CN109975222B - Full-spectrum water quality detection automatic calibration and window cleaning reminding system - Google Patents
Full-spectrum water quality detection automatic calibration and window cleaning reminding system Download PDFInfo
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- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; 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
- G01N21/274—Calibration, base line adjustment, drift correction
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- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N21/03—Cuvette constructions
- G01N21/0303—Optical path conditioning in cuvettes, e.g. windows; adapted optical elements or systems; path modifying or adjustment
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- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N21/15—Preventing contamination of the components of the optical system or obstruction of the light path
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- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
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- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N21/15—Preventing contamination of the components of the optical system or obstruction of the light path
- G01N2021/155—Monitoring cleanness of window, lens, or other parts
- G01N2021/157—Monitoring by optical means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/127—Calibration; base line adjustment; drift compensation
Abstract
The application belongs to the field of water quality detection, and particularly relates to an automatic calibration and window cleaning reminding system for full-spectrum water quality detection, which comprises a water quality detection device and a calibration reminding device, wherein the water quality detection device comprises a wide-spectrum light source and a spectrometer which are positioned at two ends, and a first window and a second window are arranged between the wide-spectrum light source and the spectrometer; the calibration reminding system comprises a laser and a photoelectric detector which are positioned at two ends, a first window and a second window are positioned between the laser and the photoelectric detector, and the light path of the emergent light beam of the laser is different from that of the emergent light of the wide-spectrum light source. The application monitors the pollution condition of the window surface by introducing auxiliary laser and matching with the original wide-spectrum light measurement of the system. When the pollution degree is light, the water quality detection result data based on the broad spectrum light can be corrected according to the monitoring result, the measurement inaccuracy caused by window pollution is eliminated, and the system is automatically calibrated equivalently.
Description
Technical Field
The application belongs to the water quality testing field, especially relates to a full gloss register for easy reference water quality testing automatic calibration and window wash warning system.
Background
When the full spectrum method is used for detecting water quality, a water sample is positioned between windows. After long-time use, the window can be polluted, and the problem is more serious particularly for a full-spectrum water quality sensor used in the field. When the window is polluted, pollutants, silt and the like deposited on the window have great influence on the measurement of turbidity, COD and the like, and the measurement precision is seriously influenced. Typically, the window needs to be cleaned periodically to ensure the accuracy of the measurement. At present, methods for automatically realizing full-spectrum water quality detection and calibration and deducting influences caused by window pollution are lacked, and a quantitative measurement mode and cleaning reminding of window pollution degree are also lacked.
The prior related patents such as patent application No. CN201010582703.1, application date 20101210, entitled "a device for cleaning optical window by using ultrasonic wave", have the technical scheme that: the invention discloses a device for cleaning an optical window by utilizing ultrasonic waves, which comprises a shell and an ultrasonic device arranged in the shell through a sealing device; the ultrasonic device comprises a controller, an inverter, an ultrasonic generator and an ultrasonic transducer which are sequentially connected through a circuit, wherein the controller is also connected with the ultrasonic generator through the circuit; the optical window is arranged in the range of the cylindrical body with the vibration surface of the ultrasonic transducer as the bottom surface.
Although the above patent improves how to clean the optical window, it only passively performs the cleaning operation, and cannot detect whether the window is contaminated, how much the contamination level is, whether cleaning is required, and the like, through the device, and cannot realize the water quality detection calibration function.
Disclosure of Invention
In order to overcome the above problems in the prior art, an automatic calibration and window cleaning reminding system for full spectrum water quality detection is proposed.
In order to achieve the technical effects, the technical scheme of the application is as follows:
full gloss register for easy reference water quality testing self-calibration and window wash remind system, its characterized in that: the water quality detection device comprises a wide-spectrum light source and a spectrometer which are positioned at two ends, a first window and a second window are arranged between the wide-spectrum light source and the spectrometer, and light emitted by the wide-spectrum light source sequentially passes through the first window and the second window; the calibration reminding system comprises a laser and a photoelectric detector which are positioned at two ends, the first window and the second window are positioned between the laser and the photoelectric detector, and emergent light beams of the laser pass through the first window and the second window; the light path of the laser emergent beam is different from that of the light emitted by the wide-spectrum light source.
