81 results about "Three dimensional fluorescence" patented technology

The invention particularly relates to a water pollution intelligent traceability system based on a three-dimensional fluorescence spectrum, which relates to the technical field of environmental monitoring, and comprises a water sample collection and three-dimensional fluorescence data acquisition module, a data preprocessing and PARAFAC component decomposition module, a multi-source pollution characteristic fingerprint database module and an intelligent comparison and pollution source analysis module. According to the method, standard acquisition and preprocessing are adopted, and the original data quality is ensured by means of scattering rejection, instrument correction and the like; pure fluorescence components are decomposed through a PARAFAC algorithm, and feature extraction reliability is guaranteed through triple verification. In the comparison link, spectrum similarity, concentration proportion difference and space-time hydrological constraint multi-round screening are adopted, and irrelevant pollution sources are removed; and then the contribution proportion is quantified, and Monte Carlo simulation, water quality and specific pollutant cross validation are carried out, so that the crossing from suspected tracing to quantitative responsibility investigation is realized.

The invention relates to the field of environmental monitoring, and particularly discloses a non-negative matrix factorization and adaptive peak recognition fluorescence feature extraction and traceability system, which comprises a spectral data preprocessing module, a spectral data non-negative matrix factorization module, a component number automatic selection module, an adaptive peak recognition module, a feature library construction module and a similarity comparison module. An improved non-negative matrix factorization model is adopted to decompose the three-dimensional fluorescence spectrum matrix of a single sample, and an optimal component number K is automatically determined through multiplicative update rule iterative optimization; the self-adaptive peak identification module carries out selective filtering, accurately extracts the position and intensity of a fluorescence peak through multiple mechanisms, and carries out peak position calibration in a neighborhood; the Hungary algorithm is adopted to carry out characteristic peak matching to calculate the comprehensive similarity between the samples, and rapid and accurate identification of the pollution source is realized. The method has the advantages of high resolution, strong anti-interference capability, low requirement on the number of samples, automation and the like, and is suitable for water quality fingerprint feature extraction of a water sample in a complex environment and real-time source tracing of sewage.

The invention provides an underground water environment monitoring system and method, and the method comprises the steps: carrying out the three-dimensional fluorescence spectrum full-wave band scanning of a known type of pollution source reference sample in a target monitoring region, and obtaining a three-dimensional fluorescence spectrum data set; performing characteristic analysis on the three-dimensional fluorescence spectrum data set to obtain fluorescence characteristic components, and determining a characteristic excitation wavelength corresponding to each fluorescence characteristic component; the classification contribution degree of each characteristic excitation wavelength is evaluated, and a characteristic excitation wavelength combination during source tracing of the pollution source is obtained through screening; performing fixed wavelength scanning on the to-be-detected underground water sample in the target monitoring area according to the characteristic excitation wavelength combination, and determining the initial type of the pollution source; and determining the relative contribution degree of the type of the pollution source of the to-be-detected underground water sample, simulating the migration trend of the pollution plume according to the underground water migration and diffusion model, and generating the position of the pollution source of the to-be-detected underground water sample. By adopting the scheme of the application, the pollution source of the underground water can be quickly identified and positioned at low cost.

The invention belongs to the technical field of water pollutant identification, and particularly relates to a water pollutant distinguishing method and system based on multi-source spectrum fusion. According to the method, ultraviolet visible spectrum data and three-dimensional fluorescence spectrum data are effectively integrated in a multi-source spectrum data fusion mode, so that the characteristic information of water pollutants is captured, stably appearing characteristic absorption wavebands can be positioned by utilizing the ultraviolet visible spectrum data, and the water pollutants can be accurately detected. The method comprises the following steps: identifying a characteristic sub-region capable of representing the fluorescence response characteristic of a pollutant through three-dimensional fluorescence spectrum data, in a characteristic extraction stage, performing first-order derivative operation on an ultraviolet visible spectrum to position an absorption peak position, calculating curvature distribution of a three-dimensional fluorescence spectrum to identify the characteristic sub-region, and when a fusion characteristic is generated, performing first-order derivative operation on the three-dimensional fluorescence spectrum to identify the characteristic sub-region; according to the method, the key operation parameters are subjected to grid search optimization, and the optimal key operation parameter combination is screened out by performing multiple rounds of iterative training and evaluation on a preset training set and a verification set, so that the recognition performance of the real-time collected water sample is improved.

