4793results about "Analogue-digital converters" patented technology

The invention relates to an anti-electromagnetic interference intelligent cooling fan system based on dynamic filter circuit design. The system comprises a dual analysis module used for performing time domain and frequency domain dual analysis on a rotating speed feedback signal of a double-ball fan to obtain a multi-dimensional electromagnetic interference characteristic model, and configuring filter network parameters to obtain a target three-stage cascade dynamic filter network; the signal purification module is used for collecting first fan operation parameters and inputting the first fan operation parameters into a target three-stage cascade dynamic filter network for signal purification to obtain filtered Hall sensor signals and filtered power supply signals; the closed-loop control calculation module is used for performing closed-loop control calculation to obtain a non-linear PWM duty ratio control quantity and a phase distribution parameter; and the phase difference control module is used for carrying out phase difference control to obtain a multi-fan cooperative control strategy. According to the invention, high-precision control and anti-interference capability in a wide rotating speed range are realized, and the problem of mutual influence of electromagnetic interference when multiple fans are connected in parallel is solved.

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

The invention discloses a multichannel high-precision PAF signal synchronous acquisition system and a multichannel high-precision PAF signal synchronous acquisition method, and relates to the technical field of phased array signal acquisition and processing, the multichannel high-precision PAF signal synchronous acquisition system is characterized in that a hydrogen atomic clock time-frequency distribution module is in signal connection with a plurality of signal acquisition processing boards, and each signal acquisition processing board comprises a double-loop phase determination clock circuit and an RFSoC circuit; and the double-loop phase determination clock circuit is in signal connection with the RFSoC circuit. The time-frequency distribution module adopts a time-frequency signal output by a hydrogen atomic clock as a reference, so that the synchronization precision is ensured; the clock architecture of the acquisition processing board card adopts a phase determination mode, so that a Tile clock and a PL logic clock in the board are strictly in phase with an external input reference clock, and ADC acquisition synchronization of all channels is ensured; a phase clock circuit design is determined by adopting double loops, and all output clocks and an input reference clock keep a strict phase relationship; the system adopts a three-step synchronization process, so that the synchronous acquisition of hundreds of paths of PAF signals reaches the ps-level precision.

The invention belongs to the technical field of signal acquisition and processing, and discloses a low-noise biopotential signal acquisition system and a low-noise biopotential signal processing method. An original bioelectricity signal of a human body is collected through an electrode array, and analog-to-digital conversion is carried out after the signal is processed by a multi-stage self-adaptive filtering and amplifying circuit. A digital signal is sequentially subjected to adaptive wavelet transform denoising and empirical mode decomposition to obtain a multi-level intrinsic mode function set, an intrinsic mode function of a characteristic frequency band is extracted from the multi-level intrinsic mode function set, and the signal is reconstructed. Introducing a dual noise reduction mechanism combining adaptive wavelet transform and empirical mode decomposition; a signal quality real-time evaluation system is established, and system parameters including the gain of a variable gain amplifier and the bandwidth of a dynamic band-pass filter are dynamically adjusted through closed-loop feedback. The self-adaptive optimization of the whole biopotential signal acquisition process is realized, various interferences are effectively inhibited, the signal characteristics are reserved, and the signal-to-noise ratio is remarkably improved.

Systems and methods for balancing remote oil and gas equipment are disclosed. An example system may include analog sensors coupled to a piece of equipment and an analog switch with a plurality of analog sensor channels, wherein a first analog sensor channel comprises a trigger channel coupled to a first of the analog sensors, and wherein a second one of the analog sensor channels comprises an input channel coupled to a second sensors. The analog switch may digitally derive a relative phase between the trigger channel and the input channel, utilize a PLL band-pass tracking filter to determine at least one of slow-speed RPMs or phase information for the piece of equipment, and a response circuit that provides a process change command to remotely balance at least one component of the piece of equipment based on the RPMs or the phase information.

Aspects of this technical solution can include a plurality of SAR TC stages configured to convert an input time signal to a digital code including a plurality of output signals each corresponding to a SAR TDC stage among the plurality of SAR TDC stages connected to an input of a following SAR TDC stage among the plurality of SAR TDC stages, where the SAR stage is controlled by a clock signal based on a delayed clock signal from a previous SAR TDC stage among the plurality of SAR TDC stages.

