4504 results about "Signal transition" patented technology

The invention discloses an on-line detection method for gas in transformer oil based on photoacoustic spectrum self-correction, and relates to the technical field of spectrum detection and power equipment state monitoring, and the method comprises the following steps: S1, emitting modulation laser with a specific wavelength to a gas sample released by the transformer oil through a laser, and exciting gas molecules to generate photoacoustic signals; and S2, detecting the photoacoustic signal by using a photoacoustic sensor, converting the signal into an electric signal, and outputting the electric signal. According to the online detection method for the gas in the transformer oil, the correction coefficient is adjusted in real time through a self-correction algorithm, errors caused by light path changes and sensor aging are effectively compensated, the precision and stability of long-term detection are remarkably improved, and the detection accuracy is improved by combining a gas spectrum database and a mode recognition algorithm. According to the method, accurate qualitative and quantitative analysis of various gases is realized, the problem of cross sensitivity of multiple components is solved, and the method also has temperature and pressure compensation functions and can automatically adapt to environmental changes.

The invention discloses a metering equipment interference signal suppression method and system in an electromagnetic compatibility test, and the method comprises the steps: obtaining an input signal of metering equipment in the electromagnetic compatibility test, performing windowing processing on the input signal by adopting a self-adaptive fractional order window function, and then obtaining a frequency spectrum component of the input signal through self-adaptive fractional order Fourier transform; calculating the amplitude of the frequency spectrum component, comparing the amplitude with a power threshold value, and screening out the frequency spectrum component of the interference signal; establishing a spectrum model of the interference signal based on the interference signal spectrum component; and generating a frequency domain compensation signal considering interference signal phase correction, converting the frequency domain compensation signal into a time domain compensation signal, and superposing the time domain compensation signal and the input signal to obtain a signal after interference suppression. According to the method, the frequency spectrum characteristics of the signals in different frequency bands can be ensured to be clear, the interference signal components can be accurately identified, the energy distribution of the interference signals can be effectively simulated, and the high-efficiency interference suppression capability can still be kept in a variable signal environment.

The invention relates to the technical field of coal mine telemetering, in particular to a mining laser methane telemetering system based on multispectral fusion, which comprises a multispectral laser emission module, an optical receiving and signal conversion module, a multispectral fusion processing module, an intelligent algorithm compensation module, a data transmission and display module and a power supply module. According to the method, accurate and real-time monitoring of the methane concentration in the coal mine environment is achieved, reliable guarantee is provided for coal mine safety production, compared with a traditional neural network compensation model, the optimized neural network compensation model has the advantages that the methane concentration compensation precision is greatly improved, the generalization ability of the model to different environment conditions is obviously enhanced, and the method is suitable for popularization and application. Accurate measurement of methane concentration can be realized in a more complex and changeable coal mine environment. Meanwhile, due to the application of a dynamic weight compensation mechanism and an uncertainty quantification and compensation adjustment method, the reliability and the stability of a measurement result are further improved, and a more powerful guarantee is provided for safe production of a coal mine.

The invention discloses a pipeline defect identification method and device, a storage medium and equipment, and belongs to the technical field of pipeline defect detection. The method comprises the following steps: S1, acquiring a time sequence sound signal acquired by an acoustic sensor arranged on the inner wall and / or the outer wall of a pipeline; s2, performing spectrogram extraction on the time sequence sound signal to obtain a Mel spectrogram and a LOFAR spectrogram; and S3, performing feature extraction on the Mel spectrogram, the LOFAR spectrogram and the time sequence sound signal through a deep learning model of multi-modal signal fusion to obtain a feature vector containing spectrogram features and time sequence features, and performing classification according to the feature vector to obtain a classification result of pipeline defects. According to the method, the acoustic signals are converted into different types of spectrograms, the original time sequence signals are combined, feature extraction, fusion and classification are carried out through a deep learning model, complementary information of the spectrograms and the time sequence signals is fully utilized, the limitation of a single recognition mode is overcome, and the accuracy and robustness of pipeline defect detection are improved.

