2647 results about "Analog signal" patented technology

The invention discloses a multi-dimensional information integrated transformer health state monitoring method, which relates to the technical field of power systems, and comprises the following steps: deploying a multi-source sensor, collecting various signals of a transformer, and carrying out signal conditioning and analog-to-digital conversion on analog signals collected by the sensor; performing timestamp alignment on the received multi-source heterogeneous data, and eliminating data noise by adopting a filtering algorithm; key features which are sensitive to the health state of the transformer and complement each other are selected from the extracted feature values to form a health state evaluation index set; setting a sliding time window, obtaining historical data in the window, performing normalization processing on the data, calculating the information entropy and the variation coefficient of each index, and fusing the information entropy and the variation coefficient to obtain the dynamic weight of each index; obtaining a health state index of the transformer according to the normalized value and the dynamic weight; and displaying the health state index and the change trend thereof in real time, and setting an early warning threshold value and an alarm threshold value of the health state index.

The technology relates to enhancing performance of quantum sensor operation in a noisy environment. Quantum neural networks are used to pre- and post-process analog signals to which qubits of a quantum sensor are exposed. Intra-processing using additional quantum neural networks may also be employed. This approach filters out noise from both the input analog signal and the system itself to achieve a very high signal to noise ratio. This permits the system to detect induced dynamics associated during exposure of the qubits to the analog signals. This enables the quantum sensor to sense a change in a state of a system under test, which can be beneficial for areas such as imaging, magnetometry, sensing electric fields, optomechanical sensors, quantum radar and other areas where enhanced signal to noise ratios are desired.

A temperature control device includes a temperature detector, a difference operation unit, a controller, a saturation processing circuit unit, a rewritable storage unit, and a conversion unit. The difference operation unit operates a digital value corresponding to a difference value between a detected temperature value and a target temperature. The controller calculates a manipulated variable using the digital value operated by the difference operation unit. The saturation processing circuit unit includes a digital circuit to limit an output value of the controller to a pre-set upper limit value. The rewritable storage unit stores the upper limit value read from a storage area of the rewritable storage unit and input into the saturation processing circuit unit. The conversion unit converts the output value of the saturation processing circuit unit into an analog signal to output the converted value as a control command value to the heater.

The invention discloses a dynamic neutral position and boundary self-calibration method and system of a joystick, and belongs to the technical field of engineering machinery and mining equipment control, and the method comprises the following steps: S1, electrifying equipment, and selecting a mode; s2, calibrating a dead zone; s3, setting a threshold value; s4, data storage; and S5, exiting and applying. According to the dynamic median and boundary self-calibration method and system of the joystick, when the joystick works, a physical manipulated variable is converted into an original electric signal through a joystick sensing unit, then the original electric signal is received through a signal processing module and subjected to signal conditioning, and an analog signal is converted into a digital signal which can be processed by a microprocessor; all logical judgments are executed through the main control unit, a user issues an instruction through a user configuration interface and directly inputs the instruction to the main control unit, the main control unit and the nonvolatile memory carry out bidirectional data interaction to realize permanent storage and calling of dead zone parameters, and the main control unit generates a final control instruction to be output after processing all information. And the actuating mechanism is driven.

The invention discloses an output voltage detection method and system based on an aviation power supply, and relates to the technical field of aviation power supply voltage detection. A differential voltage sensor is connected to the output end of an aviation power supply, a high-frequency suppression capacitor is connected in parallel, the sampling rate of 20-50 times of the working frequency is set according to the type of the power supply, and the signals are collected and converted into analog voltage signals; the analog signal is subjected to two-stage filtering, is amplified to 0-5V through an instrument amplifier, and is converted into a digital voltage sequence through a 16-bit ADC (Analog to Digital Converter); calculating AC power supply effective value, peak value and other parameters, DC power supply average value, ripple coefficient and other parameters; comparing the characteristic parameters with a preset threshold value, determining that the characteristic parameters exceed the threshold value and recording related information; and a detection result is transmitted to a monitoring terminal through an RS485, data is locally stored, and a switching value is output to an alarm device when the data is abnormal. The method adapts to aviation power supply load fluctuation and environment temperature change, detection precision is high, data transmission and storage are safe, abnormity is accurately identified and early warning is carried out in advance, and aviation power supply operation and maintenance reliability and efficiency are improved.

