1014 results about "Dynamic range" patented technology

The invention relates to an optical cable monitoring and data analysis method and device, equipment and a medium. The method comprises the following steps: acquiring current state data of an optical fiber link, and dynamically generating adaptive pulse coding parameters and matched filter parameters based on the data by using a deep reinforcement learning agent, so as to generate and inject coded pulses into the optical fiber link; and then receiving an echo signal, performing matched filtering processing on the signal by using the generated matched filter parameter to obtain a filtering output signal, further calculating a performance index vector and a reward signal, and finally updating a strategy network of the intelligent agent by using the reward signal, thereby realizing continuous optimization of pulse coding and matched filtering parameters. Therefore, the system can automatically adapt to the dynamic change of an optical fiber link, the spatial resolution, the dynamic range and the signal-to-noise ratio are effectively improved, and the adaptive capability and the robustness of the system are enhanced at the same time.

The invention relates to the technical field of laser ranging, in particular to an unmanned aerial vehicle dynamic laser ranging method based on multi-source fusion and adaptive compensation, and the method comprises the following steps: obtaining a ranging pulse of a laser ranging module, and carrying out three-axis rotation and coordinate translation in combination with an IMU angle to generate a geographic registration coordinate set; radar and ultrasonic ranging are fused to construct redundant distance compensation data, particle filtering is executed based on IMU acceleration angular velocity to generate an attitude constraint distance, SLAM weight is adjusted according to illumination and meteorological parameters, and an unmanned aerial vehicle dynamic ranging coordinate result set is generated. Spatial registration is executed by combining longitude and latitude height data, by establishing dynamic association between the ranging data and IMU attitude data, smoothness and continuity of the ranging data can be kept when attitude disturbance is severe, the weight proportion of the vision ranging data in multi-source fusion is dynamically adjusted, and the high-precision estimation capacity of the target distance in the dynamic flight state is improved.

The invention relates to the technical field of vacuum measurement, in particular to a device for expanding the linear range of mass spectrometry measurement, which comprises a gas transmission pipeline, an electromagnetic valve, a small hole and a mass spectrometer, and is characterized in that the front end of the gas transmission pipeline is used for allowing a sample to be measured to enter, and the rear end of the gas transmission pipeline is connected with the mass spectrometer; the middle part of the gas transmission pipeline is divided into three channels, namely a first gas transmission pipeline, a second gas transmission pipeline and a third gas transmission pipeline; the first electromagnetic valve and the first small hole are sequentially arranged on the first gas transmission pipeline, the second electromagnetic valve and the second small hole are sequentially arranged on the second gas transmission pipeline, and the third electromagnetic valve and the third small hole are sequentially arranged on the third gas transmission pipeline. According to the method, manual dilution or segmented sample injection is not needed, a wide concentration range can be covered by single analysis, more than 60% of time cost is saved, and measurement in a dynamic range of 106 is realized.

The invention discloses a real-time noise reduction method and system supporting Bluetooth audio interaction, and the method comprises the steps: collecting an environment audio signal and a Bluetooth interaction audio signal, and carrying out the timestamp alignment and spatial calibration of the environment audio signal and the Bluetooth interaction audio signal; an improved multivariate variational mode decomposition algorithm is adopted to decompose and extract noise features, the noise features are combined with user historical noise data, a dynamic noise model is constructed through a long-short-term memory network, parameters are updated in real time, Bluetooth interaction audio content features and a user behavior data recognition scene are analyzed, and a noise reduction strategy is determined. And according to the dynamic noise model and the scene result, reinforcing learning to optimize filter parameters, generating a directional anti-noise signal to carry out noise reduction on the Bluetooth interaction audio signal, collecting the noise reduction intensity manually adjusted by a user, calculating voice definition and total harmonic distortion, and carrying out noise reduction on the Bluetooth interaction audio signal. And inputting a feedback and evaluation result into the modeling and noise reduction steps, carrying out dynamic range adjustment, sound channel balance and power amplification on the audio after noise reduction, and outputting the audio through a loudspeaker.

