JP2022012454A - Water treatment system, control device, water treatment method and program - Google Patents

Abstract

To measure a proper value on a flocculation state in a reaction tank.SOLUTION: A water treatment system includes: a tank 100 into which water to be treated which contains a suspended matter flows; an imaging device 200 for capturing an image of a flocculated matter in the water stored in the tank 100 and injected with a flocculation agent; a light source 400 for irradiating an imaging range of the imaging device 200 with light; and a control device 300 for calculating a feature amount from the image captured by the imaging device 200 and changing an imaging program executed by the imaging device 200 on the basis of the calculated feature amount.SELECTED DRAWING: Figure 1

Description

The present invention relates to water treatment systems, controls, water treatment methods and programs.

In water purification plants, sewage treatment plants, and other wastewater treatment facilities, a flocculant is added to the water to be treated, suspended solids (SS) in the water to be treated are aggregated to form flocs, and the flocs are settled and separated or levitated. A process of separating by separation or the like is performed. At that time, for example, a technique of adding a coagulant to a stock solution of water to be treated, stirring the mixture, and irradiating the stirred stock solution with light to determine the amount of the coagulant added based on an optically measured value. (See, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2017-121601

In the technique described in Patent Document 1, there is a possibility that an appropriate value cannot be measured depending on the relationship between the light irradiation state and the setting on the optical measuring device side.

An object of the present invention is to provide a water treatment system, a control device, a water treatment method and a program capable of measuring an appropriate value for an aggregated state in a reaction vessel.

The present invention comprises a reaction vessel into which water to be treated containing suspended solids flows.
An image pickup device that captures an image of agglomerates in water stored in the reaction vessel into which a coagulant is injected, and an image pickup device.
A light source that irradiates the imaging range of the imaging device with light,
It is a water treatment system having a control device that calculates a feature amount from an image captured by the image pickup device and changes an image pickup program executed by the image pickup device based on the calculated feature amount.

The control device determines whether or not the feature amount satisfies a preset target value, and when the time when the feature amount does not satisfy the target value exceeds a preset predetermined time, the image pickup device It is preferable to change the imaging program.

The control device changes the image pickup program of the image pickup device based on the plurality of preset image pickup programs, the plurality of target values for changing each of the plurality of image pickup programs, and the plurality of predetermined times. It is preferable to do so.

It is preferable that the control device calculates the number of edge pixels from the image captured by the image pickup device as the feature amount.

The image pickup apparatus has a plurality of image sensors including at least a color sensor and an infrared sensor.
It is preferable that the control device changes at least one of the image sensor and the image pickup program based on the feature amount.

Further, in the present invention, the feature amount is calculated from the image taken by the image pickup apparatus for taking an image of the agglomerates in the water stored in the reaction tank into which the water to be treated containing the suspended solid is injected and the coagulant is injected. Calculation unit and
It is a control device having a change unit for changing an image pickup program executed by the image pickup device based on the feature amount calculated by the calculation unit.

Further, the present invention comprises a process of capturing an image of agglomerates in water stored in a reaction vessel into which a water to be treated containing a suspended solid is injected and in which a coagulant is injected.
The process of calculating the feature amount from the captured image and
It is a water treatment method that performs a process of changing an image pickup program executed by an image pickup apparatus that images the image based on the calculated feature amount.

Further, the present invention applies to a computer.
The procedure for calculating the feature amount from the image taken by the image pickup device that takes an image of the agglomerates in the water stored in the reaction tank into which the water to be treated containing the suspended solids is injected and the coagulant is injected.
It is a program for executing a procedure for changing an image pickup program executed by the image pickup apparatus based on the calculated feature amount.

In the present invention, an appropriate value can be measured for the aggregated state in the reaction vessel.

