CN112082962A - Water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing - Google Patents

Water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing Download PDF

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CN112082962A
CN112082962A CN202010920578.4A CN202010920578A CN112082962A CN 112082962 A CN112082962 A CN 112082962A CN 202010920578 A CN202010920578 A CN 202010920578A CN 112082962 A CN112082962 A CN 112082962A
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sample
water
visible spectrum
compressed sensing
water quality
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丁训林
杨齐红
王万青
孙刚忠
李明超
任福林
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Anhui Sihuan Technology Co ltd
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Anhui Sihuan Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • G01N21/274Calibration, base line adjustment, drift correction

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Abstract

The invention discloses a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing, which comprises the specific steps of sampling a water body to be detected, carrying out multipoint sampling on a sample in the water body to be detected, and preprocessing the sample; after the pretreatment of the sample is finished, ultraviolet-visible spectrum collection is carried out on the detected water sample by using a spectrometer, and pretreatment denoising is carried out; fitting the data detected by the spectrometer with sample data in a water sample feature library to form a low-resolution map; performing atlas processing on the low-resolution atlas to form a high-resolution atlas; and displaying the processing result, and importing the result into a water sample characteristic library. According to the water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing, the spectrometer can analyze and process data after detecting the water body, so that data surrounding images are more accurate and clear, and the water quality data can be read more conveniently.