The invention provides a method and a system for restoring a bamboo-strip character image based on multi-granularity feature guidance, and innovatively designs a coarse-fine two-stage restoration network and end-to-end multi-task loss joint training aiming at the problems of structure-texture confusion, non-uniform degradation, low contrast ratio and the like of the bamboo-strip image. In the coarse repair stage, a font texture and structure double-reconstruction sub-network is used for separating semantics from a source; in the fine repairing stage, multi-scale dynamic range distribution diagram self-attention (Mdma) is provided, pixels are dynamically classified according to degradation intensity, and long-short range dependence joint modeling is achieved; an adaptive mask is designed to sense pixel shuffling downsampling (Ampd), sampling is guided by mask confidence, damage position information is kept, and artifacts are inhibited. Five mainstream methods are compared on a homemade 313 bamboo strip single word data set, the PSNR, the SSIM and the FID are optimal under 0-60% irregular masks, visual evaluation of real missing samples is natural in texture, the structure is complete, and the readability of the bamboo strip characters and the subsequent recognition accuracy are effectively improved.

An optical frequency domain reflectometer with environmental disturbance resistance and large strain measurement capability belongs to the field of distributed optical fiber sensing and comprises an opposite sweep frequency light frequency modulation continuous wave signal generation module, a light splitting device, a modulation device, a circulator, a polarization controller, an optical coupling device, a photoelectric conversion module and a data acquisition and processing module. An optical signal generated by an opposite sweep frequency light frequency modulation continuous wave signal generation module is divided into probe light and local oscillation light through a light splitting device, the probe light is modulated through a modulation device and sent to an optical fiber through a circulator, and a Rayleigh back scattering light signal generated by the optical fiber and the local oscillation light interfere in an optical coupling device to obtain interference light; the photoelectric conversion module mixes beat frequency signals of interference light, and the data acquisition and processing module analyzes and processes the beat frequency signals. According to the invention, the position information of the Rayleigh backscattering point is marked by using the modulated probe light, the Rayleigh scattering signal at the corresponding position is restored, crosstalk between channels is inhibited, and high-precision measurement in a large dynamic range and resistant to environmental disturbance is realized.

The invention discloses a wide-dynamic-range diamond NV color center magnetic sensing method and system, and the method comprises the steps: (1) calibrating the initial resonant frequency and magnetic sensing coefficient of a diamond NV color center in an initial magnetic field environment; (2) in a to-be-measured magnetic field environment, a microwave generator applies frequency-modulated microwaves to the diamond NV color center with the current resonant frequency as the center frequency; demodulating the fluorescence signal in real time by using a phase-locked detection technology to obtain an error signal; calculating the detuning amount of the center frequency in real time according to the error signal and the magnetic sensing coefficient, and further calculating the variable quantity of the magnetic field intensity; meanwhile, the detuning amount is fed back to a microwave generator to track the resonance frequency of the diamond NV color center; and (3) continuously and repeatedly executing the step (2) to realize wide-dynamic-range magnetic field measurement. The method has the advantages of wide dynamic range, high detection capability on strong and weak field mixed signals in a complex application scene and the like while giving consideration to the magnetic sensing sensitivity.

The invention discloses a three-dimensional temperature field online reconstruction system based on receiving and transmitting integrated sound wave sensing, and relates to the field of boiler monitoring. Comprising an information acquisition module, an emission control module, a reconstruction sensing module, a path optimization module, a sound wave receiving module, an amplitude limiting filtering module, a decoding separation module, a feature extraction module, a physical simulation module, a multi-source fusion module, a three-dimensional reconstruction module, a state monitoring module and an online calibration module. According to the method, the transmitted signal can still keep high identifiability in a high-noise and strong-interference background, the credibility of subsequent inversion and data assimilation is improved, a sensing network can be self-optimized, the observation precision and the space coverage capability are improved, a wide dynamic range and high linearity are realized, a simulation result is closer to a real working condition, and the method is suitable for large-scale popularization and application. And the reliability of temperature field inversion is obviously improved.

The invention provides an optical sensing measurement method based on closed-loop adjustment of LED driving, and relates to the technical field of optical sensing. The method comprises the following steps: initializing a system; the microcontroller reads a current value of the analog-to-digital converter and calculates an error; calculating a new set value of the driving current of the light emitting diode according to the error; the microcontroller outputs the new set value to the digital-to-analog converter, the digital-to-analog converter controls the driving circuit to adjust the driving current of the light emitting diode, and after a preset time period, the current value of the analog-to-digital converter is collected; repeating the steps, when the error absolute value is smaller than a preset threshold value, judging that closed-loop convergence occurs, and recording the driving current at the moment and the current value of the analog-to-digital converter as measurement results; and obtaining the sample concentration according to the calibration curve and the driving current in the measurement result. According to the scheme, the dynamic range and the low-concentration precision are remarkably improved, LED aging and temperature excursion are inhibited, the circuit is simplified, and multiple groups of current-limiting resistors and multi-gear change-over switches are not needed.