A system for data collection related to a fluid conveyance environment includes a data acquisition circuit comprising inputs and outputs; input sensors to provide sensor data values, coupled to a component in the fluid conveyance environment; and a processor comprising the data acquisition circuit. The processor is configured to determine a data storage profile; responsive to the data storage profile, configure the data acquisition circuit to selectively couple at least one of the inputs to at least one of the outputs; interpret the at least one of the sensor data values; store at least a portion of the at least one of the sensor data values in response to the data storage profile; analyze a set of the sensor data values and determine a data quality parameter; and adjust at least one of the data storage profile and a data collection routine in response to the data quality parameter.

The embodiment of the invention provides a signal processing circuit, a chip and electronic equipment. The signal processing circuit comprises an analog-to-digital conversion module and a signal amplification module, the first chopping switch module is used for modulating the differential input signal to high frequency under the control of a preset clock signal and inputting the signal to the signal amplification module; the second chopping switch module is used for modulating the differential output signal output by the signal amplification module to a low frequency under the control of a preset control signal and inputting the low frequency to the analog-to-digital conversion module; and the second chopping switch module also enables the analog-to-digital conversion module to establish sampling under the control of a preset control signal. According to the application, the second chopping switch module is multiplexed as a sampling switch of the analog-to-digital conversion module, so that the problem that on-resistance is increased due to the fact that a chopping demodulation switch and the sampling switch are arranged at the same time can be avoided.

The invention discloses a voltage acquisition circuit and power supply equipment, the circuit comprises a voltage acquisition end, a near-end sampling unit, a far-end sampling unit, a voltage selection unit and an anomaly detection unit, and the voltage acquisition end is used for acquiring voltage signals. The near-end sampling unit is connected with an output port of the power supply equipment, and the near-end sampling unit is used for collecting the voltage of the output port of the power supply equipment to obtain a first voltage. The far-end sampling unit is connected with the power port of the load and is used for collecting the voltage of the power port of the load to obtain a second voltage. The voltage selection unit is connected with the near-end sampling unit, the voltage selection unit is connected with the far-end sampling unit, the voltage selection unit is connected with a voltage acquisition end, and the voltage selection unit is used for transmitting a target voltage to the voltage acquisition end. The abnormity detection unit is connected with the far-end sampling unit, and the abnormity detection unit is used for detecting a reverse connection fault or a disconnection fault of the far-end sampling unit.

A post-processing-based quantum random number extraction method, apparatus and device, and a computer readable storage medium, the method comprising: converting an analog signal output by a quantum entropy source into a digital signal through a preset high-speed ADC to obtain an original random number; calculating a minimum entropy according to the obtained original random number; updating a preset Toeplitz large matrix by taking the original random number as a seed so as to obtain a first random number sequence and a first extraction proportion output by the updated preset Toeplitz large matrix; according to the minimum entropy and the first extraction proportion, quantum random numbers are extracted from the first random number sequence, the technical problem that in the related technology, a Toeplitz matrix is usually generated through a pseudo-random number generator or cyclically calls stored seeds, and consequently the safety of the extracted random numbers is poor is solved, and the safety of the extracted random numbers is improved. The random number seed of the Toeplitz matrix is updated in real time by using the post-processed random number, the possibility that a random number generator is controlled and cracked by an attacker is avoided, and the security of the random number is guaranteed.

A system for data collection related to a fluid conveyance environment includes a data acquisition circuit comprising inputs and outputs; input sensors to provide sensor data values, coupled to a component in the fluid conveyance environment; and a processor comprising the data acquisition circuit. The processor is configured to determine a data storage profile; responsive to the data storage profile, configure the data acquisition circuit to selectively couple at least one of the inputs to at least one of the outputs; interpret the at least one of the sensor data values; store at least a portion of the at least one of the sensor data values in response to the data storage profile; analyze a set of the sensor data values and determine a data quality parameter; and adjust at least one of the data storage profile and a data collection routine in response to the data quality parameter.

