1614 results about "Water sample" 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 discloses a method for evaluating enhancement and release seedling resources based on environmental DNA polymerization analysis. The method comprises the following steps: carrying out gridding partition on a target water area, collecting a water sample through a designed sampling scheme, and carrying out DNA extraction and high-throughput sequencing to obtain species sequence information of each sampling point. Sequencing data is subjected to species identification by using a bioinformatics method, released species are identified, a spatial abundance model is established, and a preliminary distribution map is generated. And establishing a DNA degradation kinetic model in combination with water area environmental parameters, and carrying out reverse correction on abundance distribution. And through a resource inversion model coupled with hydrodynamics, analyzing biomass distribution characteristics and migration laws of the release group, and obtaining a resource evaluation result. And finally, a species environment preference model is constructed based on migration path analysis, an optimal release area is matched in a target water area, a scientific scheme including release point locations, opportunities and quantity is generated, and a whole-process technical support and a decision basis are provided for enhancement and release.

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 relates to the technical field of industrial wastewater sampling and discloses an industrial wastewater sampling system.The industrial wastewater sampling system comprises a frame, a connecting frame, a hydraulic cylinder and a rectangular plate, the connecting frame is located in the frame and slidably arranged in parallel, and the bottom of the hydraulic cylinder and the right side of the interior of the connecting frame are fixedly mounted; the upper surface of the rectangular plate and one end of an output shaft of a hydraulic cylinder are fixedly mounted, and a trigger sampling mechanism is arranged in the rectangular plate. According to the industrial wastewater sampling system, when a trigger rod is in contact with the bottom of a canal, a connecting spring and a telescopic rod in a power rebound mechanism are compressed, a third rack is driven to move upwards, a valve switch control mechanism is linked, a first butterfly valve and a second butterfly valve are synchronously closed, and a sampling barrel is sealed; it is ensured that the water sample is captured at the moment when the sampler is stabilized at the target depth and bottom mud is not stirred, and therefore index distortion of suspended solids and adsorptive heavy metal is effectively avoided, and the authenticity of the sample and the accuracy of detection data are improved.

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 water and soil conservation and ecological restoration, in particular to an ecological slope water and soil loss monitoring and restoring system and method.The system comprises a monitoring and restoring node, a monitoring and restoring node and a monitoring and restoring node, the monitoring and restoring node is internally provided with a double-micropore channel for measuring the conductivity of a water sample in a layered mode, and a pore water pressure sensor and a pressure release valve are used for conducting pore pressure monitoring and micro pressure release; a double-verification logic module is built in, two-stage necessity verification and two-stage effectiveness evaluation are achieved, and then the instability risk is accurately judged and self-adaptive repair is achieved. The ecological slope water and soil loss monitoring and repairing system and method solve or at least relieve the problems that an existing system is difficult to distinguish transient disturbance and real instability precursor and lacks intervention effect evaluation and self-adaptive optimization, the instability precursor and disturbance can be accurately distinguished, intervention can be effectively evaluated, self-adaptive optimization is achieved, and the ecological slope water and soil loss monitoring and repairing system and method are provided. And the intelligence, intervention credibility and long-term reliability of the system are improved.

The invention relates to the technical field of environmental monitoring and water ecological safety, in particular to a eukaryotic algae outbreak early warning method and system based on genus-level specific recognition. The method comprises the following steps: collecting a water body sample at a monitoring position according to a preset sampling plan, collecting an environment measurement value, and respectively obtaining environment parameter data, a water sample sampling identifier and a sampling timestamp; extracting nucleic acid from the water sample at the monitoring position based on the water sample sampling identifier, performing targeted amplification, and performing high-throughput sequencing at the same time to obtain eDNA original sequencing data; therefore, by constructing the eukaryotic algae outbreak early warning process based on genus-level specific recognition, the problems that in a traditional method, sampling disturbance is uncontrollable, sequence judgment precision is insufficient, trend recognition is lagged, and an early warning link is not transparent are solved, and the accuracy, stability and traceability of early judgment of algae outbreak are improved.

