JP2539179B2 - Device for monitoring substances suspended in water - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a monitoring apparatus for automatically recognizing the state of flocculation of substances suspended in water at a water purification plant or the like by using image recognition technology, and particularly, to improve recognition accuracy. The present invention relates to a monitoring device suitable for

[0002]

2. Description of the Related Art In a water purification plant, since the turbidity particle size of raw water is small, they are aggregated to form aggregates (flocs) and the flocs are settled. The quality of the formation of flocs directly affects the subsequent treatment processes such as precipitation and filtration processes. Poor floc formation aggravates floc sedimentation in the settling basin. Further, the deterioration of the sedimentation property causes an overload phenomenon of the filter basin. Furthermore, if the recognition of excessive load is delayed, it will lead to a serious accident such as the outflow of minute flocs from the filter basin.

Therefore, it is necessary to monitor flocs. In the past, surveillance of flocs was performed by surveillance personnel. FIG. 18 shows an example thereof. A paddle 2 for floc stirring is provided in the floc formation pond 1 to perform floc stirring.
A watchman visually monitors the flocs in this pond. However, it is difficult to quantitatively grasp the flock by this visual observation.

FIG. 19 shows an example in which the industrial television camera 4 and the projector 7 are installed in the flock formation pond 1. A drive circuit 8, an intake circuit 5, and a CRT 6 are provided in the building 8A. The drive circuit 8 supplies a power supply voltage to the projector 7. The reason why the projector 7 is provided is that the inside of the flock formation pond 1 is muddy and dark, and the TV camera 4 cannot capture the flock only with natural light. CRT6
Displays an image captured by the TV camera 4, and a monitor monitors the displayed image.

[0005]

This conventional example employs a mechanism in which the inside of the flock formation pond 1 is imaged by the TV camera 4, but finally, a method of visually observing the screen of the CRT 6 is used. I am taking it. Therefore, it is still difficult to quantitatively grasp the flock formation status.

Further, if the formation state of the flocs cannot be quantitatively grasped, it is difficult to adjust the control amount of the paddle rotation speed and the amount of the coagulant to be introduced to control the required floc size.

It is an object of the present invention to provide a monitoring device for accurately quantifying and grasping the formation state of substances suspended in water.

[0008]

SUMMARY OF THE INVENTION The above object is suspended in water
Equipped with agglomerate forming means for growing agglomerates of suspended matter
A floodlighting device installed in the pond to illuminate the suspended water, and below the water surface.
Information and reference particle size of growth aggregates larger than the standard particle size
Suspended water information mixed with smaller micro-aggregate information
The detection means for detecting and the detection range of the detection means are
A means for limiting the front surface of the detection surface of the step to a predetermined range;
Total aggregation obtained from the information on the suspended water taken in by the output means
Calculate the concentration of the number of growing aggregates with respect to the number of aggregates
From the above, there is provided a determining means for determining the formation state of the aggregate , and it is achieved.

The above object is preferably judged by the judging means.
This is achieved by providing display means for displaying the fixed result .

[0010] The above-mentioned object is also the coagulation of suspended substances in suspended water.
Installed in a pond equipped with agglomerate forming means for growing agglomerates
A floodlight that illuminates the suspended water and a reference grain installed below the surface of the water.
Information on growth aggregates larger than the diameter and fine particles smaller than the standard particle size
Detection for detecting suspended water information in which small aggregate information is mixed
Means and the detection range of the detection means in front of the detection surface of the detection means.
Means for limiting the surface area to a predetermined range, and
For the total number of aggregates obtained from the above-mentioned suspended water information
The concentration of the number of growing aggregates is calculated from the concentration
Judgment means for judging the formation status and the judgment result
Further comprising a control means for controlling said agglomerates forming means based on, is achieved.

