CN113670886A - Three-dimensional fluorescence spectrum measurement system and method for oil type identification of offshore oil film - Google Patents
Three-dimensional fluorescence spectrum measurement system and method for oil type identification of offshore oil film Download PDFInfo
- Publication number
- CN113670886A CN113670886A CN202111117239.3A CN202111117239A CN113670886A CN 113670886 A CN113670886 A CN 113670886A CN 202111117239 A CN202111117239 A CN 202111117239A CN 113670886 A CN113670886 A CN 113670886A
- Authority
- CN
- China
- Prior art keywords
- mirror
- plane reflecting
- reflecting mirror
- dichroic
- fluorescence spectrum
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000002189 fluorescence spectrum Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 11
- 238000005259 measurement Methods 0.000 title claims description 6
- 229910052724 xenon Inorganic materials 0.000 claims abstract description 17
- FHNFHKCVQCLJFQ-UHFFFAOYSA-N xenon atom Chemical compound [Xe] FHNFHKCVQCLJFQ-UHFFFAOYSA-N 0.000 claims abstract description 17
- 238000004891 communication Methods 0.000 claims abstract description 4
- 239000003921 oil Substances 0.000 claims description 47
- 238000010801 machine learning Methods 0.000 claims description 7
- 238000012549 training Methods 0.000 claims description 6
- 230000005284 excitation Effects 0.000 claims description 5
- 230000001678 irradiating effect Effects 0.000 claims description 3
- 235000019198 oils Nutrition 0.000 description 41
- 230000005540 biological transmission Effects 0.000 description 3
- 239000002283 diesel fuel Substances 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 239000010779 crude oil Substances 0.000 description 2
- 238000002795 fluorescence method Methods 0.000 description 2
- 238000004817 gas chromatography Methods 0.000 description 2
- 239000003502 gasoline Substances 0.000 description 2
- 239000010763 heavy fuel oil Substances 0.000 description 2
- 239000010687 lubricating oil Substances 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 238000013145 classification model Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003350 kerosene Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000004006 olive oil Substances 0.000 description 1
- 235000008390 olive oil Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6402—Atomic fluorescence; Laser induced fluorescence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0205—Optical elements not provided otherwise, e.g. optical manifolds, diffusers, windows
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/44—Raman spectrometry; Scattering spectrometry ; Fluorescence spectrometry
- G01J3/4406—Fluorescence spectrometry
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention discloses a three-dimensional fluorescence spectrum measuring system and a method for oil seed identification of an oil film on the sea, wherein the system comprises a xenon lamp, a plurality of dichroic mirrors, a spectrometer, a condenser lens, a collecting mirror, a first plane reflecting mirror, a second plane reflecting mirror and an upper computer, wherein an electric multi-dichroic mirror wheel carrier is in wireless communication with the upper computer, and the upper computer remotely controls the rotation period of the electric multi-dichroic mirror wheel carrier; the plurality of dichroic mirrors are arranged on an electric binomial color mirror wheel rotating frame in front of a xenon lamp, the first plane reflecting mirror and the second plane reflecting mirror are arranged above and below the electric binomial color mirror wheel rotating frame, an angle of 135 degrees is formed between the first plane reflecting mirror and the horizontal direction, an angle of 45 degrees is formed between the second plane reflecting mirror and the horizontal direction, the collecting mirror is arranged in front of the first plane reflecting mirror, the spectrometer is arranged in front of the collecting mirror, and at least 2 condensing lenses are arranged in front of the second plane reflecting mirror.
Description
Technical Field
The invention relates to the technical field of water surface environment monitoring, in particular to a three-dimensional fluorescence spectrum measurement system and method for identifying oil types of an offshore oil film.