The present application discloses a low-cost and high-performance radio-frequency amplifier, comprising an input stage circuit, a common-gate stage circuit, and an output load circuit. The input stage circuit implements conversion from a single-ended signal to a differential signal, implements input impedance matching, and converts an inputted radio-frequency voltage signal into a radio-frequency current signal. The input stage circuit comprises a first three-coil transformer, consisting of a primary coil, a secondary coil, and a third coil. The common-gate stage circuit transmits the radio-frequency current signal outputted by the input stage circuit to the output load circuit, increases the withstand voltage and equivalent output impedance of the circuit, and implements gain control in at least two modes. The output load circuit converts the radio-frequency current signal from the common-gate stage circuit into a radio-frequency voltage signal, implements conversion from a differential signal to a single-ended signal, and outputs an amplified radio-frequency voltage signal. The present application provides a radio-frequency amplifier having a small size, broadband matching, high linearity, a large dynamic range, and low design complexity.

The invention discloses a cable partial discharge signal noise separation mode identification method and system, and particularly relates to the technical field of cable partial discharge detection, in a multi-cable stacking environment, partial discharge signals are synchronously collected through multiple types of sensors such as a high-frequency current sensor, an ultrasonic sensor and an electromagnetic antenna; performing band-pass filtering, wavelet denoising and multi-channel synchronous alignment on the acquired signals to suppress background noise and retain key features of partial discharge pulses; separating the mixed signals by adopting independent component analysis; calculating a decision coefficient based on an inter-channel correlation coefficient, a signal-noise power ratio and an amplitude dynamic range, and judging whether to introduce a denoising method based on deep learning; for the waveform after noise separation, executing an amplitude re-calibration process so as to correct amplitude scaling uncertainty, and extracting multi-dimensional time domain, frequency domain and phase features; and a support vector machine and other machine learning algorithms are combined to realize automatic identification of partial discharge types.

The invention relates to a dynamic path prediction method for satellite antenna tracking and computer equipment, and the method comprises the steps: collecting satellite antenna tracking angle data which comprise original data and actual data; calculating a first deviation sequence and a second deviation sequence based on the original data and the actual data; performing curve fitting on the first deviation sequence and the second deviation sequence through a fitting algorithm, substituting a fitting result into a pre-constructed mathematical model to obtain a prediction model, and extrapolating and predicting a prediction deviation of a preset time point through the prediction model; and compensating the predicted deviation to original data corresponding to the preset time point, and generating a dynamic range instruction, so that the satellite antenna is aligned with the communication satellite under the action of the dynamic range instruction. And the satellite antenna can continuously align to the real position of the communication satellite.

The invention discloses a quantum partial discharge detection system and method based on single photon measurement. The system comprises a photoelectric detection module and an information transmission and processing module which are connected in pairs. A free space light collection unit in the photoelectric detection module is used for converging photons of partial discharge radiation and guiding the collected photons to a classic weak light detection unit and a single photon detection unit respectively; the classic weak light detection unit is used for converting an optical signal into an electric pulse signal based on an internal photoelectric effect; the single-photon detection unit is used for detecting extremely weak light and even single-photon events and outputting discrete electric pulse signals. The classical weak light detection unit and the single photon detection unit operate in parallel, partial discharge optical detection with a wide dynamic range and a high signal-to-noise ratio is realized through a signal fusion and processing algorithm, electromagnetic interference is effectively inhibited, and a more comprehensive and reliable monitoring means is provided for evaluation of the insulation state of power equipment.

The invention discloses an infrared focal plane detector nonlinear calibration and parameter calculation method based on flat field data, which comprises the following steps: collecting flat field and dark field sequences at different integration times, and calculating a group mean value and a group difference for each pixel; fitting a linear baseline by using a low-brightness area, constructing a ratio sequence, representing deviation of a mean value by using a quadratic multiplicative model, and linearizing a measurement signal of a pixel; counting the covariance of the pixel and the neighborhood offset of the pixel in each integration time, fitting to obtain a space coupling model changing along with a mean value, and adding back the variance dispersed by the neighborhood to obtain a corrected variance; photon transfer curve fitting is carried out on the corrected variance-mean value data, and pixel-by-pixel gain and readout noise are obtained; pixel response heterogeneity is calculated on the highlight unsaturation and the flat field, and the full-well charge and the dynamic range are deduced according to the saturated DN value. According to the invention, key parameters of pixel-by-pixel gain, readout noise, PRNU, full-well charge, dynamic range and the like can be stably obtained.

