4053 results about "Digital converter" patented technology

The invention discloses a virtual synchronous generator grid-connected current harmonic suppression method and system, and relates to the technical field of power systems, and the method comprises the steps: S1, carrying out the digital sampling of intermittent high-frequency disturbance through a wind power plant grid-connected current signal in a power grid through an analog-to-digital converter, and obtaining an original digital current sequence; s2, according to the original digital current sequence, analyzing a wind load frequency component by adopting a fast Fourier transform algorithm, and determining amplitude and phase characteristics of a high-frequency harmonic component; s3, if the amplitude of the high-frequency harmonic component exceeds a preset threshold value, extracting an intermittent disturbance harmonic sequence from the frequency component to obtain a to-be-suppressed harmonic subset; according to the virtual synchronous generator grid-connected current harmonic suppression method and system, the stability of a remote wind power plant power grid is remarkably improved, continuous monitoring and real-time suppression of intermittent disturbance are achieved, and high efficiency and reliability of power grid operation are guaranteed.

This invention pertains to an intelligent electronic device designed for sophisticated monitoring and analysis of electrical power distribution. The device integrates at least one sensor for detecting electrical parameters from a distribution system to a load, coupled with an analog-to-digital converter to transform sensed analog signals into digital data. A processing module, linked to the converter, employs customized moving average filters to calculate the frequency of electrical power distribution, enhancing measurement accuracy by adjusting for transient fluctuations. It retrieves frequency threshold settings from memory to define operational bounds, logging frequency data around identified deviation events when measurements surpass these thresholds. This system facilitates precise frequency analysis and robust event logging, providing a comprehensive solution for maintaining electrical power distribution within defined standards.

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 power equipment state detection, in particular to an ultrahigh-frequency partial discharge online detection system, method and device and a medium, and the system comprises the steps: collecting an initial discharge signal in real time through an ultrahigh-frequency sensor array, and carrying out the preprocessing of the initial discharge signal, so as to obtain an ultrahigh-frequency discharge signal; carrying out peak detection on the ultrahigh-frequency discharge signal, and triggering a high-speed analog-to-digital converter to collect an original waveform when the amplitude exceeds a preset threshold value; performing multi-dimensional feature extraction on the original waveform by using a digital signal processor to obtain multiple groups of dimensional features; identifying and classifying the multiple groups of dimension features based on a random forest algorithm, generating discharge type labels and confidence coefficients, and storing the discharge type labels and the confidence coefficients in a dynamic database; carrying out spatial position calculation on the ultrahigh-frequency discharge signal by adopting a time difference method, and determining a three-dimensional coordinate of a discharge source; the dynamic database and the three-dimensional coordinates of the discharge source are subjected to space-time correlation and multi-dimensional analysis, a defect analysis result is generated, and high-precision online detection of the partial discharge defect of the high-voltage equipment is achieved.

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 a high-precision temperature sensor based on complementary dynamic element matching and a zoom analog-to-digital converter and a working method, and belongs to the technical field of sensor improvement, and the sensor comprises an analog front end, an analog-to-digital converter, a digital rear end and a control logic. An improved chopping technology is adopted, and one clock signal is adopted to control two sub operational amplifiers, so that the output stability and precision of the analog front end are improved. A complementary dynamic element matching technology is utilized, errors caused by voltage drop at the two ends of a switch are reduced, the influence of channel charge injection is counteracted, a scaling type analog-to-digital converter design is provided for an analog-to-digital conversion part, and balance among power consumption, speed and precision is achieved. According to the method, a 10-bit successive approximation register analog-to-digital converter is used for measuring a numerical value and a change trend, and the numerical value and the change trend are analyzed, so that the expression effects of a current mirror structure, a transistor, a filter and the like are evaluated, the aging of the transistor is found in advance, and a clear direction is provided for future design improvement.

The invention discloses a noise reduction method and system for a high-performance TWS Bluetooth audio chip, and relates to the technical field of acoustoelectric integration, and the method comprises the steps: collecting an environment noise signal, synchronously obtaining a Bluetooth radio frequency interference signal, converting the Bluetooth radio frequency interference signal into a digital signal through a 24-bit analog-to-digital converter, and outputting a multi-modal noise feature matrix; performing noise separation and reverse sound wave generation on the multi-modal noise characteristic matrix by using a pre-trained lightweight CycleGAN model, and outputting a reverse sound wave signal; monitoring auditory meatus tightness parameters in real time, dynamically adjusting phase offset and frequency response balance parameters of the mixed noise reduction signals, and outputting optimized noise reduction signals adaptive to the current wearing state; and performing parameter calibration on the optimized noise reduction signal through anechoic chamber scene simulation and laser interferometer phase detection to generate a noise reduction control instruction set. According to the invention, the noise interference problem of the TWS earphone in a complex environment is effectively solved.

