CN117975042A - Microbial flocculant adding system for wastewater treatment - Google Patents
Microbial flocculant adding system for wastewater treatment Download PDFInfo
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- CN117975042A CN117975042A CN202410376848.8A CN202410376848A CN117975042A CN 117975042 A CN117975042 A CN 117975042A CN 202410376848 A CN202410376848 A CN 202410376848A CN 117975042 A CN117975042 A CN 117975042A
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- wastewater
- image
- flocculant
- cleanliness
- wastewater treatment
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- 238000004065 wastewater treatment Methods 0.000 title claims abstract description 36
- 230000000813 microbial effect Effects 0.000 title claims abstract description 16
- 239000002351 wastewater Substances 0.000 claims abstract description 78
- 230000003749 cleanliness Effects 0.000 claims abstract description 41
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 27
- 230000016615 flocculation Effects 0.000 claims abstract description 23
- 238000005189 flocculation Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 20
- 239000008394 flocculating agent Substances 0.000 claims abstract description 5
- 238000007599 discharging Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 18
- 238000007405 data analysis Methods 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 9
- 238000003708 edge detection Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 5
- 101100280063 Drosophila melanogaster E(spl)malpha-BFM gene Proteins 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000003905 agrochemical Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
Classifications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
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- Separation Of Suspended Particles By Flocculating Agents (AREA)
Abstract
The invention discloses a microbial flocculant adding system for wastewater treatment, which belongs to the technical field of wastewater treatment and specifically comprises the following steps: collecting a wastewater image of the flocculant after being thrown into a wastewater treatment tank in real time; converting the wastewater image into a gray image, dividing the gray image into a flocculation area and a water area, and judging the cleanliness of the water according to the gray value of the pixel points of the water area; after the numerical value of the cleanliness is kept stable, acquiring the current cleanliness, comparing the cleanliness with the target cleanliness, and continuously adding a flocculating agent into the wastewater treatment tank if the cleanliness is smaller than the target cleanliness; if the wastewater to be treated is greater than the target cleanliness, acquiring time t from the initial moment of adding the flocculant to the current moment, and continuously adding the wastewater to be treated into the flocculation tank when t is smaller than a preset threshold value; when t is greater than a preset threshold, discharging the wastewater from the flocculation tank, and ending the wastewater treatment process; the invention realizes the automatic control of the addition of the flocculant for wastewater treatment.
Description
Technical Field
The invention relates to the technical field of wastewater treatment, in particular to a microbial flocculant adding system for wastewater treatment.
Background
In the wastewater treatment process, the addition amount of the microbial flocculant has an important influence on the treatment effect. However, in the treatment of agricultural chemical wastewater by the flocculation method, the concentration of wastewater is not necessarily the same even though the wastewater is different due to the change of the nature and environmental conditions, so that it has been a technical problem how to accurately control the addition amount of the flocculant when the flocculant is used for treating wastewater. The traditional manual control mode is not only low in efficiency, but also difficult to realize accurate control. Therefore, a system capable of automatically and accurately controlling the addition amount of the flocculant is needed.
In recent years, the development of image processing and data analysis techniques has made it possible to solve this problem. Through real-time collection of wastewater images, a flocculation area and a water area are identified by utilizing an image processing technology, and then whether flocculating agents need to be continuously added or not is judged according to the cleanliness of the water area.
Disclosure of Invention
The invention aims to provide a microbial flocculant adding system for wastewater treatment, which solves the following technical problems:
When using flocculation to treat pesticide wastewater, because the nature of the wastewater and the environmental conditions are changed, even if the concentration of different wastewater is not necessarily the same, how to accurately control the adding amount of the flocculant is always a technical problem when using the flocculant to treat the wastewater.