The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear power plant vibration measurement method and device based on a dynamic range technology. Comprising the following steps: sampling vibration signals after gain amplification by using a plurality of analog-to-digital converters with different measuring ranges to obtain an initial digital sequence; the initial digital sequence comprises a signal amplitude; performing amplitude region division on the initial digital sequence according to the magnitude of the signal amplitude to obtain a plurality of signal segments in different amplitude regions, and endowing the analog-to-digital converter with a target weight according to the saturation of the signal segments in the measuring range of each analog-to-digital converter; the saturation is the ratio of the signal amplitude to the upper limit of the measuring range of the analog-to-digital converter; the target weight comprises sub-weights respectively corresponding to a plurality of different signal segments of the analog-to-digital converter; and performing weighted fusion and splicing on the signal segments based on the sub-weights of the analog-to-digital converters in the different signal segments to obtain a target sampling signal.

Variable Orifice Plate technology represents new physics for measuring fluids accurately over a dynamic range and obsoletes fixed orifice plates. Therefore, a new balancing procedure using an updated correction factor is needed to mitigate and calibrate for field systems effects. Architectures are provided that can leverage correction factor values (CFVs) that are determined from a third party device such as a TAB contractor in order to determine other CFVs for a fluid flow with a variable aperture. The fluid flow device can change state, which changes the area of the variable aperture and, accordingly, the fluid flow profile. Multiple CFVs can be determined from TAB measurements taken while the fluid flow device is in respective different states, while other CFVs for different states can be determined as a function of the known CFVs and associated states or other suitable data such as damper position, aperture area, or the like.

The invention relates to the technical field of wireless communication and signal processing, in particular to a short-wave spectrum efficient sampling method and system based on compressed sensing, and the method comprises the steps: collecting full-band power spectrum density data through a low-speed scanning receiver; determining a strong interference frequency point set; generating a binary null observation sequence; loading the binary null observation sequence to an analog front-end frequency mixing circuit, performing analog domain orthogonal frequency mixing and integral processing on the input radio frequency signal, and outputting a voltage sampling value; resolving to obtain a signal sparse coefficient through a compressed sensing reconstruction algorithm; calculating a reconstruction residual error according to the voltage sampling value and the signal sparse coefficient; in response to the condition that the reconstruction residual error is greater than a preset error threshold, triggering a reacquisition process of the power spectral density data; outputting a signal sparse coefficient in response to the condition that the reconstruction residual error is smaller than or equal to a preset error threshold; according to the invention, the problems of limited dynamic range and weak signal submerging are solved, and the receiving sensitivity of weak signals in a strong interference environment is obviously improved.

The invention relates to the technical field of photoelectric detection, in particular to a global self-defined sampling method based on a germanium-silicon photoelectric detector array, which comprises the following steps of: S1, constructing the germanium-silicon photoelectric detector array with an n * t specification, receiving a target optical signal by using each detector unit as a pixel point, converting the target optical signal into an initial current signal, the signal is linearly amplified into a voltage signal through an external transimpedance amplifier; s2, digitalizing the voltage signal into a binary discrete digital signal through a high-speed analog-to-digital converter at the output end of the trans-impedance amplifier; and S3, performing global synchronous sampling to obtain a first group of data, performing repeated sampling in the same mode to obtain multiple groups of data, performing pixel-by-pixel superposition to generate fused data, and performing user-defined setting on the repeated sampling frequency within 1-1024 times. By customizing the number of repeated sampling times and data superposition, adapting to different light intensities and expanding the detection dynamic range, the problems of strong light overexposure and weak light underexposure are solved, the data consistency is guaranteed in combination with global synchronous sampling, and the detection precision and the environmental adaptability are improved.

The invention discloses a multi-modal noise reduction evaluation model based on density sensitive clustering, and the model proposes a bidirectional optimization framework of dynamic coupling unsupervised feature extraction and supervised dimension reduction for the dimension reduction demand of high-dimensional data before the high-dimensional data is input into a machine learning model. A topological feedback channel between a high-dimensional space and a low-dimensional manifold is constructed, and a comprehensive scoring system of six types of orthogonalization evaluation indexes is combined, so that automatic selection of a dimension reduction algorithm is realized. The method comprises the following steps: designing a cross-space structure fidelity verification mechanism based on bidirectional topological mapping, a dynamic range calibration and robust normalization system of a multi-modal index, an adaptive search and quality constraint engine of a density clustering parameter, and a composite scoring function design oriented to resource optimization. The method is suitable for a high-noise multi-modal data scene formed by multi-dimensional data including spectral wavelength, intensity, pulse width and the like and different mathematical quantities, all dimensions of the multi-dimensional data can be associated with different databases, and potential association of statistical or physical significance exists among the data.

