648 results about "Spectroscopic detection" patented technology

The invention discloses a multispectral pollution analysis method and system for a photovoltaic cleaning unmanned aerial vehicle, and belongs to the technical field of spectrum detection.The multispectral pollution analysis method comprises the steps that a multispectral image is obtained, dark current-radiation-atmosphere-shadow full-link preprocessing is carried out, multiband weighted threshold segmentation and morphological post-processing are constructed, and a pollution area is extracted; establishing a self-learning pollution spectral feature library, and identifying pollution types by using cosine similarity; generating a pollution degree distribution diagram in combination with the pollution type-efficiency attenuation mapping table; and when the overall efficiency loss exceeds a preset value, planning a three-dimensional track based on a cluster priority score and an ant colony-genetic fusion algorithm, and returning an image to perform closed-loop verification and complementary cleaning after the unmanned aerial vehicle performs cleaning. According to the invention, the pollution identification precision, the efficiency evaluation accuracy and the cleaning intelligence level are significantly improved, and the method can be widely applied to unattended operation and maintenance of the photovoltaic power station.

The invention discloses a marine plankton hyperspectral imaging detection system, relates to the technical field of spectrum detection, and is used for solving the problem of poor spectrum classification and recognition in a water body environment. According to the method, the hyperspectral image and the environmental disturbance parameters are synchronously acquired, and the disturbance mapping sequence is constructed, so that accurate alignment between the image and disturbance is realized. A disturbance contribution weight matrix is constructed based on a dominant wave band, pixel-level spectrum stripping is carried out, a plankton purification spectrum is extracted, the spectrum purity and the recognition accuracy are improved, and a spectrum abnormal drift region is precisely recognized in combination with derivative spectrum change and image texture features; a coupling relation between the drift region and background disturbance is further established, a dynamic interference factor map is generated, and identification model parameters are dynamically adjusted, so that the identification stability and classification accuracy of the system in a complex interference environment are improved, and the method is suitable for multi-scene marine ecological monitoring.

The invention relates to the technical field of spectrum detection, in particular to a method for detecting the content of trace elements in quartz sand. The method comprises the following steps: acquiring spectral data of a quartz sand solution with gradient change of concentration; in each concentration spectrum, calculating an overlapping index according to the position and peak height difference of a spectrum peak and a previous spectrum peak, and screening abnormal spectrum peaks; analyzing the cross interference of the abnormal spectrum peak and the previous spectrum peak to obtain a distortion representation degree; obtaining the deviation influence degree according to the deviation of the abnormal spectrum peaks influenced by the silicon peaks among different concentrations, obtaining the concentration change interference degree according to the deviation amplitude variation trend of the distortion representation degree in the continuous concentration spectrum data in the ordered concentration, and correcting the spectrum data of the abnormal spectrum peaks to detect the content of the trace elements. According to the method, the spectrum data deviation of the quartz sand under the gradient concentration change is dynamically analyzed and quantified, so that the interference of the silicon element on the trace elements is eliminated, and the accuracy and reliability of the detection result of the content detection of the trace elements in the quartz sand are improved.

The invention provides an optical image and LIBS detection area registration method and device, a medium and a program product, and the method comprises the steps: collecting an optical image, three-dimensional shape data and spectrum detection data of a to-be-detected sample, and building a sample space coordinate system based on the optical image and the three-dimensional shape data, the spectrum detection data is collected from a preset spectrum detection area on the surface of the to-be-detected sample; establishing a mapping relation between optical image pixel coordinates and LIBS laser focus coordinates in the sample space coordinate system; extracting image features of the optical image and spectral features of the spectral detection data, and fusing and updating the mapping relation based on the image features and the spectral features to obtain a registration result of the optical image and the spectral detection area; and performing superposition display on the optical image and the spectrum detection result aligned based on the registration result in a visual interface. According to the method, the influence caused by mechanical positioning errors, manual calibration deviations and sample morphology differences is effectively reduced, and the registration precision and robustness are improved.

