636 results about "Frequency difference" patented technology

The invention provides a medical equipment fault detection method and system based on machine learning, and relates to the technical field of fault detection. The method comprises the steps of monitoring motor start-stop division operation cycles, synchronously collecting and processing vibration, frequency difference and voltage signals, calculating characteristic difference to generate a dynamic sequence, extracting a non-convergence trend and phase deviation, fusing voltage and frequency fluctuation characteristics, constructing a threshold rule to judge abnormity, and outputting a light fault early warning signal. According to the invention, through precise monitoring of motor start-stop nodes, period division, collection of vibration, frequency and voltage signals, combination of time alignment and noise filtering, improvement of signal quality, cross-period calculation of characteristic difference, and extraction of non-convergence trend and phase offset, the ability of capturing tiny anomalies is enhanced; according to the method, multi-dimensional indexes such as voltage fluctuation and frequency deviation are fused, a threshold judgment mechanism in a continuous window is constructed, stable identification and early warning of equipment light faults are achieved, and the detection accuracy and response timeliness are improved.

The invention provides a clock signal generating circuit, a wired communication transceiver and electronic equipment, and the circuit outputs a first DC voltage comprising phase difference information and frequency difference information of a reference clock signal and a feedback clock signal through a phase frequency detection module. The pulse generator generates a narrow pulse signal based on the DC voltage and a reference clock signal, the oscillation frequency of each secondary ring oscillator in the cross-coupled ring oscillator is controlled by the first DC voltage, and the cross-coupled loop performs synchronous coupling and phase sequence adjustment processing on each secondary ring oscillator. One output node in the cross coupling ring oscillator receives the narrow pulse signal, frequency and phase locking is completed in an injection locking mode, and the frequency divider is used for conducting frequency division processing on any high-frequency clock signal and outputting a feedback clock signal. Therefore, a high-frequency multi-phase clock signal with low phase noise and high phase precision can be generated by using the low-frequency reference clock signal.

A transient stability control method for an islanding system with parallel heterogeneous networking inverters comprises the following steps: when a symmetric short-circuit fault occurs in a common line, collecting a grid-connected point voltage effective value of a droop control inverter and a frequency output value of a droop control and virtual synchronous generator; calculating a fault degree based on the voltage effective value, and determining a relative frequency by combining droop control and a VSG frequency difference value; generating a transient stability improvement coefficient according to the fault degree; the lifting coefficient and the relative frequency are fused through an integrator, and adjusting power is generated; injecting the adjusting power into the droop control equation to obtain an improved droop control equation; and combining the improved droop control equation and the VSG control equation to obtain an equivalent synchronous motion equation of the heterogeneous network-building type inverter parallel system during the fault period. According to the method, the power distribution is dynamically adjusted, the power transmission limit of the system during the fault period is improved, the transient stability under the serious fault is ensured, and an effective control scheme is provided for the micro-grid containing the heterogeneous inverter.

Various aspects of the present disclosure relate to receiving a sensing configuration for performing a sensing signal transmission and at least one sensing measurement; performing at least one sensing measurement based on a first sensing signal; transmitting a second sensing signal in accordance with the sensing configuration, wherein the sensing configuration indicates a time difference between a reception of the first sensing signal and a time of transmission of the second sensing signal or a time reference, or a frequency difference between the reception of the first sensing signal and a transmission frequency of the second sensing signal or a frequency reference, or both; and transmitting a measurement report based at least in part on the at least one sensing measurement.