Background
At present, methods for identifying oil types of offshore oil films mainly comprise optical remote sensing, chemical gas chromatography, laser-induced oil fluorescence and the like. The limitation of factors such as weather remote sensing by visible light is large, and the identification accuracy is not high; although the chemical gas chromatography is accurate, the process is complex and the time cost is large. The traditional laser-induced oil fluorescence method adopts a single excitation wavelength, analyzes a two-dimensional fluorescence spectrum emitted after an offshore oil film is excited, and identifies different oil types according to different fluorescence spectrum intensities and shapes of different substances. The traditional laser-induced oil fluorescence method can distinguish different types of oil seeds easily: such as diesel and crude oil, heavy fuel oil and lubricating oil, but similar oil species with highly aliased spectra are difficult to distinguish, such as: gasoline, diesel oil, etc., and is easily interfered by unknown fluorescent groups in seawater.
Disclosure of Invention
According to the problems in the prior art, the invention discloses a three-dimensional fluorescence spectrum measuring system for oil type identification of an offshore oil film, which comprises a xenon lamp, a plurality of dichroic mirrors, a spectrometer, a condenser lens, a collecting mirror, a first plane reflecting mirror, a second plane reflecting mirror and an upper computer, wherein an electric multi-dichroic mirror wheel carrier is in wireless communication with the upper computer, and the upper computer remotely controls the rotation period of the electric multi-dichroic mirror wheel carrier;
the plurality of dichroic mirrors are arranged on an electric binomial color mirror wheel rotating frame in front of a xenon lamp, the first plane reflecting mirror and the second plane reflecting mirror are arranged above and below the electric binomial color mirror wheel rotating frame, an angle of 135 degrees is formed between the first plane reflecting mirror and the horizontal direction, an angle of 45 degrees is formed between the second plane reflecting mirror and the horizontal direction, the collecting mirror is arranged in front of the first plane reflecting mirror, the spectrometer is arranged in front of the collecting mirror, and at least 2 condensing lenses are arranged in front of the second plane reflecting mirror.
A measuring method of a three-dimensional fluorescence spectrum measuring system for oil seed identification of an offshore oil film comprises the following steps:
acquiring three-dimensional fluorescence spectrum curves of various oils, and training and classifying by using a machine learning algorithm;
the dichroic mirror reflects xenon lamps with corresponding wavelengths to emit light, forms monochromatic light, changes the projection direction of the monochromatic light, and irradiates an oil film after being reflected by the second plane reflector and transmitted by the condenser lens so as to excite fluorescence;
the fluorescence excited by the oil film is projected onto the dichroic mirror along the condensing lens and the second plane reflector, and is separated from a xenon lamp emission light path, and the fluorescence passes through the dichroic mirror, is reflected by the first plane reflector and then enters the collecting mirror;
the collecting mirror collects and converges the transmitted fluorescent signals and transmits the signals into the spectrometer;
the spectrometer converts the fluorescence signal into a corresponding two-dimensional fluorescence spectrum and transmits the two-dimensional fluorescence spectrum to an upper computer;
the electric multi-dichroic mirror wheel carrier rotates, the dichroic mirror on the light path is changed, so that the wavelength of monochromatic light irradiating the oil film is changed, different fluorescent light is excited, and the steps are repeated;
the upper computer combines the two-dimensional fluorescence spectra with different excitation wavelengths to form a three-dimensional fluorescence spectrum, and then a trained machine learning algorithm is used for obtaining a corresponding classification result.
Due to the adoption of the technical scheme, the three-dimensional fluorescence spectrum measuring system and the method for identifying the oil type of the offshore oil film can acquire the three-dimensional fluorescence spectrum of the corresponding oil film, classify the three-dimensional fluorescence spectrum by machine learning, improve the identification precision of the oil type of the offshore oil film, break through the problem of difficult identification of similar oil types, and have higher engineering practical value.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention.
In the figure: 1. xenon lamp, 2, dichroic mirror, 3, spectrometer, 4, condenser lens, 5, collecting mirror, 61, first plane mirror, 62, second plane mirror, 7, host computer, 21, electronic many dichroic mirror wheel revolving rack.
