths of current signals based on a vector operation principle, and calculating the vector sum of residual current; and judging whether a grounding fault or an insulation defect exists according to whether the vector sum is zero, if the vector sum deviates from the zero value, judging that residual current abnormity exists, and giving an alarm or recording fault information. The detection system effectively improves the accuracy, reliability and applicability of residual current detection.

The invention provides a strip steel hot continuous rolling industrial process monitoring method and device, and relates to the technical field of ferrous metallurgy industrial process monitoring. The method comprises the following steps: an off-line modeling stage: collecting multi-dimensional sensor data in the strip steel hot continuous rolling industrial process for standardized cleaning; carrying out data enhancement on the cleaned data by adopting DDIM; random shielding is carried out by using a feature focusing cooperation mechanism based on random shielding; constructing an unsupervised process monitoring model, and training the constructed unsupervised process monitoring model by using the data after the shielding operation; processing data reconstructed by the trained unsupervised process monitoring model by adopting a kernel density estimation method, and determining a control limit; and an on-line monitoring stage: judging whether the current sample is normal or not by using the control limit to realize abnormal working condition detection. By adopting the method, the monitoring sensitivity of the strip steel hot continuous rolling industrial process can be improved.

The invention discloses a class increment target detection method combining sample playback and an attention mechanism, and belongs to the field of target detection, and the method comprises the steps of dynamic sample selection playback, DETR model construction based on attention enhancement, and hybrid playback training. At the end of each incremental learning stage, dynamically replaying the samples, screening representative samples from the current task through a K-Center-Greedy algorithm, and storing the representative samples into a memory bank with fixed capacity; according to the DETR model based on attention enhancement, a channel attention module (SE module) is embedded in a target detection network DETR, and key feature expression is enhanced through feature channel re-calibration; the hybrid replay training is mainly characterized in that during new task training, a historical sample is extracted from a memory bank and mixed with a current sample to serve as a training set to be input, and cross-task knowledge fusion is achieved by jointly optimizing a detection loss function and an attention weight.

The invention discloses a manganin current sampling on-line self-correction method and system of an intelligent fusion terminal. The method and system are applied to the intelligent fusion terminal comprising a manganin diverter assembly. The assembly comprises a working resistor connected in series in a main current loop and a reference resistor for monitoring, the working resistor and the reference resistor are thermally coupled, and the reference resistor does not bear working current during normal sampling. The method comprises the following steps: respectively measuring real-time resistance values of the two resistors in a silent working window period; calculating a current actually measured resistance value ratio; obtaining an ideal resistance value ratio of the two in a stress relaxation-free ideal state; obtaining a correction resistance value ratio variable quantity according to a difference value between an actual measurement ratio and an ideal ratio; and finally, calculating a correction coefficient and updating a sampling channel parameter so as to compensate resistance drift caused by long-term electric thermal stress and realize automatic correction of subsequent current sampling. According to the method, on-line and high-precision self-correction independent of an external reference is realized, and the problem of long-term stress relaxation of a manganese-copper material is effectively solved.

The invention relates to the technical field of signal processing, and particularly provides a full-quantization spectrum characteristic statistical method, system and device and a storage medium, and the method comprises the steps: discretizing a current sampling signal frequency band into a continuous frequency point unit sequence according to a preset rule, and mapping a signal intensity value into an intensity level according to the preset rule; if the signal intensity exceeds the current noise base value, determining the frequency point range of the current sampling signal by extracting the center frequency point and the effective bandwidth of the current sampling signal, and recording the intensity level mapped for all frequency point units in the range once; if the signal intensity does not exceed the current noise base value, recording the intensity grade of mapping for one time for a frequency point unit in the frequency point unit sequence of the current sampling signal; and counting all involved frequency point units in the frequency spectrum recording process and the occurrence frequency of each intensity level recorded on each frequency point unit. According to the invention, the problem of virtual high background noise caused by a traditional peak value holding mode is solved.

A method comprising emulating (401) an implementation of a post-processing process of an SL-HDRx system before applying a pre-processing process of the SL-HDRx system using input color components of a current sample of a current picture up to a computation of at least one intermediate chroma component; determining (402, 404) that a value of the at least one intermediate chroma component is higher than a maximum chroma component value depending on a calculation precision set in the implementation of the post-processing process; applying (403, 405) a correction process on the input color components to obtain corrected color components for the current sample respecting at least a clipping prevention condition responsive to the value of the at least one intermediate chroma component is higher than the maximum chroma component value.

Embodiments of the disclosure provide a system and method of operating a power tool. The method includes measuring a battery current draw, sampling the battery current draw to generate a plurality of battery current samples, calculating an averaged current value by averaging the plurality of battery current samples, and comparing the averaged current value with a predetermined current value. The method also includes determining a number of motor revolutions, comparing the number of motor revolutions to a startup threshold, and determining a cycle is complete and stopping the motor when the number of motor revolutions exceeds the startup threshold and the averaged current value is greater than the predetermined current value.