The invention discloses an ultratrace mercury isotope analysis method, and relates to the technical field of environmental analysis. The method comprises the following steps: purging a liquid sample to be detected by nitrogen in a stannous chloride atmosphere, and trapping and concentrating mercury into a gold trapping tube; pyrolyzing the pyrolytic gold trapping tube to release mercury vapor; pyrolytic mercury vapor and thallium isotope internal standard aerosol are mixed to serve as a sample injection sample, and the sample injection sample is introduced into a multi-receiver inductively coupled plasma mass spectrometry; acquiring a mercury instantaneous signal and a thallium isotope signal; and calculating the mercury isotope ratio by adopting least square linear regression fitting in combination with a thallium internal standard ratio correction algorithm. According to the method, the instantaneous mercury isotope signal is generated by online combination of gold trapping and multi-receiver inductively coupled plasma mass spectrometry, the instantaneous signal is strategically collected and processed, the determination concentration of isotope analysis can be greatly reduced, the sensitivity of the method is remarkably improved, and direct determination of mercury isotope composition in a water sample with the concentration of 10 ng L <-1 > is met.

The invention provides a water quality monitoring method and system based on dynamic correction and multi-source calibration and a medium, and relates to the technical field of water quality monitoring, the method comprises the following steps: water quality parameter measurement values of at least two different types of water samples are sequentially obtained, the water sample types comprise a water sample to be measured and a calibration reference water sample generated by the monitoring system; performing stability judgment on the obtained measurement value of each water sample type to obtain a stable measurement value of each water sample type; determining a system calibration amount based on the stable measurement value of the calibration benchmark water sample and a preset benchmark reference value; and correcting the stable measurement values of other water sample types by using the system calibration quantity to obtain the final monitoring value of each water sample type. According to the method, online, dynamic and self-driven calibration is realized, a closed-loop quantity value traceability system taking the system as a reference is constructed, the measurement robustness and efficiency under complex working conditions are improved, and a foundation for intelligent diagnosis and system management is laid.

The invention relates to the technical field of analysis and detection, in particular to a method for simulating and detecting micro / nano plastic released by food contact plastic products. The method provided by the invention aims at the blank of the existing food-source micro-plastic detection system, simulative component liquid is collected by simulating the contact between food components and food plastic products, micro-nano plastics are separated through a 1m filter membrane, and micro-sized plastics on the filter membrane are qualitatively and quantitatively detected by adopting a microscopic infrared spectrum and a scanning electron microscope. The water sample under the filter membrane is subjected to qualitative and quantitative treatment on the nano-plastic by a thermal cracking-gas chromatography-mass spectrometry combined technology and a nano-particle tracking analyzer, so that programmed comprehensive detection is realized. According to the method, the amount and what kind of micro-nano plastic can be released by the plastic product in a real use chain are more clearly revealed, support is provided for a market supervision system, health and life safety of the masses are guaranteed, and the method has a good application prospect.

The invention relates to the technical field of micromolecule mineral water monitoring, and discloses a micromolecule mineral water quality monitoring system based on an intelligent sensor. The system comprises a multi-channel spectrum sensor array, an ion selective field effect transistor group, a microfluidic preprocessing module, a dynamic compensation database, a self-adaptive analysis engine, a cloud verification interface and a feedback execution mechanism. The micro-fluidic pretreatment module is used for eliminating bubbles of an original water sample, screening particles and outputting stable liquid flow; the spectrum sensor array captures full-band absorption spectrum data to generate a characteristic matrix, and the transistor group detects concentration fluctuation of calcium ions, magnesium ions and silicate; the adaptive analysis engine performs multi-modal fusion and abnormal marking on the time sequence alignment data stream; the cloud interface performs cross validation on the local result and the regional water quality center reference library to generate a credibility report; and the feedback execution mechanism adjusts the microfluidic flow velocity and the sensor integration time according to a report to realize efficient water quality monitoring.