Furthermore, the optical path of the first window and the second window in the water quality detection device is L1(ii) a I.e. the optical path of the light emitted by the wide-spectrum light source is L1. First window positioned in calibration reminding deviceAnd the optical path length of the second window is L2(ii) a I.e. the optical path of the outgoing beam of the laser is L2. And L is2≠L1。
Furthermore, a first window and a second window in the water quality detection device and a first window and a second window in the calibration reminding device are two groups of independent windows. Namely, a group of first windows and second windows are arranged between the broad spectrum light source and the spectrometer, and another group of first windows and second windows are arranged between the laser and the photoelectric detector.
The system can measure the light energy loss caused by window pollution, and can set a corresponding threshold value according to the requirement, namely when the energy loss does not exceed the threshold value, the measured data is calibrated through the detection result, and when the energy loss exceeds the threshold value, a cleaning prompt is sent out in a mode of but not limited to short messages and the like.
The working principle of the laser-assisted full-spectrum water quality detection automatic calibration and window cleaning reminding system is as follows:
step 1, calibrating a system, acquiring responsivity of a photoelectric detector and a spectrometer, and calculating a ratio R of the responsivity;
step 2, measuring a standard sample with known absorbance to obtain a value B of the system; b is a quantity defined according to a formula for convenience;
step 3, calculating the absorbance alpha of the water sample at the wavelength corresponding to the laser through the output of the photoelectric detector and the spectrometer;
step 4, calculating the light loss a brought by the window through the absorbance alpha at the wavelength obtained by calculation, and comparing the value with a set threshold value to determine whether to remind of window cleaning; the calculation here can be automated using a microprocessor.
And 5, calculating water quality parameters under the influence of the window by using the wide spectrum data obtained by the spectrometer through the obtained optical loss a.
Further, the step 1 specifically comprises:
and R is the ratio of the responsivity of the photoelectric detector and the spectrometer to the light corresponding to the laser wavelength, and is obtained during instrument calibration.
Further, the step 2 specifically includes:
the emergent light beam of the laser device sequentially passes through the first window and the water sample to be detected, and after the second window, the power of the laser incident to the detector is as follows:
Plaser_out=Plaser*(1-a)2*exp(-α*L2) Equation 1
Wherein P islaserThe power of the emergent beam of the laser, a is the proportion of light loss caused by pollution, alpha is the absorbance of the water to be measured to the laser wavelength, and L2The optical distance between a first window and a second window in the calibration reminding device is measured; wherein a and α are unknown quantities;
after light emitted by the wide-spectrum light source sequentially passes through the first window, the water sample to be detected and the second window, part of power of the wide-spectrum light incident to the spectrometer and having the same wavelength as an emergent light beam of the laser is as follows:
Plamp_out=Plamp*(1-a)2*exp(-α*L1) Equation 2
The ratio of the laser output beam power to the power of the portion of the broad spectrum light having the same wavelength as the laser output beam is obtained by dividing equation 1 by equation 2, i.e.:
Plaser_out/Plamp_out=[Plaser*(1-a)2*exp(-α*L2)]/[Plamp*(1-a)2*exp(-α*L1)]
=(Plaser/Plamp)*exp[-α*(L2-L1)]equation 3
The ratio of the output signals of the photodetector and the spectrometer at the corresponding wavelengths is A,
A=R*Plaser_out/Plamp_out；
wherein R is the ratio of responsivity of the photoelectric detector and the spectrometer to the light corresponding to the laser wavelength, and R is multiplied by the left side and the right side of the formula 3 at the same time, so that the wavelength of the laser beam is adjusted
A=R*(Plaser/Plamp)*exp[-α*(L2-L1)]Equation 4
Let B = R (P)laser/Plamp) Then equation 4 canIs written as
A=B*exp[-α*(L2-L1)]Equation 5
When the full-spectrum water quality sensor is used for calibration, a water sample with known absorbance alpha can be used for measurement, and the optical path L is used1And L2As is known, a is the measurement output, so the value of the system B can be accurately obtained.
