37 results about "Peak analysis" patented technology

The invention provides an AGV navigation texture feature extraction and identification method, which comprises the following steps: analyzing the spatial distribution position of a plurality of extracted matching peak values according to the matching peak values, counting the number of the peak values and the repeated spacing between the peak values, and identifying a positioning fuzzy region caused by texture cycle repetition; scanning a local aperiodic mark position according to the identified positioning fuzzy region, and performing uniqueness verification based on the geometric shape feature and color attribute of the mark to obtain a unique anchor point coordinate and a mark type; according to the unique anchor point coordinate, combining with the tile texture data to extract a texture repetition interval, analyzing the size of the texture repetition interval and a preset threshold value, and determining a periodic intensity value; dynamically adjusting a position screening range according to the periodic intensity value, establishing a screening constraint condition, and applying the screening constraint condition to a phase correlation method to obtain a preliminary positioning candidate point set;

The invention provides a tip Raman-based metal oxide nanoparticle in-situ detection method, which comprises: S1, dispersing metal oxide nanoparticles in a nanoparticle dispersion liquid, focusing laser to the tip of a nanometer tip through an objective lens, capturing a single nanoparticle by using an optical tweezers technology, and attaching the single nanoparticle to the nanometer tip; s2, focusing Raman laser on a nano needle tip-particle interface, generating a local high-temperature field through a photo-thermal near-field coupling effect, triggering a thermal chemical reaction of nano particles, and synchronously collecting a Raman spectrum; and S3, carrying out pretreatment and characteristic peak analysis on the collected Raman signal of the Raman spectrum, and determining the reaction critical temperature and the dynamic process in combination with temperature calibration data. According to the invention, capture and accurate heating of the nanoparticles are realized through photo-thermal coupling of the optical tweezers and the needle tip, and thermal chemical reaction monitoring of the nanoparticles is realized.

The invention discloses a liquid chromatographic peak intelligent analysis method and system based on deep learning, and relates to the technical field of data processing. The method comprises the following steps: constructing a chromatographic peak intelligent analysis network based on deep learning, and training the network by using a sample chromatogram until convergence; inputting a to-be-analyzed chromatographic signal into the chromatographic peak intelligent analysis network, and evaluating the reliability of a prediction result based on the probability distribution of the key physical parameters output by the chromatographic peak intelligent analysis network to obtain a result confidence coefficient; dynamically adjusting the number and composition of the sample chromatograms based on the result confidence and a preset confidence threshold, and continuously updating the chromatographic peak intelligent analysis network; and recording an attention mechanism of the chromatographic peak intelligent analysis network as a weight fraction allocated to each data point, mapping the weight fractions back to a time sequence of an original chromatographic signal, carrying out visualization through a color gradient, and superposing the weight fractions on an original chromatographic curve in a semitransparent layer form to generate a chromatographic peak thermodynamic diagram. According to the invention, the efficiency and precision of liquid chromatography analysis are effectively improved.

The invention relates to the technical field of agricultural product safety detection, in particular to an agricultural product veterinary drug residue high-throughput detection method and system based on spectrum peak analysis. The method comprises the following steps: acquiring multiple batches of spectral data, and performing cross-batch pre-alignment according to the multiple batches of spectral data to obtain cross-batch alignment data; performing background baseline estimation according to the cross-batch alignment data to obtain background baseline data; congestion detection area extraction is carried out according to the cross-batch alignment data to obtain congestion detection area data; performing common-peak decoupling according to the congestion detection area data to obtain common-peak decoupling data; performing residual image construction on the common peak decoupling data according to the background baseline data to obtain residual image data; performing image feature extraction according to the residual image data to obtain image feature data; and performing residual judgment according to the graph feature data to obtain residual judgment data. According to the method, the identification accuracy of spectrum peak pseudo-congestion and residual abnormity in a high-throughput mixed agricultural product detection scene is improved.