The invention provides an intelligent mine management and control method and system based on the Internet of Things technology, and relates to the technical field of mine management and control, and the method comprises the steps: obtaining the roadway feature data and mining progress data of a mine in a mine; the influence degree on sensor signal transmission is calculated according to geological stress change data and equipment electromagnetic radiation intensity, and the distribution positions of the sensors are planned by combining roadway distribution data. And generating a sensor migration path plan, adjusting a point distribution position to obtain an optimized point distribution position, simulating a signal propagation path by adopting a Monte Carlo algorithm, and identifying a key area of which signal attenuation exceeds a preset threshold value. And adjusting the optimized point distribution position of the key area to obtain key area distribution points, and formulating a sensor distribution and control scheme in combination with the optimized point distribution position. According to the invention, the distribution positions of the sensors are optimized, the monitoring efficiency and the stability of signal transmission are improved, and the real-time monitoring and dynamic adjustment of the mine environment are realized.

The present disclosure relates to the technical field of electromagnetic wave sensors, in particular to a signal transmitting, calibration, compensation and transceiving links, an integrated circuit, an electromagnetic wave sensor and a device, wherein the transmitting link includes an analog signal source and a digital phase shifter, the analog signal source may be configured to provide an initial analog signal, and the digital phase shifter may be configured to provide a phase shift signal in a digital domain and to perform phase shifting on the initial analog signal based on the phase shift signal, so as to perform a preset phase shifting operation on the initial analog signal, thereby effectively improving the phase modulation resolution and phase modulation accuracy.

The invention discloses an electricity testing measuring device for power equipment. The invention relates to the field of space electric field measurement, and solves the problems of unsafety and low anti-interference capability of an existing electricity testing scheme. The electric field sensor collects the electric field intensity in a non-contact manner, and the distance sensor synchronously collects the detection distance, so that a conventional contact type electroscope does not need to contact equipment through a telescopic insulating rod. The signal processing circuit preprocesses electric field intensity information and distance information respectively to obtain effective analog signals representing the electric field to be measured, and the defect that a traditional non-contact plate electrode sensor induces stray electric fields indifferentially is overcome. Besides, the judgment control circuit judges the electrification state according to the preset electric field threshold value corresponding to the current distance analog signal instead of a single fixed threshold value of a traditional device instead of adopting a fixed threshold value, the electric field distribution characteristics of equipment with different voltage grades are adapted, manual intervention is not needed, and personal safety is guaranteed. And the occurrence rate of production accidents caused by abnormal electrification of equipment is reduced.

The invention provides an LED lamp adaptive speed regulation heat dissipation method and system based on real-time junction temperature monitoring. The method comprises the following steps: S100, acquiring a PWM signal or an analog signal of an LED driving command signal in real time; s200, on the basis of the change of the driving instruction signal, feedforward prediction is carried out by using a dynamic thermal inertia mapping model, and a feedforward fan control quantity is generated; s300, LED junction temperature is monitored in real time through a forward voltage method, and feedback fan control quantity is generated through a feedback controller according to the deviation between the real-time junction temperature and the target junction temperature; and S400, synthesizing the feedforward control quantity and the feedback control quantity to generate a fan PWM control signal, outputting the fan PWM control signal to a fan driving circuit, and adjusting the rotating speed of the cooling fan. According to the method, driving signals and junction temperature information are processed in parallel, and feedforward and feedback control is combined, so that self-adaptive accurate regulation and control are realized, thermal load change is quickly responded, system lag is effectively inhibited, and LED heat dissipation performance is optimized.

The invention discloses a distribution box operation state monitoring method and system, and relates to the field of distribution boxes, and the system comprises an acquisition module which is used for collecting current and voltage signals of each loop in a distribution box, surface temperature distribution of a box body and opening and closing state signals of a cabinet door, and converting the collected analog signals into a digital signal sequence; the extraction module is used for receiving the digital signal sequence and extracting a signal fluctuation feature, a temperature field distribution feature and a state signal change feature to generate a three-dimensional feature set; the system can obtain loop electrical parameters, box body temperature and cabinet door state in real time, accurately analyze operation characteristics to deduce state trend, quickly position defective loop components and influence range in case of abnormity, scientifically evaluate health level, timely give an early warning, synchronously disconnect power supply of associated equipment in case of severity, effectively reduce fault shutdown, and improve work efficiency. The power utilization safety and the maintenance efficiency are improved, and stable operation of the distribution box is guaranteed.