It is a figure which shows the 1st Embodiment of the water treatment system of this invention. It is a figure which shows an example of the internal structure of the control device shown in FIG. It is a flowchart for demonstrating an example of the water treatment method in the water treatment system shown in FIG. It is a figure which shows an example of the table of correspondence with a plurality of target values and a plurality of image pickup programs. It is a figure which shows the 2nd Embodiment of the water treatment system of this invention. It is a figure which shows an example of the internal structure of the image pickup apparatus shown in FIG. It is a figure which shows an example of the internal structure of the control device shown in FIG. It is a flowchart for demonstrating an example of the water treatment method in the water treatment system shown in FIG. It is a figure which shows the 3rd Embodiment of the water treatment system of this invention. It is a figure which shows an example of the internal structure of the control device shown in FIG. It is a flowchart for demonstrating an example of the water treatment method in the water treatment system shown in FIG. It is a flow figure which shows the 1st application example of the water treatment system of this invention. It is a flow figure which shows the 2nd application example of the water treatment system of this invention. It is a flow figure which shows the 3rd application example of the water treatment system of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
(First Embodiment)

FIG. 1 is a diagram showing a first embodiment of the water treatment system of the present invention. As shown in FIG. 1, the water treatment system in this embodiment has a tank 100, an image pickup device 200, a control device 300, and a light source 400.

The tank 100 is a storage tank in which water to be treated, which is raw water containing suspended solids, flows in and stores the inflowed water to be treated, and a flocculant is injected from the outside into the stored water to be treated. It is also a reaction tank. The image pickup apparatus 200 captures an image of agglomerates in water stored in a tank 100 into which a coagulant is injected. The image pickup device 200 may be, for example, an image sensor (camera) that captures an image of water. When an image sensor is used as the image pickup device 200, the image pickup range of the image sensor is, for example, in the range of 30 mm × 30 mm to 600 mm × 600 mm in the tank 100. If a high-quality image sensor is used, it is possible to capture flocs (hereinafter, also referred to as agglomerates) even when shooting a wide imaging range from a distance. From the viewpoint that an image sensor capable of taking an image is very expensive, it is desirable to take an image in an imaging range of about 30 mm × 30 mm to 300 mm × 300 mm. When the image pickup device 200 is an image sensor, the image pickup device 200 may be a camera (for example, a moving image imaging camera) that captures an image of water in the tank 100 at a time interval equal to or less than a preset time interval. good. The control device 300 calculates the feature amount from the image captured by the image pickup device 200. Further, the control device 300 changes the image pickup program, which is a computer program (hereinafter referred to as a program) executed by the image pickup device 200, based on the calculated feature amount. This imaging program is a program that sets parameters for imaging such as aperture value, focus, shutter speed, and ISO sensitivity according to the imaging environment and imaging conditions. The light source 400 irradiates the image pickup range of the image pickup apparatus 200 with light. The intensity of the light emitted by the light source 400 is such an intensity that the flocs existing in the tank 100 can be identified from the image captured by the image pickup apparatus 200. The light source 400 does not emit light at the moment of imaging like a strobe of a general camera, but continuously irradiates light even before the imaging device 200 starts imaging. The tank 100 may be provided with a stirring member for stirring the treated water.

FIG. 2 is a diagram showing an example of the internal configuration of the control device 300 shown in FIG. As shown in FIG. 2, the control device 300 shown in FIG. 1 has a calculation unit 310, a determination unit 320, and a change unit 330. Note that FIG. 2 shows only the main components related to the present embodiment among the components included in the control device 300 shown in FIG.

The calculation unit 310 calculates the feature amount from the image captured by the image pickup apparatus 200. The determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 satisfies a preset target value. The change unit 330 changes the image pickup program executed by the image pickup apparatus 200 based on the feature amount calculated by the calculation unit 310. Specifically, the change unit 330 changes the image pickup program executed by the image pickup apparatus 200 based on the result of the determination made by the determination unit 320. More specifically, when the determination unit 320 determines that the feature amount calculated by the calculation unit 310 does not satisfy the target value which is a preset threshold value, the change unit 330 indicates the duration of the state. If exceeds the preset time limit, the image pickup program executed by the image pickup apparatus 200 is changed. It should be noted that a plurality of the target values may be set, and in that case, a plurality of imaging programs corresponding to the respective target values may be set.

The water treatment method in the water treatment system shown in FIG. 1 will be described below. FIG. 3 is a flowchart for explaining an example of a water treatment method in the water treatment system shown in FIG.