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 relates to a multi-channel acquisition module, system and method based on trigger synchronization automatic calibration, and belongs to the field of electronic measurement, the acquisition module comprises a channel conditioning and acquisition circuit, a trigger and input and output feedback circuit, a clock synchronization and calibration signal generation circuit and an FPGA receiving and synchronous calibration circuit; the method has the advantages that the multi-channel synchronization precision is high, convenient channel expansion is supported, pairwise interconnection delay calibration can be carried out between modules in parallel, the system calibration time does not increase linearly along with the increase of the number of the channels, the interconnection relation is realized through annular connection, and a large fan-out cable is not needed.

Disclosed are a pipelined successive approximation register analog-to-digital converter, an integrated circuit, and an electronic device. The pipelined successive approximation register analog-to-digital converter includes: a first-stage successive approximation register analog-to-digital converter (10), a residue amplifier (30), a second-stage successive approximation register analog-to-digital converter (20), and a digital coding unit (40).

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

The invention provides a common-mode feedback circuit and a differential amplifier thereof, the common-mode feedback circuit comprises a sampling circuit and an amplifier circuit, the sampling circuit comprises a first input end, a second input end and a first output end, the first input end receives a first differential signal Voutp, and the second input end receives a second differential signal Voutn; the level shift module comprises a third input end, a fourth input end and a second output end, receives a common-mode signal VCMS and a reference common-mode signal VOCM output by the sampling circuit, and adjusts the common mode of the common-mode signal VCMS and the reference common-mode signal VOCM to enable the second output end to output a common-mode feedback signal VCMFB processed by the level shift module; the amplifier circuit receives a common mode feedback signal VCMFB. After the technical scheme is adopted, the same speed as that of a differential loop can be realized, the current of a main operational amplifier can be multiplexed, the power consumption of a common-mode loop is far lower than that of a main loop, and meanwhile, the common-mode level can be randomly adjusted.

An SAR ADC includes: at least one sub-ADC, configured to convert a corresponding input signal to a corresponding SAR code; and a tuning control unit, configured to adjust a full-scale voltage (VFS) of each of the sub-ADC to a corresponding predetermined target level in a VFS tuning mode. The tuning control unit generates a tuning code to control an adjusting capacitor array coupled to the sub-ADC for tuning the VFS. The tuning control unit controls the sub-ADC to convert plural reference voltages in the VFS tuning mode and extrapolating the conversion result to determine a corresponding calibrating VFS. The tuning control unit determines whether the calibrating VFS meeting the target VFS and loops the adjusting process in a linear search method or in a SAR method.

The invention discloses a circuit for simultaneously switching transimpedances of multiple channels by adopting a shift register. The circuit is characterized in that an FPGA (Field Programmable Gate Array) is connected with a signal acquisition and conversion circuit module through an analog-to-digital converter and a clock generation and distribution module; the signal acquisition and conversion circuit module comprises a bias voltage setting module, a pi-type filter, a photoelectric sensor and a transimpedance amplification module which are connected in series; the input end of a transimpedance amplifier in the transimpedance amplification module is connected with a transimpedance gain access circuit, the transimpedance gain access circuit is connected with the output end of the transimpedance amplifier through an analog switch, and the control end of the analog switch is connected with the FPGA through a shifting register. According to the circuit and the method for simultaneously switching the transimpedances of the multiple channels by adopting the shift register, the transimpedance gain of the transimpedance amplifier is judged and switched according to the size of the signal, the range of the input signal is expanded, the resolution is improved, and the IO resources of the FPGA are saved and the cost is reduced by utilizing the storage function and the serial-parallel conversion function of the shift register.

The invention discloses a demodulation device, a rotary digital converter and a storage medium, relates to the technical field of rotary digital converters, and discloses the demodulation device, the rotary digital converter and the storage medium. Comprising an input processing module, a primary multiplier module and an output processing module which are sequentially connected in series, wherein the input processing module is used for searching and combining according to accessed phase information; the primary multiplier module is used for multiplying according to an accessed excitation signal and a modulation signal to obtain a signal to be output; the output processing module is used for adding the accessed signal to be output to output a demodulation signal; the input processing module is used for searching and combining, the excitation signal is generated under the condition that a multiplier is not needed, the demodulation signal can be generated only through the first-stage multiplier module and the output processing module, the hardware cost of part of multipliers is reduced, one-time quantization errors are avoided, and the decoding efficiency is improved. Therefore, the error of the demodulated signal is reduced, and the accuracy of the demodulated signal is improved to a certain extent.