The utility model discloses a multi-stage treatment system for high-salinity wastewater, which comprises a water sample detection and analysis system for sampling and analyzing the high-salinity wastewater in at least three batches to obtain the pH value, COD (Chemical Oxygen Demand), TDS (Total Dissolved Solids), hardness and the numerical value range of each pollutant content of the wastewater; the ozonization system is used for fully contacting the detected and analyzed high-salinity wastewater with ozone to obtain ozonized effluent; the pretreatment system is used for settling and filtering the ozonized effluent to obtain pretreated effluent and a pretreated concentrated solution; the electrolytic hydrogen production system is used for carrying out in-situ electrolysis on the pretreated effluent to obtain hydrogen, oxygen and a wastewater concentrated solution; the membrane distillation system is used for carrying out membrane distillation treatment on the wastewater concentrated solution to obtain pure water and a membrane distillation concentrated solution; the evaporation system is used for carrying out evaporation treatment on the pretreatment concentrated solution and the membrane distillation concentrated solution to obtain solid waste. According to the utility model, the wastewater utilization rate is greater than 80%, the hydrogen purity is greater than 99.9%, and the TDS of membrane distillation pure water is less than 50mg / L.

The invention provides a construction method of a bacterial pathogen detection model based on nanopore adaptive sampling and deep learning, and a method, equipment, a medium and a program product for detecting bacterial pathogens by applying the model, and relates to the technical field of nanopore sequencing. The bacterial pathogen detection method comprises the following steps: obtaining a water sample to be detected; and inputting a to-be-detected water sample into the detection model constructed in the invention to obtain a detection result of the to-be-detected water sample. The sensitivity and the accuracy of pathogen detection are obviously improved, and the improvement on prevention and control of water-borne diseases is facilitated.

The utility model provides a sampler for water bodies with different depths. A plurality of sampling barrels are connected to a barrel body in a sliding manner, openings are formed in the sampling barrels, pistons capable of blocking the openings are arranged in the sampling barrels in a sliding manner, the pistons slide to extract water samples, a spline shaft is connected to the barrel body in a rotating manner, and the spline shaft can drive the pistons to move at the same time. And the locking bolt is used for locking the relative sliding of the sampling barrel and the barrel body. The device is convenient to operate, the length of the sampling device can be adjusted according to the depth of a sampled water body, the height of the sampling barrel can also be adjusted, water bodies with different depths can be conveniently sampled at the same time, and the sampling efficiency is improved.

The invention discloses a river-into-sea pollution source segmented detection device, and belongs to the technical field of water pollution detection, the river-into-sea pollution source segmented detection device comprises a clear water tank fixedly mounted on a ship body, a mounting rack is fixedly mounted on one side of the clear water tank, and a hoisting mechanism, a water sample extraction mechanism, a water sample detection mechanism and a pipeline air drying mechanism are fixedly mounted on the top of the mounting rack. According to the invention, through cooperative use of the pipeline flushing mechanism and the cleaning member, water samples remaining in pipelines of the water sample detection mechanism and the water sample extraction mechanism can be flushed and cleaned; clear water left in the cleaned pipeline of the water sample detection mechanism and the water sample extraction mechanism can be subjected to hot air drying, so that the condition that a water body in a target detection area is mixed with a water body in a non-target detection area when the pollution conditions of different water areas are subjected to multi-point segmented detection is avoided; and the accuracy of a water pollution source detection result is improved.

The invention discloses a seawater chemical oxygen demand determination method based on bias voltage photoelectric oxidation, and relates to the technical field of water quality monitoring. The method comprises the following steps: collecting seawater and performing pretreatment to obtain a seawater sample; adding supporting electrolyte into the seawater sample to obtain an electrolytic water sample; the method comprises the following steps: injecting an electrolysis water sample into a photoelectrochemical reaction tank, applying bias voltage to a working electrode by taking Ag / AgCl as a reference electrode, and turning on a light source with a specific wavelength for irradiation; carrying out an oxidation reaction in the photoelectrochemical reaction tank, and after the oxidation reaction of the organic matter is complete, obtaining a steady-state photocurrent with a stable current signal; according to a preset steady-state light current-COD concentration curve, a COD measured value is obtained, the COD standard concentration value is corrected according to the water temperature and the salinity, and a COD corrected value is obtained. An adjustable tiny external bias voltage is introduced to cooperate with light source irradiation, so that rapid, accurate and high-anti-interference measurement of COD in seawater is realized.