The invention relates to a compact polarization rotation beam splitter, which comprises an input waveguide, a mode conversion region, a mode coupling region and an output waveguide, a TM0 mode optical signal in the optical signals is converted into a TE mode high-order optical signal in the mode conversion area; the mode coupling region is used for coupling the TE mode high-order optical signal into a TE0 mode optical signal with the first adiabatic coupling waveguide; and the output waveguide is used for outputting a TE0 mode optical signal which is not subjected to mode conversion in the optical signals, and outputting a TE0 mode optical signal obtained after mode conversion of the mode conversion area and the second adiabatic coupling waveguide. According to the invention, the polarization rotation path can be shortened through high-order mode conversion in the mode conversion area, efficient beam splitting is realized by using the asymmetric adiabatic coupling waveguide in the mode coupling area, the size reduction of a redundant structure is avoided through function integration, the performance of the beam splitter is ensured, and the problems of large size and low cost of the existing polarization rotation beam splitter are solved. And the performance is not good.

The invention discloses a multi-person posture recognition method based on CSI (Channel State Information) and an attention mechanism, and the method comprises the steps: constructing a multi-person posture recognition system MultiFormer based on the CSI and the attention mechanism, designing a double-TokenTransformer architecture of a time-frequency double-domain Token TFDDT, converting an original CSI signal into a time domain Token and a frequency domain Token, maintaining the local feature continuity of the time domain and the frequency domain, and carrying out the recognition of the posture of a plurality of persons. And a multi-stage feature fusion network MSFN is developed to optimize a part thermodynamic diagram PCM and a part associated field PAF, and the fusion of CSI features and an intermediate attitude thermograph is realized through an adaptive channel-space attention mechanism, so that the anatomical consistency is ensured, and a multi-person scene is supported. According to the method, a MultiFormer system is provided and is different from existing CSI imaging processing, an interpretable TFDDT preprocessing method is adopted, the system adopts a multi-stage heat map estimation method to realize global attitude perception, the estimation precision is improved through iterative optimization, a multi-person scene is supported, attitude topology conforming to an anatomical structure is generated, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. The method has the characteristics of privacy protection, low cost and no influence of illumination.

The invention discloses a power distribution equipment on-line monitoring system based on multi-modal data fusion, and relates to the field of power distribution equipment management, and the system comprises a sensing module which is used for collecting an electrical signal, a thermal infrared signal, a mechanical vibration signal and an acoustic signal generated in the operation process of power distribution equipment through a multi-type sensing channel, converting the collected various signals into processable equipment state original data to form an equipment operation state original data set; according to the invention, through accurate acquisition of multi-dimensional signals, combination of space mapping and time delay compensation, data quality is optimized, the reliability of original information is ensured, key features are extracted according to working conditions, subtle state changes are captured by means of temperature field analysis and a variable-resolution spectrum technology, the comprehensiveness, accuracy and response timeliness of equipment operation monitoring are effectively improved, and the real-time performance of equipment operation monitoring is improved. Misjudgment and missed judgment are reduced, and fault risks are avoided in advance.

The invention discloses a dual-mode analog front end with a full-speed clock-free decision feedback equalizer (UC-DFE). The dual-mode analog front end comprises a terminating impedance matching network, a linear processing link, the UC-DFE and a signal output module, the terminating impedance matching network realizes broadband impedance matching and electrostatic protection; the linear processing link comprises a CTLE and a VGA and is used for compensating channel attenuation and expanding signal bandwidth; the UC-DFE comprises a summator, a static comparator, a delay unit and a feedback tap, and realizes high-speed signal processing and feedback equalization; and the signal output module converts the balanced signal into a target coding format and outputs the signal. According to the invention, the overall performance of the circuit is improved, the problems of time sequence tension, bandwidth limitation and the like of the traditional DFE architecture at a high speed are solved, and the circuit is suitable for 128Gbps high-speed PAM4 and NRZ signal transmission and shows better comprehensive performance.