[0011]

[Function] When the aggregate of suspended solids is detected by the detection means,
Innumerable aggregates are taken in as overlapping information.
From this information, the size of the agglomerate is accurately determined, and the agglomerate is
To determine the formation status of
It is necessary to identify from the overlapping information. This identification
For example, it is possible because of the difference in the brightness level of the agglomerate detection,
Limit the detection range of the detection means to a predetermined range in front of the detection surface
As a result, it is possible to identify with higher accuracy.

[0012]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to the drawings. FIG. 20 is a schematic overall configuration diagram of a monitoring device according to an embodiment of the present invention. In this embodiment, the image recognition device 9
Is provided. The image recognition device 9 captures the image captured by the TV camera 4 as a binarized image, calculates the area for the size of the flock, calculates the distribution density of the flock, and the like, and quantitatively determines the flock formation state. Figure out CR
At T6, the captured image may be directly displayed, or quantified data may be displayed.

FIG. 21 is a cross-sectional view of the flock formation pond 1 in which the monitoring device according to the embodiment of the present invention is installed. The flock formation pond 1 is composed of three flock formation ponds 1A, 1B and 1C. The flock formation ponds 1A, 1B and 1C are connected in cascade via a flow path 13. Flock pond 1A, 1B, 1C
The paddles 2A, 2B, and 2C for stirring flocs are provided in the to stir the flocs. Each paddle 2A, 2B, 2C has impellers 60, 61, 62 having a cross shape, and these impellers have a role of floc agitation. The flow path 13 has a function of a flow regulating wall. The flow path 13 is a flow hole from the upper surface to the bottom surface of the floc pond, but it may be a part thereof.

FIG. 22 is an overall perspective view of the flock formation pond 1. Paddle 2A, 2B. 2C is a floc formation pond 1A,
Stir the inside along the longitudinal direction of 1B and 1C. A rapid mixing pond (not shown) is provided in front of the floc formation pond 1, and raw water and a group of minute flocs mixed therein flow into the floc formation pond 1. The paddle agitates the micro flocs, collides the flocs with each other, and gradually agglomerates the flocs. This aggregation increases the particle size of flocs. The particle size is larger in the floc formation pond 1B than in the floc formation pond 1A and in the floc formation pond 1C than in the floc formation pond 1B. That is, the particle size increases with each passage through the floc pond.

Therefore, a flock monitoring device is provided in the last flock pond 1C. This is because the purpose is to monitor the final degree of flock formation. This flock pond 1
C is also the first stage of the sedimentation basin. That is, when the purpose is to monitor the final degree of flock formation, the flock image recognition device of this configuration is arranged in the former stage of the sedimentation basin, that is, near the outlet of the third pond of the flock formation basin 1. .
On the other hand, of course, when monitoring the process of flock formation, it may be installed in the first or second pond of the flock formation pond 1. This is discussed in FIGS. 10, 11 and 12 below. An example of this case is shown in FIG.

In the figure, 20 is an airtight container, 21 is an observation window (usually a glass plate), 22 is a wiper, 23 is a wiper driving device, 24 is a back screen, 25A, 25B and 25C are baffles and 4 are industrial. TV camera (ITV), 31 is a close-up lens, 7 is a projector, 5 is an ITV image capturing circuit, 8 is a projector drive circuit, 42 is a light-shielding cover, 9 is an image recognition device,
Reference numeral 60 is a control device.

When viewed from the front, the wiper 22 has a function of moving the surface of the glass surface (observation window) 21 left and right to wipe off dirt.

The operation of this embodiment is as follows. The ITV 30 fixed in the airtight container 20 magnifies and recognizes the image of the flock 12 in the flock formation pond 10 through the observation window 21 by the close-up lens 31. The wiper 22 driven by the wiper drive device 23 operates periodically to remove dirt on the surface of the observation window 21.

A back screen 24 is installed in front of the observation window 21 in order to accurately recognize the floc group with high contrast. Back screen 24 is Flock 3
Considering that the color of is a white type, it is desirable to make it a black type in order to accurately recognize the floc group with high contrast.

