32 results about "Frequency periods" patented technology

The invention discloses a deployment system for measuring multi-object vibration by using compressed sensing and a signal reconstruction method. The invention relates to an object vibration information acquisition and frequency period calculation system and method based on an RFID technology. The system aims at efficiently collecting vibration data of a plurality of objects through the RFID reader-writer and accurately processing and analyzing the vibration data. The system comprises an RFID vibration information acquisition module which is responsible for acquiring a unique identification EPC label, phase data and a timestamp of an object and storing the data in a CSV format; the data preprocessing module is used for cleaning collected data, deleting repeated timestamps and classifying the data; the measurement matrix generation module is used for constructing a signal measurement matrix so as to facilitate subsequent processing; the compressed sensing signal reconstruction module performs sparse representation and reconstruction on the vibration signal through a La sso regression algorithm, Fourier transform and other technologies, and recovers an original vibration signal of the object; and finally, the vibration period and frequency calculation module extracts the period characteristics of the signals through self-correlation analysis, and calculates the vibration frequency of the object. Through the system, the vibration states of multiple objects can be monitored and analyzed in real time, the system is widely applied to the fields of industrial monitoring, structural health monitoring and the like, and the precision and efficiency of object vibration detection are improved.

The invention provides an aircraft cabin structure fault diagnosis method based on acoustic signals, and the method comprises the steps: obtaining a finite element model of an aircraft cabin structure, and calculating an acoustic response in a typical fault mode; acquiring a sound pressure level frequency response set, and forming an initial fault feature parameter set by using fault features in different frequency periods; utilizing a Gini coefficient gain algorithm to calculate the gain of the characteristic parameter component, and screening the initial fault characteristic parameter set to obtain an initial population; decoding the initial population to form a fault feature parameter subset, training a C4.5 decision tree and calculating individual fitness; iterating the initial population according to the fitness to obtain an optimal fault feature parameter subset and establishing a classification model; and establishing a to-be-detected characteristic parameter subset, identifying the to-be-detected characteristic parameters by using the classification model, and outputting the fault category and credibility of the to-be-detected characteristic parameters as a diagnosis result. According to the invention, a framework for diagnosing the aircraft cabin structure fault by using the acoustic signal is established, and the diagnosis precision is improved.

The invention discloses a comprehensive management and optimization system of an industrial internet, and relates to the technical field of industrial equipment management.The historical fault data of a plurality of continuous historical periods are extracted from a maintenance transmission log and are analyzed and processed to obtain a historical high fault set; performing high fault frequency value analysis processing on a plurality of fault high-frequency periods in a historical high fault set to obtain a sub-period comparison value, so as to reflect the overall characteristics of the same-rank historical high-frequency sub-periods after different fault high-frequency periods are divided in two aspects of fault frequency variation stability and trend similarity through the sub-period comparison value; the fault rule of the historical high-frequency sub-time periods with the same ranking after different fault high-frequency time periods are divided can be identified, and data support is provided for maintenance of industrial equipment in a future period.

The invention discloses an island detection method and device for a three-phase inverter grid-connected system, and belongs to the technical field of island detection. The method comprises the following steps: applying reactive disturbance current to reactive target current of an inverter; wherein the reactive disturbance current periodically changes at the disturbance frequency; obtaining frequency information of the three-phase voltage of the common connection point, and extracting a disturbance component periodically changing by a disturbance frequency in the frequency information; calculating an accumulated value of the absolute value of the disturbance component in a sliding time window with a preset duration, and taking the accumulated value as an island characteristic quantity; wherein the window trailing edge of the sliding time window is the current moment, and the preset duration is greater than or equal to a disturbance period corresponding to the disturbance frequency; and when the island characteristic quantity is greater than a preset threshold value, determining that island operation occurs. The embodiment of the invention provides a universal detection method suitable for identification of various islands, and comprehensive identification of the operation condition of the islands can be realized.

A method for operating a discharge lamp by modulating a current signal is presented. The discharge lamp is operated with at least two different frequencies. At first a probability distribution function for a first number of first frequency periods and a second number of second frequency periods is defined. Next, the first number of first frequency periods and the second number of second frequency periods are determined depending on the probability distribution function by at least one random number. The current signal is modulated by applying the first number of first frequency periods and the second number of second frequency periods to the current signal for operating the discharge lamp.