The invention provides a cross-medium remote control communication method, device and equipment and a storage medium, which are applied to a cross-medium remote control system comprising a transmitting end and a receiving end. The method comprises the following steps that: a transmitting end responds to a key operation of a user, generates a key signal, codes the key signal, and generates a modulation electric signal containing a synchronous head signal and an instruction frequency signal; environment parameter information is collected, dynamic parameter adjustment is carried out on the modulation electric signal according to the environment parameter information, and the adjusted modulation electric signal is converted into a modulation light signal through an LED; a receiving end receives the cross-medium transmission optical signal, carries out amplification and digital processing, and extracts frequency characteristic information through spectrum analysis; and analyzing a control instruction according to the frequency characteristic information and executing corresponding equipment control operation. Through the specific time-frequency signal structure design and the multi-stage signal processing technology, the stability problem of water-air interface signal transmission is effectively solved, and low-delay and high-success-rate cross-medium remote control communication is achieved.

The invention provides a computing device. The computing device comprises a PCB (Printed Circuit Board), a computing chip and one or more optical modules, the computing chip is arranged on the PCB and comprises one or more input and output high-speed interfaces. Each input / output high-speed interface has one or more input high-speed ports and one or more output high-speed ports. Each output high-speed port performs parallel-serial conversion on a parallel signal in the computing chip to output a first electric signal, and each input high-speed port performs serial-parallel conversion on a received second electric signal serving as a high-speed serial signal. The one or more optical modules are arranged on the PCB, and each port in the electric input and output interface of each optical module is electrically connected with the corresponding input or output high-speed port in the computing chip through wires in the PCB. Each optical module converts the received first electrical signal into a first optical signal and converts the received second optical signal into a second electrical signal.

A signal for wireless transmission is modulated by converting a serial sequence of symbols in the time domain into parallel symbol streams, transforming the parallel symbol streams into the frequency domain, mapping the resulting frequency domain signals onto subcarriers, converting the mapped signals into the time domain and converting the parallel time-domain signals into a serial signal. The serial signal is subjected to chirping and is transmitted to a receiver after adding a cyclic prefix (CP). The receiver removes the CP from the signal and, after de-chirping the prefix-less signal, converts the signal into parallel signals. The parallel signals are converted into the frequency domain for channel estimation, equalisation, and subcarrier mapping of detected symbols. The mapped symbols are transformed into the time domain before converting them into a serial stream of symbols.

According to the SiC MOSFET global short circuit and overcurrent protection circuit and the control method thereof provided by the invention, when a short circuit fault occurs in the SiC MOSFET, the drain current ID is more than several times of the rated current of the SiC MOSFET. When a short circuit occurs, a transistor QDZ of the short circuit detection circuit is switched on by node voltage Vr of the resistance-capacitance filter circuit, a fault signal VFAULT is converted into a low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET; when an over-current fault occurs in the SiC MOSFET, drain current ID is higher than rated current, node voltage Vo of the resistance-capacitance filter circuit lasts for a long time, the maximum value of capacitor voltage Vch of the over-current detection circuit is higher than reference voltage Vref2, a fault signal VFAULT is converted into low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET. According to the invention, high-speed short circuit and over-current fault protection of the SiC MOSFET in all inductance regions of a commutation loop can be realized.

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 relates to the technical field of particle accelerators, in particular to a transverse feedback system with a switchable excitation direction and a control method thereof, and the system comprises a beam position detector BPM which is used for measuring a beam signal; the RF front end is used for receiving the beam signal sent by the beam position detector BPM and carrying out amplification and filtering processing; the ADC module is used for converting the beam signal into a digital signal; the digital signal processing module is used for carrying out digital signal processing calculation to obtain an excitation signal; the DAC module is used for carrying out digital-to-analog conversion; the power divider is used for adjusting the phase of the excitation signal; the exciter comprises four Kickers with electrodes, a power amplifier, a low-pass filter and a matched load and is used for applying a transverse excitation signal to the beam current, and the problems that in the prior art, a transverse feedback system Kicker occupies a large longitudinal space, the system is complex, and precision and efficiency are low are solved.

An apparatus (and / or method) for training machine-learning model to make determinations from mismatched channel signals, wherein the apparatus includes a processor and memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a first set of signals using a first number of channels, process the first set of signals to simulate a second set of signals from a second number of channels, train a signal conversion model using the first set of signals and the second set of signals, and output a set of converted signals having the first number of channels using the third set of signals and the trained signal conversion model.