First, the image pickup apparatus 200 captures and captures an image of the agglomerates in the water stored in the tank 100 (step S1). Then, the calculation unit 310 acquires the image captured by the image pickup apparatus 200. This acquisition method may be, for example, a method in which an image captured by the image pickup device 200 is transmitted to the control device 300 and acquired by the calculation unit 310, or the calculation unit 310 captures the image by the image pickup device 200 and uses a memory or the like. The image data stored in the storage device may be read out from the storage device.

Then, the calculation unit 310 calculates the feature amount from the image captured (acquired) by the image pickup apparatus 200 (step S2). At this time, the calculation unit 310 calculates the number of edge pixels from the image captured (acquired) by the image pickup apparatus 200 and uses it as a feature amount. At this time, the calculation unit 310 detects as an edge a pixel in which the color difference (for example, the difference in RGB values) of the pixels adjacent to each other in the image captured (acquired) by the image pickup apparatus 200 is equal to or larger than the threshold value, and the detection is detected. The number of edges (number of pixels) may be calculated as the number of edge pixels.

Subsequently, the determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 satisfies the preset target value (step S3). Specifically, the determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 is less than the target value. If the feature amount is below the target value, the feature amount does not satisfy the target value, and if the feature amount is not below the target value, the feature amount satisfies the target value. When the determination unit 320 determines that the feature amount calculated by the calculation unit 310 is not less than the target value, the process of step S2 is performed. On the other hand, when the determination unit 320 determines that the feature amount calculated by the calculation unit 310 is less than the target value, the change unit 330 exceeds the predetermined time for which the state continues. It is determined whether or not (step S4). When the change unit 330 determines that the time during which the state continues exceeds the predetermined time, the change unit 330 changes the image pickup program executed by the image pickup apparatus 200 (step S5). After that, the image pickup apparatus 200 executes the modified image pickup program to perform image pickup.

When a plurality of target values are set, each target value may be associated with a plurality of imaging programs, and the changing unit 330 may set an imaging program to be changed according to the target value. FIG. 4 is a diagram showing an example of a table of correspondence between a plurality of target values and a plurality of imaging programs. In the table shown in FIG. 4, a plurality of target values and a plurality of imaging programs are associated with each other. As shown in FIG. 4, the target value A and the program A are stored in association with each other. This indicates that when the target value used for the determination by the determination unit 320 is the target value A, the imaging program changed by the change unit 330 is the program A. Further, the target value B and the program B are stored in association with each other. This indicates that when the target value used by the determination unit 320 for the determination is the target value B, the imaging program changed by the change unit 330 is the program B. Further, the target value C and the program C are stored in association with each other. This indicates that when the target value used by the determination unit 320 for the determination is the target value C, the imaging program changed by the change unit 330 is the program C. The table shown in FIG. 4 may be stored in a memory provided in the control device 300, or may be stored in an external storage device. Further, when a plurality of correspondences as shown in FIG. 4 are used, the determination unit 320 makes a determination using the target value A, the change unit 330 changes the imaging program to the program A, and then the determination unit 320 makes a determination. The target value used for determination may be changed by the determination unit 320 each time the imaging program is changed, such as changing the target value to be used to the target value B and proceeding with the process. Further, when a plurality of target values and programs are used, the target values and programs to be used may be rotated and used.

Further, a plurality of specified times may be provided. Similar to the plurality of target values shown in FIG. 4, each specified time is associated with a plurality of imaging programs, and the changing unit 330 sets an imaging program to be changed according to the specified time. Is also good. Further, similarly to the change of the target value described above, the specified time used by the change unit 330 may be changed every time the image pickup program is changed. Further, the combination of the target value and the specified time may be associated with the imaging program. In this case, the changing unit 330 changes the imaging program based on the target value and the specified time. Further, as a trigger for changing the imaging program, a change in the numerical value measured by the water quality instrument may be used in combination. Among the water quality meters, for example, the water quality of the raw water may be measured using a turbidity meter or an SS meter, and the target value and the imaging program may be switched according to the change in the measured values.