The invention relates to the technical field of integrated circuit temperature compensation and high-precision calibration, and discloses a high-density full-temperature trimming method and system based on a fuze chip. The high-density full-temperature trimming method is applied to chip trimming equipment and specifically comprises the following steps that S101, temperature information of a fuze chip is received, the working temperature range of the fuze chip is divided into a plurality of continuous temperature sub-intervals, calibration points are uniformly deployed in each sub-interval, and the temperature information of the fuze chip is acquired; the temperature coordinates of the calibration points are collected in real time through the high-precision temperature sensor and then quantized through the analog-to-digital converter. According to the method, the density of calibration points in subintervals is dynamically adjusted, nonlinear characteristics of a temperature sensitive area are effectively captured, and the local fitting error between adjacent calibration points is reduced to 0.02 DEG C or below in combination with a cubic Hermite interpolation and residual compensation algorithm. In addition, the local fitting error between adjacent calibration points is reduced to 0.02 DEG C or below through application of a redundancy check storage architecture and an interleaving addressing technology. And the single event upset resistance of the calibration parameters is improved.

An optical ranging system includes a coherent IQ receiver configured to receive a radio frequency (RF)-encoded optical signal, generate an in-phase (I) electrical signal and a quadrature (Q) electrical signal based on the RF-encoded optical signal; a first analog-to-digital converter (ADC) configured to convert the I electrical signal into an I digital signal; a second ADC configured to convert the Q electrical signal into a Q digital; and a processing circuit configured to generate a power signal having the target frequency by squaring the I digital signal and the Q digital signal, and summing a squared I digital signal and a squared Q digital signal. The processing circuit is configured to analyze the power signal to determine a signal phase corresponding to signal peaks associated with the target frequency, and determine a distance value based on a phase difference between the signal phase and a reference power signal.

The present disclosure involves a medical device. The medical device includes an elongate cable assembly having a distal connector, a proximal connector, and a cable body coupling the proximal and distal connectors. The distal connector is configured for coupling with a diagnostic medical device. The proximal connector is configured for coupling with a medical measurement system. An electronic component is located inside the distal connector or the associated cable housing. The electronic component includes an analog-to-digital converter (ADC) and a microprocessor. The ADC is configured to receive medical data gathered by the diagnostic medical device and convert the medical data into digital signals. The microprocessor is coupled to an output of the ADC and configured to process the digital signals into a format that is readable by the medical measurement system.

A method of operating a time-interleaved analog-to-digital converter (TIADC). The TIADC converts an input signal to generate a digital output signal and includes multiple asynchronous sub-ADCs. The asynchronous sub-ADCs each convert the input signal at a different time point to generate a digital output code, and each of the asynchronous sub-ADCs generates a completion signal upon completion of an analog-to-digital conversion operation. The method includes the following steps: generating an indication signal according to the completion signals, wherein the indication signal indicates multiple candidate sub-ADCs; selecting one of the candidate sub-ADCs as a target sub-ADC according to the indication signal; and correcting the digital output code of the target sub-ADC to generate the digital output signal.

The noise-shaping successive-approximation-register analog-to-digital converter includes a capacitive digital-to-analog-converter, a loop filter including a plurality of integration capacitors, and a multi-input comparator. During an integration phase, the capacitive digital-to-analog converter couples to the plurality of integration capacitors to develop an integration voltage. The integration capacitors are then arranged to passively apply a first gain to the integration voltage. The multi-input comparator also provides a second gain to the integration voltage.

A modulation signal processing apparatus and method is provided. The apparatus is applied to a microcontroller unit. The apparatus includes a first signal processing module and a second signal processing module. The first signal processing module is connected to an analog-to-digital converter of the microcontroller unit, and used for receiving a completion mark output by the converter, collecting a conversion value output by the converter, and generating corresponding bit data according to a total number of sampling times and a preset half-cycle value. The second signal processing module is connected to a PWM output timer of the microcontroller unit, and used for converting the bit data into a modulation data packet that complies with a Qi protocol, and respectively calculating a reload value of the PWM output timer and a corresponding frequency modulation parameter according to the modulation data packet and a preset modulation configuration parameter.

