CN111982878A - Water pollution analysis method based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum - Google Patents
Water pollution analysis method based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum Download PDFInfo
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Abstract
The invention discloses a water pollution analysis method based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum, which comprises the following specific steps: sampling water quality, performing multi-point sampling on an analysis water source through sampling equipment, then manufacturing a polluted water sample and a purified water sample, collecting a three-dimensional fluorescence spectrum, irradiating multiple bottles of collected water samples, the polluted water sample and the purified water sample by ultraviolet rays to reflect fluorescence signals, generating the three-dimensional fluorescence spectrum by the fluorescence signals through a diffraction grating, converting the three-dimensional fluorescence spectrum into electric signals through a CMOS chip, thereby obtaining three-dimensional fluorescence spectrum data in the form of the electric signals, processing the three-dimensional fluorescence spectrum data, and preprocessing the three-dimensional fluorescence spectrum data. The invention has reasonable design and accurate analysis, can correct the three-dimensional fluorescence spectrum data, well ensures the accuracy of sewage analysis data, and provides a certain scientific basis for a water pollution treatment method.
Description
Technical Field
The invention belongs to the technical field of water pollution analysis methods, and particularly relates to a water pollution analysis method based on an ultraviolet visible spectrum and a three-dimensional fluorescence spectrum.
Background
Water pollution is the reduction or loss of the use value of water caused by harmful chemical substances, water polluting the environment, acid, alkali and oxidant in sewage, compounds such as copper, cadmium, mercury, arsenic and the like, organic poisons such as benzene, dichloroethane, ethylene glycol and the like can kill aquatic organisms and affect the drinking water source and scenic spot landscape, oxygen in water is consumed when organic matters in sewage are decomposed by microorganisms, the life of the aquatic organisms is affected, and after dissolved oxygen in water is exhausted, the organic matters are subjected to anaerobic decomposition to generate unpleasant gases such as hydrogen sulfide, mercaptan and the like, so that the water quality is further deteriorated, and therefore, the analysis of the pollution is particularly important for water treatment.
Through search, the patent of application No. 201910746293.0 discloses a water pollution analysis and prediction method based on big data, which comprises the following steps: s1, factory information management, wherein a factory basic information management module is designed, and the running state of a sewage discharge monitoring point is managed by a monitoring point state management module; s2, real-time monitoring and management, wherein a real-time monitoring and management module is designed, and comprises a sewage information real-time display module, a real-time standard exceeding monitoring and analyzing module and a real-time standard exceeding early warning and management module; s3, water quality analysis management, wherein the water quality analysis management module is designed and comprises a basic data management module, an assay data management module and a data report management module; s4, a big data analysis step, wherein a big data analysis module is designed, and sewage data are obtained through measurement of a sensor of a terminal and then are transmitted to a system; and S5, user management, namely designing a user management module and setting user authority through the role of the management user.
With the development of industry, the components contained in the sewage are complex, for example, the particle size distribution of non-corrosive fat and other biological macromolecules is not uniform, scattering occurs during ultraviolet irradiation, so that the quantitative detection result is inaccurate, accurate analysis of the components in the polluted water is difficult to realize, the analysis data is various, the analysis efficiency is low by adopting the existing device, and the use requirements of people cannot be met, so that the research of the water pollution analysis method based on the ultraviolet visible spectrum and the three-dimensional fluorescence spectrum is necessary.
Disclosure of Invention
The invention aims to provide a water pollution analysis method based on an ultraviolet visible spectrum and a three-dimensional fluorescence spectrum and an operation method thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a water pollution analysis method based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum comprises the following specific steps:
the method comprises the following steps: sampling water quality, performing multi-point sampling on an analysis water source through sampling equipment, and then manufacturing a polluted water sample and a purified water sample.
Step two: and collecting the three-dimensional fluorescence spectrum, irradiating the water samples collected by the plurality of bottles, the polluted water samples and the purified water samples by ultraviolet rays to reflect fluorescence signals, and generating the three-dimensional fluorescence spectrum by the fluorescence signals through a diffraction grating.
Step three: and converting the three-dimensional fluorescence spectrum into an electric signal through a CMOS chip, thereby obtaining three-dimensional fluorescence spectrum data in the form of the electric signal.
Step four: and (3) processing the three-dimensional fluorescence spectrum data, namely preprocessing the three-dimensional fluorescence spectrum data, converting the three-dimensional fluorescence spectrum data into a three-dimensional data set required by subsequent analysis, performing internal filter effect, blank deduction and quinoline sulfate correction on the three-dimensional fluorescence data, and outputting a PARAFAC model.