The aim of the invention can be achieved by the following technical scheme:
A wastewater treatment microbial flocculant dosing system comprising:
The image acquisition module is used for acquiring the wastewater image of the flocculant after being thrown into the wastewater treatment tank in real time;
the image processing module is used for converting the wastewater image into a gray image, preprocessing the gray image, dividing the gray image into a flocculation area and a water area, and judging the cleanliness Q of the water according to the gray value of the pixel points of the water area;
the data analysis module is used for acquiring the current cleanliness Q1 after the value of the cleanliness Q is kept stable, comparing the cleanliness Q1 with the target cleanliness, and continuously adding a flocculating agent into the wastewater treatment tank if the cleanliness Q1 is smaller than the target cleanliness; if Q1 is greater than the target cleanliness, acquiring time t from the initial moment of adding the flocculant to the current moment, and continuously adding wastewater to be treated into the flocculation tank when t is smaller than a preset threshold value; and when t is greater than a preset threshold value, discharging the wastewater from the flocculation tank, and ending the wastewater treatment process.
As a further scheme of the invention: the preprocessing process of the image processing module is as follows:
Performing primary noise reduction on the gray level image, performing edge detection on the gray level image after primary noise reduction, dividing a wastewater treatment tank from other areas, performing binarization treatment on the gray level image after edge detection, generating a binarized image, and performing secondary noise reduction on the binarized image.
As a further scheme of the invention: the process of dividing the flocculation area and the water body area in the image processing module comprises the following steps:
And selecting a black communication area in the binarized image, identifying the shape of the black communication area, excluding preset unselected shapes, wherein the unselected shapes are round, square and polygonal, marking the black communication area with the pixel area larger than a preset threshold value a as a flocculation area, and marking the rest areas as water areas.
As a further scheme of the invention: the process of judging the cleanliness Q by the image processing module is as follows:
and counting the number m of connected areas with the area lower than a preset threshold value a in the water body area and the number n of all black pixel points in the m connected areas, wherein Q=malpha+nβ, wherein alpha and β are preset coefficients, and alpha is larger than β.
As a further scheme of the invention: in the data analysis module, when t is smaller than a preset threshold value, a wastewater image and a flocculant adding amount x at the initial time of adding the flocculant into the current wastewater pool are recorded, and when wastewater with the similarity of more than 80% with the pixel distribution of the wastewater image is acquired again later, the adding amount of the flocculant is set to be 0.5x.
As a further scheme of the invention: in the data analysis module, when Q1 is smaller than target cleanliness, a wastewater image and a flocculant throwing amount y at the initial moment of adding the flocculant into the current wastewater pool are recorded, and when wastewater with the similarity of more than 80% with the pixel distribution of the wastewater image is collected again later, the throwing amount of the flocculant is set to be 2y.
As a further scheme of the invention: in the data analysis module, when t is greater than a preset threshold value, a wastewater image of the current initial time of adding the flocculant into the wastewater pond and the adding amount z of the flocculant are recorded, and when the wastewater with the similarity of more than 80% with the pixel distribution of the wastewater image is acquired again later, the adding amount of the flocculant is set to be z.
As a further scheme of the invention: the process of calculating the similarity is as follows:
respectively establishing rectangular coordinate systems in two waste water images, acquiring coordinates of all pixels in the images, acquiring gray values H1 (x, y) of any pixel in one waste water image and gray values H2 (x, y) of any pixel in the other waste water image, calculating gray differences of pixels in the same position of the two waste water images through H1-H2, and calculating the proportion of pixels with gray differences lower than a preset difference to all pixels, namely the similarity.
The invention has the beneficial effects that:
According to the invention, through real-time image acquisition and processing, a flocculation area and a water area are accurately identified by utilizing an image processing technology, flocculant feeding is adjusted according to the cleanliness of the water, excessive or insufficient problems are avoided by accurately controlling the feeding amount of the flocculant, the system can record and learn the characteristics of the wastewater image, and when similar wastewater is encountered again, the feeding amount of the flocculant can be adjusted according to historical data, so that the adaptability and the intelligence of the system are enhanced; the invention not only can improve the treatment efficiency and effect, but also can reduce the operation cost and the environmental impact, has stronger adaptability and stability, and is beneficial to improving the automation level and the intelligent degree of the whole wastewater treatment process.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention is a microbial flocculant adding system for wastewater treatment, comprising:
The image acquisition module is used for acquiring the wastewater image of the flocculant after being thrown into the wastewater treatment tank in real time;
the image processing module is used for converting the wastewater image into a gray image, preprocessing the gray image, dividing the gray image into a flocculation area and a water area, and judging the cleanliness Q of the water according to the gray value of the pixel points of the water area;
the data analysis module is used for acquiring the current cleanliness Q1 after the value of the cleanliness Q is kept stable, comparing the cleanliness Q1 with the target cleanliness, and continuously adding a flocculating agent into the wastewater treatment tank if the cleanliness Q1 is smaller than the target cleanliness; if Q1 is greater than the target cleanliness, acquiring time t from the initial moment of adding the flocculant to the current moment, and continuously adding wastewater to be treated into the flocculation tank when t is smaller than a preset threshold value; and when t is greater than a preset threshold value, discharging the wastewater from the flocculation tank, and ending the wastewater treatment process.
According to the invention, through real-time image acquisition and processing, a flocculation area and a water area are accurately identified by utilizing an image processing technology, flocculant feeding is adjusted according to the cleanliness of the water, excessive or insufficient problems are avoided by accurately controlling the feeding amount of the flocculant, the system can record and learn the characteristics of the wastewater image, and when similar wastewater is encountered again, the feeding amount of the flocculant can be adjusted according to historical data, so that the adaptability and the intelligence of the system are enhanced; the invention not only can improve the treatment efficiency and effect, but also can reduce the operation cost and the environmental impact, has stronger adaptability and stability, and is beneficial to improving the automation level and the intelligent degree of the whole wastewater treatment process.
In another preferred embodiment of the present invention, the preprocessing of the image processing module is as follows:
Performing primary noise reduction on the gray level image, performing edge detection on the gray level image after primary noise reduction, dividing a wastewater treatment tank from other areas, performing binarization treatment on the gray level image after edge detection, generating a binarized image, and performing secondary noise reduction on the binarized image.
In another preferred embodiment of the present invention, the process of dividing the flocculation area and the water area in the image processing module is as follows:
And selecting a black communication area in the binarized image, identifying the shape of the black communication area, excluding preset unselected shapes, wherein the unselected shapes are round, square and polygonal, marking the black communication area with the pixel area larger than a preset threshold value a as a flocculation area, and marking the rest areas as water areas.
In another preferred embodiment of the present invention, the process of determining the cleanliness Q by the image processing module is:
and counting the number m of connected areas with the area lower than a preset threshold value a in the water body area and the number n of all black pixel points in the m connected areas, wherein Q=malpha+nβ, wherein alpha and β are preset coefficients, and alpha is larger than β.
In another preferred embodiment of the present invention, in the data analysis module, when t is smaller than a preset threshold, the wastewater image and the flocculant adding amount x at the initial time of adding the flocculant into the wastewater tank are recorded, and when the wastewater with the similarity to the pixel distribution of the wastewater image being greater than 80% is collected again later, the adding amount of the flocculant is set to be 0.5x.
In another preferred embodiment of the present invention, in the data analysis module, when Q1 is smaller than the target cleanliness, the wastewater image and the flocculant adding amount y at the initial time of adding the flocculant into the wastewater tank are recorded, and when the wastewater with the similarity to the pixel distribution of the wastewater image being greater than 80% is collected again later, the adding amount of the flocculant is set to 2y.
In another preferred embodiment of the present invention, in the data analysis module, when t is greater than a preset threshold, the current wastewater tank flocculant adding initial time wastewater image and the adding amount z of the flocculant are recorded, and when the wastewater with the similarity to the pixel distribution of the wastewater image being greater than 80% is collected again later, the adding amount of the flocculant is set to z.