The invention relates to the technical field of frequency conversion, in particular to a radio frequency microwave signal modulation method and system, and the method comprises the following steps: detecting the ratio of the time domain peak interval to the frequency domain main sideband energy of a radio frequency signal, inputting the time domain peak interval and the frequency domain main sideband energy into a cross-correlation algorithm for synchronism analysis, extracting the periodic characteristics of a time domain peak sequence, and obtaining a frequency domain peak sequence; and generating an energy coupling factor based on a difference operation result of the frequency domain energy density gradient value and the time domain peak interval. According to the method, periodic characteristics are analyzed and extracted through the ratio of peak spacing to main sideband energy to generate an energy coupling factor, a main frequency point offset and an energy tilt vector are fused to generate a harmonic tendency parameter, an interference source path is positioned by combining a frequency trajectory vector, and disturbance levels are divided by clustering energy and harmonic parameters. And a conflict direction is pre-judged and stop band parameters are pre-loaded by grey prediction of a main sideband frequency difference value trend, and a closed-loop regulation and control system is constructed to improve the anti-drift capability and reduce the spectrum conflict risk.

A method, network node and wireless device (WD) for downlink (DL) pre-compensation and quasi-collocated (QCL) signaling for coherent joint transmission are disclosed. According to one aspect, a method in a network node includes transmitting (S144) a first reference signal (RS) over a first transmission-reception point (TRP) and a second RS over a second TRP. The method includes receiving (S146) time delay difference and / or a frequency difference information between the TRPs. The method includes transmitting (S148) the DL channel with a delay pre-compensation and / or a frequency pre-compensation over the first TRP and without delay or frequency pre-compensation over the second TRP. The method includes transmitting (S150) QCL information indicating whether a DL channel transmitted from the first and second TRPs is pre-compensated. The method further includes pre-compensating (S152) the DL transmission over the first TRP according to the received time delay difference or frequency difference.

The invention relates to the technical field of defect detection, in particular to a hydraulic engineering pipeline flaw detection method and equipment. Collecting a pipeline ultrasonic data set containing a plurality of known defect types; dividing signal segments by calculating the reflection probability of a data value in a local range, carrying out sonic path distance analysis in each signal segment, and determining the pipeline echo probability by combining the reflection probability; in consideration of the influence of materials such as concrete on sound wave propagation, the pipeline echo probability is adjusted by using the time-frequency difference between the signal segments to obtain a correction probability, so that a real and effective pipeline echo signal is determined; then, according to the difference and fluctuation characteristics of the characteristic parameters under different defect types, determining the characterization degree value of each characteristic parameter; randomly selecting a sample subset, selecting feature parameters to construct a decision tree according to quantity features and characterization degree values, and training to obtain a random forest model; and finally, flaw detection is performed on the to-be-detected pipeline based on the model, so that a more accurate pipeline detection result can be obtained.

The invention relates to the technical field of energy-saving control, in particular to a liquid crystal display energy-saving control method and system, and the method comprises the following steps: obtaining the pixel brightness change times in continuous frames, judging a hopping region, reading the frequency difference value of adjacent regions, sorting and merging, recognizing the lower brightness of a heating region, and detecting voltage fluctuation to mark a locking period. And freezing the interval rearrangement brightness output structure, and generating an energy-saving control layout. According to the invention, through statistics of pixel brightness jump times and ratio determination, a high-fluctuation area is accurately identified, brightness frequency difference sorting and area fusion are combined to improve regulation and control continuity, temperature change trend determination is introduced to realize brightness down-regulation of a heating area, and a voltage jump amplitude sequence is utilized to analyze and lock a power supply stable period. The method is advantaged in that adjustment errors in an unstable state are avoided, a brightness output sequence is rearranged in a freezing period, rhythm consistency and energy efficiency collaboration of brightness control are maintained, and accuracy, stability and multi-dimensional adaptability of energy-saving regulation and control are enhanced.