The invention provides a traditional Chinese medicine formula granule spectrum similarity evaluation system, and relates to the technical field of traditional Chinese medicine, and the system comprises: a spectrum acquisition module, which is used for separating active components with similar polarity in a compound salvia miltiorrhiza formula granule test solution by gradient elution based on chromatographic conditions to obtain a characteristic spectrum; and the analysis processing module is used for carrying out analysis processing on overlapped chromatographic peaks in the characteristic spectrum, distinguishing characteristic signals corresponding to main active components and trace components, and realizing separation and identification of characteristic peaks of different components in the mixture so as to obtain a characteristic peak analysis result. According to the method, the standard characteristic chromatogram database is constructed through gradient elution and deconvolution processing, and the accuracy and standardization of quality evaluation of the traditional Chinese medicine formula granules are improved.

The invention relates to a Rydberg atomic communication receiving system and method based on AT split peak value analysis, and belongs to the technical field of quantum communication. The system comprises a detection laser, a coupling laser, an AOM / EOM, a function generator, a high-frequency signal generator, a cesium atom gas chamber, a photoelectric detector, a lock-in amplifier, a data acquisition module and a microwave signal output module. The AOM / EOM modulates the frequency of the detection laser; the microwave signal output module generates an AM modulation microwave signal and transmits the AM modulation microwave signal to the cesium atom gas chamber, so that the target Rydberg state atoms generate an AT splitting effect to calibrate system parameters; the photoelectric detector and the lock-in amplifier obtain a first harmonic component based on the transmission light. During communication, the system is arranged in a microwave electric field received by communication, and the data acquisition and processing module outputs AM modulation microwave signals received by the recovered cesium atom gas chamber based on calibrated system parameters and phase locking. The method solves the problem of signal distortion existing in EIT-AT direct communication transmission and the problem of tedious operation of a heterodyne method.

The invention relates to the technical field of data processing, and discloses a bandwidth traffic peak analysis method and system based on time series data and a storage medium, and the method comprises the steps: preprocessing service data to obtain a to-be-predicted sample Y and a training library B; randomly extracting n1 samples from the B, and calculating the distance between each sample and the Y; in n1 samples, arranging in a descending order to form a set Ct1; circularly calculating to obtain a plurality of Ct1 and taking a union set as CT; calculating to-be-predicted data in Y as Y1 according to CT; calculating delta y = Y1-y1, wherein y1 is a true value; random samples of the CT are removed, delta y is updated, and the sample with the minimum delta y in the CT is deleted; updating the CT, moving the data to be measured forward, and circulating to form a CTm sequence; calculating a Ym value of the current to-be-measured data; according to the Ym value, the bandwidth is adjusted in a positive correlation mode, and the bandwidth is automatically adjusted through flow prediction.

The application provides a kind of multi-agent-based spectral data autonomous analysis method, it is related to the technical field of data processing, method includes: through multi-agent cooperation mechanism, the whole process of spectral data from acquisition, quality evaluation, pretreatment, spectral peak analysis to phase inference is unified modeling and scheduling, data quality information is converted into constraintable pretreatment strategy by central coordination agent, and consistency check and conflict arbitration are implemented on spectral peak parameters and phase inference results at the end of analysis, so that adaptive processing and result check are realized under the premise of maintaining spectral structure correlation relationship.The application can improve the accuracy of spectral data analysis.

The invention discloses a superfluid helium second sound wave attenuation measurement system. The system comprises a signal generation module, a transducer module, a signal conditioning module, a bias power supply module, a protection isolation module, a data processing module, a temperature control module and a pressure control module. The signal generation module outputs AC excitation signals, the transducer module converts electric signals and second sound waves mutually, the signal conditioning module extracts effective signals and outputs direct-current signals, the bias power supply module provides direct-current bias voltage, the protection isolation module guarantees equipment safety and signal isolation, and the temperature and pressure control module maintains the superfluid helium state to be stable. The data processing module supports a steady state measurement mode and a transient state measurement mode, and vortex line density is analyzed and calculated through harmonic peaks. Compared with an existing measurement system, the system is high in signal stability, standard in calibration process, suitable for various measurement scenes, convenient to operate and wide in applicability, and high-precision quantitative measurement of superfluid helium second sound wave attenuation is achieved.