The invention relates to the technical field of fluorescence detection, in particular to a three-dimensional fluorescence detection correction method based on double light sources, and the correction method comprises the following steps: obtaining double light source optical parameters, sample cell geometric parameters and original fluorescence intensity data, the geometric parameters of the sample pool comprise the length, width, height, pool wall reflection coefficient and sample attenuation coefficient of the sample pool; and constructing a light intensity distribution model in a three-dimensional space of the sample cell based on the optical parameters of the double light sources and the geometric parameters of the sample cell. According to the invention, accurate characterization of the light intensity of any spatial point in the sample cell is realized, light intensity deviation caused by various factors is quantified from the source, personalized correction is carried out on each spatial point, the influence caused by optical path difference at different positions, light source fluctuation and element error is effectively offset, and the accuracy and accuracy of the detection result are improved. The consistency of detection values of standard substances with the same concentration in different areas of the sample pool is greatly improved, and the linearity of a standard curve is remarkably optimized.

The invention belongs to the technical field of fluorescence spectrum collection, and particularly relates to a quasi-three-dimensional fluorescence spectrum collection method and spectrograph based on a software phase locking technology, and the method comprises the following steps: respectively modulating coprime modulation frequencies of a plurality of laser light sources with different wavelengths, and synchronously exciting the laser light sources to the surface of a sample; a fluorescence signal generated on the surface of the sample is received and processed by a linear array CCD detector to obtain a multi-wavelength spectral signal simultaneously containing background light, scattered light and fluorescence components; inputting the multi-wavelength spectral signal into a software phase-locked amplification system, introducing a Costas ring to the software phase-locked amplification system for real-time tracking and correction, and generating a synchronous reference signal consistent with the laser modulation frequency; inputting the synchronous reference signal into a software lock-in amplifier, and extracting a plurality of pure fluorescence spectrum components excited by specific-frequency laser; and synthesizing the plurality of pure fluorescence spectrum components to finally form a quasi-three-dimensional fluorescence spectrum.

The application discloses a kind of municipal engineering technical field's multi-source data fusion's urban drainage pipe network evaluation method, for evaluating the drainage quality of drainage pipe network in target area, the method includes obtaining the water quantity data of each water treatment system in the first period of target area, water quality data, climate data, tidal data, water quantity corresponding permanent population data, pollution emission background value and low concentration external water three-dimensional fluorescence spectrum.The application is fused to multi-source data, and the water quality and quantity data of influent of sewage treatment plant or pump station are cleaned, the type of influent and seepage external water in sewage treatment plant is distinguished, the problem that current sewage treatment system quality improvement and efficiency evaluation method only focuses on external water quantity evaluation but external water type is not clear is solved, and then the improvement direction of drainage pipe network quality improvement and efficiency is clear, it is helpful to clear the priority of mixed error connection, damage and external water inflow problem in the quality improvement and efficiency range of drainage pipe network.

The invention relates to the technical field of leather wastewater treatment, and provides an ultraviolet-visible spectrum-based leather wastewater ozone dosage and COD (Chemical Oxygen Demand) prediction method. The method comprises the following steps: firstly, determining the types of organic matters in a tannery wastewater sample, and determining the distribution characteristics of the organic matters in different fluorescent regions through three-dimensional fluorescence spectrum analysis, so as to discriminate the types of organic pollutants; secondly, screening key wavelengths, and determining characteristic absorption wavelengths representing different organic matters through an ultraviolet-visible light spectrum; then carrying out an ozone oxidation experiment, and synchronously measuring a COD value and an ultraviolet absorption spectrum under different ozone addition amounts; based on experimental data, a multiple linear regression and exponential regression prediction model of ozone dosage and a COD prediction model based on partial least squares regression are established. According to the invention, accurate control of ozone dosage and real-time monitoring of COD are realized, the treatment efficiency is improved, the operation cost is reduced, the adaptability to water quality fluctuation is enhanced, and the method has a wide engineering application prospect.