By changing the state of the flocs existing in the tank 100 as a subject, there is a possibility that the flocs in the image captured by the image pickup apparatus 200 cannot be identified due to the influence of the light from the light source 400. In the present invention, in a state where the light source 400 irradiates the imaging range of the imaging device 200 with light, the control device 300 determines the feature amount in the image obtained by capturing the water stored in the tank 100 by the imaging device 200. The image pickup program executed by the image pickup apparatus 200 is changed. Therefore, an optimum image can be obtained without changing the intensity of the light emitted from the light source 400, and an appropriate value can be measured for the aggregated state in the reaction vessel. Further, since the imaging range is extremely small (narrow), it is possible to avoid the phenomenon that the degree of recognition of flocs (edges) in the imaging range varies depending on the position.
(Second embodiment)

FIG. 5 is a diagram showing a second embodiment of the water treatment system of the present invention. As shown in FIG. 5, the water treatment system in this embodiment includes a tank 100, an image pickup device 201, a control device 301, and a light source 400. The tank 100 and the light source 400 are the same as those in the first embodiment.

FIG. 6 is a diagram showing an example of the internal configuration of the image pickup apparatus 201 shown in FIG. As shown in FIG. 6, the image pickup apparatus 201 shown in FIG. 5 has a color sensor 211, an infrared sensor 221, a program execution unit 231 and a storage unit 241. As shown in FIG. 6, the image pickup apparatus 201 has an image sensor including at least a color sensor 211 and an infrared sensor 221. Note that FIG. 6 shows only the main components related to the present embodiment among the components included in the image pickup apparatus 201 shown in FIG.

The color sensor 211 is a kind of general photoelectric sensor that emits light and receives light reflected by an object. The infrared sensor 221 is a commonly used image sensor that detects infrared rays. The program execution unit 231 is a processor that reads out the image pickup program determined by the control device 301 from the storage unit 241 and executes it. The storage unit 241 stores a plurality of programs executed by the program execution unit 231.

FIG. 7 is a diagram showing an example of the internal configuration of the control device 301 shown in FIG. As shown in FIG. 7, the control device 301 shown in FIG. 5 has a calculation unit 310, a determination unit 320, and a change unit 331. Note that FIG. 7 shows only the main components related to the present embodiment among the components included in the control device 301 shown in FIG. The calculation unit 310 and the determination unit 320 are the same as those in the first embodiment.

The change unit 331 changes at least one of the image sensor and the image pickup program based on the feature amount calculated by the calculation unit 310. Specifically, the change unit 331 changes at least one of the image sensor and the image pickup program based on the result of the determination made by the determination unit 320.

The water treatment method in the water treatment system shown in FIG. 5 will be described below. FIG. 8 is a flowchart for explaining an example of a water treatment method in the water treatment system shown in FIG.

The program execution unit 231 of the image pickup apparatus 201 is executing a program set to be executable at this time. The image pickup apparatus 201 captures and captures an image of agglomerates in water stored in the tank 100 (step S11). At this time, it may be the color sensor 211 or the infrared sensor 221 that captures the image of the agglomerates in the water stored in the tank 100. Then, the calculation unit 310 acquires the image captured by the image pickup apparatus 201. In this acquisition method, for example, the image captured by the image pickup device 201 may be transmitted to the control device 301 and acquired by the calculation unit 310, or the calculation unit 310 may capture the image captured by the image pickup device 201 and use a memory or the like. The image data stored in the storage device may be read out from the storage device.

Then, the calculation unit 310 calculates the feature amount from the image captured (acquired) by the image pickup device 201 (step S12). At this time, the calculation unit 310 calculates the number of edge pixels from the image captured (acquired) by the image pickup apparatus 201 and uses it as a feature amount. At this time, the calculation unit 310 detects as an edge a pixel in which the color difference (for example, the difference in RGB values) of the pixels adjacent to each other in the image captured (acquired) by the image pickup apparatus 201 is equal to or larger than the threshold value, and the detection is detected. The number of edges (number of pixels) may be calculated as the number of edge pixels.