The invention discloses a large dynamic range Hartmann sensor out-of-focus measurement method and device, and belongs to the technical field of wavefront detection, and the method calculates the out-of-focus amount by measuring the change of the distance from a sub-light spot to the center of a light spot array, thereby achieving the out-of-focus measurement of an ultra-large dynamic range. According to the method, under the condition that the defocusing amount is too large and the sub-light spots cross the sub-apertures, the defocusing amount is estimated by measuring the distance variation of the sub-light spots to the center of the light spot array. According to the method, the defocusing amount is calculated by analyzing the position change of the sub light spots and calculating the distance difference between the sub light spots and the center of the target surface, so that the limitation of the traditional Hartmann measurement method on the dynamic range is overcome. According to the method, the light spot distance is used as a measurement basis, and the out-of-focus range capable of being detected by the Hartmann sensor is remarkably expanded. The estimation mode based on the light spot distance is suitable for the situation that sub-light spots cross sub-apertures, and an efficient and reliable defocus measurement scheme is provided for a large optical system.

An image sensor may include an array of imaging pixels arranged in rows and columns. A method of operating an imaging pixel is provided that includes accumulating charge in a photosensitive element, allowing the accumulated charge in the photodiode to overflow into a capacitor that is coupled to a reset transistor having a gate terminal configured to receive a reset control signal during an integration phase, and extending the dynamic range of the imaging pixel by dynamically adjusting the reset control signal from a first voltage level to a second voltage level during the integration phase. The reset control signal can be lowered from the first voltage level to the second voltage level in a discrete or continuous fashion such that a portion of the overflow charge in the capacitor represents a linear signal and a portion of the overflow charge in the capacitor represents a non-linear signal.

An electronic interface device is configured for use with associated optics for employing coded light for illuminating a liquid, gaseous, or other analyte or target, such as for measuring or determining a composition or other property of the analyte or target. The arrangement can help enable a far higher level of performance, such as for spectral analysis, imaging, or both. A shared common clock on both the illumination and receive sides of the system can be included, such as together with one or more of reference detection, per-channel wavelength-dependent modulation, multiple concurrent feedback loops at different levels, orthogonal and circulant codes, phase-scrambling to better utilize ADC dynamic range, oversampling, and other signal processing can be provided. Modulation codes can optionally employ a clock divider, such as which can be configured to satisfy one or more specified constraints.

The invention discloses a measurement system and method based on dynamic distance measurement adjustment, and belongs to the technical field of three-coordinate measurement, and the system comprises a three-coordinate machine main body, a dynamic distance measurement module, a data fusion module, a coordinate system calibration module and a data processing module. The dynamic distance measuring module divides data and adjusts measuring head parameters, the data fusion module outputs accurate data after preprocessing and denoising, the calibration module selects three points to establish a system, and the processing module monitors data fluctuation and generates a result; starting a system to collect initial contour, distance and shaft speed data of the workpiece; classifying, associating and analyzing the data; dynamically adapting sampling parameters; performing multi-source data fusion optimization; selecting a reference point, establishing a system and calculating coordinates of a to-be-measured point; monitoring data stability, and generating a three-dimensional model and a measurement result of the workpiece; according to the method, errors are reduced by dynamically adjusting parameters, optimizing data fusion and reliably calibrating.

Provided is a buffer circuit that can realize a wide dynamic range, a reduced area, and a reduced power consumption amount while maintaining low output impedance. The buffer circuit includes a first transistor, a current source, a second transistor, an output terminal, and first and second capacitors. The first transistor has a gate to which an input signal is input. The current source is connected to one terminal of the first transistor. The second transistor is connected to the other terminal of the first transistor. The output terminal is connected to the one terminal or the other terminal of the first transistor. The first and second capacitors are between the current source and the gate of the second transistor. The first transistor, the second transistor, and the first capacitor form a first feedback circuit. The first transistor, the current source, and the second capacitor form a second feedback circuit.