The invention relates to the field of three-phase power supply phase calculation methods, and discloses an ATSE three-phase power supply phase calculation method based on a Goertzel algorithm, which comprises the following steps of: setting an initial frequency of frequency detection, a period number k = 1 and a sampling number N of each period; common variables of the Goertzel algorithm are calculated; carrying out resampling operation on the AD data according to a set frequency; sequentially carrying out convolution operation on the AD data after resampling; after N sampling points of one period of data are calculated, second-step operation is carried out to obtain Yn containing amplitude-frequency information under the target frequency; and calculating phase information of the Yn according to the real part and the imaginary part of the Yn. By collecting AD data of three-phase voltage of the power supply, phase information of three phases is calculated in sequence, phase information of the three-phase power supply is obtained, and then the phase information of the three-phase power supply is obtained through data integration, so that comprehensive mastering of the overall phase state of the three-phase power supply is achieved, and accurate phase information is provided for ATSE control logic.

The present application relates to the technical field of laser radar, and especially relates to a non-aliasing frequency modulation continuous wave radar detection system and method, the non-aliasing frequency modulation continuous wave radar detection system comprising: a light source, a beam splitter, a circulator, a 90-degree frequency mixer, a signal conversion module and a signal processing unit, the signal processing unit being configured to: construct a complex vector signal S based on a first electrical signal I and a second electrical signal Q, S=I+jQ, wherein j is an imaginary operator, and obtain a double sideband spectrum based on the complex vector signal S, determine the frequency of a signal peak in an up-sweeping frequency period and the frequency of a signal peak in a down-sweeping frequency period in the double sideband spectrum, and obtain the distance and speed of a target to be detected based on the frequency of the signal peak in the up-sweeping frequency period and the frequency of the signal peak in the down-sweeping frequency period.The present application is at least beneficial to solve the signal aliasing problem when detecting the target to be detected.

This invention discloses an ADRC method for attenuating periodic disturbances in time-delay systems, belonging to the field of automatic control technology. The method includes: 1. Obtaining the controlled process model and disturbance frequency, and establishing an extended state model containing the periodic disturbance; 2. Constructing a reduced-order extended state observer and tuning the gain using the bandwidth parameter method; 3. Introducing a pure time-delay module into the observer's output channel to construct an ADRC structure; 4. Revealing the mechanism by which periodic disturbances in time-delay systems cannot be attenuated through two-degree-of-freedom equivalent transformation analysis; 5. Based on the frequency domain characteristic equation, analytically determining the delay of the time-delay module to achieve effective attenuation of periodic disturbances at specific frequencies. This invention solves the problem of attenuating periodic disturbances in time-delay systems without significantly increasing structural complexity. Compared to traditional schemes that require high-gain or complex prediction structures, this invention only requires adjusting the pure time delay of the observer's output channel, and the parameter tuning process is clear and intuitive, significantly lowering the threshold for engineering applications.

The invention relates to the technical field of three-phase power supply frequency calculation methods, and discloses an improved ATSE power supply frequency calculation method, which comprises the following steps: S1, acquiring voltage AD data of a three-phase power supply through a controller; s2, setting an initial frequency, a period number and a sampling point number of each period; s3, calculating twiddle factors in the Goertzel algorithm; s4, performing convolution operation on the AD data of each period in sequence; s5, calculating the frequency domain information of two periods, and obtaining the frequency information of the current power supply based on the phase deviation; s6, dynamically adjusting the AD data sampling rate of the next period; and S7, the frequency information assists the automatic change-over switch to judge and control the state of the power supply. By adopting the power supply frequency calculation method based on the Goertzel algorithm, the actual frequency of the power supply can be accurately captured by abandoning interference of higher harmonics and only keeping fundamental wave information for calculation, and the method has better anti-interference capability in a complex power environment with higher harmonic content.

The present invention relates to the field of electrical variable measurement, and specifically relates to a method and system for detecting the opening and closing currents of a circuit breaker in a switchgear cabinet, including: when the average current change amplitude is greater than a preset threshold F1, increasing the sampling frequency T1 to the sampling frequency T2, when the current collected at T2 has the same change law as the current collected at T1, collecting the current at T1 again. If the current moment changes from a high-frequency period to a low-frequency period, changing F1 based on the threshold F2 using the similarity of the current change laws in the recently obtained low-frequency and high-frequency periods. If the current moment changes from a low-frequency period to a high-frequency period, changing F2 using the similarity b of the current change laws in the low-frequency and high-frequency periods obtained in the last two times, and reading out and detecting the opening and closing parameters from all the collected opening and closing currents. The present invention can accurately capture the current generated by a short opening and closing action from a large number of interfering currents.