Subsequently, the determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 satisfies the preset target value (step S13). Specifically, the determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 is less than the target value. If the feature amount is below the target value, the feature amount does not satisfy the target value, and if the feature amount is not below the target value, the feature amount satisfies the target value. When the determination unit 320 determines that the feature amount calculated by the calculation unit 310 is not less than the target value, the process of step S12 is performed. On the other hand, when the determination unit 320 determines that the feature amount calculated by the calculation unit 310 is less than the target value, the change unit 331 determines whether or not the number of times the program is switched is less than the preset threshold value. (Step S14). When the change unit 331 determines that the number of times the program is switched is less than the threshold value, the change unit 331 changes the image pickup program executed by the image pickup apparatus 201 (step S15). When the changing unit 331 changes the imaging program, the counter for counting the number of switchings is incremented by one. The value indicated by this counter is used for the comparison process in step S14. Then, the program execution unit 231 of the image pickup apparatus 201 reads out the corresponding image pickup program from the storage unit 241 and executes it. On the other hand, in step S14, when the change unit 331 determines that the number of times the program is switched is not less than the threshold value, the change unit 331 changes the image sensor (step S16). For example, when the image sensor currently capturing an image is the color sensor 211, the changing unit 331 changes the image sensor for capturing the image to the infrared sensor 221. After that, the image pickup apparatus 201 takes an image using the modified image sensor.

As described above, in a state where the light source 400 irradiates the imaging range of the imaging device 201 with light, the control device 301 determines the feature amount in the image obtained by capturing the water stored in the tank 100 by the imaging device 201. The image pickup program executed by the image pickup apparatus 201 or the image sensor included in the image pickup apparatus 201 is changed. Therefore, an optimum image can be obtained without changing the intensity of the light emitted from the light source 400, and an appropriate value can be measured for the aggregated state in the reaction vessel.
(Third embodiment)

FIG. 9 is a diagram showing a third embodiment of the water treatment system of the present invention. As shown in FIG. 9, the water treatment system in this embodiment includes a tank 100, image pickup devices 202-1 and 202-2, a control device 302, and a light source 400. The tank 100 and the light source 400 are the same as those in the first embodiment.

The image pickup devices 202-1 and 202-2 may be image pickup devices having the same specifications as each other, or may be image pickup devices having different specifications from each other. The image pickup devices 202-1 and 202-2 take an image of the agglomerates in the water stored in the tank 100. The imaging range of the imaging devices 202-1 and 202-2 is, for example, a range of 30 mm × 30 mm to 600 mm × 600 mm in the tank 100. If a high-quality image sensor is used, it is possible to capture flock even when shooting a wide imaging range from a distance, but the particle size of the floc that is the subject is extremely small, and the image sensor that can capture a wide range is very expensive. From this point of view, it is desirable to take an image in a shooting range of about 30 mm × 30 mm to 300 mm × 300 mm. The image pickup devices 202-1 and 202-2 may be, for example, an image sensor (camera) that captures an image of water. When the image pickup devices 202-1 and 202-2 are image sensors, the image pickup devices 202-1 and 202-2 are cameras that capture images of water in the tank 100 at time intervals equal to or less than a preset time interval. (For example, a camera for capturing a moving image) may be used.

FIG. 10 is a diagram showing an example of the internal configuration of the control device 302 shown in FIG. As shown in FIG. 10, the control device 302 shown in FIG. 9 has a calculation unit 310, a determination unit 320, and a change unit 332. Note that FIG. 10 shows only the main components related to the present embodiment among the components included in the control device 302 shown in FIG. The calculation unit 310 and the determination unit 320 are the same as those in the first embodiment.

The change unit 332 changes the image pickup program executed by the image pickup devices 202-1 and 202-2 or the image pickup device for capturing an image based on the feature amount calculated by the calculation unit 310. When the changing unit 332 changes the imaging devices 202-1 and 202-2 for capturing an image, if the imaging device currently capturing the image is the imaging device 202-1, the changing unit 332 captures the image. The image pickup device is changed to the image pickup device 202-2. If the image pickup device currently capturing an image is the image pickup device 202-2, the changing unit 332 changes the image pickup device for capturing the image to the image pickup device 202-1. Specifically, the change unit 332 changes the image pickup program executed by the image pickup devices 202-1 and 202-2 or the image pickup device for capturing an image based on the result of the determination made by the determination unit 320. More specifically, when the determination unit 320 determines that the feature amount calculated by the calculation unit 310 does not satisfy the target value which is a preset threshold value, the change unit 332 keeps the state for a long time. If exceeds the preset specified time, the image pickup program executed by the image pickup devices 202-1 and 202-2 or the image pickup device for capturing the image is changed. It should be noted that a plurality of the target values may be set, and in that case, a plurality of imaging programs corresponding to the respective target values may be set.