The application discloses a kind of aquaculture tail water solubility organic matter characteristic analysis method and system, specifically related to water quality monitoring and analysis technical field, for solving the problem that existing solubility organic matter characterization method is difficult to effectively associate and predict its actual degradation behavior in biological treatment process.Synchronously obtain the three-dimensional fluorescence spectrum data of the water sample to be measured and the liquid chromatography-organic carbon detection combined analysis data, obtain the hydrophilic-hydrophobic component ratio and the proportion of tyrosine-like and humus-like fluorescence components from the analysis, and then judge whether there is significant humus-like component.According to the judgment result, selectively start the deep analysis of the molecular aggregation state of humus-like component, and comprehensively consider the related proportion parameters and aggregation state information, finally realize the evaluation of the biological degradation potential trend of solubility organic matter, and provide key basis for the stability warning of biological treatment system.

A deep learning-based method and system for statistical analysis of fluorescence proportion information in microfluidic droplet arrays, belonging to the field of ddPCR detection technology, includes the following steps: S1 acquiring a three-dimensional fluorescence volume image of the droplets and performing preprocessing; S2 constructing a DropletSegNet model; S3 pre-training the DropletSegNet model constructed in S2; S4 using the three-dimensional fluorescence volume image to be tested as input to the DropletSegNet model, and transforming the original output of the DropletSegNet model into droplet analysis results with physical meaning and biological interpretability. A droplet stacking topology decoupling module is designed, modeling the adhesion decoupling as an edge classification problem on a graph structure, and using a graph neural network (GCN) for structured post-processing. This achieves accurate decoupling and segmentation even in cases of tight droplet stacking or adhesion, improving the accuracy of nucleic acid concentration calculation and positive proportion statistics.

The present application belongs to the technical field of three-dimensional fluorescence spectrum analysis, chemometrics and machine learning, and discloses a traditional Chinese medicine harvest period identification method, system and electronic equipment fusing three-dimensional fluorescence and machine learning, aiming at the problems of long time consumption of traditional Chinese medicine harvest period identification methods, insufficient precision of existing spectrum analysis and weak model generalization ability, comprising: obtaining three-dimensional fluorescence spectrum data of the traditional Chinese medicine to be identified; after background and scattering subtraction, extracting fluorescence intensity through a weight self-adaptive alternating trilinear decomposition algorithm; substituting the fluorescence intensity into an improved prediction model to output a harvest period prediction value. The present application combines the fast and efficient advantages of three-dimensional fluorescence spectrum with the precise analytical ability of high-order matrix decomposition and machine learning, realizes fast, accurate and stable identification of the harvest period of traditional Chinese medicine through feature weighting screening, batch difference correction and harvest period interval penalty optimization, adapts to batch detection requirements, reduces detection cost and provides technical support for quality control of traditional Chinese medicine.

The invention discloses a method for simulating phosphorus and chromium migration during farmland irrigation with acid mine wastewater, which comprises the following steps: mixing a plant-derived organic material with deionized water to obtain a soluble organic matter; h2O2 oxidizes Fe < 2 + > to prepare pure Schwertmannite, and the pure Schwertmannite is placed in a phosphate solution to obtain phosphorus-loaded Schwertmannite; mixing the phosphorus-loaded Schwertmannite and the soluble organic matter with a chromate solution, carrying out oscillation adsorption, carrying out solid-liquid separation after adsorption, carrying out CrO and POconcentration change test on filtrate, and carrying out mineral characterization on separated solids; a three-dimensional fluorescence spectrum is adopted to track composition conversion of the soluble organic matter in the reaction process; and analyzing the component change of the supernate before and after the reaction by adopting Fourier transform ion cyclotron resonance mass spectrometry. The influence mechanism of DOM on phosphorus and chromium fate in mineral / water interface molecular fractionation is disclosed from the molecular level, and a scientific basis is provided for collaborative migration risk assessment of phosphorus and heavy metal in acid mine wastewater irrigation area farmland.