The invention discloses an electromagnetic ultrasonic resonance thickness measuring method capable of adaptively regulating and controlling sweep frequency step length, which comprises the following steps of: exciting a continuous sweep frequency signal of a certain frequency band by an electromagnetic ultrasonic probe at a variable frequency step length, forming ultrasonic waves on the surface of a workpiece, penetrating the workpiece, and reflecting on the other surface of the workpiece to measure the thickness of the workpiece. The electromagnetic ultrasonic probe receives the reflected time domain signal, time-frequency conversion is conducted on the time domain signal based on the Fourier transform principle, a spectrogram is obtained, and wall thickness information of the current measuring point is calculated according to the frequency difference. However, due to the fact that the processes of frequency sweeping excitation, ultrasonic wave receiving and data processing of a series of waveforms are slow, the real-time performance of measurement can be affected, according to the electromagnetic ultrasonic resonance thickness measurement method oriented to ultrathin wall thickness measurement, frequency domain segmentation is achieved based on signal amplitude recognition, the frequency sweeping step length is shortened near the resonance frequency, and the measurement accuracy is improved. The step length is increased in other frequency bands, full-band equal-step-length frequency sweeping is replaced by variable-step-length frequency sweeping, the frequency sweeping step number is reduced, and therefore the measurement efficiency is improved.

The invention discloses a live detection method for insulation defects of high-voltage power equipment. The method comprises the following steps: firstly, synchronously arranging ultrahigh frequency sensors and acoustic emission sensors on a plurality of monitoring points on the surface of a gas insulated switchgear shell to form an array, and synchronously acquiring signals for filtering pretreatment; then, pulse events are extracted from the two types of signals respectively, and associated pulses in a time window are matched into matched pulse pairs representing the same discharge source; then, carrying out time-frequency transformation on the ultrahigh frequency and acoustic emission pulse waveform in each matched pulse pair, carrying out joint noise reduction by calculating a coherence coefficient between time-frequency distribution matrixes, and extracting a joint feature vector containing an energy ratio, a time parameter ratio and a frequency difference from the denoised time-frequency matrix; according to the invention, multi-source signals are fused, and high-sensitivity detection, high-precision positioning and high-accuracy identification of insulation defects are realized.

The invention provides an adaptive window direct sound extraction method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting an input audio signal, and carrying out the preprocessing of the audio signal; a self-adaptive window function is constructed based on the frequency difference of the audio signals, and the window length and the window coefficient of the self-adaptive window function can be automatically adjusted according to different frequency bands; the method comprises the following steps: converting an audio signal from a time domain to a frequency domain for representation through an adaptive window function, obtaining complete frequency domain data of the audio signal, using a longer window for a low-frequency signal by the adaptive window function so as to ensure the frequency resolution of a frequency domain signal, and using a shorter window for a high-frequency signal so as to improve the time precision of the frequency domain signal; and establishing a direct sound extraction tool according to the complete frequency domain data of the audio signal, and separating and extracting a direct sound signal from the audio signal. According to the method, the special window functions are designed for the signals with different frequencies, so that more details are reserved for the extracted direct sound, and the signal analysis precision is remarkably improved.

Disclosed are techniques for wireless positioning. In an aspect, a user equipment (UE) receives, from a location server, assistance data for a positioning procedure, obtains a frequency offset measurement of one or more positioning reference signal (PRS) resources transmitted by at least one transmission-reception point (TRP) based on the assistance data, and enables a location of the UE to be determined based, at least in part, on the frequency offset measurement.

The invention provides a microwave superheterodyne frequency sweep measurement system based on Rydberg atoms, and belongs to the technical field of microwave frequency measurement. The laser module excites detection light of 780 nm and coupling light of 480 nm, and the two beams of light are reversely input into the atomic gas chamber through the dichroscope; signal microwaves are generated by a radio frequency signal source and are radiated to the position of the atomic gas chamber through the horn antenna; local oscillation microwaves are generated by the microwave module and are also radiated to the position of the atomic gas chamber through the horn antenna; the atomic gas chamber serves as a mixer to form a difference frequency signal; the spectrum analyzer is used for monitoring low-frequency difference frequency signals generated in the frequency mixing process in real time and recording signal intensity in real time. According to the invention, high-precision and wide-band microwave frequency measurement is realized, continuous and smooth frequency sweeping response can be provided in a frequency range, and absolute frequency detection of microwave signals is realized under the condition that a complex frequency comb technology is not introduced. The hardware architecture is simplified, the automation degree is improved, and integration, popularization and application are facilitated.