The water treatment method in the water treatment system shown in FIG. 9 will be described below. FIG. 11 is a flowchart for explaining an example of a water treatment method in the water treatment system shown in FIG.

Of the image pickup devices 202-1 and 202-2, the case where the image pickup device 202-1 is currently performing image pickup will be described as an example. First, the image pickup apparatus 202-1 captures and captures an image of the agglomerates in the water stored in the tank 100 (step S21). Then, the calculation unit 310 acquires the image captured by the image pickup apparatus 202-1. As this acquisition method, for example, the image captured by the image pickup device 202-1 may be transmitted to the control device 302 and acquired by the calculation unit 310, or the calculation unit 310 captures the image by the image pickup device 202-1. The image data stored in a storage device such as a memory may be read from the storage device.

Then, the calculation unit 310 calculates the feature amount from the image captured (acquired) by the image pickup apparatus 202-1 (step S22). At this time, the calculation unit 310 calculates the number of edge pixels from the image captured (acquired) by the image pickup apparatus 202-1 and uses it as a feature amount. At this time, the calculation unit 310 detects as an edge a pixel in which the color difference (for example, the difference in RGB values) of the pixels adjacent to each other in the image captured (acquired) by the image pickup apparatus 202-1 is equal to or larger than the threshold value, and detects the pixel as an edge. The number of detected edges (number of pixels) may be calculated as the number of edge pixels.

Subsequently, the determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 satisfies the preset target value (step S23). Specifically, the determination unit 320 determines whether or not the feature amount calculated by the calculation unit 310 is less than the target value. If the feature amount is below the target value, the feature amount does not satisfy the target value, and if the feature amount is not below the target value, the feature amount satisfies the target value. When the determination unit 320 determines that the feature amount calculated by the calculation unit 310 is not less than the target value, the process of step S22 is performed. On the other hand, when the determination unit 320 determines that the feature amount calculated by the calculation unit 310 is less than the target value, the change unit 332 exceeds the preset specified time for the continuous state. It is determined whether or not (step S24). When the change unit 332 determines that the time during which the state continues exceeds the specified time, the change unit 332 changes the image pickup program executed by the image pickup device 200, or changes the image pickup device for capturing an image to the image pickup device 202-. Change from 1 to the image pickup apparatus 202-2 (step S25). When the change unit 332 changes the image pickup program, the image pickup apparatus 202-1 executes the changed image pickup program to perform image pickup thereafter. When the changing unit 332 changes the image pickup device for capturing an image to the image pickup device 202-2, after that, the image pickup device 202-2 captures an image of agglomerates in water stored in the tank 100.

In this way, with the light source 400 irradiating the imaging range of the imaging devices 202-1 and 202-2 with light, the control device 302 receives the water stored in the tank 100 by the imaging devices 202-1 and 202-2. The image pickup program executed by the image pickup devices 202-1 and 202-2 is changed, or the image pickup device for capturing the image is changed based on the feature amount in the captured image. Therefore, an optimum image can be obtained without changing the intensity of the light emitted from the light source 400, and an appropriate value can be measured for the aggregated state in the reaction vessel.
(Application example 1)