An integrated circuit may include a full-scale reference generation circuit that corrects for variation in the gain or full scale of a set of interleaved analog-to-digital converters (ADCs). Notably, the full-scale reference generation circuit may provide a given full-scale or reference setting for a given interleaved ADC, where the given full-scale setting corresponds to a predefined or fixed component and a variable component (which may specify a given full-scale correction for a given full scale). For example, the full-scale reference generation circuit may include a full-scale reference generator replica circuit that outputs a fixed current corresponding to the fixed component. Furthermore, the full-scale reference generation circuit may include a full-scale reference generator circuit that outputs a first voltage corresponding to the given full-scale setting based at least in part on the fixed current and a variable current that, at least in part, specifies the given full-scale correction.

The invention discloses a multi-channel parallel sampling high-dynamic response analog-to-digital conversion method, system and equipment and a storage medium, and belongs to the technical field of power electronics and signal processing, and the method comprises the steps: configuring a high-speed analog-to-digital converter channel to form a parallel sampling module, carrying out the alternate sampling of an input power grid analog signal, and generating a discrete sampling sequence group; inputting to a control unit to extract feature data, and calculating to obtain a fluctuation feature value; constructing a channel clock control vector, sending the channel clock control vector to each high-speed analog-to-digital converter channel, adjusting a sampling trigger moment, and re-executing analog signal sampling to obtain a sampling sequence after phase compensation processing; performing waveform reconstruction processing to obtain continuous reconstruction waveform data; and performing electric energy integral operation, and outputting a dynamic metering result. According to the invention, the problems of slow response, sampling distortion and large metering error of the analog-to-digital conversion system under the conditions of frequency fluctuation, unsteady disturbance and bidirectional power in the prior art are solved.

The embodiment of the invention provides a broadband signal dynamic generation method and system based on multiple clock sources, and the method comprises the steps: monitoring a target frequency in real time through a field programmable gate array, and automatically switching to a corresponding target clock source based on a frequency band to which the target frequency belongs; correcting the phase difference corresponding to the new and old target clock sources through a phase compensation register when the target clock sources are switched, and loading a compensation value to a phase offset register of a direct digital frequency synthesis chip; a fundamental waveform of a broadband signal is generated based on a direct digital frequency synthesis chip, multiple harmonic components are superposed through a fractional accumulation method, and each harmonic amplitude is independently controlled through a look-up table method; an output signal of the power amplifier is collected through the analog-to-digital converter, error information of the actually measured waveform and the theoretical waveform is extracted, the phase offset register and the harmonic amplitude look-up table coefficient are dynamically corrected, and a target broadband signal is output. Unification of broadband coverage, high resolution and quick response is realized.

The invention discloses an intelligent monitoring system for full life cycle aging of equipment based on Internet of Things, and relates to the technical field of Internet of Things equipment monitoring. Original analog signals are collected through an intelligent sensor, and conditioned analog signals are output by using a built-in adaptive gain conditioning circuit; converting the conditioned analog signal into a digital sequence through an adaptive analog-to-digital converter, carrying out dynamic sliding window filtering on the digital sequence, calculating derivative features according to the filtered digital sequence, combining original features with the derivative features to obtain a real-time feature vector, dividing the whole life cycle of the equipment into a running-in period, a stable period and a decline period, and carrying out dynamic sliding window filtering on the digital sequence; and constructing a feature state matrix of each stage, obtaining an equipment aging level based on the feature state matrix and the real-time feature vector, carrying out anomaly detection from three dimensions of time, space and features in combination with the equipment aging level, and executing different early warning strategies according to an analysis result. According to the invention, the accuracy of equipment life cycle monitoring is effectively improved.

The invention discloses a high-precision temperature measuring equipment correction system, and relates to the technical field of temperature measuring equipment correction, and the high-precision temperature measuring equipment correction system mainly comprises a hardware layer, an algorithm layer and an embedded layer which are electrically connected with one another. The hardware layer is used for acquiring temperature data, humidity data and pressure data; the hardware layer comprises a temperature sensor array, a humidity sensor, a pressure sensor and an analog-to-digital converter; the algorithm layer is used for correcting the temperature data according to the temperature data, the humidity data and the pressure data, and the algorithm layer comprises a data preprocessing module, a hybrid correction module and a dynamic compensation module; and the embedded layer is used for task scheduling and temperature data output. By implementing the high-precision temperature measurement equipment correction system provided by the invention, the correction precision, efficiency and reliability of the temperature measurement equipment can be improved.