The invention discloses a multi-channel AFE signal acquisition method and system based on adaptive adjustment, and the method comprises the steps: synchronously acquiring multi-channel analog signals through a multi-channel parallel AFE module, and configuring an independent programmable gain amplifier and an anti-aliasing filter for each channel; extracting time-frequency domain characteristic parameters of each channel signal in real time; dynamically generating an optimal adjustment strategy based on the time-frequency domain characteristic parameters, and adaptively adjusting the gain coefficient, the filtering bandwidth and the sampling rate parameter of each channel through a closed-loop feedback mechanism; and abnormal signal detection is realized by adopting an inter-channel cross validation algorithm, and automatic isolation of a fault channel and intelligent switching of a redundant channel are triggered. Through dynamic parameter intelligent adjustment, multi-channel cooperative fault tolerance and energy efficiency optimization architecture, the problems of signal distortion, response lag and high power consumption in a traditional multi-channel signal acquisition system are solved, and the signal fidelity and the system reliability are remarkably improved.

The invention discloses a signal sampling method for a multi-channel signal converter, and the method comprises the steps: carrying out the synchronous and parallel sampling of an analog signal source according to a multi-channel signal collection module, so as to obtain multi-channel original signal sequence data; performing inter-channel time delay calibration and amplitude normalization processing on the multichannel original signal sequence data to obtain a calibrated multichannel signal data set; the invention relates to the technical field of signal processing. According to the signal sampling method for the multi-channel signal converter, the multi-channel signal converter improves the data consistency and accuracy through the technologies of synchronous sampling, time delay calibration, amplitude normalization and the like, meanwhile, precision adjustment of self-adaptive filtering, dynamic threshold segmentation and entropy driving is adopted, signal interference and abnormal data are reduced, and the signal quality is improved. The non-uniform resampling and compression technology is adopted to optimize the storage and transmission efficiency, key data is ensured to be transmitted preferentially, hardware is accelerated through an FPGA, and the real-time performance and the processing capacity of the system are improved.

The invention discloses a multi-channel analog-to-digital converter for multi-channel frequency division multiplexing and a conversion circuit and method thereof, and the frequency division multiplexing multi-channel analog-to-digital conversion circuit comprises an analog frequency conversion module which is used for receiving N paths of modulation clock signals, and generating N paths of modulation clock signals according to the modulation clock signals, n paths of input signals are modulated to preset frequencies of the input signals respectively, and N paths of modulation signals are obtained; wherein N is greater than or equal to 2, and N is a positive integer; the frequency bands where the N paths of modulation signals are located are not overlapped; the analog adder is used for combining the N paths of modulation signals to obtain one path of analog signal; the input end of the analog-digital conversion module is connected with the analog-digital conversion module; the digital logic control module is used for receiving the N paths of modulation clock signals and separating the digital signals into N paths of digital signals which are output in parallel. Multi-channel analog-to-digital conversion can be realized by adopting one analog-to-digital converter, the hardware volume, cost and power consumption can be reduced, and the analog-to-digital conversion rate and precision can be improved.

The invention discloses an AD key adaptive compensation correction method and device, computer equipment and a storage medium, and relates to the technical field of intelligent control and signal processing, and the method comprises the steps: collecting a key signal in real time, converting the key signal into a digital signal, and carrying out the preprocessing; a PID control loop is used for preliminarily and dynamically adjusting a target threshold value, and parameters of a PID controller are optimized through combination of a PSO particle swarm and improved ITAE; outputting an error correction value by using the long short-term memory network to carry out final correction on the target threshold value; and performing signal decoupling on the digital signal by using SOGI-FLL, and constructing a key state model to obtain a real-time key state. A PID control loop and a PSO particle swarm optimization PID parameter are utilized, a target threshold value can be dynamically adjusted, the stability and accuracy of a system in various environments are ensured, the target threshold value is corrected through an LSTM neural network, the defects of a traditional method are effectively overcome, an SOGI-FLL is adopted to decouple digital signals, higher harmonic components are accurately analyzed, and the accuracy of the system is improved. And the reliability and the response precision of key identification are obviously improved.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component in at least one of an industrial boiler system or industrial pipeline system; a data storage structured to store a library of stored noise patterns associated with operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to: analyze the collected data, determine a measured noise pattern for the at least one industrial component, and compare the measured noise pattern to the library of stored noise patterns to identify a changed condition of the at least one industrial component.

