CN113588631A - Residual chlorine detection method - Google Patents
Residual chlorine detection method Download PDFInfo
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- CN113588631A CN113588631A CN202110890685.1A CN202110890685A CN113588631A CN 113588631 A CN113588631 A CN 113588631A CN 202110890685 A CN202110890685 A CN 202110890685A CN 113588631 A CN113588631 A CN 113588631A
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- residual chlorine
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- standard color
- color card
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- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 title claims abstract description 81
- 229910052801 chlorine Inorganic materials 0.000 title claims abstract description 81
- 239000000460 chlorine Substances 0.000 title claims abstract description 81
- 238000001514 detection method Methods 0.000 title claims abstract description 78
- 238000012360 testing method Methods 0.000 claims abstract description 8
- 238000006243 chemical reaction Methods 0.000 claims abstract description 7
- 239000003153 chemical reaction reagent Substances 0.000 claims abstract description 6
- 238000002845 discoloration Methods 0.000 claims abstract description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 8
- 239000003086 colorant Substances 0.000 claims description 7
- 125000001309 chloro group Chemical group Cl* 0.000 claims description 6
- 238000010191 image analysis Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 abstract description 3
- 238000004659 sterilization and disinfection Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005660 chlorination reaction Methods 0.000 description 1
- 239000000498 cooling water Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000645 desinfectant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000010842 industrial wastewater Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000010841 municipal wastewater Substances 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 230000001954 sterilising effect Effects 0.000 description 1
- 239000008399 tap water Substances 0.000 description 1
- 235000020679 tap water Nutrition 0.000 description 1
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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
- G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
- G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
- G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
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- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Plasma & Fusion (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Non-Biological Materials By The Use Of Chemical Means (AREA)
- Investigating Or Analysing Materials By The Use Of Chemical Reactions (AREA)
Abstract
The invention provides a residual chlorine detection method, which comprises the following steps: step one, acquiring a standard color card image; step two, analyzing the standard color card image; thirdly, detecting the body reaction discoloration of the residual chlorine; step four, acquiring an image of a residual chlorine detection body; fifthly, analyzing the residual chlorine detection body image; and step six, color comparison. In the invention, the residual chlorine test paper and the residual chlorine reagent have low cost, and the detection cost is reduced; the cassette is convenient to carry, and the detection result can be obtained on site; the image acquisition unit acquires the image and calculates the error value of the RGB value, thereby avoiding the error caused by the individual visual difference of the inspector and improving the accuracy of detection; the cassette avoids the light from the external environment, the RGB light source provides stable and uniform light, the error caused by the light is avoided, and the detection accuracy is improved.
Description
The application is a divisional application of a patent application named as 'a residual chlorine detection method', the application date of the original application is 09 and 07 in 2018, and the application number is 201811041218.6.
Technical Field
The invention relates to the technical field of water quality detection, in particular to a residual chlorine detection method.
Background
In the chlorination disinfection or sterilization system of tap water, municipal and industrial wastewater, reuse water, industrial circulating cooling water, desalinated seawater and the like, a residual chlorine analyzer is a necessary monitoring instrument and is mainly used for testing the effect of chlorine-containing disinfectants in the water treatment process.
The current methods for detecting residual chlorine mainly comprise two methods: 1. analyzing and detecting the water quality by using a residual chlorine analyzer; 2. and comparing the colors by using residual chlorine test paper or a residual chlorine reagent. In the first method, the residual chlorine analyzer is high in cost and is not suitable for being taken out of a laboratory. In the second method, although the cost is low and the method can be taken out of a laboratory for use, the detection result often has errors due to the difference of ambient light and the individual visual difference of the inspector.
The RGB color scheme is a color standard in the industry, and various colors are obtained by changing three color channels of red (R), green (G) and blue (B) and superimposing the three color channels on each other, where RGB represents colors of the three channels of red, green and blue, and the color standard almost includes all colors that can be perceived by human vision, and is one of the most widely used color systems at present.
Disclosure of Invention
The invention aims to solve the technical problem of providing a residual chlorine detection method which has the advantages of low detection cost, convenience in carrying and accurate detection result according to the defects of the prior art.