The invention discloses a method and device for detecting the moisture content of an insulating material, and relates to the field of insulating material detection.The method comprises the steps that a to-be-detected transmission terahertz time-domain signal is obtained; the to-be-detected transmission terahertz time-domain signal is a time-domain signal obtained after terahertz waves are emitted to the to-be-detected insulating material and penetrate through the to-be-detected insulating material; converting the to-be-measured transmission terahertz time domain signal into a frequency domain signal to obtain a to-be-measured transmission terahertz frequency domain signal; performing feature extraction on the to-be-measured transmission terahertz time domain signal and the to-be-measured transmission terahertz frequency domain signal to obtain terahertz frequency spectrum features of the to-be-measured insulating material; the terahertz frequency spectrum characteristics comprise a time domain signal peak value difference value and an absorption coefficient integral value; and determining the moisture content of the to-be-detected insulating material according to the terahertz frequency spectrum characteristics of the to-be-detected insulating material and the quantitative curve of the terahertz frequency spectrum characteristics and the moisture, and realizing nondestructive detection of the moisture content of the to-be-detected insulating material.

A method of decoding a received communication signal is provided. The method may comprising converting the received communication signal to the frequency domain to provide frequency domain data. The method may further comprise combining amplitudes of one or more selected frequency components of the frequency domain data, the one or more frequency components being selected according to a predefined communication symbol comprising one or more selected frequency tones corresponding to the one or more selected frequency components. The method may further comprise detecting the predefined communication symbol in the received communication signal depending on the combined amplitudes of the one or more selected frequency components of the frequency domain data.

The invention provides an adjustable power distribution circuit capable of realizing any polarization mode, the adjustable power distribution circuit is positioned between a radio frequency circuit and at least one antenna assembly, the adjustable power distribution circuit comprises an input signal part, at least two signal control parts, a processing unit and at least one orthogonal coupling circuit, the input signal part can convert a radio frequency signal from the radio frequency circuit into a plurality of corresponding input signals and transmit the input signals to each signal control part, each signal control part can convert the input signals into corresponding control signals according to a processing instruction of the processing unit and then transmit the control signals to the orthogonal coupling circuit, and the orthogonal coupling circuit transmits the control signals to the radio frequency circuit. And the orthogonal coupling circuit generates two output signals with a phase difference of 90 degrees, and transmits the output signals to the antenna assembly. Therefore, the adjustable power distribution circuit can enable the antenna assembly to form a linear polarization mode, a circular polarization mode or an elliptical polarization mode in any direction according to actual requirements of products.

The invention discloses a cascade module non-intrusive monitoring method and system, and the method comprises the steps: obtaining a voltage signal of a DC bus in a preset time window length, obtaining a voltage fluctuation time domain signal, carrying out the signal conversion of the voltage fluctuation time domain signal through employing fast Fourier transform, carrying out the extraction, obtaining a plurality of main frequency components, and carrying out the extraction of the main frequency components; obtaining capacitance attenuation degree data according to each main frequency component, then judging whether the coupling strength index is related to the capacitance attenuation degree or not according to voltage fluctuation data of adjacent sub-modules of the direct current bus, and if yes, performing feature extraction on fluctuation coupling information by using a prediction neural network to obtain a monitoring feature vector, the optimized non-intrusive monitoring model is obtained through the monitoring feature vector, the optimized non-intrusive monitoring model is used for analyzing the voltage fluctuation data of the direct-current bus, the capacitance attenuation degree is obtained, and the accuracy and reliability of capacitance attenuation monitoring are improved through the method.

The invention relates to the technical field of integrated circuit board manufacturing and packaging, and discloses an integrated circuit board manufacturing and packaging method and system based on laser measurement, and the method comprises the steps: sensing arrangement: employing a focusing lens to focus a laser beam to the surface of a substrate, arranging a reflector and a spectroscope to guide the laser beam to the surface of the substrate, meanwhile, a sensor is arranged in the packaging equipment for monitoring; signal conversion: receiving a reflected light signal by adopting a silicon photodiode, and converting the reflected light signal into an electric signal; data acquisition: acquiring electric signal data, environment data and substrate information data; data calculation: calculating a warping prediction index and an offset prediction index; data evaluation: evaluating the packaging effect index; and comprehensive judgment: according to the packaging result index, judging whether automatic adjustment and compensation need to be carried out, and under the condition that automatic adjustment and compensation need to be carried out, calculating a compensation coefficient to carry out automatic compensation, so that active suppression of the substrate warping offset defect and intelligent improvement of the process efficiency are realized.