Detailed Description
In order to make the technical solutions and advantages of the present invention clearer, the following describes the technical solutions in the embodiments of the present invention clearly and completely with reference to the drawings in the embodiments of the present invention:
the three-dimensional fluorescence spectrum measuring system for oil film oil type identification on sea as shown in fig. 1 comprises a xenon lamp 1, a plurality of dichroic mirrors 2, a spectrometer 3, a condenser lens 4, a collecting mirror 5, a first plane reflecting mirror 61, a second plane reflecting mirror 62 and an upper computer 7, wherein an electric multi-dichroic mirror wheel carrier 21 is in wireless communication with the upper computer 7, and the upper computer 7 remotely controls the rotation period of the electric multi-dichroic mirror wheel carrier 21.
The plurality of dichroic mirrors 2 are arranged on an electric binomial color mirror wheel rotating frame 21 in front of the xenon lamp 1, the first plane reflecting mirror 61 and the second plane reflecting mirror 62 are arranged above and below the electric binomial color mirror wheel rotating frame 21, the first plane reflecting mirror 61 forms an angle of 135 degrees with the horizontal direction, the second plane reflecting mirror 62 forms an angle of 45 degrees with the horizontal direction, the collecting mirror 5 is arranged in front of the first plane reflecting mirror 61, the spectrograph 3 is arranged in front of the collecting mirror 5, and the condensing lenses 4 are at least 2 and are arranged in front of the second plane reflecting mirror 62.
A three-dimensional fluorescence spectrum measurement system for oil seed identification of an offshore oil film comprises the following measurement methods:
the method comprises the steps of obtaining three-dimensional fluorescence spectrum data of oil films (such as heavy fuel oil, kerosene, crude oil, olive oil, diesel oil, gasoline, lubricating oil and the like) of various marine common oil types, constructing a training data set and a testing data set, and marking corresponding oil types on the training data set. And training a classification model applied to offshore oil film recognition by adopting a deep convolutional neural network method. And carrying the trained model to a workstation to realize the quick and accurate identification of the oil film of the spilled oil on the sea.
Acquiring three-dimensional fluorescence spectrum curves of various oils, and training and classifying by using a machine learning algorithm;
the dichroic mirror 2 reflects light emitted by the xenon lamp 1 with a corresponding wavelength to form monochromatic light, changes the projection direction of the monochromatic light, and irradiates an oil film after being reflected by the second plane reflecting mirror 62 and transmitted by the condenser lens 4 so as to excite fluorescence;
the fluorescence excited by the oil film is projected onto the dichroic mirror 2 along the condenser lens 4 and the second plane reflector 62, and is separated from the light path of the xenon lamp 1 excitation light, and the fluorescence passes through the dichroic mirror 2, is reflected by the first plane reflector 61, and then enters the collecting mirror 5;
the collecting mirror 5 collects, converges and transmits the transmitted fluorescent signals into the spectrometer 3;
the spectrometer 3 converts the fluorescence signal into a corresponding two-dimensional fluorescence spectrum and transmits the two-dimensional fluorescence spectrum to the upper computer 7;
the electric multi-dichroic mirror rotating wheel frame 21 rotates to change the dichroic mirror 2 on the light path, and the wavelength of monochromatic light irradiating an oil film is changed due to different reflection wavelengths of different dichroic mirrors, different fluorescent lights are excited, and the steps are repeated;
the upper computer 7 combines the two-dimensional fluorescence spectra with different excitation wavelengths to form a three-dimensional fluorescence spectrum, and then obtains a corresponding classification result by using a trained machine learning algorithm. Further, the xenon lamp 1 was an L10725-01 long life 75W xenon lamp by hamamatsu photonics, wavelength distribution: 185nm to 2000nm, and the service life can reach 2000 hours.
Further, the reflection bands of the dichroic mirror 2 are 355nm, 365nm, 375nm and the like (the reflection band is from 355nm to 455nm, the wavelength interval is 10nm), the transmission wavelengths are 370-700nm, 380-600nm, 390-700nm and the like (the transmission minimum wavelength is the corresponding reflection wavelength increased by 15nm, the transmission maximum wavelength is 700nm), and the incident angle is 45 °.