The invention provides a charging pile verification method based on wireless communication, and the method comprises the steps: carrying out the data preprocessing of obtained multi-source operation data of a target charging pile, obtaining synchronous data with a timestamp, and enabling the synchronous data to comprise a voltage sampling data set, a current sampling data set, and an electric energy pulse data set; performing data encapsulation based on the synchronous data to obtain a transmission data packet, and sending the transmission data packet to a verification terminal through a wireless network; in response to the transmission data packet received by the verification terminal, carrying out data buffering and reordering on the transmission data packet based on the timestamp, and generating ordered time sequence data; based on the ordered time sequence data, time axis reconstruction and interpolation alignment processing are carried out, and an alignment data matrix is generated; and performing electric energy metering error analysis based on the alignment data matrix to obtain a charging pile verification result. By adopting the method, the accuracy and reliability of remote verification of the charging pile can be improved.

The embodiment of the invention relates to the technical field of wireless power supply, in particular to a voltage compensation method. The method comprises the steps of obtaining a target line resistance value and a target temperature coefficient, determining a calibration current which is obtained by calibrating an output current sampled by the wireless power supply system, determining a loss compensation value based on the target line resistance value and the calibration current, compensating the loss compensation value based on the target temperature coefficient, and outputting the compensated loss compensation value. Obtaining a voltage compensation value, determining a target voltage based on the voltage compensation value and a preset voltage value, and controlling the wireless power supply system based on the target voltage. According to the embodiment of the invention, the loss compensation value can be obtained according to the calibration current and the line resistance value to compensate the output voltage of the wireless power supply system, and the loss compensation value is corrected through the temperature coefficient to obtain a more accurate voltage compensation value, so that the output voltage of the system is more accurate, and the operation reliability and safety of equipment are improved.

The invention discloses a control method and device of a power supply system and the power supply system, and belongs to the technical field of power supply. The power supply system comprises power supply equipment and power metering equipment, the power supply equipment is connected with a grid-connected point, the power metering equipment is arranged at the grid-connected point, and the method comprises the following steps: controlling each phase of the power supply equipment to output power under the condition that the grid-connected point is matched with the phase of each phase voltage sampling line wiring of the power metering equipment; acquiring a current sampling power value of the power metering equipment; based on the current sampling power value and the power value of the power output of each phase of the power supply equipment, determining the phase matching condition of the grid-connected point and each phase of current sampling line wiring of the power metering equipment; and under the condition of phase sequence misconnection between the grid-connected point and the current sampling line, based on the phase matching condition of the grid-connected point and the wiring of each phase of current sampling line, adjusting the sampling output information of the power metering equipment. When the phase sequence between the grid-connected point and the current sampling line is misconnected, correct power data can be obtained without manually changing the wire harness.

The invention discloses a method for evaluating the residual service life of a bearing, and particularly relates to the technical field of bearings, which comprises the following steps of: applying a common-mode voltage of a simulation inverter driving motor to an intact bearing until the bearing is invalid so as to observe a key event of severely damaging the bearing; acquiring data of vibration, current and temperature in the process from operation to failure of the bearing to obtain original vibration, current and temperature samples; determining a discharge event in the original current sample based on a wavelet decomposition method; key vibration characteristics in the original vibration sample are extracted based on a time domain statistical moment method; based on the temperature data, the key vibration characteristics and the discharge event, a prediction result of the residual life of the bearing is obtained by using an extended Kalman filtering method; using the surge of the bearing discharge event as a cue to start estimating the bearing RUL, this new RUL estimation algorithm provides a more accurate result than the RUL estimation starting from the bearing life, and requires less computational time.

The invention relates to the technical field of current sampling, and discloses a current sampling chip circuit, a PCB and a current sampling device, and the current sampling chip circuit comprises a sampling input module, an operational amplification module and a sampling output module. The sampling input module is used for sampling current of a main circuit; the operational amplification module is used for amplifying the sampling current; the sampling output module is used for outputting a sampling current signal; the output end of the sampling input module is connected with the input end of the operational amplification module, and the output end of the operational amplification module is connected with the input end of the sampling output module; the sampling input module is used for accurately collecting the current of the main circuit, the operational amplification module is used for amplifying the sampling current, and finally the sampling output module is used for outputting the sampling current. High-precision current sampling is achieved through cooperation of the sampling input module and the operational amplification module, and compared with traditional resistor current sampling, power consumption is lower, and therefore high-precision and low-power-consumption current sampling is achieved.

The invention relates to the technical field of power system relay protection, in particular to a new energy power transmission line dynamic mode recognition protection method, system and device and a medium. Whether a protection algorithm is started or not is judged through the phase current break variable; acquiring a three-phase current sampling value at a protection installation position, and sending current sampling data of a home terminal to an opposite terminal protection device; after current sampling data of an opposite-end protection device are obtained, segmentation mode division is carried out on the current sampling sequence data; combining the mean value information of the segmented current sequence with the change direction to generate an improved mode symbol based on a ternary mode; calculating a dynamic mode matching distance between the currents at the two ends; and comparing the dynamic mode matching distance with a preset setting value, if the dynamic mode matching distance is greater than the setting value, judging that an internal short-circuit fault occurs and sending a tripping command, otherwise, judging that normal operation or external short-circuit fault occurs.