Further, the step 3 specifically includes:
when measuring actual water sample, only need measure A's change, can calculate the absorbance of water sample to this wavelength this moment, do:
α=(L2-L1) Ln (a/B) formula 6
As can be seen from equation 6, the calculation is not affected by the window's light absorption, but only related to the absorbance of the water sample itself.
Further, the step 4 specifically includes:
as can be seen from equation 1, the ratio of light loss in the first window and the second window (assuming that the two windows have the same effect) is:
when the absorbance of a water sample is known, this value can be accurately calculated.
Further, the step 5 specifically includes:
when the sensor is used, the value a is calculated while water quality is measured each time, a threshold value is set for the value a, and when the value a exceeds the set threshold value range, the signal attenuation caused by window pollution is too large, and window cleaning is prompted; by the light loss proportion, wide-spectrum light data obtained by measurement of a spectrometer can be processed, and water quality parameters under the influence of loss caused by a window are eliminated.
The reminding mode of the calibration reminding device includes but is not limited to the existing informing modes such as short message, alarm and the like.
The application has the advantages that:
the application monitors the pollution condition of the window surface by introducing auxiliary laser and matching with the original wide-spectrum light measurement of the system. When the pollution degree is light, the water quality detection result data based on the broad spectrum light can be corrected according to the monitoring result, the measurement inaccuracy caused by window pollution is eliminated, and the system is automatically calibrated equivalently. When the pollution degree is very high, the automatic calibration can not meet the requirement, and the window cleaning is reminded to be needed.
Drawings
FIG. 1 is a schematic diagram of the system of the present application.
In the drawings: 1-laser, 2-laser emergent beam, 3-underwater laser, 4-laser incident to a detector, 5-photoelectric detector, 6-wide spectrum light source, 7-light emergent from the wide spectrum light source, 8-underwater wide spectrum light, 9-wide spectrum light incident to a spectrometer, 10-spectrometer, 11-first window and 12-second window.
Detailed Description
Example 1
The full-spectrum water quality detection automatic calibration and window cleaning reminding system comprises a water quality detection device and a calibration reminding device which are arranged side by side, wherein the water quality detection device comprises a wide-spectrum light source and a spectrometer which are positioned at two ends, a first window and a second window are arranged between the wide-spectrum light source and the spectrometer, and light emitted by the wide-spectrum light source sequentially passes through the first window and the second window; the calibration reminding system comprises a laser and a photoelectric detector which are positioned at two ends, the first window and the second window are positioned between the laser and the photoelectric detector, and emergent light beams of the laser pass through the first window and the second window; the light path of the laser emergent beam is different from that of the light emitted by the wide-spectrum light source.
The laser outgoing beam output by the laser shown in fig. 1 enters a water sample to be detected after passing through a first window, the beam is the underwater laser shown in the figure, and the beam is changed into laser incident to a detector after passing through a second window and then is incident to a photoelectric detector. The first window and the second window can bring loss of incident laser energy through absorption and scattering under the pollution condition, the water sample to be detected can absorb the light energy, and the absorbance of the water sample is related to the pollution condition of water. The wide-spectrum light source shown in the figure outputs light emitted by the parallel wide-spectrum light source after being shaped by a light beam shaping part, the light enters a water sample to be detected after passing through a first window to become in-water wide-spectrum light, and the light becomes in-water wide-spectrum light entering a spectrometer after passing through a second window to enter the spectrometer.
Example 2
The working principle of the laser-assisted full-spectrum water quality detection automatic calibration and window cleaning reminding system is as follows:
step 1, calibrating a system, acquiring responsivity of a photoelectric detector and a spectrometer, and calculating a ratio R of the responsivity;
step 2, measuring a standard sample with known absorbance to obtain a value B of the system; b is a quantity defined according to a formula for convenience;
step 3, calculating the absorbance alpha of the water sample at the wavelength corresponding to the laser through the output of the photoelectric detector and the spectrometer;
step 4, calculating the light loss a brought by the window through the absorbance alpha at the wavelength obtained by calculation, and comparing the value with a set threshold value to determine whether to remind of window cleaning; the calculation here can be automated using a microprocessor.