By the way, the flock formation pond 1 is open to the atmosphere for the purpose of constantly monitoring the flock. Therefore, the amount of light incident on the floc formation pond 1C changes with the passage of time and is strongly influenced by the weather. A floodlight 7 is usually installed as a means for constantly monitoring the flock. For the purpose of mere monitoring that depends on the maintenance manager's vision, installation of the projector 7 is sufficient.

However, the change in ambient illuminance strongly affects the image recognition accuracy of the floc group. For example, if the illuminance is low, the flock is recognized as small, and conversely, if the illuminance is high, the flock is recognized as large. In order to remove this effect, it is necessary not to be influenced by changes in illuminance as a natural phenomenon. In the present embodiment, a light-shielding cover 42 is provided to darken the surroundings so that the illuminance of only a certain condition of the projector 7 is maintained. In addition, when the light-shielding cover 42 is not provided, the lighting condition may be controlled at appropriate times by using the projector driving circuit 8. Further, if circumstances permit, it is better to install a plurality of floodlights 7 and irradiate the floc group in multiple directions.

By the way, the floc group is in a fluid state,
The moving speed is about 5 to 50 cm / sec. Therefore, the image recognition of the floc group needs to be performed at high speed. However, in the case of 512 × 480 pixels, even if a high-speed image recognition device is applied, pixel recognition requires 11 milliseconds. Therefore, in order to accurately recognize an image at the current speed of the image recognition apparatus, it is important to reduce the moving speed of the flock group as much as possible. In this case, it is considered that the water is moving in a fixed direction in the flock formation pond 1C by the stirring paddle 2C.

That is, in order to suppress the movement of water as much as possible in the flock formation pond 1C, a baffle plate is arranged so as to block the movement direction. FIG. 2 is a three-dimensional view of FIG. 1, in which water is indicated by an outline arrow,
Baffles when moving from top to bottom
The layout of 25A, 25B, and 25C is shown. At this time, the baffles 25B and 25C are configured so as not to interfere with the light beam from the projector 7 and to allow the light beam to be incident on the plane.

In FIG. 3, the water is as shown by the white arrow,
The arrangement of the baffles 25A, 25B, 25C, 25D and 25E when moving in parallel to the back screen 24 from the lateral direction is shown. FIG. 4 shows the arrangement of the baffles 25A and 25B when the ITV 4 is arranged with the wall surface 10A of the floc formation pond 1C spaced apart. Further, FIG. 5 is a three-dimensional view thereof.

FIG. 12, which will be described later, shows a situation in which the ITV 4 actually recognizes the flock formation in consideration of the points to be noted in the image recognition of the flock group as described above. Here, the black background of Flock 3 is the back screen.
This is because 24 are placed. Although the projector 7 is not shown, the illumination is emitted from two locations on both sides in the horizontal direction.

In this way, the flock image information captured by the ITV 4 is transmitted to the image recognition device 9 via the ITV capturing circuit 5.

In the image recognition device 9, in order to extract information useful for water quality management of the water purification plant from the obtained image information,
Various calculations such as particle size and distribution of floc group are performed.
Although a specific method will be described later, for example, binarization processing is performed to calculate the particle size of each floc in the floc group to obtain the representative particle size of the floc group.

The image recognition controller 9 controls this time sequence. That is, the image recognition control device 9, which will be described in detail later, adjusts the recognition time and the number of times of recognition of the flock image information by the image recognition device 9 and the ITV 4. In general, the flock formation situation rarely changes rapidly in a short time, so the series of flock monitoring operations described above
It is sufficient to carry out once every 10 minutes to 1 hour.

FIG. 6 shows a concrete signal processing process in the image recognition device 9 after the image information of the floc group is taken in by the ITV 4 in the device constructed as described above. explain.