The invention provides a polarization modulation coupling time control phase locking high-temperature noise suppression in-situ Raman method and device, and relates to the technical field of spectrum detection. The method comprises the following steps: exciting pulse linear polarization laser to irradiate a sample to obtain Raman scattering light; a parallel vibration component (P) and a vertical vibration component (S) are obtained, and original spectral data containing polarization information and residual high-temperature noise are collected by adopting an ISCCD detector synchronously triggered by gating. Background noise is removed and a parallel vibration component (P) is extracted through polarization differential processing in combination with adaptive filtering (dynamically adjusting parameters according to signal distribution) and principal component analysis (PCA); and finally, performing signal-to-noise ratio optimization on the pure component by applying a phase locking algorithm to finally obtain a Raman spectrum result with a high signal-to-noise ratio. According to the invention, the in-situ Raman spectrum of the material within the temperature range of room temperature to 3000 DEG C can be measured, and the detection of weak signals is more sensitive.

The invention relates to the technical field of grading gangue selection of coal gangue, in particular to a grading gangue selection method of coal gangue, which comprises the following steps: acquiring mineral texture data through a multispectral imaging device, analyzing the spatial distribution of aluminum and silicon elements in combination with an X-ray diffractometer, and generating a three-dimensional component map through spatial registration and fusion with infrared heat value data; impurities are dynamically removed through sulfur element spectrum detection, and the air pressure and the material flow of winnowing equipment are adjusted by matching roasting process parameters; components of the sorted waste are analyzed through an X-ray fluorescence spectrometer, particle size data are obtained through a laser particle analyzer, a genetic algorithm is input to iteratively optimize detection channel combination and sampling density, a resource distribution instruction is generated, and equipment parameter correction is fed back. According to the method, aluminum-silicon ratio critical value accurate identification, sorting parameter dynamic adaptation and waste recycling path optimization are realized, and the problem of overburning caused by insufficient quantitative analysis of element distribution in the prior art is solved.

The invention relates to the technical field of spectrum detection, in particular to a Raman spectrum-based rice oil detection method, which comprises the following steps: extracting main and auxiliary peaks to construct a peak group structure, performing sliding comparison to output a conformity region, identifying jump to remove an abnormal signal, calibrating a peak position to generate a correction structure, and performing homing numbering to complete a detection scheme. According to the method, the feature matching rule is constructed by combining the peak position spacing, the intensity ratio and the wavenumber index, the recognition precision of the multi-peak structure in the spectrum is enhanced, non-continuous response signals are recognized and eliminated through derivative change trend and proportion deviation constraint, and the accuracy of stable response extraction is improved. Dynamic calibration and position adjustment of peak positions are realized by utilizing an offset trend sequence, the consistency of a peak group structure in an overall direction and the continuity of a local structure are ensured, a numbering system and structure attribution division is completed after homing sorting, and the integrity of feature expression in a complex sample and the orderliness and reliability of spectral data processing are improved.

The utility model relates to the technical field of detection equipment, and provides multi-spectral detection equipment for defects in industrial places, which comprises a three-axis cradle head bracket, the detector outer shell is rotationally connected with the three-axis holder bracket, and the position adjustment of the detector outer shell is controlled by the three-axis holder bracket; the visible light lens I, the visible light lens II, the infrared lens and the ultraviolet lens are mounted on the detector outer shell, and lenses of the four lenses are positioned on the same side surface of the detector outer shell; and the visible light lens I, the visible light lens II, the infrared lens and the ultraviolet lens are distributed in a crossed manner. According to the technical scheme, visible light pictures and infrared or ultraviolet pictures under the same field angle can be collected, the four lenses are distributed in a crossed mode, coordinate transformation of the pictures can be achieved conveniently, information result fusion of visible light detection and infrared or ultraviolet detection is achieved, and the detection accuracy is improved. And the detection accuracy and reliability of industrial place defects and the like can be improved.

The invention relates to the technical field of spectrum detection, and discloses a quality control method for traditional Chinese medicine capsules, which comprises the following steps: continuously scanning by using a micro light spot probe during capsule movement to obtain a spatial spectrum response sequence; performing adjacent micro-area differential operation on the sequence, and filtering a shell background and retaining a particle scattering signal by utilizing a microstructure difference between a capsule shell continuous film and a powder content discrete accumulation; according to the method, a traditional path of a shell standard model is established, through a spatial frequency domain decoupling mechanism, reference errors caused by batch drifting of shell physical attributes are avoided, and the detection sensitivity of trace component fluctuation and foreign matter mixing is improved.