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 invention discloses a partial discharge signal denoising method based on STFT-SVD and Bayesian kurtosis threshold adaptive optimization, and the method comprises the steps: collecting an analog signal outputted by a high-frequency current transformer, carrying out the analog-to-digital conversion, obtaining a one-dimensional time domain signal sequence, carrying out the DC component removal and amplitude normalization of the signal, and obtaining a preprocessing time domain signal; performing short-time Fourier transform on the preprocessed time-domain signal to obtain a time-frequency spectrum, suppressing low-amplitude noise by adopting a soft mask method, and retaining main characteristics of partial discharge pulses; performing singular value decomposition on the time-frequency spectrum after soft masking, automatically selecting a principal component number according to a principal component, and adaptively reserving a main signal component to obtain a principal component spectrum; and performing inverse short-time Fourier transform on the principal component atlas to reconstruct a time domain signal, adaptively selecting a kurtosis threshold in combination with a Bayesian optimization algorithm, and outputting a denoised time domain signal.

The invention discloses an end-to-end optical computing chip based on multi-mode analog signal fusion processing, and belongs to the optical computing technology. Comprising a multi-mode input fusion front-end module, an optical fiber input interface and an end-to-end reasoning module. The multi-mode input fusion front-end module can convert different types of original analog signals such as images, spectrums and radio frequencies into unified broadband spectrum input signals. The end-to-end reasoning module constructs a deep optical neural network, and the deep optical neural network comprises a sensing-convolution integrated unit realized by an arrayed waveguide grating (AWG). The end-to-end reasoning module further comprises a photoelectric non-linear-pooling integrated unit, the average pooling function and the non-linear activation function are achieved at the same time, and light path loss is effectively compensated through injection of the supply light source. And finally, integrating the signals subjected to multi-layer processing by a full connection layer, and outputting a classification result by an output layer. According to the chip architecture, direct and efficient processing of multi-mode analog signals is realized.

A sensor including at least one sensor element configured for measuring an external parameter and outputting one or more results representative for the external parameter, an output buffer configured for receiving the one or more results or a processed version thereof and for applying an analog signal representative for the result or a time multiplexed sequence of analog signals representative for the results on a sensor terminal, and a control circuit configured for obtaining an ID of the sensor, and for receiving a trigger signal, and for determining whether the trigger signal matches the ID of the sensor, and for enabling the output buffer during a predefined period when the trigger signal matches the ID of the sensor.

The invention provides an automatic detection method and system based on a GNSS receiver hardware module, and relates to the technical field of electronic equipment testing, and the method comprises the steps: carrying out the analysis of a preprocessed signal data set, extracting a signal feature boundary based on a convex hull algorithm, and carrying out the detection of the signal feature boundary; calculating key performance indexes such as signal acquisition time, tracking precision, bit error rate and receiving sensitivity; comparing the key performance index with a preset performance threshold value, automatically judging whether the hardware module of the GNSS receiver is qualified or not according to a comparison result, and generating a performance judgment result; and automatically generating a structured detection report based on a performance judgment result, and outputting the report to a specified terminal or a storage position. According to the invention, by simulating GNSS signal excitation, response signal acquisition, a signal processing algorithm and an automatic performance judgment criterion, a scheme for efficiently and fully automatically detecting various key performance indexes of the hardware module of the GNSS receiver is realized.

The invention discloses a current sensing measurement device and method, a storage medium and electronic equipment, and the device comprises an AC detection module which is used for sensing an AC current and outputting an AC current analog signal; the direct-current compensation module is used for acquiring magnetic induction intensity generated by a direct-current component of the detected current and outputting a differential voltage analog signal; the compensation module is used for outputting compensation current which is equal to the direct-current component in size but opposite to the direct-current component in direction based on the compensation control signal output by the signal processing module so as to offset direct-current magnetic flux generated by the direct-current component; and the signal processing module is used for calculating a direct current component, a compensation current and an alternating current based on the alternating current analog signal and the differential voltage analog signal, and outputting the compensation control signal based on the direct current component. According to the invention, direct current interference can be effectively suppressed, air gap nonlinear errors can be compensated, influences caused by environmental changes and equipment aging can be adapted, high precision and high reliability of a measurement system can be maintained during long-term operation, and the requirement of high-precision field calibration can be met.