The invention relates to the technical field of data processing, in particular to an egg crack detection method based on a sound wave signal, and the method comprises the following steps: obtaining a sound wave signal on the surface of an egg and a mechanical vibration signal of a surrounding environment, and obtaining a sound wave signal on the surface of the egg based on the frequency difference and amplitude difference between each frequency and a main frequency in a frequency domain signal of the mechanical vibration signal; determining a first index of each frequency, calculating an average difference between every two amplitude values of all the sound wave signals at the same frequency to obtain a second index of each frequency, and based on the first index and the second index, classifying whether the sound wave signals at each frequency are interfered by mechanical vibration noise by using a logistic regression model. And sound wave signals which are interfered by mechanical vibration noise in a classification result are removed, and whether cracks exist on the surface of the egg or not is judged by utilizing the residual sound wave signals through a pre-trained crack detection model. According to the invention, accurate detection of cracks on the surface of the egg can be realized.

The invention provides a dynamic high-precision PTP (Precision Time Protocol) time synchronization system realized based on an FPGA (Field Programmable Gate Array), which comprises a master device and a slave device, and the master device and the slave device are connected through a PHY (Physical Layer) to carry out PTP time synchronization; the master device and the slave device have the same structure and comprise an FPGA and a voltage-controlled crystal oscillator; in the master device, the FPGA obtains the frequency difference and the phase difference between the master device and an externally input reference source, further adjusts the frequency of a voltage-controlled crystal oscillator, corrects a local time mark, and sends a PTP message to the slave device; and in the slave equipment, the FPGA obtains the frequency difference and the phase difference between the slave equipment and the master equipment based on the received PTP message, so that the frequency of the voltage-controlled crystal oscillator is adjusted, and the local time scale is corrected. According to the invention, low-cost and high-precision PTP time synchronization is realized.

The invention relates to the technical field of power grid system frequency modulation, and particularly discloses a source-network cooperation primary frequency modulation optimization method and system based on load demand, and the method comprises the steps: obtaining key parameter information of a power grid and a unit, and determining index parameter information for evaluating the frequency modulation performance of the unit according to the key parameter information, determining the index parameter information and quantizing the index parameter information based on a coding analysis method, determining weak index parameters of the unit in the frequency modulation process, determining a deviation value between actual and theoretical integral electric quantities of the integral electric quantity according to the weak index parameters, and superposing the deviation value to the frequency modulation compensation quantity of the unit to obtain the frequency modulation compensation quantity of the unit. The frequency difference peak value and the frequency modulation duration in the closed-loop adjustment process are obtained, and if the frequency difference peak value is smaller than the preset frequency difference threshold value and the frequency modulation duration is larger than the preset duration threshold value, the small frequency difference response and the later response after frequency modulation are compensated, so that the frequency modulation response speed and performance of the unit are improved. And the frequency stability of the power grid is effectively improved.

The invention discloses a target positioning method, device, equipment and product capable of reducing errors, and the method comprises the steps: carrying out the compensation of a receiving signal of corresponding signal receiving equipment through the relative time delay and the relative frequency difference, and obtaining an alignment signal; presetting a compensation value for representing an error, and compensating the alignment signal by using the compensation value to obtain a compensated alignment signal; calculating a correlation metric value of the compensated alignment signals of the two signal receiving devices by using a preset metric function; and judging whether the positioning candidate position is the target positioning position or not according to the correlation metric value. According to the method, the received signals of the two signal receiving devices needing correlation measurement can be preprocessed and then compensated, so that the influence caused by factors such as the position speed error and the clock synchronization error of the signal receiving devices is reduced, the error of signal correlation measurement is reduced, and the accuracy of final target positioning is improved.