The invention discloses a visible light hyperspectral measurement method based on multispectral sensing, and belongs to the technical field of spectrum detection. According to the method, visible light eight-channel data is collected through a multispectral sensor, after optical crosstalk correction and filtering preprocessing, key principal components are reserved through PCA dimension reduction, a multispectral and hyperspectral mapping model is constructed through an SVR algorithm, and finally the hyperspectral reflectivity is reconstructed through PCA inverse transformation. The problems that traditional hyperspectral equipment is high in cost and poor in portability are solved, low-cost and high-precision visible light hyperspectral measurement is achieved, and the device and the method can be widely applied to food freshness detection, agricultural product quality evaluation and other scenes.

The invention relates to the field of cavity ring-down, in particular to a cavity ring-down spectrum detection system and method, and the system comprises a detection unit, a gas path system, a constant temperature control unit and a control and processing unit. The gas path system can be used for filling inert protective gas into the ring-down cavity and maintaining a micro-positive pressure state in a non-measurement period of the detection system, so that external pollutants and water vapor are effectively prevented from invading, and lens pollution and internal adsorption are reduced; the constant-temperature control unit is used for carrying out overall temperature control on the ring-down cavity and the gas path system and inhibiting signal drift caused by water molecule adsorption / desorption; and the gas path system adopts a low-adsorption material, a dead-cavity-free structure and a low-leakage sealing joint, so that the memory effect and the leakage risk are further reduced. The invention also provides a corresponding detection method which comprises the steps of micro-positive pressure maintenance, constant temperature control, strong purification, sample measurement and the like. According to the system and the method, the measurement precision and the stability are remarkably improved, the maintenance frequency and the startup purging time are reduced, and the maintenance requirement is reduced.

The invention discloses a material quality detection system, method, medium and equipment, the material quality detection system comprises a feeding module, a conveying module, a spectrum detection module, a visual detection module, a sorting module and an information management module, the spectrum detection module is arranged at the downstream of the conveying module; comprising a camera obscura, a visible near-infrared spectrometer, a plurality of optical fiber probes, a plurality of first light sources, a plurality of second light sources, a laser distance measuring sensor and an adjustable rack, and the adjustable rack is arranged on the inner wall of the camera obscura and located above a conveying module. The information management module controls the adjustable rack to move so as to drive the multiple optical fiber probes, the multiple first light sources and the laser distance measuring sensor on the adjustable rack to move, and the multiple second light sources are arranged in the camera obscura and located below the conveying module. By arranging the spectrum detection module with the adjustable rack, optical signals of materials can be received from multiple angles, and multi-mode detection such as diffuse reflection, slow transmission and transmission is achieved.

The invention discloses a guided-mode resonance refractive index detection device and method based on a longitudinal gradient grating structure, and belongs to the technical field of optical sensing and imaging spectrum detection, the guided-mode resonance refractive index detection device comprises a light source, an optical isolator, a polarization controller, a collimation beam expander, a guided-mode resonance sensing chip, an image detector and a signal processing unit which are connected in sequence; the guided-mode resonance sensing chip is of a transmission type structure, the top of the guided-mode resonance sensing chip is provided with a strip-shaped nano structure which is consistent in period but longitudinally gradually changed, and an image detector is arranged below the guided-mode resonance sensing chip and used for receiving a transmission light signal penetrating through the guided-mode resonance sensing chip, generating a transmission light image and transmitting the transmission light image to the signal processing unit; and the signal processing unit is used for analyzing the transmitted light image and inverting the refractive index of the medium to be measured according to the structure mapping model. According to the invention, the longitudinal structure gradual change characteristic is introduced into the guided-mode resonance chip, so that the spatial distribution control of the monochromatic light resonance response position is realized, and finally the imaging refractive index sensing without an optical splitter is realized.

The invention discloses an intelligent developing active packaging film thickness uniformity detection method and system, and relates to the field of film thickness uniformity detection.The intelligent developing active packaging film thickness uniformity detection method comprises the steps that a terahertz time-domain spectrum detection device is arranged, and area scanning is conducted on a to-be-detected developing active packaging film; network edge nodes are set, and data acquisition, data preprocessing and film thickness uniformity judgment are processed step by step; based on a convolutional neural network algorithm, preliminarily confirming the film thickness of the developing active packaging film; environment data are collected, and the film thickness of the color developing active packaging film is corrected through an environment error compensation algorithm; analyzing the influence of different film thicknesses of the developing active packaging films on the data of the terahertz time-domain spectroscopy instrument, and performing feedback correction on the film thicknesses of the developing active packaging films; and carrying out uniformity evaluation on the to-be-detected developing active packaging film area. The method has the advantages that non-contact detection is adopted, the efficiency of detecting the film thickness uniformity of the developing active packaging film is effectively improved, and the error influence caused by the film thickness and the environment is avoided.