The invention discloses a servo control method based on low-frequency period similarity, which comprises the following steps: firstly, acquiring servo adjustment deviation of each sampling moment in a-1 optical disc rotation period through digital sampling, and then acquiring servo driving quantity of the moment in the-1 period based on a servo controller; according to the servo adjustment deviation and the servo driving amount of the adjacent moments in the-1 period, the increment value of low-frequency jitter of the optical disc at the moment in the period is obtained through a low-pass filter, and the actual servo driving amount at the moment t of the period is obtained by combining the servo driving amount at the moment t of the n period; and the position after servo drive adjustment at the moment t + 1 of the nth period is obtained, servo control based on low-frequency periodicity similarity is repeatedly executed in the optical disc rotation period, and finally the position after servo drive adjustment reaches the target position.

Method for monitoring a section (20) of a hydraulic pressure system (10), wherein a pressure of a fluid is built up in the section (20) by an upstream pump and wherein the fluid exits the section (20) via a valve (25) which opens with a valve control frequency and a duty cycle, characterized in that a pressure profile is detected by a pressure sensor (17) arranged downstream of the pump and upstream of the section (20) at least during one period of the valve control frequency, and that frequency components in the frequency spectrum of the pressure profile are determined by means of a Fourier transform.that if the frequency spectrum determined in this way matches the frequency spectrum of an intact subsection (20), it is concluded that the subsection (20) is intact, and that if the frequency spectrum determined in this way deviates from the frequency spectrum of an intact subsection (20), a defect in the subsection (20) is concluded, wherein the duty cycle of the opening valve (25) is changed from a first value to a second value, or that a period is considered in which the duty cycle changes, that local maxima of the frequency components in the frequency spectrum are determined, and that a defect in the subsection (20) is concluded if the amplitude of the local maxima decreases quasi-monotonic with increasing frequency.

The invention discloses a one-dimensional signal analysis method for a sweep-frequency series-parallel DFB array laser sensing system, and the method comprises the following steps: receiving a signal of the sweep-frequency series-parallel DFB array laser sensing system in a complete sweep-frequency period, the signal comprising a trigger signal and a data signal; reading a data signal in a complete frequency sweep period, and dividing the data signal into frequency sweep time periods corresponding to each lasing channel in the DFB array laser in a time domain; identifying and segmenting the frequency repeated overlapping part in the frequency sweeping time period of the adjacent lasing channels; processing the Mach-Zehnder interference signal by using Hilbert transform, and resampling the signal to be processed by taking the obtained phase change as a reference; and carrying out fast Fourier transform calculation, and analyzing one-dimensional distribution information of the measured object in the light reflection direction. According to the method, the problem of analysis signal distortion of the DFB array laser is solved, lossless extraction of returned information is realized, and a high-reduction-degree image is obtained.

This invention relates to the field of data processing technology, specifically to a data analysis-based intelligent operation and maintenance status detection method for generators. The method includes: monitoring and obtaining the horizontal and vertical decomposition curves of both the generator and the helicopter, and acquiring the relative acceleration of the helicopter at each moment; eliminating the influence of the relative acceleration on the horizontal decomposition curves of the helicopter and its generator to obtain the horizontal amplitude modulation curves of the helicopter and its generator; analyzing the frequency period invariance and the consistency of the frequency amplitude reduction ratio when helicopter vibration is transmitted to the generator to obtain the horizontal denoising decomposition curve of the generator; obtaining the vertical denoising decomposition curve of the generator; and fusing the horizontal and vertical denoising decomposition curves to perform operation and maintenance status detection on the generator. This invention aims to eliminate the vibration interference of the helicopter on the generator during operation and maintenance status detection, thereby improving the accuracy of operation and maintenance status detection.

The embodiment of the invention provides a telegraf-based Pcdn account management platform and a Pcdn account management method, and the platform comprises an account input module which is used for storing account information input by operation and maintenance personnel in a Mysql database according to the account information; the equipment account management module is used for collecting account information currently used by the Pcdn equipment through telegraf in each piece of Pcdn equipment for management; the account number distribution module is used for configuring distributed account number information to the Pcdn equipment through telegraf based on the current real-time bandwidth of each piece of Pcdn equipment in a specified frequency period; and the account recovery module is used for recovering redundant account information in each Pcdn device through telegraf based on the current real-time bandwidth of each Pcdn device in a specified frequency period. The account management platform interacts with a plurality of Pcdn devices, and solves the problems of many Pcdn accounts, difficult management and high maintenance cost in the prior art.