The invention discloses a virtual synchronous generator parameter determination method and equipment, and relates to the field of power equipment. The rotational inertia and the damping coefficient can be dynamically determined, and the parameter accuracy is improved. The virtual synchronous generator parameter determination method comprises the steps that the frequency difference, the power difference and the frequency change rate of a power grid are collected in real time, a state vector at each moment is determined and input into a reinforcement learning agent, the reinforcement learning agent comprises an action network and an evaluation network, the action network outputs corresponding action parameters, and the evaluation network outputs a Q value; calculating a reward value according to the state vector and the action parameter, and extracting an experience tuple when the reward value meets a preset condition; obtaining a target Q value of the experience tuple, and calculating a time difference error between the Q value and the target Q value to update the evaluation network; calculating the strategy gradient of the action parameters to update the action network; and determining action parameters corresponding to the current state vector through the optimized reinforcement learning agent, wherein the action parameters are rotational inertia and a damping coefficient.

The present application relates to a method, device, storage medium and terminal for optimizing the drift rate of a rubidium atomic clock. The method comprises: collecting frequency difference data of the rubidium atomic clock relative to a reference signal; establishing a time-frequency difference model of the rubidium atomic clock according to the frequency difference data and the least squares method; and adjusting the output frequency of the rubidium atomic clock according to the time-frequency difference model and the voltage-frequency fitting relationship. The present application focuses on the frequency drift compensation technology for the aging of key components inside the rubidium atomic clock. By analyzing the drift rate characteristics of the rubidium atomic clock, it is proposed to adjust the accuracy of the output frequency of the rubidium atomic clock by adjusting the voltage-controlled voltage of the constant temperature crystal oscillator inside the rubidium atomic clock, thereby improving the drift rate of the rubidium atomic clock.

The invention discloses an SLAM-oriented multi-sensor space-time synchronization and online calibration method, and relates to the technical field of computer vision and robot perception. Comprising the steps that S100, initialization is carried out, and an initial pose and an external parameter transformation matrix initial value are obtained through coarse alignment; s200, data acquisition and preprocessing: acquiring IMU data, LiDAR data and Odom data in real time, and performing data filtering, distortion removal, time sequence correction and point cloud downsampling processing on the acquired data; and S300, performing time synchronization processing, estimating the time offset of the LiDAR and Odom data in real time, and performing unified correction to generate a unified timestamp. According to the method, an online time offset estimation and compensation mechanism with an IMU as a main clock is established, accurate synchronization of sensor data of different frequencies is achieved, and the problem of data alignment caused by sampling frequency difference and clock drift is effectively solved; and meanwhile, tight coupling fusion is realized by using an IMU pre-integration factor, a LiDAR residual factor and an Odom constraint factor, so that the space-time consistency of multi-sensor data is remarkably improved.

The invention discloses a voiceprint identification method, system, medium and equipment for instable rotation of an aero-engine compressor, and the method comprises the steps: carrying out the synchronous collection of sound pressure time domain signals of multiple channels of the aero-engine compressor through a microphone array; arranging the multi-channel sound pressure time-domain signals in sequence to construct a time-domain signal matrix; converting the time-domain signal matrix into a frequency-domain signal matrix by adopting a fast Fourier transform algorithm, squaring the amplitude of the frequency-domain signal of each channel to obtain an auto-power spectrum signal of each channel, and outputting an average auto-power spectrogram; the method comprises the following steps: monitoring whether an asynchronous vibration component and a hump characteristic with the frequency difference of one time of rotation frequency appear in an average self-power spectrogram or not, and obtaining an acoustic mode spectrogram of an asynchronous vibration frequency peak value through a single-frequency acoustic mode decomposition method; the acoustic mode order at the asynchronous vibration frequency peak value does not meet the conversion-static interference formula, and the dominant acoustic mode orders are not correlated.

An energy storage system (ESS) includes an energy storage unit, a power conditioning system (PCS), a frequency detection circuit, and a controller. The controller performs first / second frequency adjustment control on the PCS, adjusts a weight of the first / second frequency adjustment control based on a frequency difference between a frequency of an output voltage of the power conditioning system and a target frequency, controls the frequency of the output voltage of the power conditioning system to be the target frequency, and detects that islanding occurs in the power conditioning system. After islanding occurs in the power conditioning system in the energy storage system, the controller can adjust the frequency of the output voltage of the power conditioning system in which islanding occurs to the target frequency, so that islanding can be detected and an anti-islanding protection action can be completed.