The invention provides Fourier transform spectrum equipment based on phase regulation and control and a spectrum detection method, and relates to the technical field of spectrum measurement. The Fourier transform spectrum equipment comprises a light source module used for providing detection light; the spectroscope is used for splitting the detection light into first scanning light and first reference light; the scanning module is used for introducing phase delay linearly related to the light frequency into the first scanning light to obtain second scanning light, and providing the second scanning light for the sample through the spectroscope; the reference module is used for reflecting the first reference light to obtain second reference light and providing the second reference light for the sample through the spectroscope; the photoelectric detector is used for receiving the second scanning light acted on the sample and the second reference light acted on the sample to obtain a first interference pattern; and the processing module is used for processing the first interference spectrum to obtain a spectrum detection result of the sample.

The invention relates to the technical field of blood concentration detection by optical means, in particular to a clinical blood concentration detection method. The method comprises the following steps: acquiring the delay responsivity of spectral data to drug concentration and the change complexity of other wavebands except a preset characteristic waveband; further obtaining the interfered change credibility of the drug concentration; according to the morphological characteristics of the spectrum curve corresponding to each drug concentration in the preset characteristic wave band and the distribution difference characteristics of the data points between the corresponding spectrum curve and the preset spectrum curve in the preset characteristic wave band, obtaining the spectrum shape distortion of the spectrum curve corresponding to each drug concentration in the preset characteristic wave band; obtaining the processing beneficial confidence of the spectral data; filtering the spectral data to obtain filtered spectral data; and detecting the blood concentration. According to the method, interference components in spectrum detection are removed, so that the quality of spectrum data and the detection precision of the blood concentration are improved.

The invention provides a quartz enhanced photoacoustic spectrometry detection system environment gas interference correction method which can be applied to the technical field of photoacoustic spectrometry gas detection. The method comprises the following steps: analyzing vibration-translation relaxation time and infrared absorption peak intensity of each gas to be detected; the to-be-detected gas with the vibration-translation relaxation time exceeding the time threshold value and the absorption peak intensity larger than the intensity threshold value is selected as comparison gas; dividing the laser of the comparison gas into a first laser beam and a second laser beam according to a preset proportion; using the first laser beam to excite a sound wave signal and detecting by a quartz tuning fork to generate a tuning fork electric signal; the second laser beam is enhanced and absorbed by a multi-reflection absorption cell and then is detected by a photoelectric detector to generate a light intensity electric signal; establishing a neural network model taking the tuning fork electric signal, the light intensity electric signal and the environment gas component vector as input and taking the to-be-detected gas concentration vector as output; and correcting the concentration of the to-be-detected gas under the interference of the environmental gas in real time through the trained neural network model.

The invention relates to the technical field of unmanned aerial vehicle inspection, and discloses an unmanned aerial vehicle photovoltaic inspection detection algorithm based on dual-light fusion, and the algorithm comprises the steps: obtaining image data; performing internal parameter calibration on the dual-light camera to obtain a camera internal parameter matrix and a distortion coefficient; calibrating image registration related parameters to obtain a homography matrix; establishing a dynamic offset compensation model, and calculating to obtain a pixel offset; obtaining a defect detection result based on a dual-light image defect detection module; based on the camera calibration parameters and the homography matrix, obtaining a registered detection frame coordinate; fusing the dual-light detection results based on an IoU matching algorithm to obtain a fused detection result; according to the method, the precision and reliability of photovoltaic defect detection are remarkably improved, various defect types can be comprehensively detected, and the technical problems that traditional single spectrum detection is large in limitation, the cross-modal registration failure rate is high, and dynamic error compensation is insufficient are effectively solved.

The invention discloses a transformer substation insulator pollution positioning method, device and system fusing a multispectral image and a laser radar point cloud, and belongs to the technical field of power equipment multispectral detection and intelligent operation and maintenance. The method comprises the steps that a multispectral imaging device and a laser radar device are arranged in a measurement area facing the outdoor insulator of the extra-high voltage transformer substation, and the laser radar device is controlled to collect three-dimensional point clouds of the insulator and a surrounding structure of the insulator, controlling the multispectral imaging device to acquire multispectral images of the outer insulation surface of the insulator under a plurality of working wavebands; performing spatial registration on the three-dimensional point cloud and the multispectral image based on a calibration plate and geometric constraints, and mapping multispectral spectral information to point cloud sampling points; by introducing a multispectral three-dimensional point cloud and a virtual cleaning operator and combining multi-view joint optimization under an umbrella skirt structure parameter model, the problem that pollution assessment is unstable and not fine due to a single-view image or a simple intensity threshold value in the prior art is solved; and a reliable quantitative basis is provided for substation insulator electrical risk assessment and intelligent operation and maintenance decision.