Description

Water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing
Technical Field
The invention relates to the technical field of water quality detection, in particular to a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing.
Background
A spectrometer (spectrometer) is a scientific instrument that decomposes light with complex components into spectral lines, and is composed of a prism or a diffraction grating, etc., and can measure light reflected by the surface of an object using the spectrometer. The seven colors of sunlight are visible light, but if the sunlight is decomposed by a spectrometer and arranged according to wavelength, the visible light occupies a small range in the spectrum, and the rest is a spectrum which cannot be distinguished by naked eyes, such as infrared rays, microwaves, ultraviolet rays, X rays and the like. The optical information is captured by a spectrometer, developed by a photographic negative film, or displayed and analyzed by a computerized automatic display numerical instrument, so that the element contained in the article can be detected. This technique is widely used in the detection of air pollution, water pollution, food hygiene, metal industry, and the like. An optical instrument for separating the light of the complex color into spectra. There are various types of spectrometers, including infrared spectrometers and ultraviolet spectrometers, in addition to spectrometers used in the visible light band. The dispersion elements can be classified into prism spectrometers, grating spectrometers, interference spectrometers, and the like. There are a spectroscope for direct visual observation by eye, a spectrograph recorded by a photographic plate, and a spectrophotometer for detecting a spectrum by a photoelectric or pyroelectric element, etc., according to the detection method. The monochromator is a spectral instrument which only outputs monochromatic spectral lines through a slit and is often used in combination with other analytical instruments.
Compressed sensing, also known as compressive sampling or sparse sampling, is a technique to find a sparse solution to an underdetermined linear system. Compressed sensing is applied in electronic engineering, especially in signal processing, for acquiring and reconstructing sparse or compressible signals. The method utilizes the characteristic of signal sparsity to recover the original whole signal to be known from less measured values compared with the Nyquist theory. Nuclear magnetic resonance is one possible application for this method. In the existing water quality detection process, the accuracy of obtained data and images is poor.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing.
In order to achieve the purpose, the invention adopts the following technical scheme:
a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing comprises the following specific steps:
the method comprises the following steps: sampling a water body to be detected, carrying out multi-point sampling on a sample in the water body to be detected, and preprocessing the sample;
step two: after the pretreatment of the sample is finished, ultraviolet-visible spectrum collection is carried out on the detected water sample by using a spectrometer, and pretreatment denoising is carried out;
step three: fitting the data detected by the spectrometer with sample data in a water sample feature library to form a low-resolution map;
step four: performing atlas processing on the low-resolution atlas to form a high-resolution atlas;
step five: and displaying the processing result, importing the result into a water sample characteristic library, and displaying data.
As a further scheme of the present invention, the spectrum collection device includes a light source, an optical filter, a detector and a data transmission module, the light source is configured to emit a light beam to irradiate a water body to be detected, the optical filter is configured to filter an optical signal and a diffuse reflection optical signal of the light beam emitted from the light source to the water body to be detected, the optical signal and the diffuse reflection optical signal include information of the water quality parameter spectrum data, the detector is configured to receive the optical signal and the diffuse reflection optical signal filtered by the optical filter and convert the optical signal and the diffuse reflection optical signal into an electrical signal and a diffuse reflection electrical signal, respectively, and the data transmission module is configured to transmit the electrical signal and the diffuse reflection electrical signal to the control device;
as a further scheme of the invention, the process of map processing is that firstly, a low-resolution map is subjected to one-level wavelet decomposition, a segment is decomposed into a plurality of non-overlapping segments, then, the sparse description of each block is optimized and solved according to a compressed sensing theory, a corresponding high-resolution byte sub-band image is constructed by high-resolution detail blocks, and then, an original low-resolution image is used as an LL sub-band, and one-level wavelet inverse transformation is performed by combining three high-resolution detail sub-bands obtained by restoration to obtain a high-resolution restored image.
As a further scheme of the invention, the water sample characteristic library comprises sample spectra of different water samples, and the sample spectrum of each water sample is a set of ultraviolet-visible absorption spectra with different turbidity values.
As a further scheme of the invention, the processing result is displayed, and the result is imported into the water sample characteristic library and is stored in the water sample characteristic library as sample data.
Compared with the prior art, the invention provides a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing, which has the following beneficial effects:
according to the water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing, the spectrometer can analyze and process data after detecting the water body, so that data surrounding images are more accurate and clear, and the water quality data can be read more conveniently.
Drawings
FIG. 1 is a schematic structural diagram of a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing according to the present invention;
FIG. 2 is a schematic structural diagram of a map processing part of the water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing provided by the invention.
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.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example one
Referring to fig. 1-2, a water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing comprises the following specific steps:
the method comprises the following steps: sampling a water body to be detected, carrying out multi-point sampling on a sample in the water body to be detected, and preprocessing the sample;
step two: after the pretreatment of the sample is finished, ultraviolet-visible spectrum collection is carried out on the detected water sample by using a spectrometer, and pretreatment denoising is carried out;
step three: fitting the data detected by the spectrometer with sample data in a water sample feature library to form a low-resolution map;
step four: performing atlas processing on the low-resolution atlas to form a high-resolution atlas;
step five: and displaying the processing result, importing the result into a water sample characteristic library, and displaying data.
In this embodiment, spectrum collection system includes light source, light filter, detector and data transmission module, the light source for the emitted light beam shines the body of being surveyed, the light filter, it is right to be used for the light source to launch the light signal and the diffuse reflection light signal of the light beam of the body of being surveyed carry out filtering process, light signal and diffuse reflection light signal contain the information of water quality parameter spectral data, the detector, be used for receiving light signal and diffuse reflection light signal after the light filter filters, and will light signal and diffuse reflection light signal convert electrical signal and diffuse reflection electrical signal into respectively, data transmission module, be used for with electrical signal and diffuse reflection electrical signal send to controlling means.
According to the water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing, the spectrometer can analyze and process data after detecting the water body, so that data surrounding images are more accurate and clear, and the water quality data can be read more conveniently.
Example two
As shown in fig. 1-2, this embodiment is substantially the same as embodiment 1, and preferably the atlas handling is performed by first performing a one-level wavelet decomposition on the low resolution atlas, decomposing the atlas into several non-overlapping segments, and then, and optimally solving the sparse description of each block according to a compressed sensing theory, constructing a corresponding high-resolution byte subband image by using high-resolution detail blocks, and then, taking the original low-resolution image as an LL sub-band, combining three high-resolution detail sub-bands obtained by restoration, performing one-level wavelet inverse transformation to obtain a high-resolution restoration image, the water sample characteristic library comprises sample spectrums of different water samples, the sample spectrum of each water sample is a group of ultraviolet-visible absorption spectrums with different turbidity values, and displaying the processing result, importing the result into the water sample characteristic library, and storing the result as sample data in the water sample characteristic library.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (5)