Here, 100 is a recognition timing control circuit, and 1
01 is an A / D conversion circuit, 102 is a threshold input circuit, 103 is a binarization circuit, 104 is a labeling circuit, 105 is a particle size calculation mode designation circuit, 106 is a particle size measurement circuit, 107 is a particle size comparison circuit, and 108A ，
Each of 108B, 108C, ... 108Z is a number storage circuit, 109 is a recognition number control circuit, and 110 is a particle size distribution calculation display circuit.

Further, FIG. 7 shows an image surface of a floc group recognized by ITV4. Since the floc group is a grayscale image, the boundary between the floc 3 and water is not clear in reality, but only the outline of the floc group is shown for simplicity. The brightness level of the floc group is high and white, while the brightness level of water is low and black because the back screen 24 is arranged in the background.

In FIG. 6, the recognition timing control circuit 10
0 controls the time interval (frequency) for recognizing the flock image obtained via the ITV 4 and the ITV controller 5 shown in FIG. 1 and capturing the image information. Next, the A / D conversion circuit 101 receives the obtained analog signal of the brightness information, for example, the screen signal of FIG. 7, and converts the signal into digital signals one by one. The converted digital signal is input to the threshold input circuit 10
The binarization circuit 103 performs binarization processing based on the threshold value designated by 2.

For example, FIG. 8 shows a case where the distribution of brightness levels is displayed by scanning the line AA on the screen of FIG.
Here, the brightness level is displayed in 8 bits (256 steps), and the upper direction of the vertical axis has lower brightness, while the lower direction has high brightness. Since the flock 12 is white, the brightness is high. That is, the portion that is a valley in the downward direction represents a flock.

In this luminance distribution, the threshold input circuit 102
Each pixel is binarized by the binarization circuit 103 on the basis of the threshold value designated by, for example, the luminance designated by the BB line. The threshold value specified by the threshold value input circuit 102 is kept constant under constant illuminance, but can be operated by the operator.

In the binarization circuit 103, pixels having a luminance level higher than the threshold value are set to "1", while pixels having a luminance level lower than the threshold value are set to "0". Then, as shown in Fig. 14, the part corresponding to the flocs becomes "1" and the part corresponding to water becomes "0".

Examples of results of recognizing flocs in this manner are shown in FIGS. 10, 11 and 12. FIG. 10 is a diagram in which the floc group in the first pond 1A of the floc formation pond 1 is recognized and binarized, and FIG. 11 is the second of the floc formation pond 1
FIG. 12 is a diagram in which the floc group in the pond 1B is recognized and binarized, and FIG. 12 is a diagram in which the floc group in the third pond 1C of the floc formation pond 1 is recognized and binarized. From these figures, it is clear that the process of increasing the floc particle size can be clearly determined.

When the flocs are recognized, the representative particle size of the flocs is calculated next, but each floc is numbered before that. That is, the labeling circuit 104 independently recognizes each flock and immerses a number in each flock. Then, the particle size measuring circuit 106 calculates the representative particle size of each floc in the order of the numbers.

As shown in FIG. 13, the representative particle diameters include a unidirectional diameter Dc, a maximum diameter Dmax, a minimum diameter Dmin, an area circle equivalent diameter Dcir, and an equivalent circle peripheral major axis Dcl. Here, the constant direction diameter Dc indicates a certain diameter in the horizontal direction. Area circle equivalent diameter Dc
The ir and the equivalent circular circumference major axis Dcl are defined by the following expressions.

Dcir = √ (4S / π) (1) Dcl = L / 2 / π (2) where S is the area of the flock and L is the length of the flock periphery.

The grain size calculation mode designating circuit 105 designates a representative grain size to be adopted from these representative grain sizes. In this way, the particle size is calculated for each floc in accordance with the designated standard of the particle size.