The invention relates to the technical field of optical imaging, and discloses a three-dimensional fluorescence imaging method and device based on a non-diffraction light beam, electronic equipment and a medium, the method comprises the following steps: collecting a first fluorescence projection image and a second fluorescence projection image of a preset sample, and extracting axial projection information of the sample according to the first fluorescence projection image; extracting transverse displacement offset information of the sample according to the second fluorescent projection image; performing signal pairing on the first fluorescent projection image and the second fluorescent projection image according to the axial projection information and the transverse displacement offset information to obtain a fluorescent signal set; and stacking the fluorescence signal set into a three-dimensional fluorescence image corresponding to the sample according to a preset stacking rule. By extracting the axial projection information and the transverse displacement offset information, image signal pairing is completed, signal redundancy and matching errors caused by traditional scanning are avoided, the signal screening efficiency is improved, and therefore rapid high-resolution three-dimensional imaging is achieved.

The application discloses a three-dimensional fluorescence portable water quality analyzer for pollution component determination and tracing, and relates to the technical field of water quality analysis.The analyzer comprises the following components: a sample collection and treatment module, which collects a water sample from a water body to be measured, removes impurities through filtration, and dilutes the water sample according to a self-adaptive dilution multiple algorithm; the three-dimensional fluorescence detection module is used to obtain fluorescence intensity information of the water sample under different excitation wavelengths and emission wavelengths, form rich three-dimensional fluorescence spectrum data, and introduce a real-time fluorescence lifetime imaging module; the fluorescence lifetime of fluorescent substances is measured; the principle that different fluorescent substances have different fluorescence lifetime characteristics is used; various pollution components in the water sample are further distinguished and identified; the pollution components can be accurately distinguished through the measurement and imaging of the fluorescence lifetime; the accuracy of the pollution component determination is greatly improved; and a reliable basis is provided for accurate management of water pollution.

The invention discloses a meta-learning-based three-dimensional fluorescence spectrum pollution tracing method and system, and the method comprises the following steps: S1, obtaining three-dimensional fluorescence spectrum data of a plurality of pollution source samples with known sources, and constructing a data set comprising a training set and a test set; s2, obtaining a feature extraction model capable of extracting high-level features of the three-dimensional fluorescence spectrum; s3, constructing a pollution traceability analysis model based on the feature extraction model; s4, performing internal circulation rapid adaptation on the pollution traceability analysis model; s5, carrying out loss calculation on the pollution traceability analysis model after internal circulation rapid adaptation; s6, performing performance evaluation on the trained pollution traceability analysis model; and S7, analyzing the three-dimensional fluorescence spectrum data of the unknown water sample, and quantitatively identifying the pollution source contribution ratio contained in the unknown water sample. The method can quickly adapt to pollution source identification tasks in different areas by using a small number of samples, and has strong generalization ability.

This invention relates to the field of water pollution source tracing technology, and discloses a multi-dimensional parameter coupling method, device, equipment, and storage medium for water pollution source tracing. The method provided by this invention obtains a first similarity using water quality information corresponding to each pollution source water body in the water body to be traced; a second similarity using characteristic pollutant content information corresponding to each pollution source water body in the water body to be traced; and a third similarity using three-dimensional fluorescence data corresponding to each pollution source water body in the water body to be traced. Finally, a comprehensive similarity assessment method is used to obtain the comprehensive similarity between the water body to be traced and each pollution source water body. This overcomes the shortcomings of related technologies that can only macroscopically judge the degree of pollution and cannot pinpoint specific pollution sources. Furthermore, by utilizing complementary optimization through multi-dimensional parameter coupling, it significantly improves the accuracy and reliability of water pollution source tracing, providing strong technical support for precise treatment and efficient management of water pollution.