The invention discloses a tunable excited Raman spectrum microimaging method and device, and belongs to the field of spectrum detection and optical imaging. The device comprises a broadband adjustable wavelength light source, a high-resolution wavelength scanning module, a stimulated Raman signal excitation module and a stimulated Raman signal detection module. The stimulated Raman signal excitation and imaging module is used for focusing the two beams of narrow-band femtosecond pulse light which are overlapped in time and space on a sample and exciting a stimulated Raman signal, and meanwhile, moving the sample to realize spot scanning microscopic imaging; and the stimulated Raman signal detection module is used for converting the stimulated Raman scattering signal into an electric signal, demodulating the electric signal by using a lock-in amplifier, and recording spectral information by using a data acquisition card. According to the invention, the broadband tunable characteristic of the optical parametric amplifier is utilized to tune the pump light to the wavelength region of the sample absorption peak length so as to realize electron pre-resonance stimulated Raman; and a balance detection technology is combined at a detection end, so that high-sensitivity, high-resolution and high-signal-to-noise-ratio detection of stimulated Raman signals is realized.

The invention discloses a three-phase asynchronous motor fault diagnosis method. The method comprises the following steps: 1, collecting a vibration signal and a current signal of a three-phase asynchronous motor; 2, the noisy signal is processed, noise and redundant signals are removed, then a fault characteristic signal is obtained, and the fault characteristic signal comprises a vibration characteristic signal and a current characteristic signal; 3, converting the obtained vibration characteristic signal and the current characteristic signal into a GADF data image; 4, according to a certain weight ratio, performing image fusion on the GADF data images obtained after conversion of the vibration characteristic signals and the current characteristic signals to obtain GADF data containing fault characteristics; and 5, constructing a fault diagnosis neural network model with an attention mechanism, and diagnosing the fault of the three-phase asynchronous motor by using the vibration signal and the current signal. The invention further provides a three-phase asynchronous motor fault diagnosis device. Compared with the prior art, the accuracy of motor fault diagnosis can be improved.

The invention relates to the technical field of soil heavy metal pollution detection, and discloses a soil heavy metal pollution detection method and system, and the method comprises the steps: collecting an original signal containing a target heavy metal characteristic signal and a plurality of auxiliary background signals; preprocessing the original signal to obtain a preprocessed multi-dimensional signal; analyzing the multi-dimensional signal to identify interference characteristics of the target heavy metal characteristic signal and the auxiliary background signal; according to the interference characteristics of the auxiliary background signal, evaluating the composition and intensity of background interference, and according to the composition and intensity of the background interference, separating a pure signal of the target heavy metal from the background by using a nonlinear compensation algorithm; the target heavy metal pure signal is converted into the concentration value of the target heavy metal, chemical digestion is not needed, complex background interference can be effectively recognized and compensated for for soil heavy metal pollution detection, the accuracy and reliability of field detection are remarkably improved, and errors caused by inaccurate reagent degradation and background deduction in a traditional method are overcome.

The invention discloses a multipath signal conversion crosstalk-free optimization system and method, and relates to the technical field of data acquisition and signal processing, and the system comprises a detection module which is used for generating an initial calibration parameter based on a synchronization signal phase deviation detection result, and an adjustment module which is used for adjusting the frequency and phase of a sampling clock according to the initial calibration parameter, the calibration module is used for carrying out alignment calibration on multiple paths of data to obtain an alignment error value, and the optimization module is used for further optimizing a sampling clock based on the alignment error value to realize accurate calibration; compared with a traditional hardware phase-locked loop system, the multipath signal conversion crosstalk-free optimization system and method have higher adjustment flexibility and synchronization precision, are suitable for a high-frequency and high-precision data acquisition application environment, and improve overall sampling accuracy and data analysis reliability while maintaining system stability.