A hookah device (202) which attaches to a hookah (246). The hookah device (202) comprises a plurality of ultrasonic mist generator devices (201) for generating a mist for inhalation by a user. The hookah device (202) comprises a driver device (202) which controls the mist generator devices (201) to maximize the efficiency of mist generation by the mist generator devices (201) and optimize mist output from the hookah device (202).

The invention provides an analog-to-digital converter, a conversion method and an electronic product. The analog-to-digital converter comprises a differential analog-to-digital conversion module and a compensation module, the differential analog-to-digital conversion module is used for eliminating sampling thermal noise based on a double-sampling mode and realizing analog-to-digital conversion of an input signal; the compensation module receives the compensation signal, the output end of the compensation module is connected to the input end of a pre-amplifier in the differential analog-to-digital conversion module, and the compensation module compensates the change of the input signal coupled to the input end of the pre-amplifier based on a differential mode; wherein the input signal and the compensation signal which are connected to the same input end of the pre-amplifier are differential signals. According to the analog-to-digital converter, the conversion method and the electronic product, the sampling thermal noise elimination technology is adopted, the signal bandwidth limited by the saturation problem of the amplifier is increased by adopting the first-order approximate compensation module based on the differentiating circuit, and the analog-to-digital converter has the advantages of being small in sampling capacitance, low in noise, large in signal bandwidth and the like.

A data and clock recovery circuit, a receiving apparatus, a circuit system, a vehicle-mounted device, a vehicle, and a data and clock recovery method are provided. The data and clock recovery circuit includes a sampler, a phase detector, a multi-order filter, a frequency change detection circuit, and a selector. The sampler is configured to sample an input signal based on a multi-order filtered signal to generate a sampled signal. The phase detector is configured to determine a phase difference in the sampled signal based on the sampled signal. The multi-order filter is configured to generate the multi-order filtered signal based on the phase difference. The frequency change detection circuit is configured to determine a frequency change direction of a spread spectrum clock in the input signal by using the phase difference.

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

An analog-to-digital converter circuit incorporating includes a multi-bit input buffer having a differential input and configured to generate, at a plurality of differential outputs, a plurality of residues of a differential input sample relative to a corresponding plurality of zero-crossing references. Chopping stages chop the residues, for example with a pseudo-random binary sequence. The circuit further includes zero-crossing comparators, each with differential inputs coupled to receive one of the chopped residues. The zero-crossing comparators are in an ordered sequence of zone thresholds within the input range of the circuit. Folding logic circuitry has inputs coupled to outputs of the comparators, and outputs a delay domain signal indicating a magnitude of the one of the residues relative to a nearest zone threshold. Digital stage circuitry generates a digital output word representing the received input sample responsive to the comparator outputs and the delay domain signal.

The invention relates to the field of signal processing, and provides a signal processing method and system for a reconnaissance unmanned aerial vehicle, and the method comprises the steps: carrying out the signal decomposition of a first intermediate frequency signal obtained through the frequency mixing of an unmanned aerial vehicle signal, so as to obtain a set of signal component intrinsic mode functions; a signal analysis and processing algorithm based on deep learning is adopted to carry out waveform semantic feature extraction on the intrinsic mode function of each signal component, so that a filtered first intermediate frequency signal is automatically generated based on the significant dynamic aggregation representation of the waveform semantic feature of each signal component in a global domain; the method can dynamically adapt to the change of a signal environment and extract more representative features so as to improve the flexibility of signal processing. Compared with a traditional fixed parameter filter, the method can better deal with interference and noise in a complex environment, enables the final signal to be clearer, and improves the signal processing quality and automation level of the reconnaissance unmanned aerial vehicle.