And 5, calculating water quality parameters under the influence of the window by using the wide spectrum data obtained by the spectrometer through the obtained optical loss a.
Example 3
The working principle of the laser-assisted full-spectrum water quality detection automatic calibration and window cleaning reminding system is as follows:
step 1, calibrating a system, acquiring responsivity of a photoelectric detector and a spectrometer, and calculating a ratio R of the responsivity;
step 2, measuring a standard sample with known absorbance to obtain a value B of the system; b is a quantity defined according to a formula for convenience;
step 3, calculating the absorbance alpha of the water sample at the wavelength corresponding to the laser through the output of the photoelectric detector and the spectrometer;
step 4, calculating the light loss a brought by the window through the absorbance alpha at the wavelength obtained by calculation, and comparing the value with a set threshold value to determine whether to remind of window cleaning; the calculation here can be automated using a microprocessor.
And 5, calculating water quality parameters under the influence of the window by using the wide spectrum data obtained by the spectrometer through the obtained optical loss a.
Further, the step 1 specifically comprises:
and R is the ratio of the responsivity of the photoelectric detector and the spectrometer to the light corresponding to the laser wavelength, and is obtained during instrument calibration.
Further, the step 2 specifically includes:
the emergent light beam of the laser device sequentially passes through the first window and the water sample to be detected, and after the second window, the power of the laser incident to the detector is as follows:
Plaser_out=Plaser*(1-a)2*exp(-α*L2) Equation 1
Wherein P islaserThe power of the emergent beam of the laser, a is the proportion of light loss caused by pollution, alpha is the absorbance of the water to be measured to the laser wavelength, and L2The optical distance between a first window and a second window in the calibration reminding device is measured; wherein a and α are unknown quantities;
after light emitted by the wide-spectrum light source sequentially passes through the first window, the water sample to be detected and the second window, part of power of the wide-spectrum light incident to the spectrometer and having the same wavelength as an emergent light beam of the laser is as follows:
Plamp_out=Plamp*(1-a)2*exp(-α*L1) Equation 2
The ratio of the laser output beam power to the power of the portion of the broad spectrum light having the same wavelength as the laser output beam is obtained by dividing equation 1 by equation 2, i.e.:
Plaser_out/Plamp_out=[Plaser*(1-a)2*exp(-α*L2)]/[Plamp*(1-a)2*exp(-α*L1)]
=(Plaser/Plamp)*exp[-α*(L2-L1)]equation 3
The ratio of the output signals of the photodetector and the spectrometer at the corresponding wavelengths is A,
A=R*Plaser_out/Plamp_out；
wherein R is the ratio of responsivity of the photoelectric detector and the spectrometer to the light corresponding to the laser wavelength, and R is multiplied by the left side and the right side of the formula 3 at the same time, so that the wavelength of the laser beam is adjusted
A=R*(Plaser/Plamp)*exp[-α*(L2-L1)]Equation 4
Let B = R (P)laser/Plamp) Then equation 4 can be written as
A=B*exp[-α*(L2-L1)]Equation 5
When the full-spectrum water quality sensor is used for calibration, a water sample with known absorbance alpha can be used for measurement, and the optical path L is used1And L2As is known, a is the measurement output, so the value of the system B can be accurately obtained.
Further, the step 3 specifically includes:
when measuring actual water sample, only need measure A's change, can calculate the absorbance of water sample to this wavelength this moment, do:
α=(L2-L1) Ln (a/B) formula 6
As can be seen from equation 6, the calculation is not affected by the window's light absorption, but only related to the absorbance of the water sample itself.
Further, the step 4 specifically includes:
as can be seen from equation 1, the ratio of light loss in the first window and the second window (assuming that the two windows have the same effect) is:
when the absorbance of a water sample is known, this value can be accurately calculated.