The invention discloses a standard unit aging test circuit and a test control method, and the method comprises the steps: enabling a state machine to precisely control the aging stress application and test action switching of each monitor module through a cooperative architecture of the state machine, a difference frequency counting module and the monitor modules, a standard unit to be measured continuously bears stress during non-measurement and rapidly generates stress frequency during measurement, the difference frequency counting module converts frequency difference caused by aging into a quantitative result by comparing the stress frequency with reference frequency, high-precision data is provided for aging evaluation, and the accuracy of aging evaluation is improved. The method realizes deep fusion of the difference frequency principle and the aging measurement process of the standard unit, improves the accuracy of the aging test of the standard unit, and meanwhile, more accurately monitors the temperature information of the standard unit through the frequency difference between the stress frequency signal and the reference frequency signal in combination with the pre-calibrated frequency-temperature characteristic curve.

The invention relates to an RTC clock chip frequency drift accurate modeling method and device based on GNSS clock difference data. The method comprises the following steps: receiving GNSS clock error data, reading RTC clock chip data according to a preset interval, and performing time synchronization on the RTC clock chip data by using the GNSS clock error data; in a preset time window, calculating a frequency difference value sequence according to the GNSS clock difference data and the RTC clock chip data; the GNSS clock difference data and the RTC clock chip data serve as input samples of a pre-constructed neural network model, the frequency difference value sequence serves as an output label, the neural network model is trained, and the trained neural network model is obtained; and inputting real-time RTC clock chip data into the trained neural network model, and outputting a current RTC clock chip frequency drift prediction value. By adopting the method, the frequency drift modeling precision of the RTC clock chip can be improved.

The invention discloses an underwater echo ranging method based on mobile phone sound signals. The method comprises the following steps: discontinuously transmitting customized signals by using a mobile phone loudspeaker, receiving return signals by using a mobile phone microphone, and dividing a plurality of key frame signals in the return signals; performing filtering, frequency mixing, separation, denoising and difference processing on each key frame signal and a customized signal in sequence to obtain a frequency difference; performing filtering, fast Fourier transform and difference processing on each key frame signal in sequence to obtain frequency deviation; adding the frequency difference and the frequency offset of each key frame signal to obtain a frequency comprehensive offset value of the key frame signal, further performing multi-frame joint judgment to filter out abnormal values, and averaging residual values to obtain a frequency comprehensive offset mean value; and the distance between the mobile phone and the water bottom is obtained through calculation processing by combining customized signals. According to the invention, high-precision acoustic signal echo distance measurement can be realized in an underwater environment with low cost, and the method can be applied to the fields of drowning detection, swimming rescue and the like.

The invention belongs to the technical field of slope deformation monitoring, and relates to a slope radar deformation monitoring method based on multi-frequency-point phase unwrapping. According to the method, a dynamic synthesis wavelength extension and terrain constraint combined unwrapping technology is utilized, the unwrapping bottleneck of large gradient deformation is effectively overcome, the synthesis wavelength is generated through multi-frequency combination, and in combination with terrain-guided network flow optimization, the path breakage risk and jump point error transmission of traditional single-frequency-point unwrapping are avoided; secondly, on the basis of a frequency difference physical model, an equation set is constructed through the physical property difference between the deformation phase and the atmospheric phase to directly invert the atmospheric retardation, self-elimination of atmospheric interference is achieved, and a physically pure deformation signal is output through closed-loop phase purification; and finally, through lightweight unwrapping and multi-frequency result weighted fusion, a closed-loop framework from unwrapping, correction to re-unwrapping is constructed, the precision and reliability of deformation monitoring in a complex scene are remarkably improved, and a universal solution is provided for deformation early warning of abrupt slopes and complex terrains.