A spectrometer for detecting a trace element in an agricultural product and use thereof is provided. The spectrometer includes: a light source device configured to generate light required by spectroscopic detection; a convergence device configured to converge the light generated by the light source device; a chopping device configured to modulate a frequency of light converged by a convergence device; a filter device configured to shield light of a wavelength other than a preset wavelength; a detection device configured to receive light passing through a to-be-detected agricultural product and the filter device, and convert an optical signal into an electrical signal; and a processing device configured to generate spectroscopic analysis data according to the electrical signal outputted by the detection device and output a substance content analysis result according to the spectroscopic analysis data, where the preset wavelength of the filter device ranges from 400 nm to 5,000 nm.

One mode of a chromatograph mass spectrometer according to the present invention includes: a measurement unit (1) that includes a chromatograph unit (1A) and a mass spectrometry unit (1B) capable of performing MS / MS analysis, and collects chromatograph mass spectrometry data having three dimensions of time, m / z, and a signal intensity by repeatedly performing the MS / MS analysis by data independent analysis in the mass spectrometry unit on a sample containing a compound separated by the chromatograph unit; a component detection unit (42) that detects a compound and a component corresponding to a partial structure of the compound by obtaining MS / MS spectra of a bar graph presentation based on chromatograph mass spectrometry data over a predetermined m / z range for a target sample, estimating precursor ion peaks in each of the MS / MS spectra, and selecting peaks based on a predetermined standard regarding an m / z direction in each of the MS / MS spectra and a predetermined standard regarding a time direction for peaks that can be considered to be identical or an identical group on the MS / MS spectra; a narrowing unit (43, 44) that narrows down components to be analyzed by performing screening using prior information on the detected component; and a composition estimation unit (45) that, by using m / z information corresponding to a narrowed down component, estimate a composition or a chemical formula of the component.

The invention relates to the technical field of microfluidics, in particular to a microfluidic isothermal amplification method and system based on multichannel spectrum detection, and the method comprises the following steps: adding a sample and a reaction premixed solution into a microfluidic chip to form a reaction liquid; at least two fluorescent probes are added into the reaction premixed solution; carrying out isothermal amplification reaction on the reaction liquid, and collecting spectrum time sequence data in the reaction process; and performing spectral deconvolution on the spectral time sequence data to respectively obtain an independent amplification curve corresponding to each fluorescent probe, and performing quantitative analysis. Aiming at the problem that a reaction amplification quantitative system in the prior art depends on a high-precision quantitative PCR instrument and an optical assembly and is relatively high in cost, a spectral deconvolution mode is introduced to separate independent amplification curves of all fluorescent probes on a calculation level, so that an expensive PCR instrument is omitted, and the cost is reduced. And the requirements on color filtering and detection precision of the optical assembly are reduced, and the method can be applied to detection scenes with relatively wide wave bands.

The invention discloses a real-time quantitative calibration spectrum on-line detection device and a use method thereof, a standard substance with a known concentration is accurately injected into a mixer and is mixed with a reaction liquid on line, and then a spectrum detector obtains spectrum absorption data of the mixed liquid; on the basis of the spectral absorption intensity linear superposition relation between the standard substance and the reaction liquid and the metering relation between the target product and the injected target product, online correction is carried out, and finally the concentration value of the target product is obtained. The online standard sample injection and dynamic online calibration technology is introduced, so that the problems of low quantitative precision, manual sampling lagging and the like in chemical reaction monitoring are solved, and the online standard sample injection and dynamic online calibration technology is particularly suitable for the fields of photochemical synthesis, continuous pharmacy and the like with strict process analysis timeliness requirements.