The invention, which belongs to the technical field of the direct-current charging pile, provides a direct-current charging pile rapid detection diagnosis debugging system comprising a detection host, a multi-channel data acquisition module, an electric energy quality analysis module, an insulation resistance test module, a grounding resistance test module, a communication protocol analysis module, a temperature monitoring module and a fault simulation module. Parallel data acquisition is realized by adopting 16 independent analog signal acquisition channels and 8 digital signal acquisition channels, a parallel processing unit matched with the number of detection channels is started by utilizing a CUDA flow technology, preliminary fault screening is carried out at a GPU end through a rapid shallow model, and a layered diagnosis mechanism of accurate fault analysis is carried out at a CPU end through a deep model. And in combination with the charging pile fault identification model, real-time monitoring of the operation state of the charging pile and accurate identification and positioning of the fault are realized, and the technical problems of low real-time processing efficiency of multi-channel data and insufficient fault diagnosis accuracy are solved.

The invention relates to the technical field of intelligent monitoring of drop-out fuses, in particular to an integrated intelligent monitoring device and method for a drop-out fuse, and the device comprises a measurement module which is used for measuring the voltage and current analog signals of the incoming and outgoing line ends of the drop-out fuse; the peripheral controller is connected with the measuring module and is integrated with an AD acquisition unit, a data processing unit, a GPS positioning unit and a wireless communication unit; and the power supply module is connected with the peripheral controller and is used for supplying power to the device. The system has the beneficial effects that a plurality of key functions such as voltage and current acquisition, data processing, GPS positioning and wireless communication are highly integrated in a compact device, so that the size and installation complexity of equipment can be greatly reduced, the overall reliability and stability of the system can be effectively improved, and meanwhile, the failure rate of the equipment is reduced.

The invention provides a broadband beam forming acoustic Doppler velocity measurement system and method based on time delay control, which can transmit and receive broadband signals and solve the problem that the measurement precision of the existing acoustic Doppler velocity measurement system is influenced by bandwidth. The velocity measurement system comprises a transducer module, a beam forming module and a conversion module, the transducer module comprises a planar transducer array and an impedance matching module connected with the planar transducer array; the transducer module is in signal connection with the beam forming module through the conversion module, and the beam forming module is used for performing time delay compensation and weighting processing on a received signal; and the conversion module is used for converting the echo signal acquired by the transducer module into a digital signal and inputting the digital signal into the beam forming module, or converting a to-be-transmitted signal received from the beam forming module into an analog signal and transmitting the analog signal through the transducer module.

The invention provides a continuous time linear equalizer based on a low-pass and band-pass mixed structure. The continuous time linear equalizer comprises a frequency selection coupler, a low-pass transconductance unit, a band-pass transconductance unit and a load unit. The frequency selection coupler is used for separating the differential analog signal into a first voltage component in a first band-pass frequency range and a second voltage component in a low-pass frequency range, the first band-pass frequency range comprises a target frequency expected to be compensated, and the frequency in the first band-pass frequency range is greater than the frequency in the low-pass frequency range; the band-pass transconductance unit is used for converting the first voltage component into current and synchronously realizing gain amplification to obtain a first current signal; the low-pass transconductance unit is used for converting the second voltage component into current and synchronously realizing gain amplification to obtain a second current signal; the load unit is used for summing the first current signal and the second current signal and converting the sum to a differential output voltage signal. According to the invention, the frequency corresponding to the gain peak point and the gain amplitude can be improved.

The invention belongs to the technical field of gap measurement, and particularly relates to a high-temperature-resistant transparent shell type eddy current tip gap measuring device and method, and the device comprises a sensor probe module, a signal conditioning module, a data collection module and a data processing module. The sensor probe module is mounted on the outer wall of the casing; the sensor probe module comprises a permanent magnet excitation source, a soft magnet magnetic core and a receiving coil; the signal conditioning module is electrically connected with the receiving coil and is used for amplifying, filtering and integrating the weak induction signal; the data acquisition module is electrically connected with the signal conditioning module and converts an analog signal into a digital signal; the data processing module is used for processing the acquired digital signals and extracting blade tip clearance information.