The embodiment of the invention discloses a VOCs data digital intelligent quality control auditing and processing method and system and electronic equipment. A specific embodiment of the method comprises the following steps: preprocessing acquired volatile organic compound spectrogram data; performing peak analysis on the preprocessed spectrogram data; performing substance matching on the chemical peak characteristic data set; obtaining a chemical peak concentration set based on a substance matching result; based on a multi-stage abnormal data analysis algorithm, obtaining an abnormal analysis result; and obtaining an anomaly correction result based on a preset anomaly correction model. According to the embodiment, the effect that equipment abnormity correction cannot be carried out according to the abnormity analysis result is achieved.

A chromatogram analyzer having a function for automatically excluding noise peaks from analysis targets is provided. [Solution] In a fluid chromatograph (100), a sample arrival time, which is the time required for a sample injected into a mobile phase to reach a detector (108), and a mobile phase arrival time, which is the time required for the mobile phase delivered from a liquid delivery device (102) to reach the detector (108), are calculated based on system information, which is the capacity of the piping, flow rate information related to the flow rate of the mobile phase, and composition information for each time period during analysis. A target range determination unit (8) determines these based on the mobile phase arrival time and the sample arrival time so that composition-related peaks, which are peaks caused by a sudden change in the composition of the mobile phase, and injection-related peaks, which are peaks caused by the injection of the sample, are excluded from the analysis target. The system is configured to perform peak analysis within the target range determined by the target range determination unit (8).

The invention provides a microbial pollution source tracing method based on Sanger sequencing overlapping peak analysis, which comprises the following steps: analyzing and enumerating multi-base overlapping peaks in a sequencing peak graph to generate all possible base combination sequences, comparing with a microbial database, and screening effective sequences to identify bacterial strain types. And high-threshold homologous comparison is further carried out on the identified mixed strains and a pre-constructed pollution source standard gene sequence library, so that the pollution source is accurately traced. According to the method, original invalid sequencing data is fully utilized, repeated experiments are avoided, and accurate identification of main strains and systematic tracing of pollution sources are realized.

This application discloses a method, apparatus, device, and storage medium for identifying population changes, applied in the field of population census. The method includes: acquiring initial height data of rented rooms collected by an ultrasonic device in the current period; performing density distribution analysis on the initial height data using a kernel density estimation algorithm to obtain a height distribution probability formula; fitting the height distribution probability formula into a height curve using a grid data cross-validation method; performing peak analysis on the height curve to determine the number and height of people in the rented room; and determining whether population change has occurred based on the number and height. This application utilizes density distribution analysis and grid data cross-validation to overcome the inaccuracies in detecting multiple people in existing technologies. Specifically, when multiple people are present in a rented room, this method can accurately detect the number and height of people in the room, and determine whether there has been a change in the number of people or population movement based on their height and number of people in the room.

The application relates to a method for rapidly and automatically distinguishing components in a mixed solution based on a TLC-SERS technology, and relates to the field of spectral detection; the application aims to solve the problems that TLC-SERS cannot accurately analyze substances with similar structures and is too dependent on subjective interpretation and ability of operators; the application assembles silver sol nanoparticles on the surface of a TLC plate, and a large-area TLC-SERS substrate with high sensitivity and repeatable detection is prepared; spectral collection is carried out, and TLC-SERS spectra of all target substances are generated; then, two machine learning algorithms are adopted to analyze the TLC-SERS spectral data; compared with a conventional manual SERS peak analysis method, the proposed machine learning algorithm depends on overall analysis of spatial information and spectral information of the TLC-SERS spectral data, instead of spectral information determined by main characteristic SERS peaks, so that the accuracy of SERS peak identification of different substances is greatly improved.