The invention belongs to the technical field of river monitoring, and provides a signal real-time processing method for an ultrahigh-frequency river detection radar, and the method comprises the steps: S1, generating a radar transmitting signal through a transmitting circuit; s2, a receiving circuit receives radar echo signals reflected by the surface of the river; s3, in the FPGA, carrying out direct radio frequency band-pass sampling on the digital signal, carrying out digital frequency mixing on the digital signal and a local oscillator signal, and then obtaining a low-frequency digital demodulation signal through a CIC filter; according to the method, the linear sweep frequency interrupt continuous wave (FMICW) is adopted as a radar transmitting signal, and the specific center frequency, bandwidth and sweep frequency period are combined, so that efficient detection of the river surface is realized; meanwhile, the real-time performance, the accuracy and the stability of signal processing are remarkably improved by utilizing high-quality radar transmitting signals, an optimized receiving antenna array design, an efficient digital signal processing flow and an advanced spectral analysis and direction-of-arrival estimation algorithm, so that the flow condition of a river can be monitored in real time.

The invention provides an active disturbance rejection control method and system for suppressing periodic disturbance of a permanent magnet synchronous motor, and relates to the technical field of motor control. According to the method, accurate estimation of the state and total disturbance of the system is realized by increasing the order of the extended state observer (ESO), and proportional estimation errors are introduced to change a disturbance feed-forward structure and eliminate control law gain in a disturbance transfer function, so that the difficulty in parameter adjustment is overcome, accurate disturbance observation and compensation are obtained, and the method is suitable for large-scale popularization and application. According to the method, the low and medium frequency periodic disturbance is better inhibited through the multi-frequency characteristic analysis, the change rule of the gain coefficient under the periodic disturbance of different frequencies is researched, and the gain coefficient is designed according to the change rule to inhibit the medium and high frequency periodic disturbance. The method can be applied to a permanent magnet synchronous motor high-precision servo system.

The invention provides an inverter and a control method thereof. A controller generates a first PWM signal used for controlling a first switch tube in a direct current conversion circuit and a second PWM signal used for controlling a second switch tube in an inverter circuit. The first PWM signal takes the second PWM signal as a reference, the first PWM signal and the second PWM signal have a plurality of frequencies in a power frequency period of a power grid, and the jittering frequency period of the first PWM signal and the jittering frequency period of the second PWM signal are the same and are one integral multiple of the power frequency period of the power grid. As the jitter frequency periods of the first PWM signal and the second PWM signal are consistent, the EMI of the whole system can be suppressed without introducing extra hardware cost in the high-frequency process of product hardware. Meanwhile, due to the fact that the phase difference of a plurality of frequency changing curves along with time in the jittering frequency period of the first PWM signal and the second PWM signal is a fixed value, direct-current bus ripples can be reduced.

The invention provides a medium repetition frequency PD radar time-frequency domain two-dimensional sliding window ambiguity resolution method and device, and the method comprises the steps: 1, carrying out the distance dimension and speed dimension extension of a distance trace point formed by a multi-frequency period radar echo in an observation range, and determining all possible position and speed information of a target; step 2, quantizing the observation area according to the set quantization unit parameters, and marking all targets in a nine-square manner at the same time; 3, sliding window detection is sequentially carried out on the observation areas after quantitative marking in a matts mode, and whether a target exists or not is judged according to an M / N detection criterion; and 4, detecting and judging the existing target through the step 3, extracting target information by taking the maximum amplitude as a criterion, and clearing the identifier of the observation area of the target. According to the method, the difficulty and the calculation amount of fuzzy understanding are greatly reduced, and meanwhile, the generation of false plots is also reduced by utilizing distance and speed information.