The invention relates to the technical field of environmental monitoring, in particular to a method for determining two organophosphate compounds in water. The two organic phosphate ester compounds are tri-(2, 3-dibromopropyl)-phosphate ester and xylenol phosphate ester; the method comprises the following steps: 1, putting a water sample to be detected into a centrifugal tube, adding sodium chloride, uniformly mixing, adding acetonitrile as an extracting agent, uniformly mixing by vortex, standing for layering, and filtering supernatant liquid by a needle filter to obtain liquid to be detected; 2, mixing the prepared tri-(2, 3-dibromopropyl)-phosphate standard intermediate solution with the prepared xylenol phosphate standard intermediate solution, and diluting with acetone to obtain a standard working solution; the to-be-detected liquid obtained in the first step is placed in a liquid chromatography-triple quadrupole mass spectrometry combined system to be analyzed; the method provided by the invention can realize simultaneous determination of tri-(2, 3-dibromopropyl)-phosphate and xylenol phosphate, and fills the blank of combined detection of two specific organophosphate compounds in the prior art.

The invention relates to the field of rainfall pollution detection, in particular to an automatic rainfall sampling method and device for a high-density built-up area. Geographic information parameters and rainfall dynamic parameters of the high-density built-up area are collected; performing format unification, space-time alignment and normalization processing on the obtained multi-source data, and constructing a standardized multi-dimensional feature data set; inputting the standardized multi-dimensional feature data set into a pollution risk prediction model, and dynamically calculating and outputting a pollution risk level of a rainfall event and a time window of a key pollution stage; generating a composite dynamic sampling strategy based on the pollution risk level and the time window; the method comprises the following steps: collecting and storing a water sample according to a composite dynamic sampling strategy, and carrying out preliminary analysis on the collected water sample by using an integrated water quality sensor to generate actually measured concentration data; and carrying out weighted compensation on the generated actually measured concentration data by utilizing geographic information parameters of the high-density built-up area, and calculating the equivalent pollution concentration representing the comprehensive pollution level of the high-density built-up area.

The invention discloses a high-turbidity measuring method, a high-turbidity measuring instrument, a medium and a program product, and relates to the field of testing or analyzing materials by means of measuring chemical or physical properties of the materials.In the method, the filtering transmission light intensity and the filtering scattered light intensity of a red light wave band and the filtering transmission light intensity and the filtering scattered light intensity of a white light wave band are collected; respectively determining a first group of weighting coefficients corresponding to the first turbidity range and a second group of weighting coefficients corresponding to the second turbidity range based on the corresponding relationship between the light intensity ratio and the turbidity value of the standard turbidity sample; calculating an initial turbidity value of the to-be-detected water sample based on the first group of weighting coefficients; judging whether the initial turbidity value is greater than a preset range threshold value or not; if yes, calculating a final turbidity value of the to-be-detected water sample based on a second group of weighting coefficients; if not, taking the initial turbidity value as the final turbidity value of the water sample to be detected; the final turbidity value of the water sample to be detected is displayed in the display screen. The method is used for improving the accuracy of testing the high-turbidity water sample.

The invention relates to the technical field of environmental analytical chemistry, and discloses a thymol phenolphthalein-TBPE double indicator-based cyanide titration detection method and system, and the method comprises the following steps: adjusting a water sample to be detected to an alkaline pH interval to construct a detection matrix; the method comprises the following steps: introducing a double-indicator system composed of thymol phenolphthalein and tetrabromo phenolphthalein ethyl ester according to a specific ratio into a detection matrix, and constructing a spectrum background for masking yellow interference of sulfide by utilizing the blue color development characteristic of thymol phenolphthalein; dropwise adding a silver nitrate standard solution into the mixed system to execute a complex reaction; according to the method, a spectrum background shielding field is constructed, chromaticity response of a system in a specific wave band is monitored in real time, and when a chromaticity mutation signal from green to bluish violet is captured, a titration end point is judged, and the cyanide concentration is calculated. High-precision anti-interference detection on cyanide in a complex high-turbidity matrix is realized, and the sensitivity and accuracy of end point recognition are improved.