The invention discloses a method for measuring the original austenite grain size of high alloy steel through an X-ray diffractometer method, and belongs to the technical field of metal material detection. According to the method provided by the invention, nondestructive testing is realized by establishing the quantitative relation model of the martensite phase change product and the original grain size, chemical erosion and mechanical damage of a traditional metallographic method to a sample are avoided, the method can be directly used for quality inspection of a finished product, and a new technical means is provided for whole-process quality control of a steel product; an optimized diffraction peak analysis algorithm is combined, so that the measurement precision is remarkably improved; the detection process is simple, convenient and efficient, the single detection time can be shortened to be within 30 minutes, the detection efficiency is greatly improved, and the method is particularly suitable for rapid detection requirements of batch samples.

A chromatography analysis device is provided with: a system information storage unit (2) for storing a system capacity, which is the capacity of a pipe through which a sample of a fluid chromatograph (100) passes; an analysis information storage unit (4) that stores a chromatogram obtained by the analysis performed by the fluid chromatograph, flow rate information relating to the flow rate of the mobile phase at the time of analysis, and composition information relating to the composition of the mobile phase at each time period at the time of analysis; a time calculation unit (6) that calculates, on the basis of the system capacity, the flow rate information, and the composition information, a mobile phase arrival time required for a mobile phase delivered from a liquid delivery device (102) of the fluid chromatograph to reach a detector (108), and a sample arrival time required for a sample into which the mobile phase is injected to reach the detector; a target range determination unit (8) that determines a target range for peak analysis on the chromatogram on the basis of the mobile phase arrival time and the sample arrival time so as to exclude composition-caused peaks and injection-caused peaks from analysis targets; and a peak analysis unit (10) that performs peak analysis in the target range determined by the target range determination unit.

To detect a solid such as an aggregate contained in a liquid specimen with high accuracy.SOLUTION: An aggregate detecting device includes a light source configured to irradiate light to a specimen sealing tube in which a liquid specimen is sealed, a light receiving unit configured to detect polarized light transmitted through the specimen sealing tube, and a processor, wherein the processor calculates a polarization intensity value from image data of the polarized light detected by the light receiving unit, and performs peak analysis from a distribution of the polarization intensity value to determine presence or absence of a solid material.SELECTED DRAWING: Figure 4

According to examples, a fiber element offset length-based optical reflector peak analysis apparatus may include an optical element optically connected to a laser source that emits a laser beam. The optical element may include a pre-set offset length between a plurality of adjacent branches. The fiber element offset length-based optical reflector peak analysis apparatus may further include an optical time-domain reflectometer (OTDR) to generate, based on optical reflection signals received from corresponding optical reflectors attached to devices under test (DUTs) that are attached to the plurality of adjacent branches, an OTDR trace that qualifies each of the DUTs.

This invention relates to the field of artificial intelligence technology, and discloses a text content comparison and matching method, apparatus, device, and medium. The method includes sequentially performing character adaptation and normalization, phonological encoding conversion, segmentation processing, fuzzy weighted edit distance calculation, peak analysis and path backtracking, and jump threshold traversal judgment on template text and speech recognition text to obtain text comparison and matching result data. In this invention, addressing the problem that existing text content comparison and matching schemes struggle to accurately identify the continuous inclusion of speech recognition text in template text, character adaptation and normalization and phonological encoding conversion can eliminate character form differences; segmentation processing and fuzzy weighted edit distance calculation can suppress accumulated errors; and peak analysis, path backtracking, and jump threshold traversal judgment are then applied. This method can be applied to the financial and medical fields, thus accurately identifying the continuous inclusion of speech recognition text in template text at the character granularity.