FIG. 12 is a flow chart showing a first application example of the water treatment system of the present invention. In the water treatment system shown in FIG. 12, the reaction tank 101 and the coagulation tank 102 corresponding to the tank 100 in the above-described form, the settling tank 103, the control device 300, the image pickup device 200, and the plurality of coagulants are each injected. It has an addition device 401. The reaction tank 101 is a tank to which the raw water to be treated is supplied and the inorganic flocculant 411-1 and the pH adjuster 411-2 are injected into the water to be treated by using the addition device 401. The coagulation tank 102 is a tank connected to the outlet of the reaction tank 101 via a flow path. The coagulation tank 102 is a tank in which the polymer is injected into the water to be treated supplied from the reaction tank 101 by using the addition device 401, and at least one of the cationic polymer 411-3 and the anionic polymer 411-4 is injected. It is a tank to be used. When injecting the cationic polymer 411-3 into the coagulation tank 102, the anionic polymer 411-4 may be injected into the flow path connecting the coagulation tank 102 to the settling tank 103. The settling tank 103 is a tank connected to the outlet of the coagulation tank 102 via a flow path. The settling tank 103 corresponds to a solid-liquid separating means for separating agglomerates and clear water. Each of the reaction tank 101, the coagulation tank 102 and the settling tank 103 may be provided with a stirring mechanism. Each of the image pickup device 200 and the control device 300 is the same as that in the first embodiment. The control device 300 determines the state of the agglomerates based on the image captured by the image pickup device 200, and based on the result, the coagulant 411-1 to each of the reaction tank 101, the coagulation tank 102, and the settling tank 103. A control signal for controlling the injection of 411-4 is transmitted to the addition device 401. The addition device 401 controls the injection (injection amount) of the coagulants 411-1 to 411-4 according to the control signal transmitted from the control device 300. Further, a water quality meter (turbidity meter, SS meter, etc.) for measuring the quality of raw water may be installed.

In the water treatment system shown in FIG. 12, minute flocs are formed from the suspended suspension in the reaction vessel 101 by injecting the inorganic flocculant 411-1 into the water to be treated. The minute flocs are coarsened by injecting at least one of the cationic polymer 411-3 and the anionic polymer 411-4 in the coagulation tank 102. The coarsened flocs settle as agglomerates in the settling tank 103. As a result, the water to be treated containing the suspended suspension is solid-liquid separated into the agglomerate and the supernatant water which is the clear water. The agglomerates deposited on the bottom of the settling tank 103 are discharged as sludge, and the supernatant water in the settling tank 103 is discharged as treated water.

Further, in the water treatment system shown in FIG. 12, in order to monitor the aggregation state and control the injection amount of the flocculant, particularly the inorganic flocculant 411-1, the image pickup device 200, the control device 300, and the addition device 401 are used. It is provided. The image pickup apparatus 200 is installed above the reaction tank 101 so that the water in the reaction tank 101 can be imaged. The image captured by the image pickup device 200 is processed by the control device 300. The specific processing performed by the control device 300 is as described in the first embodiment. Each of the addition devices 401 controls the injection amount of the flocculant according to the control signal transmitted from the control device 300. As the image pickup device 200, the image pickup device 201 according to the second embodiment can be applied. Further, as the control device 300, the control device 301 according to the second embodiment can be applied.
(Application example 2)

FIG. 13 is a flow chart showing a second application example of the water treatment system of the present invention. The difference between the water treatment system shown in FIG. 13 and the water treatment system shown in FIG. 12 is the installation position of the image pickup apparatus 200. In the water treatment system shown in FIG. 12, the image pickup device 200 was installed above the reaction tank 101 so as to be able to take an image of the water in the reaction tank 101, but in the water treatment system shown in FIG. 13, the image pickup was performed. The device 200 is installed above the coagulation tank 102 so that the water in the coagulation tank 102 can be imaged.
(Application example 3)

FIG. 14 is a flow chart showing a third application example of the water treatment system of the present invention. The difference between the water treatment system shown in FIG. 14 and the water treatment system shown in FIG. 12 is the number of image pickup devices. In the water treatment system shown in FIG. 12, one image pickup device 200 was installed as an image pickup device, but in the water treatment system shown in FIG. 14, two image pickup devices 202-1 and 202- were installed as image pickup devices. 2 is installed. The operations of the image pickup devices 202-1 and 202-2 and the control device 302 are as described in the third embodiment.

In the above-mentioned application example, coagulation and precipitation have been described, but any system may be used as long as it is a system that performs solid-liquid separation including coagulation. For example, the present invention can be applied to coagulation-pressurized flotation, coagulation filtration, and the like. Further, the inorganic flocculant 411-1 added to the reaction tank 101 by the addition device 401 is not limited to aluminum-based (PAC, aluminum sulfate band, etc.) and iron-based (poly iron, ferric chloride). Further, the polymer may be a cation or an anion. When the image pickup apparatus 200, 202-1, 202-2 is an image sensor, it may be installed at a position where the inside of the reaction tank 101 is imaged as in the above-described embodiment, or the inside of the coagulation tank 102 is imaged. However, considering the time lag in the tank, it is desirable to install it in the position where the inside of the reaction tank 101 is imaged. Further, when the image pickup devices 200, 202-1, 202-2 are image sensors, the image pickup devices 200, 202-1, 202-2 may be any as long as they can determine the agglomeration state of flocs (aggregates). , It is desirable to have a device that can detect the number of edges of flocs, including a device that performs image processing.