Further, the collecting mirror 5 adopts a large-caliber Cassegrain telescope to converge the fluorescence signals, and the fluorescence signals are guided into the spectrometer 3 through the optical fiber. The spectrometer 3 is a USB4000 miniature optical fiber spectrometer of ocean optics company, the spectral resolution is 1nm, and the wavelength range is as follows: 350-1000 nm.
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 (2)
1. A three-dimensional fluorescence spectrum measurement system for oil species identification of an offshore oil film is characterized by comprising: the system comprises a xenon lamp (1), a plurality of dichroic mirrors (2), a spectrometer (3), a condensing lens (4), a collecting mirror (5), a first plane reflecting mirror (61), a second plane reflecting mirror (62) and an upper computer (7), wherein an electric dichroic mirror wheel carrier (21) is in wireless communication with the upper computer (7), and the upper computer (7) remotely controls the rotation period of the electric dichroic mirror wheel carrier (21);
the plurality of dichroic mirrors (2) are arranged on an electric two-phase color mirror wheel rotating frame (21) in front of a xenon lamp (1), the first plane reflecting mirror (61) and the second plane reflecting mirror (62) are arranged above and below the electric two-phase color mirror wheel rotating frame (21), the first plane reflecting mirror (61) forms an angle of 135 degrees with the horizontal direction, the second plane reflecting mirror (62) forms an angle of 45 degrees with the horizontal direction, the collecting mirror (5) is arranged in front of the first plane reflecting mirror (61), the spectrograph (3) is arranged in front of the collecting mirror (5), and the number of the condensing lenses (4) is at least 2 and the condensing lenses are arranged in front of the second plane reflecting mirror (62).
2. A method of measurement of the system of claim 1, comprising:
acquiring three-dimensional fluorescence spectrum curves of various oils, and training and classifying by using a machine learning algorithm;
the dichroic mirror (2) reflects light emitted by the xenon lamp (1) with a corresponding wavelength to form monochromatic light, changes the projection direction of the monochromatic light, and irradiates an oil film after being reflected by the second plane reflector (62) and transmitted by the condenser lens (4) so as to excite fluorescence;
fluorescence excited by the oil film is projected onto the dichroic mirror (2) along the condensing lens (4) and the second plane reflecting mirror (62) and is separated from a light path of light emitted by the xenon lamp (1), and the fluorescence passes through the dichroic mirror (2), is reflected by the first plane reflecting mirror (61) and then enters the collecting mirror (5);
the collecting mirror (5) collects, converges and transmits the transmitted fluorescent signals into the spectrometer (3);
the spectrometer (3) converts the fluorescence signal into a corresponding two-dimensional fluorescence spectrum and transmits the two-dimensional fluorescence spectrum to the upper computer (7);
the electric multi-dichroic mirror rotating wheel frame (21) rotates, the dichroic mirror (2) on the light path is changed, so that the wavelength of monochromatic light irradiating the oil film is changed, different fluorescence is excited, and the steps are repeated;
the upper computer (7) combines the two-dimensional fluorescence spectra with different excitation wavelengths to form a three-dimensional fluorescence spectrum, and then obtains a corresponding classification result by using a trained machine learning algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111117239.3A CN113670886A (en) | 2021-09-23 | 2021-09-23 | Three-dimensional fluorescence spectrum measurement system and method for oil type identification of offshore oil film |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111117239.3A CN113670886A (en) | 2021-09-23 | 2021-09-23 | Three-dimensional fluorescence spectrum measurement system and method for oil type identification of offshore oil film |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113670886A true CN113670886A (en) | 2021-11-19 |
Family
ID=78550056