The invention relates to the technical field of industrial cleaning, and discloses a surface residue cleaning system in an anode carbon block conveying process, which comprises a residue detection module, a cleaning execution module, an intelligent control module, an effect verification module, a safety protection module, a data management module, a self-calibration module, an energy consumption optimization module and a man-machine interaction module. Capturing residue distribution on the surface of the carbon block in real time through a multispectral scanning unit, and outputting a cleaning signal through a residue recognition algorithm; the mechanical cleaning unit and the airflow cleaning unit cooperatively execute precise slag removal; the intelligent control module adaptively adjusts cleaning parameters based on the speed of the conveying line; the surface sampling unit verifies the cleanliness through spectrum detection; the dust monitoring unit performs linkage safety protection when PM10 exceeds 8mg / m; and the data management module integrates the running log and remote report generation. Accuracy and reliability of residue identification are guaranteed, cleaning efficiency is improved, the risk that the surface of the carbon block is scratched is reduced, and production quality and operation safety are comprehensively improved.

The invention relates to the technical field of water quality monitoring, and discloses a DOC spectrum monitoring method and device. Comprising the following steps: pre-treating a water sample through a filtering device to eliminate the interference of turbidity on spectrum detection; conveying the pretreated water sample into a detachable flow cell, and collecting an ultraviolet spectrum of the water sample through an independently arranged light source spectrometer; determining a target characteristic wavelength subset from the ultraviolet spectrum; inputting the target characteristic wavelength subset into a pre-trained integrated meta-model to obtain a predicted value of the DOC concentration in the water sample; wherein the integrated meta-model is constructed by adopting a Stacking strategy and comprises a plurality of base models and a meta-model, and the meta-model is used for learning prediction results of the base models and performing fusion output; according to the monitoring system state or the preset maintenance period, before the flow cell is disassembled and maintained, the backwashing unit is triggered to execute the pre-cleaning operation, and the technical scheme is provided which gives consideration to the installation convenience, the monitoring accuracy and the operation stability.

The invention relates to a fire area inversion method based on airborne dual-spectrum detection and depth estimation, and belongs to the field of unmanned aerial vehicle detection. The method comprises the following steps: acquiring a multi-dimensional data set of a dual-spectrum image, a temperature image, an unmanned aerial vehicle attitude and the like; constructing a multi-modal space collaborative perception segmentation network, combining temperature change characteristics with temperature space distribution characteristics of flames to generate temperature region distribution characteristics, and coupling absolute temperature and pixel information to enhance flame weak edge extraction; designing a temperature-guided space structure loss function TSSLoss, and combining gradient change consistency constraint and temperature weight constraint on a segmentation loss function for network training; and according to the unmanned aerial vehicle pose, the target depth and the fire area segmentation pixel area, an early fire area is derived in combination with an airspace transmission inversion formula, and an actual fire area is calculated. According to the method, multi-source information is effectively combined for physical constraint, and more accurate fire detection segmentation and fire area calculation can be realized.

The invention discloses an automobile part defect detection method based on multispectrum, and relates to the technical field of spectrum detection. According to the method, an optimal wave band is screened from a data source through spectral response discrimination, and the spectral texture difference between scratches and normal textures is enhanced; normal texture and suspected scratch areas are accurately divided through density clustering, a target area is focused, irrelevant data interference is reduced, and it is ensured that double-feature extraction is higher in pertinence. Further synchronously extracting texture gray level change features and 3D surface height depression features of the suspected area, and capturing dual attributes of two-dimensional texture anomaly and three-dimensional physical form depression of the scratch; and finally, through deviation calculation and relevance verification with a normal region reference feature, the abnormal degree of the double features is quantified, two types of abnormalities are ensured to correspond to the same physical region through spatial relevance, pseudo defects are eliminated, and the problem that scratches are difficult to identify based on texture gray level change and surface height depression in the prior art is solved.

The present invention relates to the field of spectral detection technology, and more specifically to an intelligent blood smear quality detection method for a laboratory. The method comprises: obtaining overall spectral data of a blood smear and spectral signals of various detection positions in different regions of the blood smear; determining the baseline drift fluctuation segment and normal fluctuation segment of the spectral signal at each detection position; performing a primary correction on the spectral signal at the detection position and the overall spectral data to obtain a corrected spectral signal and first corrected overall spectral data; performing a secondary correction on the first corrected overall spectral data using the peak values of the baseline drift fluctuation segments immediately before and after the current baseline drift fluctuation segment and the peak value of the current baseline drift fluctuation segment in the corrected spectral signals at each detection position to obtain final second corrected overall spectral data; and detecting the quality of the blood smear using the second corrected overall spectral data. Thus, the present invention improves the detection accuracy and reliability of blood smear quality detection.