The invention provides an output voltage ripple control method of a dual active bridge and a related device, and the method comprises the steps: a controller obtains a plurality of first circuit parameters and an (n-1) th ripple voltage peak-to-peak value under a current working condition, and the plurality of first circuit parameters comprise a plurality of jitter frequency related frequency values and a first phase shift angle; determining a phase shift angle regulation variable based on the (n-1) th ripple voltage peak-to-peak value; determining a second phase shift angle based on the phase shift angle regulation variable, the (n-1) th ripple voltage peak-to-peak value, the nth ripple voltage peak-to-peak value and the first phase shift angle; determining a target phase shift angle based on the second phase shift angle and the plurality of jitter frequency related frequency values; and when the frequency is turned to the (n + 1) th jitter frequency period, performing phase shift angle compensation operation based on the target phase shift angle. Therefore, when phase shift angle reverse compensation operation is carried out based on the ripple voltage peak-to-peak value, power transmission errors caused by frequency deviation are offset, the problem of output power unbalance at the moment of frequency change is relieved to a great extent, and the deterioration degree of output voltage ripples is reduced.

The present application belongs to the technical field of cleaning efficiency optimization, and specifically discloses an efficiency optimization method for cleaning offshore light buoys based on cavitation jet, which collects the ship attitude and the target distance between the nozzle and the light buoy in real time, samples the target distance sliding window to determine whether to trigger distance adjustment, identifies the wave main frequency period based on the attitude data when triggered, divides the wave main frequency period into phase intervals and extracts the phase angular velocity, locks the target distance adjustment phase window, predicts the wave displacement change trend in the window, matches the distance adjustment mode containing the action direction and the response speed mode, and finally generates the target distance adjustment operation instruction and outputs it to the display terminal of the ship operation management system. The present application can accurately lock the target distance adjustment opportunity, adaptively compensate the target distance fluctuation caused by the wave, thereby ensuring the stable collapse of the cavitation bubble, avoiding ineffective cleaning, and greatly improving the offshore light buoy cleaning operation efficiency.

The invention discloses a receiving circuit based on a pre-judgment structure and an operation method thereof, and belongs to the technical field of receiving circuits, and the receiving circuit comprises a hard decision circuit, a decision feedback equalization coefficient updating circuit and a pre-judgment decision feedback equalization circuit. The hard decision circuit generates a decision result and an error signal based on a filtering signal and a correction signal in a first frequency period. The operation method comprises the following steps: updating a group of filter coefficients according to the error signal of the first frequency period; and setting Z filter coefficients in the group of filter coefficients as 0. The pre-judgment decision feedback equalization circuit generates the correction signal corresponding to a second frequency period according to the group of filter coefficients. The second frequency period is later than the first frequency period.

The invention relates to the technical field of data processing, in particular to a generator intelligent operation and maintenance state detection method based on data analysis, which comprises the following steps: monitoring to obtain respective horizontal decomposition curves and vertical decomposition curves of a generator and a helicopter, and obtaining relative acceleration of the helicopter at each moment; eliminating the influence of the relative acceleration on the horizontal decomposition curve of the helicopter and the generator thereof, and obtaining a horizontal amplitude modulation curve of the helicopter and the generator thereof; analyzing the frequency period invariance and the amplitude decreasing proportion consistency of the frequency amplitude when the vibration of the helicopter is transmitted to the generator, and obtaining a horizontal denoising decomposition curve of the generator; obtaining a vertical denoising decomposition curve of the generator; and fusing the horizontal denoising decomposition curve and the vertical denoising decomposition curve, and carrying out operation and maintenance state detection on the generator. The invention aims to eliminate the vibration interference of the helicopter on the generator in the operation and maintenance state detection process of the generator and improve the operation and maintenance state detection accuracy.

The invention relates to the technical field of financial markets, in particular to a method for generating low-frequency features in batches based on high-frequency features, comprising the following steps: S1, acquiring high-frequency feature data from original high-frequency data; s2, selecting part of high-frequency characteristic data in each low-frequency period; s3, aggregating the selected high-frequency features into a value to obtain a feature time sequence of a low-frequency period; and S4, screening out effective low-frequency features from the generated low-frequency features. The invention provides a universal high-frequency feature batch low-frequency process, the step of high-frequency feature low-frequency is refined into two steps of time sampling and aggregation, the low-frequency features are generated in batches in a free combination mode, a time sampling and aggregation expansion method can be designed by oneself, low-frequency feature output is multiplied, and the low-frequency feature generation efficiency is improved. And in combination with feature selection, effective features are directly output, so that the efficiency of the whole process is greatly improved.