Step five: and (3) auditing data, namely comparing the PARAFAC model output by the water sample with the PARAFAC model output by the polluted water sample and the purified water sample, and calculating the PARAFAC model group score of the fluorescence and absorption spectrum data of the sample.
Step six: and (4) judging data, namely calculating according to the analysis result of the step five so as to judge whether the water quality meets the quality requirement.
As a further scheme of the invention, the water quality sampling device comprises a sampling device, the sampling device comprises an unmanned aerial vehicle body, a fixing frame, a collection vessel, an extraction mechanism and a control mechanism, the fixing frame is rotatably installed at the lower end position of the unmanned aerial vehicle body, the collection vessel is provided with a plurality of collection vessels and is uniformly fixed on the fixing frame, the input end of the extraction mechanism is arranged at the lower side of the collection vessel, the output end of the extraction machine is arranged on the input end of the collection vessel, and the control mechanism is installed on the unmanned aerial vehicle body.
As a further proposal of the invention, the sampling device also comprises a back washing mechanism which is arranged at the output end of the extraction mechanism, and the input end and the output end of the extraction mechanism are both fixed with control valves.
As a further scheme of the invention, the fixing frame is driven by a motor, the motor is fixedly mounted on the unmanned aerial vehicle body, and the control mechanism comprises a controller and a receiver.
As a further scheme of the invention, the ultraviolet in the collected three-dimensional fluorescence spectrum is monochromatic ultraviolet light output by a laser array, wherein the excitation wavelength of the monochromatic ultraviolet light is 300-500 nm, and the emission wavelength is 450-650 nm.
As a further embodiment of the present invention, the spectrum preprocessing method in the processing of the three-dimensional fluorescence spectrum data includes centering, scaling, normalization, first derivative (1stDer), second derivative (2ndDer), Continuous Wavelet Transform (CWT), Standard Normal Variable (SNV), and Multivariate Scatter Correction (MSC).
As a further scheme of the invention, the Standard Normal Variable (SNV) is adopted in the spectrum pretreatment method in the processing of the three-dimensional fluorescence spectrum data, and the Standard Normal Variable (SNV) can effectively correct the macromolecular scattering problem in water quality, so that more accurate characteristic wave bands are obtained, and the light scattering problem caused by the impurity and uneven distribution of sewage components is solved.
As a further aspect of the present invention, the PARAFAC model comparison in the review of the data is performed by image analysis.
As a further scheme of the invention, the data judgment comprises data preliminary positioning, data retrieval and data matching, the data retrieval adopts a method of searching keywords, and the data matching adopts a high-grade screening method in Excel.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention has reasonable design and accurate analysis, can correct the three-dimensional fluorescence spectrum data, well ensures the accuracy of sewage analysis data, and provides a certain scientific basis for a water pollution treatment method;
2. according to the invention, the polluted water sample and the purified water sample are added during the analysis of the water sample, so that the PARAFAC model of the polluted water sample and the purified water sample is realized, and the direct comparison of the water sample with the polluted water sample and the purified water sample is further facilitated, so that the relative error is small, and the accuracy of water sample molecules is well ensured;
3. according to the method, the internal filtering effect, blank subtraction and quinoline sulfate correction are carried out after the required three-dimensional data set, so that the data of the three-dimensional data set is simplified and reasonable, and a certain guarantee is provided for water sample analysis;
4. according to the invention, data judgment is carried out after water sample analysis, and the data of the water sample analysis is compared with the data pre-stored in the database, so that the change of the content of pollutants in the water source of the addition coating can be found out, and a scientific basis is provided for more reasonable treatment of the water source.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a diagram of the operation steps of a water pollution analysis method based on UV-visible spectrum and three-dimensional fluorescence spectrum.
FIG. 2 is a block diagram of a sampling device assembly in a water pollution analysis method based on UV-visible spectroscopy and three-dimensional fluorescence spectroscopy.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1 and 2, in an embodiment of the present invention, a method for analyzing water pollution based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum includes the following steps:
the method comprises the following steps: sampling water quality, performing multi-point sampling on an analysis water source through sampling equipment, and then manufacturing a polluted water sample and a purified water sample.
Step two: and collecting the three-dimensional fluorescence spectrum, irradiating the water samples collected by the plurality of bottles, the polluted water samples and the purified water samples by ultraviolet rays to reflect fluorescence signals, and generating the three-dimensional fluorescence spectrum by the fluorescence signals through a diffraction grating.
Step three: and converting the three-dimensional fluorescence spectrum into an electric signal through a CMOS chip, thereby obtaining three-dimensional fluorescence spectrum data in the form of the electric signal.