The invention relates to the technical field of intelligent sensors, in particular to a concrete stirring performance prediction method based on deep learning, which comprises the following steps: synchronously acquiring a concrete diffuse reflection spectrum and a friction acoustic emission signal in a pneumatic optical coupling flow environment; the chemical components of the expanding agent are represented by analyzing the differential form of a spectral absorption peak, and the particle rheological state is analyzed by combining the time-frequency energy entropy evolution law of the sound wave signal; performing physical verification and dynamic fusion on the chemical component characteristics according to the rheological state analysis result to generate an intermediate index reflecting the mixing uniformity; and thermodynamic dissipation equilibrium constraint of particle fluid dynamics is introduced to carry out energy consistency correction on the index, and finally the restricted expansion rate representing the volume stability of the material is calculated. According to the invention, real-time online prediction and analysis of the restrained expansion rate of concrete in a severe environment are realized through multi-dimensional collaborative perception of the intelligent sensor and heterogeneous signal analysis under physical constraints.

A chromatogram analysis apparatus comprises a system information storage unit configured to store a system volume, which is a volume of piping through which a sample of a fluid chromatograph passes; an analysis information storage unit configured to store a chromatogram acquired by an analysis performed by the fluid chromatograph, flow rate information regarding a flow rate of a mobile phase during the analysis, and composition information regarding a composition of the mobile phase in each time period during the analysis; a time calculation unit configured to calculate a mobile phase arrival time, which is a time required for a mobile phase delivered from a liquid sending unit of the fluid chromatograph to reach a detector, and a sample arrival time, which is a time required for a sample injected into the mobile phase to reach the detector, based on the system information, the flow rate information, and the composition information; an analysis range determination unit configured to determine a target range for peak analysis on the chromatogram based on the mobile phase arrival time and the sample arrival time, such that a composition-derived peak, which is a peak caused by a rapid change in the composition of the mobile phase, and an injection-derived peak, which is a peak caused by the injection of the sample into the mobile phase, are excluded from the analysis target; and a peak analysis unit configured to execute the peak analysis within the analysis range determined by the analysis range determination unit.

Provided are a peak analysis method and a peak analysis device with which it is possible to determine the number of peaks included in a spectrogram required for performing a peak separation process and the subject of the peak separation process from a plurality of pieces of data obtained by a detection device. The peak analysis method is a peak analysis method for analyzing peaks of a spectrum for a plurality of data obtained by a detection device. The peak analysis method comprises the following steps: setting a spectrogram vector of an analysis object and a spectrogram vector outside the object; dividing the spectrogram vector of the analysis object into components in the direction of the spectrogram vector of the object; and a step of transferring a predetermined proportion of a spectrogram vector between the outside-object spectrogram vector and the analysis object spectrogram vector on the basis of a comparison between the component in the direction of the analysis object spectrogram vector and the outside-object spectrogram vector.

According to examples, a fiber element offset length-based optical reflector peak analysis apparatus may include an optical element optically connected to a laser source that emits a laser beam. The optical element may include a pre-set offset length between a plurality of adjacent branches. The fiber element offset length-based optical reflector peak analysis apparatus may further include an optical time-domain reflectometer (OTDR) to generate, based on optical reflection signals received from corresponding optical reflectors attached to devices under test (DUTs) that are attached to the plurality of adjacent branches, an OTDR trace that qualifies each of the DUTs.

An analytical method and system for monitoring cellular status wherein excitation energy is focused into an excitation cytometry volume within a cell sample that is located within a bioreactor or fermenter to induce optical signals from intracellular compounds. The resulting optical signals are directed to a detection subsystem that has at least two detection channels. One channel detects the elastic (Rayleigh or Mie) scattering signal from the cell that identifies the presence of the cell within the excitation volume. Another channel detects the fluorescence and / or Raman scattering signal of intracellular compounds of the cells. The elastic scattering signals associated with individual cells are used as event-triggers to gate the detection of the intracellular fluorescence and / or Raman signal to eliminate the background noises from the suspension media. The intracellular fluorescence and / or Raman scattering signal are used to characterize cellular status based on the fluorescence intensities at specific fluorescence wavelengths and peak analysis of Raman scattering spectra.