An analog-to-digital converter (ADC) includes a first digital-to-analog converter (DAC) configured to change a signal level of a first node based on a first and second input analog signals, a second DAC configured to change a signal level of a second node based on one of the first input analog signal and the second input analog signal, a comparator configured to compare the signal level of the first node and the signal level of the second node, and a controller configured to generate a first digital value for the first DAC and a second digital value for the second DAC based on an output of the comparator during a first conversion phase corresponding to a first sampling phase, input the first digital value into the second DAC before a second sampling phase, and input the second digital value into the first DAC before the second sampling phase.

The invention relates to the technical field of military simulation and training, discloses a training system for analog signal combat and a training method thereof, and aims to solve the problems of insufficient confrontation authenticity, strategy solidification, cognitive depth deficiency and weak multi-domain cooperative capability of a traditional training system. According to the method, a dynamic confrontation deduction architecture with linkage of a physical domain, an electromagnetic domain and a cognitive domain is constructed, a distributed radio frequency array, a programmable attenuator and a multipath reflection simulator are deployed to realize high-fidelity signal propagation simulation, and full-band signal perception and feature extraction are completed in combination with a broadband digital receiver cluster and a central data fusion platform. An intelligent confrontation agent cluster driven by deep reinforcement learning and a cross-domain collaborative decision center are introduced; according to the technical scheme, the authenticity of the training environment, the intelligent adaptability of confrontation, the objectivity of evaluation and the sustainable evolution ability of the system are remarkably improved, and the signal game, dynamic response and cooperative command ability of trainees are effectively hammered.

The invention relates to a radio frequency transceiving multichannel amplitude-phase calibration system, which comprises a radio frequency receiver, a radio frequency transmitter, a data converter, an FPGA (Field Programmable Gate Array) processor and a clock network, wherein the radio frequency receiver adopts a zero intermediate frequency architecture and is used for receiving a multichannel radio frequency signal and down-converting the multichannel radio frequency signal into an analog baseband signal; the radio frequency transmitter adopts a zero intermediate frequency architecture and is used for up-converting the analog baseband signal into a radio frequency signal and transmitting the radio frequency signal; the data converter is connected with the radio frequency receiver and the radio frequency transmitter and is used for realizing conversion between an analog signal and a digital signal; the FPGA processor is connected with the data converter through a JESD204B interface and is used for aligning the data of each receiving and transmitting channel; and the clock network consists of a clock chip with JESD204B characteristics and a clock Buffer, and is used for providing a synchronous clock and an SYSREF signal for the whole system and supporting an SYNC synchronous trigger signal. By adopting the method, the problem of multi-channel amplitude-phase consistency can be solved.

The utility model provides a composite side slope monitoring device. The composite side slope monitoring device comprises a monitoring box body and a remote monitoring terminal, the monitoring box body can be buried in soil of a slope in a pick-and-place manner, and a sensor, a signal processing unit and a power supply unit are arranged in the monitoring box body; the sensor comprises a water content sensor for monitoring the water pressure change in soil, a soil pressure sensor for monitoring the pressure change of the soil, and a displacement and inclination sensor for monitoring and recording the displacement and inclination angle of the slope structure; the signal processing unit converts analog signals of the sensors into digital signals and transmits the digital signals outwards. The power supply unit is electrically connected with the sensors and the signal processing unit; the remote monitoring terminal is in signal connection with the remote transmitter and receives monitoring signals of the remote transmitter. The provided composite slope monitoring device can solve the problems that in a traditional soil slope monitoring scheme, arrangement of sensors is complex, and data collection is difficult, and the accuracy and real-time performance of geological disaster early warning are effectively improved.

The invention discloses a high-frequency and power-frequency data processing method and system of a double-core electric energy meter and the electric energy meter, and belongs to the field of electric power systems.The method comprises the steps that the double-core electric energy meter comprises a metering unit and a management unit, the metering unit obtains a first power-frequency analog signal through a first processing link, and the management unit obtains a second power-frequency analog signal through a second processing link; a first power frequency digital signal is obtained through filtering, analog-to-digital conversion and numerical calculation, a first high-frequency current analog signal is obtained through a second processing link, a second high-frequency current analog signal is obtained through filtering, the two kinds of signals are transmitted to a management unit through analog and digital signal channels respectively, and time alignment is carried out based on a time synchronization method. Therefore, by means of the electric energy meter, the problems that in the prior art, the sensing frequency band of an electric energy meter is narrow, and the legal function and illegal function coupling degree is high can be solved.