The invention relates to an underground water nitrogen metabolism function prediction and regulation method based on a three-dimensional fluorescence spectrum and automatic machine learning. The method comprises the following steps: collecting underground water microbial gene sequencing serial numbers in literatures and fluorescence emission spectrum data of corresponding water samples; according to the obtained gene sequencing data serial number, downloading microbial gene sequencing data, and carrying out normalization processing on required emission spectrum data; selecting a functional gene reflecting underground water nitrogen metabolism capability and calculating relative abundance; and constructing a machine learning model of underground water nitrogen metabolism. The selected optimal model can accurately predict and understand underground water nitrogen metabolism, reveal the influence of DOM fluorescence properties on an underground water ecosystem, and can be used for predicting the underground water microorganism nitrogen metabolism function of an unknown area.

The invention discloses a tracing identification method for industrial wastewater in a municipal pipe network based on a three-dimensional fluorescence spectrum angle algorithm. The tracing identification method is characterized by comprising the following steps: collecting industrial area municipal pipe network confluence well water outside a factory, industrial wastewater raw water in the factory, treated industrial wastewater and a water sample of an enterprise inspection well; mixing the municipal pipe network confluence well water with the industrial wastewater raw water, the treated industrial wastewater and enterprise inspection well water in the factory according to a series of different proportions to obtain three-dimensional fluorescence spectrum data of water samples with different mixing proportions; reading the three-dimensional fluorescence spectrum data obtained after correction in the step 1 in a python environment, flattening the three-dimensional fluorescence spectrum data into a one-dimensional vector, and performing normalization processing on the one-dimensional vector to obtain one-dimensional vectors of each group of mixed water samples; the spectral difference and similarity between samples are compared and analyzed through a spectral angle algorithm, the characteristics of the industrial wastewater are quantitatively evaluated, qualitative recognition of the industrial wastewater in the municipal pipe network is achieved, and the method has the advantages of being efficient, accurate and convenient.

The invention discloses a soil petroleum hydrocarbon pollution natural attenuation evaluation method based on fluorescent components, which comprises the following steps: acquiring a three-dimensional fluorescence spectrum of soluble organic matters in petroleum hydrocarbon polluted soil to obtain fluorescence intensity of various fluorescent components; according to the difference between the fluorescence intensities of the multiple fluorescence components, whether the petroleum hydrocarbon in the polluted soil can attenuate naturally or not and the intensity of natural attenuation are evaluated; according to the method, the fluorescence spectrum technology with lower cost is adopted, and the fluorescence components of the soluble organic matters in the polluted soil are analyzed, so that the natural attenuation potential of the petroleum hydrocarbon pollution is judged, and the feasibility of the fluorescence method applied to the identification of the petroleum hydrocarbon pollution of the soil is verified; and a support can be provided for soil environment treatment of a petroleum hydrocarbon polluted site.

The present application relates to the field of electronic technology, disclose a sewer network pollutant tracing method, device, equipment, medium and program product, the method of the present application, by calculating the first water sample corresponding to the first three-dimensional fluorescence spectrum of the target node and the spectrum similarity between the second three-dimensional fluorescence spectrum corresponding to each upstream pipe network node, based on the spectrum similarity in a plurality of upstream pipe network nodes determine at least one target upstream pipe network node, according to the first water quality data of the target upstream pipe network node and the second water quality data on the sewage flow path between the target upstream pipe network node and the target node determine the pollution source information of the abnormal water in the target node, in the process of pollutant tracing, the high sensitivity, rapid detection and other advantages of three-dimensional fluorescence spectrum technology are used, the efficient and accurate tracing of pipe network pollutants is realized.

The application discloses a method for detecting chemical characteristics and particle size distribution of aerosol organic matters, and belongs to the field of environmental monitoring technology and data analysis, and specifically comprises the following steps: step one, collecting atmospheric particulates by using a particle size grading particulate matter collector, and obtaining three-dimensional fluorescence spectra of the particle size grading atmospheric particulates by using a fluorescence spectrophotometer; step two, performing PARAFAC analysis on the three-dimensional fluorescence spectrum data set, decomposing the three-dimensional fluorescence spectrum data set into a plurality of optimal components, and obtaining fluorescence intensity values of the components; step three, taking the fluorescence intensity values of the components as input data of SOM simulation, and simulating a unified distance matrix, sample mapping distribution, component plane and k-means clustering; and step four, according to the k-means clustering result of the SOM of the particle size grading atmospheric particulates, the samples are divided into a plurality of groups for decision tree analysis, and a prediction model of the aerosol particle size range and the deposition position of the human respiratory tract is established.