Systems, method, and computer readable medium are provided for a controller for a generator. The system includes a rectifier for converting a first AC signal generated by the generator to a first DC signal; a first DC-DC associated with energy storage and a first mode; a second DC-DC associated with an inverter and a second mode; a switch for alternately toggling between the first DC-DC and the second DC-DC, wherein the first mode prevents output to the electrical grid, and the second mode enables inversion of the second DC signal to a second AC signal via the inverter; and a processor that uses the indicator to operate the switch to operate the generator in the first mode when a connection to the grid does not conform with a parameter, and operate the generator in the second mode when the connection to the grid conforms with the parameter.

The invention discloses a radio frequency voltage sensor and a plasma source system. The radio frequency voltage sensor comprises a signal acquisition module and a signal processing circuit. The signal processing circuit comprises a rectangular wave pulse detection module, a signal conversion module, a peak holding module and an operation output module; the input end of the rectangular wave pulse detection module receives a pulse synchronization signal; the signal conversion module is connected with the output end of the signal acquisition module; the first input end of the peak holding module is connected with the output end of the signal conversion module, and the second input end of the peak holding module is connected with the output end of the rectangular wave pulse detection module; and the operation output module is connected with the output end of the peak holding module. According to the radio frequency voltage sensor and the plasma source system provided by the invention, the peak voltage corresponding to the single-stage pulse can be accurately detected, the peak voltage corresponding to the multi-stage pulse can also be stably detected, the output is prevented from jumping to zero during the pulse closing period, and the stability and practicability of measurement are improved.

The invention discloses a high-speed level conversion circuit, and belongs to the technical field of integrated circuit design, the circuit mainly comprises an input signal processing module, a voltage boosting module, a differential signal generation module, a signal amplification module and an output module, the input signal processing module converts a low-voltage input signal into a complementary logic signal pair; the voltage boosting module raises the voltage amplitude of the complementary logic signal by using a charge pump principle; the lifted signal drives a thick gate transistor in the differential signal generation module to generate a differential signal; the signal amplification module adopts a cross coupling structure to quickly amplify the differential signal; and finally, the output module outputs a high-voltage domain signal in an inverted manner. By introducing voltage bootstrap before gate driving, the overdrive voltage of a core switch tube is remarkably increased, so that the problem of low conversion speed of a traditional level conversion circuit is effectively solved on the premise of not increasing the device size and static power consumption, and high-speed and high-efficiency level conversion is realized.

The invention relates to the technical field of bridge engineering detection, in particular to a distributed optical fiber strain sensing detection system for a bridge engineering dynamic and static load test, and the system comprises a distributed optical fiber strain sensing module which is used for obtaining the strain information of different positions of a bridge; the dynamic and static load signal acquisition and conversion module is used for converting the strain signal into a strain electric signal suitable for transmission and processing; the temperature compensation module is used for carrying out temperature compensation on the strain signal according to the change of the collected environment temperature; the data processing and analyzing module is used for processing and analyzing the strain electric signal subjected to temperature compensation so as to obtain the strain distribution condition and related parameters of the bridge structure under the action of dynamic and static loads; and the monitoring and early warning module is used for monitoring the state of the bridge in real time according to the result obtained by the data processing and analyzing module and sending out an early warning signal when the strain of the bridge is abnormal. The problem that in the prior art, comprehensive, high-precision and real-time dynamic and static load strain monitoring cannot be carried out on bridge engineering is solved.

The invention provides a clock input buffer and electronic equipment. The clock input buffer comprises a multi-protocol input circuit, a level conversion circuit, a step-down circuit and a clock buffer circuit. The multi-protocol input circuit is adjusted to different working modes through a control signal transmitted by the control unit so as to be compatible with various input protocols, the multi-protocol input circuit processes an input signal based on a target working mode, and the level conversion circuit performs level shifting on an output signal of the multi-protocol input circuit so as to realize multi-protocol conversion. The voltage reduction circuit is used for converting the output signal into a low-voltage domain signal so as to meet the working voltage requirement of the clock buffer circuit, and meanwhile, the voltage reduction circuit is used for reducing the power supply voltage so as to provide low-voltage power supply voltage for the clock buffer circuit; therefore, the clock buffer circuit can buffer high-speed signals in different input protocols and voltage ranges by using a low-voltage domain device, and the application scenarios of the clock input buffer are greatly expanded.