The invention provides a current sampling zero offset correction method and device. The current sampling zero-bias correction method comprises the following steps: determining a correction trigger opportunity, wherein the correction trigger opportunity is a moment when an output voltage vector of a power converter is in a zero vector state and a theoretical value of current flowing through a current sampling resistor is zero; sampling a current sampling channel through an analog-to-digital converter at a correction triggering time, and obtaining original sampling data under a zero current condition; processing the original sampling data to obtain a current zero current bias value and updating the stored current bias data variable; a corrected current value is determined based on the updated current bias data variable. By setting the specific correction triggering time and correction mechanism, the current sampling zero bias can be dynamically tracked and corrected online, automatically and in real time in the whole operation process of the driver, adverse effects caused by static deviation and dynamic temperature excursion are overcome, and the control precision and robustness of the system under all working conditions are improved.

The invention discloses a three-phase inverter few-sensor model prediction control method and device. The method comprises the following steps: acquiring voltage and current sample data based on a three-phase inverter model prediction control system; aiming at the sample data, constructing and training a neural network; and voltage and current signals are calculated by adopting a neural network, and model prediction control is implemented. According to the designed method, the number of sensors of the three-phase inverter model predictive control system is reduced, and the anti-interference performance of the system is improved.

The application relates to a method and device for monitoring over-error of a capacitive voltage transformer, electronic equipment and a computer readable storage medium. The method comprises: performing kernel principal component analysis based on historical sample data to determine an SPE statistical quantity threshold; calculating the SPE statistical quantity of current sample data collected in real time; if the SPE statistical quantity is less than or equal to the SPE statistical quantity threshold, determining that the operation state of the transformer group is normal; and if the SPE statistical quantity is greater than the SPE statistical quantity threshold, calculating the contribution rate of each element in the current sample data to the square prediction error statistical quantity, determining a fault element, and locating an over-error transformer in the transformer group. The application effectively processes the nonlinear problem of data by using KPCA, more accurately extracts data features, realizes fault element separation, accurately locates the over-error CVT, performs online real-time monitoring on the CVT error, and improves the stability and reliability of the power system.

The invention relates to the technical field of in-needle mixing, in particular to an in-needle mixing method and system based on ultrasound, and the method comprises the steps: providing an in-needle mixing device; obtaining a first ultrasonic feature and a second ultrasonic feature of the sample, wherein the first ultrasonic feature comprises a test uniform mixing degree obtained by uniformly mixing the first-class sample and the second-class sample for a target time length under a plurality of ultrasonic frequencies; the second ultrasonic feature comprises a test damage degree obtained by uniformly mixing a class of samples for a target duration under a plurality of ultrasonic frequencies; selecting a reference ultrasonic frequency corresponding to the current sample from the first ultrasonic feature and the second ultrasonic feature according to the type of the to-be-tested item; and controlling the in-needle mixing process according to the reference ultrasonic frequency. According to the in-needle ultrasonic mixing technology, the sample mixing operation can be simplified, and the damage degree of special samples such as cells in the ultrasonic process can be relieved or avoided.

A method for implementing an adaptive loop filter (ALF) in a video system is provided. A video coder receives data for a block of pixels to be encoded or decoded as a current block of a current picture of a video. The video coder receives a current sample of the current block. The video coder applies a filter to the current sample to generate a correction value. Neighboring samples from two or more different sources are used as inputs to the filter. When a first neighboring sample is within a virtual boundary, the first neighboring sample is used as an input to the filter. When the first neighboring sample is beyond the virtual boundary, the first neighboring sample is precluded as an input to the filter. The video coder adds the correction value to the current sample as a filtered sample of the current block.

The application discloses a lightning impulse grounding grid frequency characteristic analysis method, system, device and medium, including: obtaining initial sample data; using the sample and a preset test frequency set to construct at least two different structure rational function interpolation models, and calculating the output residual thereof in the test frequency band; determining the target frequency point with the maximum modeling uncertainty according to the residual, calling the moment method to supplement high-precision response samples at the point; based on the updated sample set, constructing a diagonal or near-diagonal form rational interpolation model, and judging whether the prediction error of the model at the target frequency point is lower than a preset convergence threshold; if the convergence condition is not met, returning to the multiple model construction step, reiterating using the current sample set until the error meets the standard, and finally outputting the grounding grid frequency response characteristics covering the lightning impulse frequency band. The application realizes efficient analysis of the grounding grid frequency characteristics under lightning impulse, and effectively reduces the time used for analyzing the grounding grid frequency characteristics under lightning impulse.

Embodiments of the present invention provide a short-circuit fault detection system and method. The short-circuit fault detection system includes a power supply module for supplying power to the detection system; a drive module coupled to the power supply module and a motor for converting the system voltage provided by the power supply module into a voltage for the motor to operate; a current sampling module coupled to the drive module for sampling the phase current of the motor; and a fault detection module coupled to the power supply module and the current sampling module, configured to acquire the phase voltage corresponding to the phase current of the motor and to perform an initialization self-test of the detection system based on the phase voltage.