The invention relates to the technical field of audio processing, discloses an AI-based cloud terminal dynamic audio processing method, and aims to solve the problem that an existing scheme cannot dynamically adapt to scene changes. The scheme mainly comprises the steps of collecting environmental noise data, and extracting environmental perception features after preprocessing, framing and frequency domain transformation; performing framing processing on the played audio data, extracting an MFCC feature, a logarithmic short-time energy feature and a zero-crossing rate feature, and obtaining a scene recognition result through a CNN + LSTM scene classification model; splicing the environment perception features and the scene recognition result into a joint feature vector, and inputting the joint feature vector into an AI model to obtain an adaptive gain curve parameter, a scene adaptive noise suppression parameter and an anti-distortion dynamic range control parameter; processing the played audio to obtain optimized audio data; and updating AI model parameters through a PPO algorithm based on the reward value of the user feedback data. According to the invention, intelligent audio processing dynamically adapting to environments and scenes can be realized, and the audio experience of the cloud terminal is effectively improved.

The invention provides a compression method and device for soft information in a signal demodulation process and electronic equipment. The method comprises the following steps: acquiring linear soft information output by demapping in a signal demodulation process, wherein the linear soft information has a preset dynamic range; the linear soft information is subjected to dynamic range compression processing through a nonlinear quantization algorithm, nonlinear soft information is obtained, and the number of quantization levels allocated to low-amplitude soft information by the nonlinear quantization algorithm is larger than the number of quantization levels allocated to high-amplitude soft information by the nonlinear quantization algorithm; and outputting the non-linear soft information to a decoder, so that the decoder restores an original hard bit stream transmitted by a signal transmitting end based on a confidence coefficient characteristic in the non-linear soft information, and the bit width of the non-linear soft information is adaptive to the bit width constraint of the decoder on the input information. According to the invention, information loss in a signal demodulation process can be reduced.

An arithmetic processing device includes: an arithmetic unit configured to execute an arithmetic operation corresponding to each of layers constituting a neural network and output an arithmetic operation result; an analysis unit configured to perform, for each of division units obtained by dividing the arithmetic operation result by one or more units, an analysis according to the arithmetic operation result belonging to the division unit, and output an analysis result for each division unit; a decimal point position determination unit configured to determine a decimal point position indicating a dynamic range for each division unit on the basis of the analysis result for each division unit output by the analysis unit; and a quantization unit configured to perform quantization on the arithmetic operation result to become fixed-point data having a decimal point position determined for the division unit to which the arithmetic operation result belongs.

An image capturing apparatus capable of generating a depth synthetic image with a wide dynamic range efficiently. The image capturing apparatus including a changing unit that changes a focus position, an image capturing unit that obtains images with different exposures by one exposure at each focus position, and a synthesis unit that generates a depth synthetic image having a wider dynamic range and a deeper depth of field than the images obtained by the image capturing unit using the images obtained by the image capturing unit.

The invention discloses a dynamic range compression method and device for magnetic flux leakage signal visualization, and the method comprises the steps: obtaining an original magnetic flux leakage signal data matrix obtained through part of collection data, and obtaining a gradient signal matrix after preprocessing and gradient enhancement; obtaining an initial value of a controllable percentile parameter p; calculating a dynamic threshold group based on the current parameter p and the statistical distribution of the gradient signal matrix; carrying out nonlinear compression transformation on the gradient signal matrix by adopting an S-shaped nonlinear compression function and taking a dynamic threshold group as a scale factor to obtain a normalized feature matrix; visual mapping is carried out in combination with the dynamic threshold group, and a pseudo-color image is output; and when the preset requirement is not met, adjusting the parameter p, processing again until the preset requirement is met, and applying the parameter p to all the collected data to obtain a final pseudo-color image. According to the method, the problem of visual range imbalance caused by the great dynamic range of the magnetic flux leakage signal is solved, the parameter adjustment robustness and efficiency can be improved, and slight defect detail reservation and serious defect signal tolerance are both considered.

The invention relates to the field of compound qualitative analysis, and provides an SERS statistical quantitative analysis method and system based on signal-to-noise ratio regulation, and the method comprises the following steps: carrying out SERS spectrum collection on target molecules with different concentrations on a reference batch SERS substrate through a point-by-point measurement method to obtain an original spectrum data set; on the basis of a multi-signal-to-noise-ratio standard, identifying characteristic peaks of the original spectrum data set to obtain a quantitative standard curve set; carrying out recovery rate verification on the quantitative standard curve set to obtain a verified standard curve set; and through the verification standard curve set, carrying out reverse derivation on the SERS detection rate of the target molecule with unknown concentration on the batch of SERS substrates to be detected to obtain a predicted concentration value of the target molecule. According to the invention, the dynamic range and precision of detection are expanded.