1. A water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing is characterized in that the operation method comprises the following specific steps:
the method comprises the following steps: sampling a water body to be detected, carrying out multi-point sampling on a sample in the water body to be detected, and preprocessing the sample;
step two: after the pretreatment of the sample is finished, ultraviolet-visible spectrum collection is carried out on the detected water sample by using a spectrometer, and pretreatment denoising is carried out;
step three: fitting the data detected by the spectrometer with sample data in a water sample feature library to form a low-resolution map;
step four: performing atlas processing on the low-resolution atlas to form a high-resolution atlas;
step five: and displaying the processing result, importing the result into a water sample characteristic library, and displaying data.
2. The water quality UV-visible spectrum denoising and correcting method based on compressed sensing as claimed in claim 1, it is characterized in that the spectrum acquisition device comprises a light source, an optical filter, a detector and a data transmission module, wherein the light source, the optical filter is used for filtering the optical signal and the diffuse reflection optical signal of the light beam emitted to the water body to be detected by the light source, the optical signal and the diffuse reflected optical signal contain information of the water quality parameter spectral data, the detector, used for receiving the optical signal and the diffuse reflection optical signal filtered by the optical filter and respectively converting the optical signal and the diffuse reflection optical signal into an electric signal and a diffuse reflection electric signal, and the data transmission module is used for transmitting the electric signal and the diffuse reflection electric signal to the control device.
3. The method for denoising and correcting the water quality ultraviolet-visible spectrum based on compressed sensing as claimed in claim 1, wherein the processing of the map is that first level wavelet decomposition is performed on the low resolution map, the segments are decomposed into a plurality of non-overlapping segments, then the sparse description of each block is solved according to the compressed sensing theory optimization, corresponding high resolution byte subband images are constructed by high resolution detail blocks, then the original low resolution image is used as an LL subband, and first level wavelet inverse transformation is performed by combining three high resolution detail subbands obtained by restoration to obtain a high resolution restored image.
4. The water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing as claimed in claim 1, wherein the water sample feature library contains sample spectra of different water samples, and the sample spectrum of each water sample is a set of ultraviolet-visible absorption spectra with different turbidity values.
5. The water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing of claim 4, wherein the processing result is displayed, and the result is imported into a water sample feature library and stored in the water sample feature library as sample data.
CN202010920578.4A 2020-09-04 2020-09-04 Water quality ultraviolet-visible spectrum denoising and correcting method based on compressed sensing Pending CN112082962A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103983595A (en) * 2014-05-27 2014-08-13 重庆大学 Water quality turbidity calculating method based on ultraviolet-visible spectroscopy treatment
CN106056548A (en) * 2016-05-25 2016-10-26 四川大学 Super-resolution image restoration method based on wavelet transformation domain compressed sensing
CN108169445A (en) * 2017-12-26 2018-06-15 潘远新 A kind of effective monitoring lake water quality system
CN108827882A (en) * 2018-03-13 2018-11-16 中科谱光科技(北京)有限公司 Water quality parameter spectroscopic analysis system
CN109063730A (en) * 2018-06-22 2018-12-21 杭州电子科技大学 A kind of convex programming cluster water pollution source tracing method
CN110490387A (en) * 2019-08-26 2019-11-22 武汉和时利自动化系统工程有限公司 Effluent quality forecasting system and method for water treatment system
CN111007039A (en) * 2019-11-29 2020-04-14 航天东方红卫星有限公司 Automatic extraction method and system for sub-pixel level water body of medium-low resolution remote sensing image
CN111198165A (en) * 2020-01-14 2020-05-26 重庆理工大学 Method for measuring water quality parameters based on spectral data standardization

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103983595A (en) * 2014-05-27 2014-08-13 重庆大学 Water quality turbidity calculating method based on ultraviolet-visible spectroscopy treatment
CN106056548A (en) * 2016-05-25 2016-10-26 四川大学 Super-resolution image restoration method based on wavelet transformation domain compressed sensing
CN108169445A (en) * 2017-12-26 2018-06-15 潘远新 A kind of effective monitoring lake water quality system
CN108827882A (en) * 2018-03-13 2018-11-16 中科谱光科技(北京)有限公司 Water quality parameter spectroscopic analysis system
CN109063730A (en) * 2018-06-22 2018-12-21 杭州电子科技大学 A kind of convex programming cluster water pollution source tracing method
CN110490387A (en) * 2019-08-26 2019-11-22 武汉和时利自动化系统工程有限公司 Effluent quality forecasting system and method for water treatment system
CN111007039A (en) * 2019-11-29 2020-04-14 航天东方红卫星有限公司 Automatic extraction method and system for sub-pixel level water body of medium-low resolution remote sensing image
CN111198165A (en) * 2020-01-14 2020-05-26 重庆理工大学 Method for measuring water quality parameters based on spectral data standardization

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