250 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 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.

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 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 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.

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 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.

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.

The application provides an information display method and device and a sample analyzer, applied to the technical field of computers, and the method comprises the following steps: in response to a triggering instruction of a user for a first function control, displaying state information of each loading position in a current sample rack and type and state information of each biological sample placed in the sample rack in real time on a first display interface, the type of the biological sample comprising a detected sample and a quality control sample; determining detection item information of a target biological sample according to a user operation; performing sample testing on the target biological sample selected by the user, and outputting detection information of the sample testing; and in this process, the sample information of the quality control sample and the sample information of the detected sample are displayed on one interface at the same time, the sample detection and quality control process can be intuitively displayed, the interactive convenience is improved, and the user experience is optimized.

The application relates to the technical field of lithium batteries, in particular to a circuit based on MOS tube conduction resistance temperature detection and protection. The circuit comprises a battery and main power circuit, a linear voltage stabilizing power supply circuit, a MOS drain-source voltage detection circuit, a current sampling detection circuit, an over-temperature comparison circuit, a proportional mapping circuit and a protection execution circuit. The B+ port of the battery and main power circuit is connected with the VIN port of the linear voltage stabilizing power supply circuit; the B- port of the battery and main power circuit is respectively connected with the GND port of the linear voltage stabilizing power supply circuit, the GND port of the MOS drain-source voltage detection circuit and the GND port of the current sampling detection circuit. Compared with the prior art, the circuit reduces the complexity of peripheral devices and wiring, reduces the system cost, effectively avoids the problem of protection failure caused by program abnormality, introduces a fuse or latch structure, avoids the risk caused by repeated triggering of traditional recoverable protection, and significantly improves the system safety level.

The application discloses a kind of control circuit and method of server standby power supply, including main power drive unit, analog PI regulator, current sampling conditioning circuit and OringFET tube;Main power MOS tube realizes main loop on-off control, and triode is used to change the gate voltage of main power MOS tube to control its conduction, cut-off;Analog PI regulator is composed of reference source and operational amplifier, reference source provides accurate reference voltage, and operational amplifier compares and adjusts current detection signal with reference voltage, dynamically corrects the control level signal of output, and then controls the on-off of main power MOS tube through driving circuit;Current sampling conditioning circuit includes sampling resistance and differential amplifier, and real-time acquisition main loop current is converted into identifiable voltage signal, to provide accurate data support for analog PI regulator.The application is applied when server is in shutdown state, and can be remotely executed by network to start, restart, install operating system or monitor hardware health state and the like operation.

A neural network system is provided, implementing a generative model for autoregressively generating a distribution for a plurality of current filter-bank samples of an audio signal, wherein the current samples correspond to a current time slot, and each current sample corresponds to a channel of the filter-bank. The system includes a hierarchy of a plurality of neural network processing tiers ordered from a top to a bottom tier, each tier trained to generate conditioning information based on previous filter-bank samples and, for at least each tier but the top tier, also on the conditioning information from a tier higher up in the hierarchy, and an output stage trained to generate the probability distribution based on previous samples for one or more previous time slots and the conditioning information from the lowest processing tier.

The present application relates to a kind of load self-awareness wide range error calibration method and system for internet of things electric energy meter.The method obtains the cycle level voltage, current sampling data and current range state of electric energy meter, extracts current step slope, power factor mutation quantity and harmonic envelope attenuation characteristics, judges whether range boundary event occurs, and determines the range boundary residual window caused by sampling front end gain switching, holding capacitor release and digital filter history state residue.In the residual window, the update of current gain, active power gain, phase compensation and other calibration coefficients is frozen, while normal electric energy metering is maintained;After the end of the residual window, generate or call residual fading template based on stable samples before and after the boundary, and gradually release calibration update weight according to cycle.The present application can reduce the risk of wide range calibration parameter pollution by transition sample in load mutation scene, and improve the stability of internet of things electric energy meter online calibration.