In the particle size comparison circuit 107, the particle sizes of the flocs are compared with each other, and the number of flocs having each particle size is stored in a corresponding storage location, that is, the number storage circuits 108A, 108B, 108.
The number of them is stored in C, ... 108Z. Since the flock image is binarized, the minimum unit for measuring the particle size is one pixel. Therefore, assuming that the number of flocs corresponding to each particle size is Ni, for example, the number storage circuit 108A stores the number N1 of flocs whose particle size corresponds to one pixel, and the number memory circuit 108B stores the particle size of pixel 2 The number N2 of flocs corresponding to the number of flocs is stored, and the number storage circuit 108C displays the particle size of pixels 3
The number N3 of flocs corresponding to the number is stored. The result is shown in FIG.

By the way, in order to obtain the particle size distribution of the flocs with high accuracy, it is necessary to sample in a wide range within the floc formation pond. The particle size of flock is about 0.01 to 0.1 mm in one flock formation pond 1. On the other hand, in the third pond, of course, many small flocs are included, but the flocs grow to around 1 mm. The growth process of this floc is as shown in FIGS. 10, 11 and 12. It is necessary to use a microscope in order to recognize minute flock of about 0.01 mm, and it is practically difficult to recognize with a close-up lens.

In one of the flock molding ponds 1, the particle size of the flock is small, and therefore the number of flock is sufficiently large. However, in the third pond of the floc formation pond 1, since the particle size of the flocs is large, the number of flocs is small. When the number of flocs is small, it is necessary to recognize as many flocs as possible in order to accurately obtain the particle size distribution of the flocs. The number of flocs is preferably several hundreds or more.
Therefore, the recognition screen may be enlarged, but it becomes difficult to recognize the small flock. Therefore, the size of the screen on which both small and large flocks can be recognized in a balanced manner is naturally limited. As described above, in the case of the clean water flock, when the particle size distribution is accurately obtained, it is understood that the flock image information obtained by image recognition on one screen has a large variation in the particle size distribution and is insufficient. .

From these facts, it is necessary to temporarily store the information of the flock image obtained by image recognition, take in the images a plurality of times, and obtain the particle size distribution based on these stored information. Furthermore, in the case of flock formation pond 1,
Since the water is stirred by the stirring paddle 11, ITV
The front side of No. 4 considers that water containing new flocs is always flowing. In other words, a flock image is captured at regular time intervals, this is performed a plurality of times, and the particle size distribution of the flock is obtained based on this information.

The recognition number control circuit 109 of FIG. 6 specifies the number of times the flock image is recognized. If the number is less than this number, the process returns to the recognition timing control circuit 100. The recognition timing control circuit 100 captures an image at a specified timing, repeats the operation described above to calculate the particle size of flocs, and stores the number of each floc in the number storage circuits 108A, 108B, 108C, ... 108Z. Remember.

On the other hand, when the number of times of recognition is reached by the recognition number control circuit 109, the particle size distribution calculation display circuit 110 determines, based on the values of the number storage circuits 108A, 108B, 108C, ...
The number concentration distribution for each particle size is calculated. That is, the number concentration Mi of the particle diameter i is calculated by the following equation.

Mi = Ni / V / Nr (3) where V is the observation space volume by ITV4, and Nr
Is the number of recognitions designated by the recognition number control circuit 109.

It is needless to say that the number concentration distribution has a large amount of flocs having a minute particle diameter, and therefore the method shown in the volume concentration distribution may be adopted by assuming the flocs as spheres. Further, both the number of times of recognition in the recognition number control circuit 109 and the recognition timing in the recognition timing control circuit 100 are appropriately operated from the image recognition control device.

Next, an operation for determining whether or not the particle size of flocs is normal is carried out. As shown in FIG. 15, the particle size of the floc serving as a reference is determined, and this particle size is defined as Ds. The number concentration ratio of flocs having a particle size larger than Ds is calculated. A diagram for this calculation process is shown in FIG.