Step four: and (3) processing the three-dimensional fluorescence spectrum data, namely preprocessing the three-dimensional fluorescence spectrum data, converting the three-dimensional fluorescence spectrum data into a three-dimensional data set required by subsequent analysis, performing internal filter effect, blank deduction and quinoline sulfate correction on the three-dimensional fluorescence data, and outputting a PARAFAC model.
Step five: and (3) auditing data, namely comparing the PARAFAC model output by the water sample with the PARAFAC model output by the polluted water sample and the purified water sample, and calculating the PARAFAC model group score of the fluorescence and absorption spectrum data of the sample.
Step six: and (4) judging data, namely calculating according to the analysis result of the step five so as to judge whether the water quality meets the quality requirement.
Example two
Referring to fig. 2, in the embodiment of the present invention, the sampling device includes a sampling device, the sampling device includes an unmanned aerial vehicle body, a fixing frame, a plurality of collecting vessels, an extracting mechanism and a control mechanism, the fixing frame is rotatably installed at a lower end of the unmanned aerial vehicle body, the collecting vessels are uniformly fixed on the fixing frame, an input end of the extracting mechanism is disposed at a lower side of the collecting vessel, an output end of the extracting machine is disposed at an input end of the collecting vessel, and the control mechanism is installed on the unmanned aerial vehicle body.
The sampling device further comprises a back washing mechanism, the back washing mechanism is arranged at the output end of the extraction mechanism, and the input end and the output end of the extraction mechanism are both fixed with control valves, so that the extraction mechanism can be washed after single sampling, impurities of residues in next water sampling are well avoided, and certain quality guarantee is provided for multi-year chemical examination of water samples.
The mount passes through motor drive, and motor fixed mounting is on the unmanned aerial vehicle body, and the confer is convenient for constantly switch different collection wares to extraction mechanism output side position, and then realizes the multiple spot operation of taking a sample, and control mechanism includes controller and receiver to the operating condition of the unmanned aerial vehicle body of being convenient for and motor, and then realize the automatic operation of taking a sample.
EXAMPLE III
Referring to fig. 1, in the embodiment of the present invention, the collected ultraviolet in the three-dimensional fluorescence spectrum outputs monochromatic ultraviolet light through the laser array, where the excitation wavelength of the monochromatic ultraviolet light is 300-500 nm, and the emission wavelength is 450-650 nm, so that the spectrum generated after the ultraviolet irradiation is more significant, and a certain guarantee is provided for extracting subsequent spectrum data.
Example four
Referring to fig. 1, in the embodiment of the present invention, the spectrum preprocessing method in the processing of three-dimensional fluorescence spectrum data includes centering, scaling, normalization, first derivative (1stDer), second derivative (2ndDer), Continuous Wavelet Transform (CWT), Standard Normal Variable (SNV), and Multivariate Scatter Correction (MSC).
The spectrum preprocessing method in the processing of the three-dimensional fluorescence spectrum data adopts a Standard Normal Variable (SNV), and the Standard Normal Variable (SNV) can effectively correct the macromolecular scattering problem in water quality, so that more accurate characteristic wave bands are obtained, and the problem of light scattering caused by multiple sewage components and uneven distribution is solved.
EXAMPLE five
Referring to fig. 1, in the embodiment of the present invention, the parafacc model is compared with the data in the audit, so that whether the water sample parafacc model meets the requirement of the test can be observed more intuitively, and the burden of the worker is greatly reduced.
EXAMPLE six
Referring to fig. 1, in the embodiment of the present invention, the data determination includes data preliminary positioning, data retrieval and data matching, the data retrieval adopts a method of searching keywords, the data matching adopts an Excel medium-high level screening method, and the data of water sample analysis is compared with the data pre-stored in the database, so that the change of the content of the pollutants in the water source of the additive coating can be found out, and a scientific basis is provided for more reasonable treatment of the water source.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (9)
1. A water pollution analysis method based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum is characterized by comprising the following specific steps:
the method comprises the following steps: sampling water quality, namely performing multi-point sampling on an analysis water source through sampling equipment, and then manufacturing a polluted water sample and a purified water sample;
step two: collecting a three-dimensional fluorescence spectrum, irradiating the water samples collected by a plurality of bottles, polluted water samples and purified water samples by ultraviolet rays to reflect fluorescence signals, and generating the three-dimensional fluorescence spectrum by the fluorescence signals through a diffraction grating;
step three: converting the three-dimensional fluorescence spectrum into an electric signal through a CMOS chip so as to obtain three-dimensional fluorescence spectrum data in the form of the electric signal;
step four: processing the three-dimensional fluorescence spectrum data, namely preprocessing the three-dimensional fluorescence spectrum data, converting the three-dimensional fluorescence spectrum data into a three-dimensional data set required by subsequent analysis, performing internal filter effect, blank subtraction and quinoline sulfate correction on the three-dimensional fluorescence data, and outputting a PARAFAC model;
step five: auditing data, namely comparing a PARAFAC model output by a water sample with a PARAFAC model output by a polluted water sample and a purified water sample, and calculating the PARAFAC model composition score of fluorescence and absorption spectrum data of the sample;
step six: and (4) judging data, namely calculating according to the analysis result of the step five so as to judge whether the water quality meets the quality requirement.