A digital pre-processing chip is disclosed. The digital pre-processing chip comprises an analog interface for transmitting and receiving analog signals to and from a plurality of analog Radio Frequency (RF) chips, and a digital interface for transmitting and receiving digital signals to and from a baseband chip. The digital pre-processing chip further comprises a plurality of Analog-to-Digital Converters (ADCs) for converting a plurality of analog signals received via the analog interface to a plurality of RX digital signals, and a plurality of Digital-to-Analog Converters (DACs) for converting a plurality of TX digital signals to a plurality of analog signals to be transmitted to the plurality of analog RF chips via the analog interface. The digital pre-processing chip further comprises pre-processing circuitry configured to pre-process the plurality of RX digital signals received from the plurality of ADCs to form a pre-processed digital signal to be transmitted to the baseband chip via the digital interface. The pre-processing circuitry is further configured to pre-process a digital signal received via the digital interface to form the plurality of TX digital signals to be transmitted to the plurality of DACs.

The invention discloses a sensor array acquisition system for detecting gas, and relates to the field of gas sensors. The sensor array acquisition system for detecting gas comprises a gas sensor array, a signal conditioning circuit, an analog-to-digital conversion module, a control module and a power supply module. According to the sensor array acquisition system for detecting the gas, the voltage follower circuit with high input impedance is adopted, so that the problem of attenuation during signal acquisition of a high-impedance sensor is effectively solved, and the signal acquisition precision is improved. Through the adjustable direct-current bias circuit and the differential amplification circuit, the dynamic adjustment of the measurement range is realized, the gas detection requirements of different concentration ranges can be met, and hardware does not need to be replaced. A constant-current driving chip is adopted to control a sensor heating circuit, heating current can be accurately set by adjusting external resistance, it is ensured that the sensor works at the optimal temperature, and the stability and response speed of the sensor are improved.

The invention provides a laser radar ranging method based on parallel detection, which relates to the technical field of laser radar ranging, and comprises the following steps: generating N lasers with different wavelengths, splitting beams by a beam splitter, separating optical channels with N independent wavelengths by a demultiplexer, performing frequency shift processing, combining N paths of optical signals after frequency shift through a beam combiner, and combining the N paths of optical signals after frequency shift through a beam splitter; generating a beam of composite reference light containing N wavelengths, wherein each wavelength has a specific frequency shift; signal light returned from a target and the composite reference light are jointly input into a coupler for frequency mixing so as to generate an optical beat frequency signal, and operation processing is performed to calculate the target distance and the target radial speed corresponding to each wavelength. According to the laser radar ranging method provided by the invention, parallel detection of the laser radar can be realized, beat frequency signals corresponding to a plurality of different wavelengths can be distinguished only by integrating a group of detectors, a cross-group amplifier and an analog-to-digital converter, the cost is greatly reduced, and the complexity of the system is reduced.

The invention discloses a high-precision analog domain gain error shaping analog-to-digital converter and an implementation method thereof, and relates to the field of integrated circuit design. The high-precision analog domain gain error shaping analog-to-digital converter adopts a fully differential structure; comprising a first-stage sub analog-to-digital converter, a residual error amplifier and a second-stage sub analog-to-digital converter which are connected in sequence. A first-stage sub analog-to-digital converter is designed into a coarse-fine quantization architecture of an NS SAR ADC and a DAC, an input signal is sampled and quantized through the coarsely quantized NS SAR ADC to generate a first-stage digital code, and then the first-stage digital code is read to the finely quantized DAC. And the finely quantized DAC performs DAC array switching according to the first-stage digital code, and directly obtains the shaped first-stage quantization noise to realize gain error shaping. The method does not need to predict the first-stage quantization noise any more, solves the problem that the truncation error is not matched with the gain, and achieves a better gain error shaping effect.

An optical transceiver includes an electro-optic front end; a digital-to-analog converter (DAC) and an analog-to-digital converter (ADC) connected to the electro-optic front end; and one or more Field Programmable Gate Arrays (FPGAs) connected to the DAC and the ADC, wherein the one or more FPGAs are connected to one or more of a local memory and a remote storage for loading FPGA bit files, and wherein the one or more FPGAs are loaded with a forward error correction (FEC) encoding app and a FEC decoding app. The FEC encoding app and the FEC decoding app can be selected based on any of an optical application and a standard compliance requirement.