Among the signals output from the particle size distribution calculation display circuit 110, the signal portion corresponding to the particle size is targeted, and the magnitude relationship with the reference particle size Ds set by the reference particle size setting circuit 111 is calculated.
The particle size comparison circuit 112 compares them. Then, the number of flocs having a particle size larger than the reference particle size Ds is stored in the growth floc number concentration storage circuit 113. Let this number concentration be Mg. On the other hand, the number of flocs having a particle size smaller than the reference particle size Ds is stored in the minute floc number concentration storage circuit 114. Let this number concentration be Mm.

Next, the sum Mt of Mg and Mm is calculated and stored in the total floc number concentration storage circuit 115. The particle size comparison circuit 116 compares whether or not the ratio of the growth floc number concentration Mg to the total floc number concentration Mt is larger than a predetermined value r.

Mg / Mt ≧ r (4) That is, when Mg / Mt is larger than the predetermined value r, it means that there are many growth flocs, and therefore it is considered that the flocs are well formed. On the other hand, when Mg / Mt is smaller than the predetermined value r, it means that there are many fine flocs, and therefore, the formation state of flocs is considered to be defective.

Based on these determination results, an output signal for alarm can be output when the flock formation is defective. Similarly, it is possible to control the coagulant injection amount, the alkaline agent injection amount, and the rotation speed of the stirring paddle 2 based on the determination result of the equation (4).

17 (a) and 17 (b) show an example of a time chart of the flock recognition processing. For example, if the moving speed of the flock 3 flowing in front of the observation window 21 attached to the airtight container 20 as shown in FIG. 1 is vlcm / sec and the area for recognizing the image of the flock is l1 square, the flock will be The time T1 required to pass through the image recognition area from end to end is T1 = l1 / v1 (5). That is, the recognition timing control circuit 10 shown in FIG.
If the time interval for fetching the flock image of 0 is set to T1 or more, it is possible to always fetch new flock information. Of course, it is clear that the flock image may be captured within the T1 time interval.

Further, a series of processings for repeating the recognition operation for the recognition number Nr set in the recognition number control circuit 109 shown in FIG. 6 and calculating the number concentration distribution (T2 time is required) based on the data (hereinafter this series) The process of (1) is called a floc recognition step) is completed. These processes are performed by the image recognition device 9
It is performed at high speed, and the time (T1 + T2) required for it is very small, on the order of a few seconds.

Therefore, it is possible to repeat the floc recognition steps one after another after the floc recognition step at a certain time is completed, but in general, the responsiveness in the process control of the water purification plant (for example, immediately after chemical treatment) From the time it takes for the reaction of the drug to spread throughout the treatment process) is characterized by a long time of several tens of minutes to several hours.
For this reason, it is not necessary to repeat the flock recognition step all the time, and it is assumed that the flock recognition step is performed Ns times at every arbitrary time interval T3 {(T1 + T2) × Ns seconds are required}, and the free time T4 is used. Other processing in the image recognition device 9 (for example, fish tracking processing for monitoring poison inflow)
To improve the utilization efficiency of the image recognition device 9,
Greatly effective in terms of multipurpose use.

[0057]

EFFECTS OF THE INVENTION According to the present invention, the particle size distribution of agglomerates in the process of forming agglomerates of substances suspended in water can be objectively, quantitatively and highly accurately, from fine agglomerates to growing agglomerates. It is possible to perform on-line automatic measurement, and it is possible to accurately control the size of the aggregate to a required size.

[Brief description of drawings]

FIG. 1 is a block diagram of an apparatus for monitoring substances suspended in water according to an embodiment of the present invention.

FIG. 2 is an external view of a container in which the imaging unit shown in FIG. 1 is sealed.

FIG. 3 is a view showing a flow of water around a back screen provided on the front surface of the container shown in FIG.

FIG. 4 is a diagram showing an arrangement position in water of the baffle plate shown in FIG. 1.

5 is a front view of the container shown in FIG. 2. FIG.

6 is a configuration diagram of the image recognition apparatus shown in FIG.

FIG. 7 is a diagram showing a process of the image recognition device.