The invention discloses a culture tail water soluble organic matter characteristic analysis method and system, particularly relates to the technical field of water quality monitoring and analysis, and aims to solve the problem that an existing soluble organic matter characterization method is difficult to effectively associate and predict the actual degradation behavior of the soluble organic matter in the biological treatment process. Three-dimensional fluorescence spectrum data and liquid chromatography-organic carbon detection combined analysis data of a water sample to be detected are synchronously obtained, the proportion of hydrophilic and hydrophobic components and the proportion of tyrosine-like and humus-like fluorescence components are obtained through analysis, and then whether remarkable humus-like components exist or not is judged. According to a judgment result, deep analysis on the molecular aggregation state of the humus-like component is selectively started, and related proportion parameters and aggregation state information are integrated, so that evaluation on the biodegradation potential trend of the soluble organic matter is finally realized, and a key basis is provided for stability early warning of a biological treatment system.

The invention discloses a three-dimensional fluorescence analysis device for a river monitoring station. A first Y-shaped pipe is fixedly connected to a water inlet of a water quality three-dimensional fluorescence analysis equipment main body mounted in a river monitoring station, impurity removal boxes are fixedly connected and communicated with inlets and outlets in the two ends of the first Y-shaped pipe, and the same second Y-shaped pipe is fixedly connected and communicated with the ends, away from the inlets, of the two impurity removal boxes; the end, away from the two impurity removing boxes, of the second Y-shaped pipe is connected into an external river channel through a water pumping pipe, and the top openings of the two impurity removing boxes are movably sleeved with box covers. In the cleaning device, when a filter screen on a mounting framework in an impurity cleaning box needs to be lifted out and replaced, two stop blocks are manually operated to promote a rack to move leftwards on a guide seat, so that the rack can synchronously drive two first gears, and the first gears are promoted to respectively drive second gears; and the states of the two valve plates are quickly switched.

The application discloses a kind of step-by-step electrodialysis-Fenton-like synergistic treatment of salt-containing organic wastewater method, it is related to water pollution control field, wastewater is filtered by filter membrane, and humification index HIX is scanned and calculated by three-dimensional fluorescence spectrometer;According to the HIX index measured, using pre-catalytic electrodialysis unit, the Cl ‑ Concentration in wastewater is regulated, and pH value is adjusted simultaneously, to obtain product one;Fe 3+ Catalyst precursor is added in product one, Fe 2+ / HClO Fenton-like catalytic reaction is started, and deep desalination is carried out by post-catalytic electrodialysis unit, finally realizing the synergistic catalytic removal of salt and organic matter.The advantage of this method is: using HIX index as the basis for judgment, dynamically adjusting Cl ‑ Removal to achieve efficient and safe operation of Fenton-like process, both can realize the synergistic efficient removal of organic pollutants and salt, and can achieve the goal of "Cl ‑ First use and then remove", it is an ideal method for treatment of salt-containing organic wastewater.

A three-dimensional fluorescence spectrum layered centroid feature coding method based on a distance template comprises the following steps: firstly, describing a longitudinal trend and a transverse contour of a fluorescence peak by calculating layered centroid feature points so as to comprehensively capture spatial structure and morphological features of the fluorescence peak; then, performing joint coding on the feature points by using BRIEF coding and position coding to generate a binary feature matrix; wherein BRIEF coding effectively represents a self-similarity structure of a fluorescence peak, and the recognition precision of similar substances is improved; position coding provides global space information, and robustness of the algorithm in a complex water sample environment is enhanced. According to the method, the problem that a traditional method is large in computing resource consumption or incomplete in feature expression is solved, and a novel three-dimensional fluorescence spectrum feature extraction scheme which is light in weight, sensitive in structure and high in generalization ability is provided.