The invention provides an urban rainwater pipe network mixed connection tracing method based on a pollution source fluorescence spectrum library in combination with machine learning. The method relates to the fields of numerous pollution sources around a pipe network, complex mixing and connecting conditions and the like. The method comprises the following steps: sampling through an inspection well to obtain a water sample; extracting an organic matter multi-dimensional characteristic matrix from the water sample by adopting technologies such as three-dimensional fluorescence spectroscopy (EEM) and the like; and carrying out fluorescence data analysis on the multi-dimensional characteristic matrix by using an NPLSDA (N-Way Partial Least Squares Discriminant Analysis) model, carrying out comparative analysis and identification, and determining the source of the pollution source. According to the technology, the specific source of mixed connection sewage of the rainwater pipe network can be quickly diagnosed through mixed connection rainwater well sampling analysis, and efficient and convenient decision support is provided for mixed connection transformation and traceability investigation of the urban rainwater pipe network.

The utility model relates to the technical field of water treatment and discloses a water treatment online sampling device which comprises a rack, a sampling pump is fixedly mounted on the inner wall of the bottom of the rack, a sampling pipe is mounted at the water pumping end of the sampling pump, a connecting flange is fixedly connected to the end, away from the sampling pump, of the sampling pipe, and a filter is arranged at the end, close to the connecting flange, of the sampling pipe. The controller is connected with the sampling pump, the water conveying end of the sampling pump is provided with a conveying pipe, the conveying pipe is provided with a flow adjusting assembly, and the flow adjusting assembly comprises a flow adjusting valve and a flow sensor. According to the invention, the accuracy and stability of sampling each time can be ensured, strict control on the water sample amount and flow velocity under different detection requirements is met, the sampling quality is improved, and the real-time water quality condition in the water treatment process is better reflected.

The invention relates to the technical field of industrial process automatic control, and discloses an automatic control method for a water sample analysis process, which comprises the following steps: establishing a unit step response reference model for representing a normalized standard track of a controlled object; iteratively searching an optimal amplitude scaling and time elastic factor in the two-parameter search space to minimize the fitting residual error of the reference model and the real-time data; the optimal amplitude scaling factor is utilized to determine a projection steady-state value to drive an execution unit, and the sampling interval is adaptively adjusted according to the optimal time elastic factor, the time elastic factor is introduced to realize closed-loop compensation of system kinetic parameter drift, a steady-state target can be accurately locked in an unbalanced state, and the stability of the system is improved. And the problem of control model mismatch caused by device aging or environment fluctuation is solved.

The invention discloses a primer and a method for quantitatively monitoring the biomass of sargassum hemiphyllum based on an environmental DNA technology, and belongs to the technical field of molecular ecology. The primer probe group comprises an upstream primer, a downstream primer and a fluorescent probe which are specifically targeted to the sargassum hemiphyllum mitochondria COX1 gene, and the sequence is shown as SEQ ID NO.1-3. The kit comprises the primer probe group, a qPCR (quantitative polymerase chain reaction) premixed solution, nuclease-free water and a sargassum hemiphyllum plasmid positive control. The method comprises the following steps: collecting a water sample, enriching eDNA, performing qPCR detection by using the primer probe group after extraction and purification, and realizing qualitative detection and quantitative evaluation of sargassum hemiphyllum through a Cq value or a standard curve. The method disclosed by the invention has the advantages of high sensitivity, strong specificity, no damage to the environment and target organisms, capability of realizing large-scale rapid general survey and the like, and is suitable for early warning of gulfweed blooms, investigation of population distribution and evaluation of ecological influence.