2. The method for analyzing water pollution based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum of claim 1, wherein the sampling of the water quality comprises a sampling device, the sampling device comprises an unmanned aerial vehicle body, a fixing frame, a collecting vessel, an extraction mechanism and a control mechanism, the fixing frame is rotatably installed at the lower end position of the unmanned aerial vehicle body, the collecting vessel is provided with a plurality of collecting vessels and is uniformly fixed on the fixing frame, the input end of the extraction mechanism is arranged at the lower side of the collecting vessel, the output end of the extractor is arranged at the input end of the collecting vessel, and the control mechanism is installed on the unmanned aerial vehicle body.
3. The method as claimed in claim 2, wherein the sampling device further comprises a back-washing mechanism, the back-washing mechanism is disposed at the output end of the pumping mechanism, and the input and output ends of the pumping mechanism are both fixed with control valves.
4. The method for analyzing water pollution according to claim 2, wherein the fixing frame is driven by a motor, the motor is fixedly mounted on the unmanned aerial vehicle body, and the control mechanism comprises a controller and a receiver.
5. The method for analyzing water pollution based on the ultraviolet visible spectrum and the three-dimensional fluorescence spectrum according to claim 1, wherein the ultraviolet rays collected from the three-dimensional fluorescence spectrum are monochromatic ultraviolet rays output by a laser array, the excitation wavelength of the monochromatic ultraviolet rays is 300-500 nm, and the emission wavelength is 450-650 nm.
6. The method for analyzing water pollution based on UV-visible spectrum and three-dimensional fluorescence spectrum of claim 1, wherein the preprocessing of the spectrum in the processing of the three-dimensional fluorescence spectrum data includes centering, scaling, normalization, first derivative (1stDer), second derivative (2ndDer), Continuous Wavelet Transform (CWT), Standard Normal Variable (SNV) and Multivariate Scattering Correction (MSC).
7. The method for analyzing water pollution based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum according to claim 6, wherein Standard Normal Variables (SNV) are adopted in the spectrum preprocessing method in the processing of the three-dimensional fluorescence spectrum data, and the Standard Normal Variables (SNV) can effectively correct the problem of macromolecular scattering in water quality, so that more accurate characteristic wave bands are obtained, and the problem of light scattering caused by multiple sewage components and uneven distribution is solved.
8. The method for analyzing water pollution according to claim 1, wherein the PARAFAC model comparison in the data auditing adopts an image analysis method.
9. The method for analyzing water pollution based on ultraviolet visible spectrum and three-dimensional fluorescence spectrum of claim 1, wherein the data determination comprises data preliminary positioning, data retrieval and data matching, the data retrieval adopts a method of searching keywords, and the data matching adopts an Excel medium-high level screening method.
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Cited By (5)
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| CN113011478A (en) * | 2021-03-05 | 2021-06-22 | 清华大学 | Pollution source identification method and system based on data fusion |
| CN113376114A (en) * | 2021-06-24 | 2021-09-10 | 北京市生态环境监测中心 | Water pollution tracing method based on ultraviolet-visible spectrum data |
| CN114371156A (en) * | 2022-01-24 | 2022-04-19 | 安徽顺迈建设有限公司 | Remote sewage online detection system |
| CN114486780A (en) * | 2022-01-27 | 2022-05-13 | 华南农业大学 | Method for rapidly detecting content of organophosphorus pesticide in natural environment water body |
| CN116199284A (en) * | 2023-02-20 | 2023-06-02 | 济南森华工程技术有限公司 | Power plant wastewater zero discharge system |
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| CN114486780A (en) * | 2022-01-27 | 2022-05-13 | 华南农业大学 | Method for rapidly detecting content of organophosphorus pesticide in natural environment water body |
| CN114486780B (en) * | 2022-01-27 | 2023-08-29 | 华南农业大学 | Method for rapidly detecting content of organophosphorus pesticide in natural environment water body |
| CN116199284A (en) * | 2023-02-20 | 2023-06-02 | 济南森华工程技术有限公司 | Power plant wastewater zero discharge system |
| CN116199284B (en) * | 2023-02-20 | 2023-11-14 | 济南森华工程技术有限公司 | Power plant wastewater zero discharge system |
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