The invention provides a non-contact measuring device and method for medium pressure in a pipeline based on an ultrasonic surface wave array, and the device comprises an ultrasonic surface wave array transmitting module, an ultrasonic surface wave receiving module, a signal amplification circuit, a high-speed signal collection card, a drive circuit, and an industrial control computer. Respectively sending driving instructions to the driving circuit when the medium pressure in the test pipeline is zero and the test pipeline is in a working state; after the amplified ultrasonic surface wave signals are received, extracting frequency signals including a zero-pressure state ultrasonic surface wave array frequency f0 and a working state ultrasonic surface wave array frequency f, calculating to obtain an ultrasonic surface wave array frequency difference value, and calculating a pressure indicating value through a pressure calculation formula; based on the ultrasonic surface wave array, the pressure of the medium in the pipeline is inverted by measuring the frequency of the ultrasonic surface wave, high-precision non-contact measurement of the pressure of the medium in the pipeline can be realized, and the sensor belongs to a novel mechanical sensor.

The invention discloses a carrier frequency offset large-range capturing and low-steady-state error tracking method, and relates to the technical field of wireless signal tracking. The carrier frequency offset large-range capturing and low-steady-state error tracking method mainly comprises two steps of carrier frequency offset large-range capturing and low-steady-state error tracking, through the deep learning frequency offset prediction and frequency domain parallel capturing technology, the carrier frequency offset capturing range and speed are remarkably improved, large-range frequency offset changes can be rapidly adapted, and the carrier frequency offset capturing speed is improved. And the robustness and the flexibility of the system are enhanced. Meanwhile, a self-adaptive adjustment mechanism enables the search step size and the judgment threshold to be dynamically optimized according to the actual environment, and the capture efficiency is further improved. In the low-steady-state error tracking stage, through fine frequency difference estimation and compensation, phase noise suppression and double-loop carrier tracking technologies, the steady-state error is effectively reduced, and the tracking precision is improved.

The invention discloses a rapid temperature measurement method and device based on micro-air-chamber double absorption spectrums, and belongs to the field of laser absorption spectrum sensing. The device comprises a light source module, a linear frequency sweep control module, a temperature measurement module and a signal acquisition and temperature calculation module. According to the invention, the scanning source, the optical fiber Mach-Zehnder interferometer and the feedback control circuit are utilized to ensure the optical frequency sweeping linearity, and two absorption spectral lines with known frequency difference and carrying temperature information are generated through the acousto-optic modulator. The method comprises the following steps: mapping an absorption spectrum from a time domain to a frequency domain on the basis that the time difference of the same absorption peak on two absorption spectrums with fixed frequency difference on a time domain corresponds to the driving frequency of an acoustic optical modulator, namely delta T = T1-T2 corresponds to the driving frequency f of the acoustic optical modulator, and then calculating by extracting parameters related to temperature on the absorption spectrum of the frequency domain to obtain the temperature of the air chamber. The invention can solve the problem of complexity of the traditional Doppler broadening temperature measurement system, and has the advantages of small measurement volume, low cost, high speed, high stability, strong adaptability and the like.

The invention discloses a laser ablation and parameter optimization system and method for a hemispherical harmonic oscillator. The system comprises a laser, a control system, a frequency difference test module, a vacuum cavity, and an electric rotating base, a working platform, a vibration test clamp, an electric control excitation hammer and a vibration stopping damper which are arranged in the vacuum cavity, the working platform is mounted on the electric rotating base; the vibration stopping damper, the vibration testing clamp and the electrically-controlled excitation hammer are all installed on the working platform. By means of the parameter optimization method of the ablation system, the fitting matching degree is judged according to experimental samples added in real time, and the fitting function is dynamically updated. Laser trimming parameters are determined according to the fitting function, the accuracy of the ablation amount is guaranteed, and the trimming efficiency and convergence are improved. The method is widely suitable for the size of the harmonic oscillator, and provides technical support for engineering development of the high-precision hemispherical harmonic oscillator.