In the above, each component has been assigned to each function (process), but this allocation is not limited to the above. Further, the above-mentioned form is merely an example of the configuration of the constituent elements, and the present invention is not limited to this. Further, each embodiment may be combined.

The processes performed by the control devices 300 to 302 described above may be performed by logic circuits manufactured according to the purpose. Further, a computer program (hereinafter referred to as a program) in which the processing content is described as a procedure is recorded on a recording medium readable by the control devices 300 to 302, and the program recorded on the recording medium is recorded on the control devices 300 to 302. It may be read and executed. Recording media that can be read by the control devices 300 to 302 include floppy (registered trademark) discs, optical magnetic discs, DVDs (Digital Versailles Disc), CDs (Compact Disc), Blu-ray (registered trademark) Discs, and USB (registered trademark). Refers to a transferable recording medium such as a Universal Serial Bus memory, a memory such as a ROM (Read Only Memory) and a RAM (Random Access Memory) built in the control devices 300 to 302, an HDD (Hard Disk Drive), and the like. .. The program recorded on the recording medium is read by the CPUs provided in the control devices 300 to 302, and the same processing as described above is performed under the control of the CPU. Here, the CPU operates as a computer that executes a program read from a recording medium in which the program is recorded.

100 Tanks 200, 201,202-1,202-2 Imaging device 211 Color sensor 221 Infrared sensor 231 Program execution unit 241 Storage unit 300 to 302 Control device 310 Calculation unit 320 Judgment unit 330 to 332 Change unit 400 Light source

Claims (8)

A reaction tank into which water to be treated containing suspended solids flows in,
An image pickup device that captures an image of agglomerates in water stored in the reaction vessel into which a coagulant is injected, and an image pickup device.
A light source that irradiates the imaging range of the imaging device with light,
A water treatment system including a control device that calculates a feature amount from an image captured by the image pickup device and changes the image pickup program executed by the image pickup device based on the calculated feature amount. In the water treatment system according to claim 1,
The control device determines whether or not the feature amount satisfies a preset target value, and when the time when the feature amount does not satisfy the target value exceeds a preset predetermined time, the image pickup device A water treatment system that changes the imaging program. Claim In the water treatment system according to claim 2,
The control device changes the image pickup program of the image pickup device based on the plurality of preset image pickup programs, the plurality of target values for changing each of the plurality of image pickup programs, and the plurality of predetermined times. Water treatment system. In the water treatment system according to any one of claims 1 to 3,
The control device is a water treatment system that calculates the number of edge pixels as the feature amount from the image captured by the image pickup device. In the water treatment system according to any one of claims 1 to 4.
The image pickup apparatus has a plurality of image sensors including at least a color sensor and an infrared sensor.
The control device is a water treatment system that changes at least one of the image sensor and the image pickup program based on the feature amount. A calculation unit that calculates the feature amount from the image taken by the image pickup device that takes an image of the agglomerates in the water stored in the reaction tank into which the water to be treated containing the suspended solids is injected and the coagulant is injected.
A control device having a change unit that changes an image pickup program executed by the image pickup device based on a feature amount calculated by the calculation unit. The process of capturing an image of the agglomerates in the water stored in the reaction vessel into which the water to be treated containing suspended solids is injected and the coagulant is injected.
The process of calculating the feature amount from the captured image and
A water treatment method for changing an image pickup program executed by an image pickup apparatus that images an image based on the calculated feature amount. On the computer
The procedure for calculating the feature amount from the image taken by the image pickup device that takes an image of the agglomerates in the water stored in the reaction tank into which the water to be treated containing the suspended solids is injected and the coagulant is injected.
A program for executing a procedure for changing an imaging program executed by the imaging apparatus based on the calculated feature amount.

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