An oscilloscope having a Nyquist frequency lower than an analog bandwidth includes an input configured to receive a signal under test; an analog-to-digital converter (ADC) to receive the signal under test, sample the signal under test at a sample rate, and produce digital samples of the signal under test; one or more processors configured to execute code that causes the one or more processors to: determine a set of candidate unit intervals by generating corresponding candidate histograms using the candidate unit intervals; determine a best unit interval from the candidate unit intervals based upon entropy measures of each candidate histogram; and reconstruct a representation of the signal under test using the digital samples and the best unit interval.

This invention relates to a system and method for calibrating energy meters, designed to enhance the accuracy of electrical power measurements. The system incorporates a computing device with specialized calibration software, interfaced with multiple energy meters via a network switch. Each energy meter is equipped with a CPU and DSP, facilitating precise phase angle measurements. A configurable three-phase reference source, connected via power cables, supplies standard calibration signals to the meters. The DSP measures phase angles based on calibration commands triggered by control signals received by the CPU. These measurements are then transmitted to the computing device, which calculates necessary offset corrections. The corrections are subsequently communicated back to the CPU for adjustment of the energy meters' analog-to-digital converter settings, thereby ensuring the meters' outputs are accurately aligned with calibrated standards. This system provides a robust framework for reliable, high-precision energy meter calibration.

The invention discloses a liquid crystal display brightness adjusting system and method based on ambient light perception, and the system comprises a high-precision ambient light sensor which obtains the ambient light illuminance and color temperature data in real time; the analog-to-digital converter is used for converting the analog optical signal into a digital signal; an embedded microcontroller; the temperature sensor is tightly attached to the liquid crystal panel backlight unit; and the control input end of the liquid crystal driving chip is connected with the driving signal output end of the embedded microcontroller through a serial peripheral interface bus. The technical normal form of a liquid crystal display dimming system is fundamentally reconstructed: in a physical layer, photoelectric signals and human eye spectral response offset are corrected through a spectral separation mechanism, a carrier recombination effect is inhibited based on a thermodynamic equation, and the physical authenticity of brightness output is ensured; in a control layer, a motion state compensation model and a spatial topology perception algorithm are constructed, and brightness space-time consistency control in a dynamic scene is realized.

An analog-to-digital converter circuit according to some example embodiments includes a ramp signal generator configured to generate a first ramp signal which rises with a first inclination and a second ramp signal which falls with a second inclination, and a comparison circuit configured to output a comparison result between the synthesis signal of a pixel signal output from a pixel array and the first ramp signal and the second ramp signal.

A sigma-delta analog-to-digital converter is provided that includes an initial continuous-time integration stage having a variable input resistor and an integration capacitor. A switched-capacitor circuit charges and discharges a replica capacitor to a reference voltage to generate a bias current. A SAR-based tuning circuit includes a variable tuning resistor that generates a tuning voltage while conducting a mirrored version of the bias current. A resistance of the variable input resistor is adjusted responsive to a tuning code from the SAR-based tuning circuit.

The invention discloses an intelligent seabed energy detection system and method based on visible light communication, and belongs to the technical field of deep sea detection, the detection system comprises a data acquisition system (1) and a visible light communication system (2), the data acquisition system (1) structurally comprises a high-definition camera (11), an underwater sensor (12) and a first analog-to-digital converter ADC (13), the visible light communication system (2) structurally comprises a transmitting end and a receiving end; the detection method comprises the steps of front-end acquisition, signal conversion, signal processing, optical signal transmission and signal restoration. The characteristics of high frequency and large bandwidth of light waves are utilized, the intensity of light is modulated, binary code element signals are converted into optical signals, the optical signals are received through the photoelectric detector for underwater information transmission, efficient and real-time submarine energy monitoring and analysis are achieved, and comprehensive technical support is provided for development and utilization of submarine energy.

An apparatus as discussed herein can be configured to include a first analog-to-digital converter operative to convert a first analog voltage into a first digital signal; a digital-to-analog converter operative to convert the first digital signal into a second analog voltage; a switched capacitor circuit coupled to the digital-to-analog converter, the switched capacitor circuit is operative to store a sample of the second analog voltage; and a second analog-to-digital converter operative to convert an analog error voltage into a second digital signal, the analog error voltage based on a difference between the sample of the second analog voltage received from the switched capacitor circuit and a sample of the first analog voltage.