The invention discloses an offshore water oil concentration monitoring method based on three-dimensional fluorescence and liquid level compensation. The method comprises the following steps: S1, measuring the liquid level height, the fluorescence intensity and the fluorescence spectrum of a current to-be-measured water body to obtain the real-time liquid level height, the real-time fluorescence intensity and the mixed fluorescence spectrum; s2, acquiring a correction factor under the real-time liquid level height according to a pre-calibrated correction curve, and calculating to obtain corrected fluorescence intensity by combining the real-time fluorescence intensity; s3, comparing the fluorescence spectrum in the step S1 with standard oil type spectrum data to identify the type of the mixed oil type in the water body to be detected; and S4, selecting a corresponding quantitative analysis method according to the spectrum overlapping degree of different oil types in the fluorescence spectrum so as to determine the actual concentration of the mixed oil type. According to the invention, the influence of liquid level fluctuation on light intensity is dynamically offset, and the accuracy and reliability of concentration measurement are ensured; by utilizing a three-dimensional fluorescence spectrum and a linear superposition principle, identification and accurate quantification of mixed oil types are realized.

The present application relates to the field of optical imaging technology, and discloses a three-dimensional fluorescence imaging method and device based on non-diffracting light beams, electronic equipment and medium, the method comprising: collecting a first fluorescence projection image and a second fluorescence projection image of a preset sample, and extracting axial projection information of the sample according to the first fluorescence projection image; extracting lateral displacement offset information of the sample according to the second fluorescence projection image; signal pairing the first fluorescence projection image and the second fluorescence projection image according to the axial projection information and the lateral displacement offset information to obtain a fluorescence signal set; and stacking the fluorescence signal set into a three-dimensional fluorescence image corresponding to the sample according to a preset stacking rule. By extracting the axial projection information and the lateral displacement offset information, image signal pairing is completed, signal redundancy and matching errors caused by traditional scanning are avoided, signal screening efficiency is improved, and fast high-resolution three-dimensional imaging is realized.

The invention discloses an intelligent algae inhibition method based on algae growth prediction and multi-modal ultrasonic self-adaption, and belongs to the technical field of environmental protection and water treatment.The method comprises the following steps that a multi-wavelength LED light source in online monitoring equipment is used for exciting different algae in a water sample to emit fluorescence, a spectrograph is used for collecting three-dimensional fluorescence spectrum data generated by algae groups, and the three-dimensional fluorescence spectrum data is used for analyzing the three-dimensional fluorescence spectrum data; spectral data is collected and uploaded to a cloud end, and algae standard fluorescence spectral data of an algae database is substituted into an algae calculation model for algae identification; by sequencing the algae identified by the model, the category and concentration of the main algae are confirmed, the growth stage is judged, and preset ultrasonic execution parameters in an ultrasonic database are called; according to data in the weather and algae historical outbreak database, ultrasonic execution parameter execution conditions are adjusted in an auxiliary mode; the specific ultrasonic wave matrix executes the adjusted ultrasonic execution parameters and uploads operation records; and correcting the ultrasonic execution parameters and the execution conditions according to the historical alarm records and the operation records.

The invention relates to the technical field of water environment science, in particular to a lake wetland extreme hydrological situation quick response method and system.The method comprises the following steps that the light absorption spectrum and the three-dimensional fluorescence spectrum of colored soluble organic matter in a lake wetland are obtained, and optical characteristic parameters are obtained; obtaining an optical characteristic standardized data set as an input variable according to the optical characteristic parameters, and converting an extreme hydrological drought index and a flood index into binary processing variables as output variables; establishing a random forest model based on the input variables, and screening the optical characteristic parameters to obtain key optical parameters; and constructing a linear discriminant analysis model, obtaining the output variables corresponding to the key optical parameters, and realizing quick response to the extreme hydrological situation of the lake wetland. According to the invention, efficient and automatic identification of the lake wetland extreme hydrological events is realized, and technical support is provided for lake wetland management and disaster early warning.