The invention discloses an SF6 gas density measurement and error compensation system based on dynamic segmented calibration, and relates to the technical field of gas pressure and density measurement, the SF6 gas density measurement and error compensation system comprises a gas pressure sampling module used for amplifying weak analog signals output by a pressure sensor and completing analog-to-digital conversion to obtain digital sampling data used for pressure calculation; the gas density calculation module is used for establishing a density solving model based on a preset physical state equation and outputting a gas density calculation value; and the gas density calibration module is used for carrying out segmented calibration on a pressure interval corresponding to a density calculation value by taking a preset reference pressure point as a reference and outputting a calibrated density measurement result. The invention provides a method for carrying out high-precision sampling and amplification on a weak signal, and solving the density based on rapid iteration of a Betti-Bridgman equation; the invention relates to an SF6 gas density high-precision measuring system which is linked with three systems and is dynamically segmented and asymmetrically calibrated by taking 0.5 MPa as a benchmark.

The invention relates to the technical field of data encryption, in particular to a USB multi-port equipment access encryption authentication method and system. Comprising a power supply module 100, a master control MCU unit 200, an analog signal switching unit 300, a USB expansion unit 400, a plugging detection unit 500 and a host interface unit 600, and the master control MCU unit 200 is connected with the analog signal switching unit 300, the USB expansion unit 400, the plugging detection unit 500 and the host interface unit 600 and used for achieving signal control and state management; the method does not depend on operating system permission or user behaviors, software installation is not needed, identification, authentication and control operations are completed completely through hardware, and non-bypassing performance is achieved. The problems that a traditional white list strategy is easy to bypass, needs to depend on authorization of an operating system and lacks physical isolation are effectively solved. The system supports upgrade authentication algorithms such as RSA, ECC and the like, supports a log recording function and a remote communication management module, can realize strategy adjustment through a firmware upgrade mechanism, and meets access management and control requirements of different scenes.

The invention discloses a high-efficiency UPS (Uninterrupted Power Supply) management system for well logging, and belongs to the technical field of power management. The system comprises a rectifier, a charger, a storage battery pack, an inverter, a change-over switch and a management module. The management module comprises an on-line monitoring unit, a power supply controller and a driving circuit, and the on-line monitoring unit collects UPS power supply operation state parameters in real time; the power supply controller receives and processes the parameters, and generates a control instruction according to a preset threshold value; and the driving circuit converts the control instruction into a driving signal and accurately controls the working state of the inverter. Wherein a signal conditioning circuit is arranged between the sensor module and the data acquisition unit and can perform enhancement and noise reduction processing on an analog signal output by the sensor. The driving circuit effectively resists well logging environment interference through cooperative work of an instruction amplifier, a photoelectric coupler and a field effect transistor, stable operation of a UPS power supply system is guaranteed, accurate control over the working state of an inverter is achieved, and it is ensured that stable and reliable electric power supply is provided for well logging equipment.

The invention provides a high-precision low-delay successive approximation analog-to-digital converter based on sampling noise elimination, and the analog-to-digital converter comprises a main capacitor group which generates an original combined signal according to an original sampling signal and primary sampling noise in a secondary sampling stage; the pre-quantization capacitor bank is used for driving a bottom plate switch of the pre-quantization capacitor bank according to the detection control signal, switching a capacitor weight through a weight control signal to execute pre-quantization operation on the original combined signal and outputting a swing suppression signal; the novel sampling noise elimination module is used for receiving the swing suppression signal, performing gain amplification, generating a purification amplification signal, detecting the differential swing of the original combined signal in real time, and generating a detection control signal and a pre-quantization code according to the differential swing; the successive approximation quantization module is used for generating a main quantization code and a weight control signal according to the purification and amplification signal in a quantization stage; and the digital processing module is used for fusing the pre-quantized code and the main quantized code to obtain a final digital code. And the energy efficiency and the conversion precision of analog signal conversion are obviously improved.