The present invention discloses a rotary in-situ chemical plating device without fixed attachment points in the field of grinding wheel plating technology. The device comprises a plating solution pool and a rotary frame installed above the plating solution pool through a bracket. The device is located on the same side of the rotary frame and is provided with a material unloading transmission device and a material loading transmission device in sequence along the rotation direction of the rotary frame. The material unloading transmission device and the material loading transmission device load and unload the material to the rotary frame according to the frequency cycle of the rotation of the rotary frame. The material loading transmission device sends the grinding wheel group to the hook according to the frequency cycle of the rotation of the rotary frame. The hook supports the grinding wheel group by flipping its posture and rotates to drive the grinding wheel group into the plating solution pool. After the chemical plating is completed, the hook transfers the grinding wheel group to the material unloading transmission device moving according to the frequency cycle of the rotation of the rotary frame by flipping its posture. The grinding wheel group has no fixed attachment point, can be plated in an all-round and indiscriminate manner, and improves the efficiency of the plating.

The invention relates to a space monitoring system and a space monitoring method using sound signals. The invention discloses a technology which can compare frequency response spectrums of each measurement period of a monitored object space by taking a single frequency as a unit or taking a frequency period as a unit, and can simply, quickly and accurately judge the condition of the monitored object space by analyzing the change degree and the change mode of the difference value of the frequency response spectrums.

The invention relates to measurement of a flow rate of a fluid. Transmitting and receiving a downstream first ultrasonic signal and a countercurrent second ultrasonic signal on a measurement path inclined relative to the flowing direction of the fluid, determining a first flight time of the first ultrasonic signal and a second flight time of the second ultrasonic signal, and determining the flow velocity according to the flight time difference, wherein the ultrasonic signal has a carrier frequency of a plurality of cycles, the amplitude of which is modulated in accordance with the envelope curve, the respective reception time for determining the time of flight is determined in accordance with selected oscillations of the ultrasonic signal, the oscillations being selected on the basis of the course of the envelope curve, in particular the maximum value of the envelope curve. A first difference between the first time-of-flight and a previously determined first time-of-flight and / or a second difference between the second time-of-flight and a previously determined second time-of-flight is calculated, and if the first and / or the second difference is an integer multiple of the carrier frequency period within a tolerance range, the carrier frequency period is determined. The first and / or second time of flight is corrected by an integer multiple of the carrier frequency period.

The invention discloses a multi-target track matching method based on time sequence backtracking, and relates to the technical field of avionics, and the method comprises the steps: carrying out the updating and storage of obtained low-frequency period target data and high-frequency period target data based on a cache elimination algorithm, and obtaining a low-frequency period target array and a high-frequency period target array; initial matching is carried out on the low-frequency periodic target array and the high-frequency periodic target array, and whether matching succeeds or not is judged by combining initial matching conditions; if the initial matching succeeds, performing backtracking matching on the low-frequency periodic target array and the high-frequency periodic target array after the initial matching succeeds, and judging whether the matching succeeds or not in combination with a backtracking matching condition; and if the backtracking matching is successful, performing data fusion on the high-frequency periodic target data and the low-frequency periodic target data which are successfully backtracked based on the confidence coefficient weight to obtain a target point track result. Through multi-stage matching and time sequence sampling, calculation resource increase caused by large high-frequency and low-frequency period difference is eliminated, and efficient and reliable track matching is achieved.

The application belongs to the field of laser ranging, and particularly relates to an absolute distance measurement method and device based on time delay interference, which comprises the following steps: introducing an arbitrary light source, first injecting a frequency modulation signal into the light source to prepare a frequency period jitter modulation note, then splitting the light with period jitter and injecting different frequencies, which are used to form heterodyne interference, one of the lights is used as reference light, the other light is processed twice by time delay, the reference light and the light processed by time delay are combined to realize twice heterodyne interference, and the first time delay processing contains distance information to be measured. The application uses the frequency period jitter modulation note of heterodyne interference light, combines the time delay interference method, calculates the time delay time, and calculates the absolute distance information contained in the time delay time, realizes low-cost and large-scale absolute distance measurement, and realizes the time delay interference algorithm, and the ranging reliability is high.

The embodiment of the present application provides a delta-sigma analog-to-digital converter, wherein the end point of the second reset signal (changed from logic true to logic false) received by the first non-delay component of the storage is more than one frequency period longer than the end point of the first reset signal received by other components (i.e. the reset time of the first non-delay component of the storage is longer than that of other components), so as to avoid the output of the first non-delay component of the storage from overshooting or surging. The delta-sigma analog-to-digital converter of the present application can maintain a good signal-to-noise ratio even if the internal components have low voltage swing limits.