The technical scheme of the invention is as follows: a residual chlorine detection method comprises the following steps:
step one, acquiring a standard color card image: a standard color card with a single color is fixedly arranged in the dark box, and an image acquisition unit in the dark box is used for acquiring an image of the standard color card; repeating the operation to obtain standard color card images with multiple single colors; the standard color card image is acquired under the condition that an RGB light source in the cassette is opened;
step two, standard color card image analysis: calculating the RGB value of each standard color card image by adopting an image processing module, and storing the RGB value in a detection module; each standard color card image is a cut image only containing a standard color card;
step three, detecting body reaction discoloration of residual chlorine: contacting a water sample to be detected with a residual chlorine detection body, reacting to enable the residual chlorine detection body to change color, and waiting until the reaction is stable;
step four, acquiring residual chlorine detection body images: fixedly placing a chlorine residue detection body in a dark box, turning on an RGB light source in the dark box, and acquiring an image of the chlorine residue detection body by using an image acquisition unit in the dark box;
step five, analyzing the residual chlorine detection body image: calculating the RGB value of the residual chlorine detection body image by adopting an image processing module; the residual chlorine detection body image is a cut image only containing a residual chlorine detection body;
step six, color comparison: calculating an error value between the RGB value of the residual chlorine detection image and the RGB value of the standard color card image through a detection module to obtain the total residual chlorine concentration in the water sample to be detected; the total residual chlorine concentration in the water sample to be detected is the total residual chlorine concentration corresponding to the standard color card image with the minimum error value; specifically, the error value calculation formula is q [ | (R detected-R labeled) |/R labeled + | (G detected-G labeled) |/G labeled + | (B detected-B labeled) |/B labeled ] × 100%; wherein, R detection, G detection and B detection are respectively RGB values corresponding to the residual chlorine detection image, and R mark, G mark and B mark are respectively RGB values corresponding to the standard color card image.
Optionally, the residual chlorine detector is a residual chlorine test paper or a residual chlorine reagent.
Optionally, in the first step and the fourth step, the standard color card and the residual chlorine detecting body are placed at the same position and angle, and the image acquiring unit and the RGB light source are kept at the same position and angle.
Optionally, the image acquisition unit is a CCD camera, the RGB light source is an RGB LED lamp, and the image processing module is image processing software.
Optionally, the image processing software is Adobe Photoshop or coreldraw or american show.
Compared with the prior art, the invention has the following beneficial effects: (1) the residual chlorine test paper and the residual chlorine reagent have low cost, and the detection cost is reduced; (2) the cassette is convenient to carry, and the detection result can be obtained on site; (3) the image acquisition unit acquires the image and calculates the error value of the RGB value, thereby avoiding the error caused by the individual visual difference of the inspector and improving the accuracy of detection; (4) the cassette prevents light from entering the external environment, the RGB light source provides stable and uniform light, errors caused by the light are avoided, and the detection accuracy is improved; (5) in the first step and the fourth step, the positions and angles of the standard color card and the residual chlorine detection body are consistent, and the positions and angles of the image acquisition unit and the RGB light source are kept consistent, so that the influence of other variables on the detection result is avoided; (6) the first detection needs to be carried out in the first step and the second step so as to obtain and store the RGB value of the standard color card image; in the subsequent detection, only the steps from the third step to the sixth step are needed; convenient and convenient operation.
Drawings
FIG. 1 is a flow chart of the residual chlorine detection method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below.
The embodiment provided by the invention is a residual chlorine detection method, as shown in figure 1, comprising the following steps:
step one, acquiring a standard color card image: fixedly placing a standard color card with a single color in a dark box, turning on an RGB light source in the dark box, and acquiring a standard color card image by using an image acquisition unit in the dark box; and repeating the operation to obtain the standard color card images of a plurality of single colors.
Step two, standard color card image analysis: cutting the standard color card image by using an image processing module, and only leaving an image containing the standard color card; and calculating the image by using an image processing module to obtain the RGB value of each standard color card, and storing the RGB values in a detection module.
Step three, detecting body reaction discoloration of residual chlorine: and (3) contacting the water sample to be detected with the residual chlorine detecting body to enable the residual chlorine detecting body to change color, and waiting until the reaction is stable. The residual chlorine detecting body is a residual chlorine test strip or a residual chlorine reagent, and in the present embodiment, the residual chlorine detecting body is preferably a residual chlorine test strip.
Step four, acquiring residual chlorine detection body images: the chlorine residue detection body is fixedly placed in the dark box, the RGB light source in the dark box is turned on, and the image acquisition unit in the dark box is used for acquiring the image of the chlorine residue detection body. In the first step and the fourth step, the positions and angles of the standard color card and the residual chlorine detection body are consistent, and the positions and angles of the image acquisition unit and the RGB light source are kept consistent.
Step five, analyzing the residual chlorine detection body image: cutting the residual chlorine detection body image by using an image processing module, and only leaving an image containing a residual chlorine detection body; and calculating the image by using an image processing module to obtain the RGB value of the residual chlorine detection body.