The application discloses a high-precision power frequency phase angle synchronous measurement method under an undefined frequency sampling condition, and the method comprises the following steps: cyclically recording a current sampling completion time t clk_k and a current sampling code value x k ; recording a pulse trigger time t clk_pulse when a synchronous pulse is triggered, and recording sampling values and sampling completion times of a certain number of cycles from the current time backward to form a sampling time-sampling code value record table; and performing fixed frequency correction on the sampling code values in the record table through high-order interpolation according to the current electrical quantity frequency. Since the application does not require very accurate sampling intervals and is not affected by context switching, interruption preemption and other problems, it is unnecessary to use a chip with higher performance of a bare core to process, chip cost is reduced, and therefore the application can be applied to low-voltage secondary devices which are more sensitive to cost.

The invention discloses a silicon carbide power module parallel current sharing device and an electric vertical take-off and landing aircraft, which are applied to the technical field of aviation power electronics and are used for solving the problems of poor real-time performance and reliability of the silicon carbide power module parallel current sharing device in the prior art. The method specifically comprises the following steps: a current sampling module collects branch current of each silicon carbide power module and correspondingly outputs a sampling voltage signal of each silicon carbide power module; the simulation error processing module correspondingly generates error adjusting voltage related to the current deviation of each branch through an internal hardware simulation circuit; and the gate driving adjustment module adjusts the reference ground potential of the corresponding gate driving chip according to the received error adjustment voltage. Through full-hardware and software-intervention-free simulation negative feedback closed-loop control, top-speed, automatic and self-adaptive current-sharing adjustment of the silicon carbide power modules connected in parallel is realized, and the device is insensitive to noise, so that the reliability of long-term operation is improved.

The invention relates to a method for encoding a signal comprising at least two zones and comprising the following steps for one zone (Zoj) comprising a plurality of samples (Pn) to be encoded, constructing (E22) at least one feature map representative of the zone; for at least one sample, referred to as the current sample (Pn), of the zone (Zoj) and associated with a point in the at least one feature map, encoding a data item, referred to as the current value (Vn), associated with the point, comprising evaluating (F221) a proximity criterion of the point with respect to a boundary of the zone, constructing (F221) a vicinity vector (Cn) of the point according to the proximity criterion, and entropy-encoding (F223, F224) the current value according to the vicinity vector (Cn); updating (E23, E26, E27) at least one value of the feature map according to an encoding performance measurement, and encoding the feature map (FMci j) representative of the zone.

The application provides an oscilloscope synchronization method, system and medium for a multi-machine converter, which comprises the following steps: synchronizing a local second counter with a pulse signal as a synchronization source; collecting a local timestamp; determining whether a product can be divided by a common multiple to obtain a determination result; if the determination result is no, performing frame processing on the sampling cluster data in the current sampling cluster period after the current sampling cluster period ends to obtain a data frame with the local timestamp; if the determination result is yes, resetting and restarting counting of the local microsecond counter and the sampling cluster timer, and performing frame processing on the sampling cluster data in the current sampling cluster period after the current sampling cluster period ends to obtain a data frame with the local timestamp; and uploading the data frame to a remote monitoring module to restore the data frame into waveform data according to the local timestamp. The application solves the synchronization problem of different period signals by using a common multiple, and realizes periodic synchronization of a multi-machine converter.

The invention discloses a power distribution network single-line single-phase earth fault detection method and system based on waveform image recognition in the technical field of power system relay protection. The method comprises the following steps: according to bus zero-sequence voltage, bus zero-sequence voltage break variable, line zero-sequence current and line zero-sequence current break variable, judging whether a single-phase earth fault occurs in a power distribution network; image conversion and fusion are carried out on a bus zero-sequence voltage sampling data set and a line zero-sequence current sampling data set within a set time range before and after the fault moment, or on a line three-phase current sampling data set within a set time range before and after the fault moment; carrying out fault detection by utilizing the trained waveform image recognition model to obtain a prediction probability P1 of a single-phase earth fault of the line; and according to the P1, the bus zero-sequence voltage sampling data set and the line zero-sequence current sampling data set, or according to the P1 and the bus zero-sequence voltage sampling data set, determining whether the line has a fault.