Further, the step 5 specifically includes:
when the sensor is used, the value a is calculated while water quality is measured each time, a threshold value is set for the value a, and when the value a exceeds the set threshold value range, the signal attenuation caused by window pollution is too large, and window cleaning is prompted; by the light loss proportion, wide-spectrum light data obtained by measurement of a spectrometer can be processed, and water quality parameters under the influence of loss caused by a window are eliminated.
The reminding mode of the calibration reminding device includes but is not limited to the existing informing modes such as short message, alarm and the like.
The application has the advantages that:
the application monitors the pollution condition of the window surface by introducing auxiliary laser and matching with the original wide-spectrum light measurement of the system. When the pollution degree is light, the water quality detection result data based on the broad spectrum light can be corrected according to the monitoring result, the measurement inaccuracy caused by window pollution is eliminated, and the system is automatically calibrated equivalently. When the pollution degree is very high, the automatic calibration can not meet the requirement, and the window cleaning is reminded to be needed.
Claims (9)
1. Full gloss register for easy reference water quality testing self-calibration and window wash remind system, its characterized in that: the water quality detection device comprises a wide-spectrum light source and a spectrometer which are positioned at two ends, a first window and a second window are arranged between the wide-spectrum light source and the spectrometer, and light emitted by the wide-spectrum light source sequentially passes through the first window and the second window; the calibration reminding device comprises a laser and a photoelectric detector which are positioned at two ends, the first window and the second window are positioned between the laser and the photoelectric detector, and emergent light beams of the laser pass through the first window and the second window; the optical paths of the light beam emitted by the laser and the light emitted by the wide-spectrum light source are different;
the working principle of the laser-assisted full-spectrum water quality detection automatic calibration and window cleaning reminding system is as follows:
step 1, calibrating a system, acquiring responsivity of a photoelectric detector and a spectrometer, and calculating a ratio R of the responsivity;
step 2, measuring a standard sample with known absorbance to obtain a value B of the system; b is a quantity defined according to a formula; let B = R (P)laser/Plamp) Wherein R is the ratio of the responsivity of the photodetector and spectrometer to the light corresponding to the wavelength of the laser, PlaserFor laser output beam power, PlampIs the power of the broad spectrum light at that wavelength;
step 3, calculating the absorbance alpha of the water sample at the wavelength corresponding to the laser through the output of the photoelectric detector and the spectrometer;
step 4, calculating the light loss a brought by the window through the absorbance alpha at the wavelength obtained by calculation, and comparing the value with a set threshold value to determine whether to remind of window cleaning;
and 5, calculating water quality parameters under the influence of the window by using the wide spectrum data obtained by the spectrometer through the obtained optical loss a.
2. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein: the optical path of the first window and the second window in the water quality detection device is L1(ii) a The optical distance between the first window and the second window in the calibration reminding device is L2And L is2≠L1。
3. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein: the first window and the second window in the water quality detection device and the first window and the second window in the calibration reminding device are two groups of independent windows.
4. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein:
the step 1 specifically comprises the following steps:
and R is the ratio of the responsivity of the photoelectric detector and the spectrometer to the light corresponding to the laser wavelength, and is obtained during instrument calibration.
5. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein:
the step 2 specifically comprises the following steps:
the emergent light beam of the laser sequentially passes through the first window and the water sample to be detected, and after the second window, the power of the laser incident to the detector is as follows:
Plaser_out=Plaser*(1-a)2*exp(-α*L2) Equation 1
Wherein a is the optical loss ratio caused by pollution, alpha is the absorbance of the water to be measured to the laser wavelength, and L2The optical distance between a first window and a second window in the calibration reminding device is measured; wherein a and α are unknown quantities;
after light emitted by the wide-spectrum light source sequentially passes through the first window, the water sample to be detected and the second window, part of power of the wide-spectrum light incident to the spectrometer and having the same wavelength as an emergent light beam of the laser is as follows:
Plamp_out=Plamp*(1-a)2*exp(-α*L1) Equation 2
The ratio of the laser output beam power to the power of the portion of the broad spectrum light having the same wavelength as the laser output beam is obtained by dividing equation 1 by equation 2, i.e.:
Plaser_out/Plamp_out=[Plaser*(1-a)2*exp(-α*L2)]/[Plamp*(1-a)2*exp(-α*L1)]
=(Plaser/Plamp)*exp[-α*(L2-L1)]equation 3
The ratio of the output signals of the photodetector and the spectrometer at the corresponding wavelengths is A,
A=R*Plaser_out/Plamp_out；
multiplying the left side and the right side of the formula 3 by R simultaneously, then
A=R*(Plaser/Plamp)*exp[-α*(L2-L1)]Equation 4
Since B = R (P)laser/Plamp) Then equation 4 is written as
A=B*exp[-α*(L2-L1)]Equation 5
When the full-spectrum water quality sensor is used for calibration, a water sample with known absorbance alpha is used for measurement, and the optical path L is used1And L2As is known, a is the measurement output, so the value of the system B can be accurately obtained.
6. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein:
the step 3 specifically comprises the following steps:
when measuring actual water sample, measure A's change, calculate the absorbance of this wavelength of water sample this moment, do:
α=(L2-L1) Ln (a/B) formula 6
As can be seen from equation 6, the calculation is not affected by the window's light absorption, but is only related to the absorbance of the water sample itself.
7. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein: the step 4 specifically comprises the following steps:
assuming that the effects of the two windows are identical, the first window and the second window
The ratio of optical loss of (a) is:
this value can be accurately calculated when the absorbance of the water sample is known.
8. The full-spectrum water quality detection automatic calibration and window cleaning reminding system as claimed in claim 1, wherein:
the step 5 specifically comprises the following steps:
when the sensor is used, the value a is calculated while the water quality is measured each time, a threshold value is set for the value a, when the value a exceeds the set threshold value range, the signal attenuation caused by window pollution is too large, and the window cleaning is prompted; by the light loss proportion, wide-spectrum light data obtained by measurement of a spectrometer can be processed, and water quality parameters under the influence of loss caused by a window are eliminated.
9. The full spectrum water quality detection automatic calibration and window cleaning reminder system of any one of claims 1-8, characterized in that: the reminding mode of the calibration reminding device includes but is not limited to short message and alarm.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201488943U (en) * | 2009-08-10 | 2010-05-26 | 重庆川仪自动化股份有限公司 | Intelligentized turbidity analyzer |
| CN102445437A (en) * | 2010-09-30 | 2012-05-09 | 中国科学院电子学研究所 | Method and device for measuring turbidity |
| CN102928390A (en) * | 2012-09-27 | 2013-02-13 | 中国农业大学 | On-line detection method and device for chlorophyll concentration in water body based on two detectors |
| WO2013188914A1 (en) * | 2012-06-21 | 2013-12-27 | The University Of Sydney | Sensitive rapid response optical sensor and method |
| CN106999994A (en) * | 2014-10-17 | 2017-08-01 | 妮玛·纳巴维 | Automatically cleaning optical sensor module |
| US10132787B2 (en) * | 2013-09-05 | 2018-11-20 | Haffmans B.V. | Device for optically determining the concentration of alcohol and carbohydrates in a liquid sample |
-
2019
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201488943U (en) * | 2009-08-10 | 2010-05-26 | 重庆川仪自动化股份有限公司 | Intelligentized turbidity analyzer |
| CN102445437A (en) * | 2010-09-30 | 2012-05-09 | 中国科学院电子学研究所 | Method and device for measuring turbidity |
| WO2013188914A1 (en) * | 2012-06-21 | 2013-12-27 | The University Of Sydney | Sensitive rapid response optical sensor and method |
| CN102928390A (en) * | 2012-09-27 | 2013-02-13 | 中国农业大学 | On-line detection method and device for chlorophyll concentration in water body based on two detectors |
| US10132787B2 (en) * | 2013-09-05 | 2018-11-20 | Haffmans B.V. | Device for optically determining the concentration of alcohol and carbohydrates in a liquid sample |
| CN106999994A (en) * | 2014-10-17 | 2017-08-01 | 妮玛·纳巴维 | Automatically cleaning optical sensor module |
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