The application discloses a kind of intelligent switching water sample pretreatment system and method, system includes: combined sand filter sample barrel, for collecting water sample to be pretreated, initial water sample turbidity value acquisition is carried out, while water sample preliminary pre-filtering treatment is carried out;Positioning floating sampling device, for fixing to take supernatant after water sample settlement;Microfiltration module, for the microfiltration of ultrahigh turbidity water sample;Sample water transfer pump, for transmitting supernatant in combined sand filter sample barrel to microfiltration module;Sample collection barrel, for collecting and detecting water sample quantity after processing, for instrument or laboratory personnel to sample analysis;Valve assembly, by valve opening and closing, water sample is switched different pretreatment mode;Cleaning assembly, including rotary high-pressure spray head and self-heating ultrasonic cleaning device, for cleaning system after pretreatment internal residual adherend.

The invention provides an alumen ustum form monitoring method based on optical detection, belongs to the technical field of water treatment, and solves the problems that impurities such as silt, organic matters, algae and the like and bubbles generated in a stirring process can be overlapped with alumen ustum in an image, so that a target cannot be accurately distinguished during image segmentation, and the image quality is influenced. Therefore, the technical problem of misjudgment of the form parameters of the alumen ustum is solved. An alumen ustum form monitoring method based on optical detection comprises the following steps: constructing an impurity and bubble optical characteristic database of a multispectral light source, scanning a three-dimensional space of a water sample to obtain optical signal data, carrying out multi-characteristic fusion analysis to extract optical characteristics of impurities and bubbles, and establishing a multispectral recognition model to classify and distinguish various substances. And finally, accurately segmenting the alumen ustum area and extracting morphological parameters of the alumen ustum area According to the method, various substances can be accurately distinguished, the alumen ustum recognition and morphological analysis accuracy is improved, reliable data support is provided for automatic control and optimization of a water treatment process, and water quality safety is guaranteed.

The invention relates to a spectrum technology, and particularly provides a device and a method for measuring elements in water, the measuring device comprises a paper tape, a driving unit and an element measuring unit, the driving unit is used for driving the paper tape to move; the first applying unit is used for quantifying a water sample and applying the water sample to the paper tape; the first heating unit is used for heating a water sample applying part on the paper tape; and the element measuring unit measures the element content in the sample which is heated by the first heating unit and moved to the measuring unit by the driving unit. The device has the advantages of simple structure, good reliability and the like.

The invention relates to an unmanned ship water quality monitoring and sampling integrated system and a use method thereof, a frame unit is mounted on a ship deck plane of an unmanned ship and is used for fixedly carrying a water quality monitoring unit, a water quality sampling unit and an electrical control unit; the water quality monitoring unit can extract a water sample in a specified water area and monitor various water quality parameter signals; the water quality sampling unit carries a plurality of sampling bottles, can move up and down, left and right and front and back and hermetically stores a water sample in a specified water area; the laying and recycling unit enables a water source of a target water area to flow to the water quality monitoring unit and the water quality sampling unit through a sampling pipe; the electrical control unit controls the laying and recycling unit, the water quality monitoring unit and the water quality sampling unit according to instructions of the shore end command and control center on one hand, and feeds back water quality monitoring data and the working state of the current system on the other hand. The problem that secondary pollution is generated in the water area monitoring and sampling process in a traditional mode is solved, and the working efficiency is effectively improved.

The invention relates to the field of water quality detection, in particular to a water quality sampling detection method and device applied to a small and micro wetland unit. The method comprises the following steps: determining a turbidity coefficient according to scattered light intensity of a target water sample under different wavelengths, absorbance of a target interval in an ultraviolet absorption spectrum and fluorescence intensity of a target area in a fluorescence spectrum; determining a scattering equivalent absorption value of each wavelength according to the scattered light intensity of the target water sample under each wavelength, the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the turbidity coefficient; determining a real ultraviolet absorption signal of each wavelength according to the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the scattering equivalent absorption value of the wavelength; correcting the fluorescence spectrum according to the turbidity coefficient and the scattering equivalent absorption value of each wavelength to obtain a corrected fluorescence spectrum; and detecting the water quality according to the corrected fluorescence spectrum and the real ultraviolet absorption signal of each wavelength. According to the invention, accurate water quality sampling detection can be provided.