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111117239.3A Pending CN113670886A (en) | 2021-09-23 | 2021-09-23 | Three-dimensional fluorescence spectrum measurement system and method for oil type identification of offshore oil film |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113670886A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4640589A (en) * | 1983-02-08 | 1987-02-03 | Spectrolyte, Inc. | Microscope illuminator |
| US20020068020A1 (en) * | 2000-11-17 | 2002-06-06 | Stuckey Jeffrey A. | Rapidly changing dichroic beamsplitter |
| CN101614829A (en) * | 2009-07-29 | 2009-12-30 | 大连海事大学 | Airborne laser-fluorescence sea oil pollution probing device |
| US20120242912A1 (en) * | 2011-03-23 | 2012-09-27 | Panasonic Corporation | Light source apparatus and image display apparatus using the same |
| CN108663342A (en) * | 2018-03-05 | 2018-10-16 | 中国船舶工业***工程研究院 | A kind of laser induced fluorescence system and method differentiated for oil kind |
-
2021
- 2021-09-23 CN CN202111117239.3A patent/CN113670886A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4640589A (en) * | 1983-02-08 | 1987-02-03 | Spectrolyte, Inc. | Microscope illuminator |
| US20020068020A1 (en) * | 2000-11-17 | 2002-06-06 | Stuckey Jeffrey A. | Rapidly changing dichroic beamsplitter |
| CN101614829A (en) * | 2009-07-29 | 2009-12-30 | 大连海事大学 | Airborne laser-fluorescence sea oil pollution probing device |
| US20120242912A1 (en) * | 2011-03-23 | 2012-09-27 | Panasonic Corporation | Light source apparatus and image display apparatus using the same |
| CN108663342A (en) * | 2018-03-05 | 2018-10-16 | 中国船舶工业***工程研究院 | A kind of laser induced fluorescence system and method differentiated for oil kind |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11073423B2 (en) | Hyperspectral sensing system and processing methods for hyperspectral data | |
| KR101507474B1 (en) | Spectrometry device for fluid analysis | |
| EP2225608B1 (en) | Device for evaluating the surface of a tyre | |
| US11650190B2 (en) | Hyperspectral sensing system and methods | |
| US20070262714A1 (en) | Illumination source including photoluminescent material and a filter, and an apparatus including same | |
| WO2018165590A1 (en) | Mobile microscopy system for air quality monitoring | |
| US20190302083A1 (en) | Hyperspectral sensing system | |
| Mogstad et al. | Spectral characteristics of coralline algae: A multi-instrumental approach, with emphasis on underwater hyperspectral imaging | |
| KR102165794B1 (en) | Determining information for defects on wafers | |
| KR102358804B1 (en) | Image Acquisition Chip, Object Imaging Recognition Device and Object Imaging Recognition Method | |
| CN108449958A (en) | Systems and methods for color detection in high throughput nucleic acid sequencing systems | |
| CN113670886A (en) | Three-dimensional fluorescence spectrum measurement system and method for oil type identification of offshore oil film | |
| CN104597011A (en) | Excitation light source drift correction device and fluorescence spectrograph | |
| CN114646627B (en) | Device for classifying and detecting sea water spilled oil by utilizing spectral analysis technology | |
| Blank et al. | Diffraction lens in imaging spectrometer | |
| CN206095942U (en) | Optic system and POCT fluorescent quantitation analysis appearance of POCT fluorescent quantitation analysis appearance | |
| FR2976662A1 (en) | Determining device for use in car to determine distribution of luminous intensity of public lighting on e.g. street, has unit processing data provided by positioning system and lux-meter that measures luminous intensity of light sources | |
| CA2586476C (en) | Apparatus and method for chemical imaging of a biological sample | |
| CN113138022B (en) | Spectral reflectance detection method, system, device and computer-readable storage medium | |
| US20080122709A1 (en) | Optical Method of Multi-Band Mixing | |
| CN114113015A (en) | Portable three-dimensional fluorescence system for oil film oil species identification | |
| CN114324281A (en) | Soil organic pollutant is fluorescence collection device for in situ monitoring analysis | |
| CN110346317A (en) | UV, visible light Fluorescence Spectrometer | |
| Möller et al. | Report on Best Practice in the utilization of sensors used for measuring nutrients, biology related optical properties, variables of the marine carbonate system, and for coastal profiling. JERICO-NEXT Deliverable D2. 5. Version 1.0 | |
| RU2299422C1 (en) | Optical-electronic spectral gas analyzer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |