KR101345557B1 - Method and apparatus for detecting wastewater sludge boundary aspect - Google Patents

Abstract

Provided are a method for detecting a boundary interface of sewage sludge and a device thereof. The method for detecting the boundary interface of the sewage sludge according to an embodiment of the present invention determines the boundary interface of a sewage treatment tank based on statistic data generated by calculating the number of image data exceeding a critical value in images of the sewage treatment tank. Therefore, values and conditions used for determining the critical value and the boundary interface are dynamically applied according to regions and time so that the boundary interface of the sewage treatment tank can be detected. [Reference numerals] (122c) Image sensor; (123) Image processor; (123b) Statistical data block; (AA) 1 H synch (horizontal synchronization signal)

Description

Wastewater sludge boundary detection method and apparatus {Method and Apparatus for Detecting Wastewater Sludge Boundary Aspect}

The present invention relates to wastewater treatment, and more particularly, to a detection method and system for detecting the interface height of the sludge precipitated in the wastewater treatment tank.

Generally, organic matters contained in various kinds of domestic and industrial wastewater are environmental pollutants that pollute water quality such as rivers and lakes. Therefore, in order to reduce such water pollution, various wastewaters are properly purified in a wastewater treatment system to lower biological oxygen demand (BOD) as much as possible and discharge only below the water discharge limit.

The treatment step in the wastewater treatment system described above may be divided into a first pretreatment step, a second main treatment step, and a third advanced treatment step. In the first pretreatment step, suspended solids or suspensions are treated by screening and sedimentation flotation. In addition, in the second main treatment step, insoluble and poorly soluble colloidal substances and harmful organic matters (BOD, COD) are treated by coagulation sedimentation, electrolytic coagulation, neutralization, filtration, activated sludge, water filtration, stable paper, and oxidation paper. In the third advanced treatment step, nitrogen, phosphorus, fine solids, organic matter, and inorganic salts are treated by denitrification tank, coagulation sedimentation, filtration, diatomaceous earth, activated carbon, evaporation, quenching, extraction, reverse osmosis, electrodialysis, ion exchange, and the like. .

In the wastewater treatment system, a unit operation called coagulation sedimentation is essential in the wastewater treatment tank in the first to third treatment stages. In addition, most of the water pollutants are treated by physicochemical, biochemical, and other methods, and then precipitated through coagulation sedimentation and concentration tanks, and the precipitated pollutants are discharged to a dehydrator, dehydrated, and then incinerated or dumped at sea. Is handled by the method.

The wastewater treatment tank of this wastewater treatment system is provided with a plurality of concentration measuring sensors for measuring the concentration of the flocculated sediment sludge at different heights. In addition, the lower portion of the wastewater treatment tank is configured with a sludge discharge device for discharging the sludge settled out when the sludge concentration measured by the concentration measuring sensors is more than a predetermined value.

The density measuring sensor is composed of a light emitting part for emitting light and a light receiving part for receiving the light reflected by the sludge particles after being emitted from the light emitting part, and an optical sensor for measuring the concentration by the amount of light absorbed by the light receiving part is mainly applied.

However, the conventional concentration measuring sensors for measuring the sludge concentration in the wastewater treatment system as described above are difficult to measure the exact sludge concentration because the concentration is measured by the amount of light absorbed by the light-receiving unit using an optical sensor, thus ultimately sludge There is a problem that the detection of the height of the interface is incorrect.

The present invention has been made to solve the above problems, an object of the present invention, based on the statistical data generated by calculating the number exceeding the threshold in the image data inside the wastewater treatment tank, the sludge boundary surface of the wastewater treatment tank The present invention provides a method and apparatus for detecting wastewater sludge interface.

Waste water sludge interface detection method according to an embodiment of the present invention for achieving the above object, the step of obtaining an image inside the waste water treatment tank; Generating statistical data by calculating the number of image data exceeding a threshold value in the image acquired in the obtaining step; And determining a sludge interface of the wastewater treatment tank based on the statistical data.

In the generating step, statistical data may be generated by calculating the number of image data for which the image exceeds a different threshold.

The number of the image data may be calculated by dividing the portion of the image.

Part of the image may be a block or a line of the image.

In addition, the acquiring step may acquire images of different depths in the wastewater treatment tank, and in the generating step, statistical data may be generated for the images of different depths.

In the determining step, the sludge image may be determined based on the statistical data generated in the generating step, and the sludge boundary surface may be determined based on the number determined as the sludge image in a specific section.

In the determining step, the sludge boundary surface may determine a point within a section in which the number determined as the sludge image exceeds the reference.

The one point may be the center of the section.

The threshold may be determined according to the installation area of the wastewater treatment tank and the acquisition date and time of the image.

On the other hand, according to another embodiment of the present invention, the wastewater sludge boundary detection device, the image acquisition unit for obtaining an image inside the wastewater treatment tank; And an image processor for generating statistical data by calculating the number of image data exceeding a threshold value in the image acquired by the image acquisition unit, wherein the statistical data is referenced to determine a sludge boundary surface of the wastewater treatment tank.

As described above, according to the embodiments of the present invention, the sludge interface of the wastewater treatment tank may be determined based on statistical data generated by calculating the number exceeding the threshold value in the image data inside the wastewater treatment tank.

In particular, the numerical values and conditions used to determine the threshold and the interface can be dynamically applied according to the region and time / time to enable the detection of the sludge interface of the wastewater treatment tank more adaptively.

1 is a view schematically showing a wastewater sludge boundary surface detection apparatus according to an embodiment of the present invention,
FIG. 2 is a bottom view showing the wastewater sludge boundary surface detection device shown in FIG. 1 from the bottom;
3 is a cross-sectional view of an image acquisition / processing unit provided in the wastewater sludge boundary surface detection apparatus shown in FIG. 1;
4 is a block diagram provided for explaining an internal configuration of the wastewater sludge boundary surface detection apparatus shown in FIG. 1;
5 to 8 are views provided for explaining the statistical data generation process by the image processor, and
9 is a view provided to explain the sludge interface determination process using the statistical data generation process.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1 is a view schematically showing a wastewater sludge boundary detection apparatus according to an embodiment of the present invention, Figure 2 is a bottom view showing the wastewater sludge boundary detection apparatus shown in Figure 1 from the bottom, Figure 3 1 is a cross-sectional view of an image acquisition / processing unit provided in the wastewater sludge boundary detection device shown in FIG. 1.

As shown in FIG. 1, the wastewater sludge boundary detection device 100 is a device that acquires and processes wastewater / sludge images while moving the wastewater treatment tank up and down to provide statistical data for use in detecting the sludge boundary surface. Open container 110, the image acquisition / processing unit 120 is fixedly installed on the inside of the container 110 and the container 110 by allowing the gas such as air to be injected into the container 110 It includes a pressure adjusting unit 130 to maintain a constant internal pressure of the.

As shown in FIG. 2, the image acquisition / processing unit 120 photographs the inside of the wastewater treatment tank to generate an image, a wavelength variable filter 124 and a camera provided in front of the camera module 122. The light emitting unit 126 is provided around the module 122.

As shown in FIG. 3, the camera module 122 includes a housing 122a formed in a hollow shape, a lens portion 122b installed in a hollow formed in a center of the housing 122a, for forming an image of wastewater / sludge, It includes an image sensor 122c for capturing the waste water / sludge image passing through the lens unit 122b and a PCB 122d provided with the image sensor 122c.

Although not shown in FIG. 3, the PCB 122d includes an image processor that processes wastewater / sludge images generated by the image sensor 122c, a memory required for signal processing and result storage, and a communication interface for accessing an external device. Is prepared.

The variable wavelength filter 124 may be provided in front of the lens unit 122b of the camera module 122, and the plurality of light emitting units 126 may be provided around the camera module 122, and the light emitting unit 126 may be provided. Since the inside of the wastewater treatment tank is dark, the inside of the container 110 is brightly illuminated, and the wastewater / sludge image is irradiated onto the sludge 140 so that the wastewater / sludge image can be obtained through the camera module 122. The variable wavelength filter 124 and the light emitting unit 126 are devices installed to optically optimize the light source received by the camera module 122.

Since the internal environment of the wastewater treatment tank is different depending on the location and sludge of the wastewater treatment tank, the type of light emitting part 126 to be used and the sludge emitted by the light emitting part 126 to obtain the wastewater / sludge image inside the wastewater treatment tank. It is also possible to appropriately select the type of the tunable filter 124 that filters the desired wavelength among the wavelengths of the light source reflected on the 140 and received by the camera module 122.

Specifically, the light emitting unit 126 may select an appropriate LED according to the environment and the sludge 140 inside the container 110 and install the LED around the camera module 120, and also the wavelength variable filter 124. Also, the wavelength tunable filter 124 may be appropriately selected according to a desired wavelength among the wavelengths of the light source reflected by the sludge 140 and received by the camera module 122. It is also possible to choose.

As described above, the light emitter 126 and the wavelength variable filter 124 irradiates light onto the sludge 140 and has a function of smoothly receiving a light source reflected through the camera module 122. In light of the configuration, the light emitting unit 126 and the variable wavelength filter 124 may be appropriately selected according to the environment inside the container 110 and the contents of the sludge 140. On the other hand, it is generally possible to select the light emitting portion 126 and the specific band pass filter 124 equipped with a specific wavelength generating element according to the location of the waste water treatment tank and the type of the waste water.

Wastewater sludge interface detection device 100 is immersed in the wastewater in the wastewater treatment tank, the interior of the container 110 is brightly illuminated by the light emitting unit 126, the light source emitted from the light emitting unit 126 is sludge 140 Only the light source wavelength desired by the user by hitting and reflecting on the surface passes through the specific band pass filter 124 and is incident into the camera module 122 to be detected by the image sensor 122c, thereby obtaining wastewater / sludge images.

Hereinafter, the internal structure of the wastewater sludge boundary surface detection apparatus 100 will be described in detail with reference to FIG. 4.

As shown in FIG. 4, the wastewater sludge boundary detection apparatus 100 includes an image processor 123, a communication interface 124, and a memory 125 in addition to the image sensor 122c described above in an internal configuration.

The image processor 123 generates statistical data to be used for detecting the sludge boundary surface using the image data generated by the image sensor 122c through imaging. A process of generating statistical data by the image processor 123 will be described in detail with reference to FIGS. 5 to 8 below.

5, image data generated by the image sensor 122c is illustrated. Although image data is generally implemented as luminance data, it is not excluded that data other than luminance is used. Here, the image is composed of N lines, and the image data is divided into lines (Line 0, ..., Line N-3, Line N-2, Line N-1) by the horizontal synchronization signal (Hsync). It is assumed to be delivered to the processor 123.

As shown in the right side of FIG. 5, the image processor 123 has a structure in which a plurality of data statistics blocks 123b are connected to the data bus 123a. The data statistics blocks 123b are assigned different threshold values.

The threshold value refers to a reference value for determining whether or not the luminance or color of the pixel exceeds a specific level. The threshold value for determining the current pixel may be fixed to a specific value. The average value may be taken by accumulation of pixel values and selected as a threshold value.

Specifically, as illustrated in FIG. 5, A) Threshold Value A is assigned to the first data statistics block, B) Threshold Value B is assigned to the second data statistics block, and C) Threshold is assigned to the third data statistics block. Value C is assigned and D) Threshold Value D is assigned to the fourth data statistics block.

The data statistics block 123b includes a pulse generation logic 123b-1, a counter 123b-2 and a temporary data register 123b-3, respectively, as shown on the right side of FIG.

As shown in the lower part of FIG. 5, the pulse generation logic 123b-1 is implemented as a comparator for comparing the image data input from the image sensor 122c with a threshold value and outputting a comparison result.

When the image data is larger than the threshold value, the count-up pulse is output from the pulse generation logic 123b-1 to the counter 123b-2, and the counter 123b-2 is counted up. The count result at the counter 123b-2 is stored in the temporary data register 123b-3. As a result, the temporary data register 123b-3 temporarily stores the number of pixels exceeding the threshold in the image applied to the data statistics block 123b.

Specifically, A) the temporary data register of the first data statistics block stores the number of pixels exceeding the threshold A in the image, and B) the temporary data register of the second data statistics block stores the number of pixels exceeding the threshold B in the image. C) The temporary data register of the third data statistics block stores the number of pixels above the threshold C in the image, and D) The temporary data register of the fourth data statistics block stores the number of pixels exceeding the threshold D in the image. Stored.

On the other hand, the temporary data register 123b-3 temporarily stores data in line units. That is, when the image line applied to the pulse generation logic 123b-1 is changed, the register value (number of pixels exceeding the threshold value) stored in the temporary data register 123b-3 is transferred to the register file provided in the memory 125. Transferred.

This operation is illustrated in FIG. As shown in FIG. 6, as many register files are created in the memory 125 as the number of data statistics blocks 123b, and the register files are provided with a register value (threshold value) temporarily stored in the temporary data register 123b-3. The excess number of pixels) is shifted in units of lines of the image.

Specifically, A) In the first register file (RF-A), the register values stored temporarily in the temporary data register of the first data statistics block include the line units (R ₀ , R ₁ , ... R _{N -2} , R of the image). _{N -3} ), and B) In the second register file (RF-B), the register values stored temporarily in the temporary data register of the second data statistics block are stored in line units (R ₀ , R ₁ , ... R of the image). _{N -2} , R _{N -3} ), and C) In the third register file (RF-C), register values stored temporarily in the temporary data register of the third data statistic block are line units (R ₀ , R _{1) of the image.} , ... R _{N -2} , R _{N -3} ), and D) In the fourth register file (RF-D), the register values stored temporarily in the temporary data register of the fourth data statistics block are stored in line units of the image ( R ₀ , R ₁ , ... R _{N -2} , R _{N -3} ).

As a result, a register file corresponding to the number of data statistics blocks (the number of threshold values) is generated for one image.

In the above embodiment, it is assumed that the register values constituting the register file are divided into line units of an image, which is an example for convenience of description.

In the above embodiment, it is assumed that register values constituting the register file are divided by line of an image, which is an example for convenience of description. It can be based on something other than the line of the image.

For example, as illustrated in FIG. 7, when an image is divided into a plurality of blocks, and data is temporarily stored in blocks in a temporary data register, and a block of an image applied to the pulse generation logic is changed, the temporary data register The register value (number of pixels exceeding the threshold value) stored in 123b-3 can be implemented by being transferred to a register file provided in the memory 125.

Meanwhile, the wastewater sludge boundary detection apparatus 100 captures wastewater / sludge images while changing depths in the wastewater treatment tank, and generates register files as statistical data for each generated wastewater / sludge image. 8 conceptually illustrates this.

As shown in FIG. 8, the wastewater sludge boundary detection device 100 generates a wastewater / sludge image with the image sensor 122c at a depth D ₁ , and generates register files with the image processor 123. 2) Generate wastewater / sludge image with image sensor 122c at depth D ₂ , register files with image processor 123, ..., m) Wastewater / sludge with image sensor 122c at depth D _m The sludge image is generated and register files are generated by the image processor 123.

Assuming four thresholds A, B, C, and D, four register files are created per depth, as shown in FIG. That is, four register files are generated at D ₁ , four register files are generated at D ₂ , and four register files are generated at D _m .

The generated register files are stored in the memory 125, which allows an external computer to access and reference the register files stored in the memory 125 via the communication interface 124, which is illustrated in FIG.

The external computer detects the sludge interface based on the register files. To this end, if D ₁ is available for the sludge on the basis of the register file that is generated by the D ₁ is determined, and a determination that the basis of the register file that is generated by the D ₂ D ₂ is equivalent to the sludge, ... generated by the D _m Based on the registered register files, it is determined whether D _m corresponds to sludge.

If the result of determining the sludge is 70% or more over a specific section, the external computer may determine the center of the section as the sludge interface. For example, in the range of D _n to D _{n +10} , D _{n +1} , D _{n +3} , D _{n +5} , D _{n +6} , D _{n +7} , D _{n +8} , D _{n +9} , D If _{n + 10,} on the other hand it is determined in the sludge, D _n, D _{n +2,} D _{n + 4} is determined as a result of sludge, such as when it is determined to a certain level, the waste water, for example at least 70%, _n D ~ _n D D _{n +5} , the center of the ₊₁₀ interval, is determined as the sludge interface.

The method of generating statistical data from the image inside the waste water treatment tank and detecting the sludge interface from the statistical data has been described in detail with reference to a preferred embodiment.

In the above embodiment, the number of thresholds (data statistics block) and the threshold value may be determined differently according to the installation area of the wastewater treatment tank and the image acquisition date / time, and the specifics may be determined from past past statistics.

In addition, a method of determining whether an image is a sludge image or a wastewater image based on statistical data may also be different depending on the installation area and the date / date and time of the wastewater treatment tank. For example, if more than 50% of the pixels exceed the threshold in the central region in the morning of November 11 in Region A, it is determined as a sludge image, while the threshold is exceeded in the edge region in the afternoon of May 11 in Region B. If the pixel is 70% or more, it may be determined as a sludge image.

That is, when determining whether the sludge image or the waste water image, different weights may be applied to the data included in the register file.

Furthermore, in determining the sludge boundary surface, the size (length) of the section, the determination condition, and the position of the point to be determined as the boundary surface in the section may also be determined differently according to the installation area of the wastewater treatment tank and the image acquisition date / time, Specifics can be determined from past past statistics.

On the other hand, it is also possible to absorb the waste water sludge interface detection device 100 performs a function performed by the external computer.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention.

100: wastewater sludge interface detection device
120: image acquisition / processing unit 122: camera module
122c: image sensor 123: image processor
123a: data bus 123b: data statistics block
123b-1: Pulse Generation Logic 123b-2: Counter
123b-3: Temporary data register 124: Communication interface
125: Memory

Claims (10)

Obtaining an image inside the wastewater treatment tank;
Generating statistical data by calculating the number of pixels whose luminance exceeds a threshold in the image acquired in the acquiring step; And
And determining a sludge interface of the wastewater treatment tank based on the statistical data.
delete The method of claim 1,
The number of pixels is
The wastewater sludge interface detection method characterized in that the part of the image is calculated separately.
The method of claim 3, wherein
Part of the video,
Wastewater sludge boundary detection method, characterized in that the block or line of the image.
The method of claim 1,
The acquiring step includes:
Acquire images of different depths in the wastewater treatment tank,
The generating step,
A wastewater sludge boundary detection method for generating statistical data for images of different depths.
The method of claim 1,
Wherein,
And determining the sludge boundary surface on the basis of the number determined as the sludge image in a specific section based on the statistical data generated in the generating step.
The method according to claim 6,
Wherein,
The wastewater sludge boundary detection method, characterized in that the sludge boundary surface is determined as one point within a section in which the number determined as the sludge image exceeds the reference.
8. The method of claim 7,
The one point is,
Wastewater sludge boundary detection method, characterized in that the center of the section.
The method of claim 1,
The threshold is
The wastewater sludge interface detection method, characterized in that the wastewater treatment tank is determined according to the installation area and the acquisition date and time of the image.
An image acquisition unit for acquiring an image inside the wastewater treatment tank; And
And an image processor for generating statistical data by calculating the number of pixels whose luminance exceeds a threshold value in the image acquired by the image acquisition unit.
The statistical data includes,
A wastewater sludge interface detection apparatus, characterized in that it is referred to to determine the sludge interface of the wastewater treatment tank.

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