Disclosed are a Parkinson's disease sample feature typing method, a feature typing system, and a sample classification model training method based on a local field potential. The typing method includes: calculating a power spectral density of a Beta-band signal of a local field potential of a sample to obtain an average power spectral density curve, and performing peak analysis on the average power spectral density curve to obtain a peak power spectral density; separately modeling a periodic element and an aperiodic element of an average power spectrum to extract a periodic power spectrum and an aperiodic component; calculating a phase-amplitude coupling feature of the Beta-band signal of the local field potential of the sample; and performing feature clustering analysis, and outputting sample typing results. In the disclosure, a multidimensional data model is constructed, and classification accuracy and reliability are improved.

The application discloses an extraterrestrial sample lead isotope determination method based on an ion probe jump peak method, belongs to the technical field of ion probe mass spectrum analysis and planetary sample isotope testing, and solves the problem that an existing determination method is not applicable to extraterrestrial samples and it is difficult to obtain accurate and reliable test data. The extraterrestrial sample lead isotope determination method adopts a single-receiver jump peak mode, combines a beam spot of different mineral scales, a scanning time and a cycle group optimization scheme, reduces the dependence on multi-receiver gain matching and a complex correction process, and reduces additional errors caused by receiver differences and small particle area changes. Through the secondary polishing and repeated screening steps for small particle size target minerals, the minerals with reduced cross-sectional areas are excluded, and false isotope ratio deviation caused by effective bombardment area changes in the jump peak analysis process is avoided. The application realizes the determination of the lead isotope of the extraterrestrial sample, and the test result is accurate and reliable.

The application discloses an extraterrestrial sample lead isotope determination method based on an ion probe jump peak method, belongs to the technical field of ion probe mass spectrum analysis and planetary sample isotope testing, and solves the problem that an existing determination method is not applicable to extraterrestrial samples and it is difficult to obtain accurate and reliable test data. The extraterrestrial sample lead isotope determination method adopts a single-receiver jump peak mode, combines a beam spot of different mineral scales, a scanning time and a cycle group optimization scheme, reduces the dependence on multi-receiver gain matching and a complex correction process, and reduces additional errors caused by receiver differences and small particle area changes. Through the secondary polishing and repeated screening steps for small particle size target minerals, the minerals with reduced cross-sectional areas are excluded, and false isotope ratio deviation caused by effective bombardment area changes in the jump peak analysis process is avoided. The application realizes the determination of the lead isotope of the extraterrestrial sample, and the test result is accurate and reliable.

The application discloses a shock-absorbing adhesive tape winding process intelligent defect detection method and relates to the technical field of visual inspection. The method adopts a defect detection system to work. The system comprises a supporting material pressing module, an infrared detection module, an information analysis module and an arrangement adjustment module. The supporting material pressing module is used for pressing flexible supporting material into the base material of the shock-absorbing adhesive tape. The infrared detection module adopts infrared spectrum propagation to meet polyurethane and polyethylene, generates an image for the characteristic absorption peak reflected back, the information analysis module is used for comprehensively analyzing the processed infrared spectrum image, the arrangement adjustment module is used for adjusting the arrangement density of the strip-shaped supporting material in the shock-absorbing adhesive tape in real time according to the characteristic absorption peak analysis result, and the material releasing unit is used for controlling the strip-shaped flexible supporting material to be put on the shock-absorbing adhesive tape. The application has the characteristics of real-time adjustment.

The application provides an AGV navigation texture feature extraction and identification method, comprising the following steps: analyzing the spatial distribution position of the extracted multiple matching peak values, counting the peak value number and the repeated interval between the peak values, and identifying the positioning fuzzy area caused by the texture cycle repetition; scanning the local non-periodic marker position according to the identified positioning fuzzy area, verifying the uniqueness based on the geometric shape features and color attributes of the marker, obtaining the unique anchor point coordinates and the marker type; extracting the texture repeated interval according to the unique anchor point coordinates combined with the ceramic tile texture data, analyzing the size of the texture repeated interval and the preset threshold, and determining the periodicity intensity value; dynamically adjusting the position screening range according to the periodicity intensity value, establishing the screening constraint condition, and applying the phase correlation method to obtain a preliminary positioning candidate point set.