FIG. 8 is a diagram showing a process of the image recognition device.

FIG. 9 is a diagram showing a process of the image recognition device.

FIG. 10 is a diagram showing a binarized image of a substance suspended in water.

FIG. 11 is a diagram showing a binarized image of a substance suspended in water.

FIG. 12 is a diagram showing a binarized image of a substance suspended in water.

FIG. 13 is an explanatory diagram of the size of an aggregate.

FIG. 14 is a diagram showing a particle size distribution of an aggregate.

FIG. 15 is a diagram showing a particle size distribution of aggregates.

FIG. 16 is a configuration diagram of an image recognition device that calculates a concentration distribution of aggregates.

FIG. 17 is a processing time chart of the image recognition device.

FIG. 18 is an explanatory diagram of a conventional example in which flock monitoring is visually performed.

FIG. 19 is an explanatory diagram of a conventional example in which a flock imaged by ITV is displayed on a monitor and visually monitored.

FIG. 20 is a diagram showing the monitoring apparatus according to the embodiment of the present invention shown in FIG. 1 installed in a water purification plant.

FIG. 21 is an explanatory diagram of a flock formation pond.

FIG. 22 is an explanatory diagram of a flock formation pond.

[Explanation of symbols]

1, 1A, 1B, 1C ... Flock formation pond, 2 ... Paddle, 3
... Flock, 4 ... TV camera, 7 ... Projector, 9 ... Image recognition device, 60 ... Control circuit, 101 ... AD converter, 103 ... Binarization circuit, 104 ... Labeling circuit, 105 ... Particle size measuring circuit, 107
… Particle size comparison circuit, 108A to 108Z… Memory.

 ─────────────────────────────────────────────────── ─── Continuation of front page (72) Inventor Mikio Yoda 5-2-1 Omika-cho, Hitachi-shi, Ibaraki Hitachi Omika factory (72) Inventor Akihiro Tanaka 5-2-1 Omika-cho, Hitachi-shi, Ibaraki No. 1 Inside the Omika Factory of Hitachi, Ltd. (72) Inventor Shunji Mori 52-1 Omika-cho, Hitachi City, Ibaraki Prefecture (56) Inside the Omika Factory of Hitachi, Ltd. (56) Reference JP-A-54-143296 (JP, A) ) JP-A-52-99839 (JP, A) Actual development 55-150353 (JP, U) Actual development 55-150365 (JP, U)

Claims (3)

(57) [Claims] 1. Growing an agglomerate of suspended matter in suspended water
It is installed in a pond equipped with means for forming agglomerates to illuminate suspended water.
It is installed under the surface of the water and is larger than the standard particle size.
Information on long agglomerates and information on small agglomerates smaller than the standard particle size
And a detection means for detecting the suspended water information in which
The detection range of the means is a predetermined range from the front surface of the detection surface of the detection means.
And the suspension incorporated by the detection means.
The growth aggregation for the total number of aggregates obtained from water information
A monitoring device for a substance suspended in water, comprising: a determination unit that determines the concentration of the number of clumps and determines the formation state of aggregates from the concentration . 2. The method according to claim 1, wherein the judging means makes a judgment.
A monitoring device for a substance suspended in water, comprising a display means for displaying a result . 3. Growing an agglomerate of suspended matter in suspended water
It is installed in a pond equipped with means for forming agglomerates to illuminate suspended water.
It is installed under the surface of the water and is larger than the standard particle size.
Information on long agglomerates and information on small agglomerates smaller than the standard particle size
And a detection means for detecting the suspended water information in which
The detection range of the means is a predetermined range from the front surface of the detection surface of the detection means.
And the suspension incorporated by the detection means.
The growth aggregation for the total number of aggregates obtained from water information
Obtain the concentration of the number of clumps and judge the formation status of clumps from the concentration
An apparatus for monitoring a substance suspended in water, comprising: a determination unit for controlling the agglomerate formation unit based on a determination result of the determination unit.