Step six, color comparison: and the detection module calculates the error value of the RGB value of the residual chlorine detection image and the RGB value of the standard color card image, and the total residual chlorine concentration corresponding to the standard color card image with the minimum error value is the total residual chlorine concentration in the water sample to be detected. Wherein, the difference value calculation formula is q [ | (R detected-R marked) |/R marked + | (G detected-G marked) |/G marked + | (B detected-B marked) |/B marked ]. 100%; wherein, R detection, G detection and B detection are respectively RGB values corresponding to the residual chlorine detection image, and R mark, G mark and B mark are respectively RGB values corresponding to the standard color card image.
The image acquisition unit is a CCD camera, the RGB light source is an RGB LED lamp, and the image processing module is image processing software. The image processing software can be drawing software commonly used by Adobe Photoshop, coreldraw, American show and the like. In actual operation, the image processing software and the detection module are installed in an electronic device, which may be a notebook computer, a mobile phone, etc. Meanwhile, the electronic equipment is connected with the image acquisition unit through the Bluetooth module.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (5)
1. A residual chlorine detection method is characterized by comprising the following steps:
step one, acquiring a standard color card image: a standard color card with a single color is fixedly arranged in the dark box, and an image acquisition unit in the dark box is used for acquiring an image of the standard color card; repeating the operation to obtain standard color card images with multiple single colors; the standard color card image is acquired under the condition that an RGB light source in the cassette is opened;
step two, standard color card image analysis: calculating the RGB value of each standard color card image by adopting an image processing module, and storing the RGB value in a detection module; each standard color card image is a cut image only containing a standard color card;
step three, detecting body reaction discoloration of residual chlorine: contacting a water sample to be detected with a residual chlorine detection body, reacting to enable the residual chlorine detection body to change color, and waiting until the reaction is stable;
step four, acquiring residual chlorine detection body images: fixedly placing a chlorine residue detection body in a dark box, turning on an RGB light source in the dark box, and acquiring an image of the chlorine residue detection body by using an image acquisition unit in the dark box;
step five, analyzing the residual chlorine detection body image: calculating the RGB value of the residual chlorine detection body image by adopting an image processing module; the residual chlorine detection body image is a cut image only containing a residual chlorine detection body;
step six, color comparison: calculating an error value between the RGB value of the residual chlorine detection image and the RGB value of the standard color card image through a detection module to obtain the total residual chlorine concentration in the water sample to be detected; the total residual chlorine concentration in the water sample to be detected is the total residual chlorine concentration corresponding to the standard color card image with the minimum error value; specifically, the error value calculation formula is q [ | (R detected-R labeled) |/R labeled + | (G detected-G labeled) |/G labeled + | (B detected-B labeled) |/B labeled ] × 100%; wherein, R detection, G detection and B detection are respectively RGB values corresponding to the residual chlorine detection image, and R mark, G mark and B mark are respectively RGB values corresponding to the standard color card image.
2. The method for detecting residual chlorine according to claim 1, wherein the residual chlorine detector is a residual chlorine test strip or a residual chlorine reagent.
3. The method for detecting residual chlorine according to claim 1, wherein in the first step and the fourth step, the standard color chart is placed at a position and at an angle consistent with those of the residual chlorine detecting body, and the image obtaining unit is placed at a position and at an angle consistent with those of the RGB light source.
4. The residual chlorine detection method according to claim 1, wherein the image acquisition unit is a CCD camera, the RGB light source is an RGB LED lamp, and the image processing module is image processing software.
5. The residual chlorine detection method according to claim 4, wherein the image processing software is Adobe Photoshop or coreldraw or American show.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110890685.1A CN113588631A (en) | 2018-09-07 | 2018-09-07 | Residual chlorine detection method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110890685.1A CN113588631A (en) | 2018-09-07 | 2018-09-07 | Residual chlorine detection method |
| CN201811041218.6A CN109085162A (en) | 2018-09-07 | 2018-09-07 | A kind of chlorine residue detection method |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811041218.6A Division CN109085162A (en) | 2018-09-07 | 2018-09-07 | A kind of chlorine residue detection method |
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| CN113588631A true CN113588631A (en) | 2021-11-02 |
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| CN201811041218.6A Pending CN109085162A (en) | 2018-09-07 | 2018-09-07 | A kind of chlorine residue detection method |
| CN202110890685.1A Pending CN113588631A (en) | 2018-09-07 | 2018-09-07 | Residual chlorine detection method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114199862A (en) * | 2021-11-26 | 2022-03-18 | 中国汽车技术研究中心有限公司 | Multi-test-paper detection method, test paper box and multi-test-paper detection system |
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| CN113933293A (en) * | 2021-11-08 | 2022-01-14 | 中国联合网络通信集团有限公司 | Concentration detection method and device |
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| CN109085162A (en) | 2018-12-25 |
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Application publication date: 20211102 |