In another preferred embodiment of the present invention, the process of calculating the similarity is:
respectively establishing rectangular coordinate systems in two waste water images, acquiring coordinates of all pixels in the images, acquiring gray values H1 (x, y) of any pixel in one waste water image and gray values H2 (x, y) of any pixel in the other waste water image, calculating gray differences of pixels in the same position of the two waste water images through H1-H2, and calculating the proportion of pixels with gray differences lower than a preset difference to all pixels, namely the similarity.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. A wastewater treatment microbial flocculant dosing system, comprising:
The image acquisition module is used for acquiring the wastewater image of the flocculant after being thrown into the wastewater treatment tank in real time;
the image processing module is used for converting the wastewater image into a gray image, preprocessing the gray image, dividing the gray image into a flocculation area and a water area, and judging the cleanliness Q of the water according to the gray value of the pixel points of the water area;
the data analysis module is used for acquiring the current cleanliness Q1 after the value of the cleanliness Q is kept stable, comparing the cleanliness Q1 with the target cleanliness, and continuously adding a flocculating agent into the wastewater treatment tank if the cleanliness Q1 is smaller than the target cleanliness; if Q1 is greater than the target cleanliness, acquiring time t from the initial moment of adding the flocculant to the current moment, and continuously adding wastewater to be treated into the flocculation tank when t is smaller than a preset threshold value; and when t is greater than a preset threshold value, discharging the wastewater from the flocculation tank, and ending the wastewater treatment process.
2. The microbial flocculant adding system for wastewater treatment according to claim 1, wherein the pretreatment process of the image processing module is as follows:
Performing primary noise reduction on the gray level image, performing edge detection on the gray level image after primary noise reduction, dividing a wastewater treatment tank from other areas, performing binarization treatment on the gray level image after edge detection, generating a binarized image, and performing secondary noise reduction on the binarized image.
3. The microbial flocculant adding system for wastewater treatment according to claim 2, wherein the process of dividing the flocculation area and the water area in the image processing module is as follows:
And selecting a black communication area in the binarized image, identifying the shape of the black communication area, excluding preset unselected shapes, wherein the unselected shapes are round, square and polygonal, marking the black communication area with the pixel area larger than a preset threshold value a as a flocculation area, and marking the rest areas as water areas.
4. The microbial flocculant adding system for wastewater treatment according to claim 3, wherein the process of judging the cleanliness Q by the image processing module is as follows:
and counting the number m of connected areas with the area lower than a preset threshold value a in the water body area and the number n of all black pixel points in the m connected areas, wherein Q=malpha+nβ, wherein alpha and β are preset coefficients, and alpha is larger than β.
5. The microbial flocculant adding system for wastewater treatment according to claim 1, wherein in the data analysis module, when t is smaller than a preset threshold value, a wastewater image and a flocculant adding amount x at the initial time of adding the flocculant into the current wastewater pond are recorded, and when wastewater with the similarity to the pixel distribution of the wastewater image being greater than 80% is collected again later, the adding amount of the flocculant is set to be 0.5x.
6. The microbial flocculant adding system for wastewater treatment according to claim 1, wherein in the data analysis module, when Q1 is smaller than a target cleanliness, a wastewater image and a flocculant adding amount y at the initial time of adding the flocculant into the current wastewater pond are recorded, and when wastewater with the similarity to the pixel distribution of the wastewater image being greater than 80% is collected again later, the adding amount of the flocculant is set to be 2y.
7. The microbial flocculant adding system for wastewater treatment according to claim 1, wherein in the data analysis module, when t is greater than a preset threshold value, a wastewater image at the initial time of adding the flocculant into the wastewater pond and the adding amount z of the flocculant are recorded, and when the wastewater with the similarity of more than 80% with the pixel distribution of the wastewater image is collected again later, the adding amount of the flocculant is set to z.
8. The wastewater treatment microbial flocculant addition system of any of claims 5, 6 or 7, wherein the similarity calculation process is:
respectively establishing rectangular coordinate systems in two waste water images, acquiring coordinates of all pixels in the images, acquiring gray values H1 (x, y) of any pixel in one waste water image and gray values H2 (x, y) of any pixel in the other waste water image, calculating gray differences of pixels in the same position of the two waste water images through H1-H2, and calculating the proportion of pixels with gray differences lower than a preset difference to all pixels, namely the similarity.
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| CN202410376848.8A CN117975042A (en) | 2024-03-29 | 2024-03-29 | Microbial flocculant adding system for wastewater treatment |
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| CN202410376848.8A CN117975042A (en) | 2024-03-29 | 2024-03-29 | Microbial flocculant adding system for wastewater treatment |
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