JP2912977B2 - Coagulation state monitoring device - Google Patents

Description

Description: TECHNICAL FIELD The present invention relates to a coagulation state monitoring device in a water purification plant, a sewage treatment plant, and other industrial wastewater treatment processes, and in particular, assists in process operation management when coagulation is abnormal. It is about means.

[Prior Art] A conventional coagulation state monitoring technique will be described taking a water treatment process as an example.

In the conventional operation management method of the water treatment process, various water quality parameters such as water amount, water temperature, concentration, pH, alkalinity, and chlorine demand are measured, and the operation is performed so as to maintain the water quality well.

However, a technology capable of predicting the treatment performance or controlling the treatment efficiency has not yet been developed, including when the inflow water quantity and the water quality fluctuate as well as when it is stable. This is because it is difficult to model and control the water treatment process based only on the measured values of various parameters of the water quality, because the amount of inflow water and the water quality constantly fluctuate, and the treatment mechanism is complicated.

Therefore, in practice, the water treatment plant was operated using visual observation and the like.

In order to automate visual observation performed during actual plant operation, an image monitoring method in a state of floc formation has been proposed (JP-A-62-250919).

In addition, there has been proposed a method of performing operation management using empirical knowledge of an operator without relying on image monitoring, and there is an advantage that operation according to the actual situation is possible.

However, the operator's empirical knowledge has many vague parts, such as the fact that the scientific basis for causality is sparse, or the use of visual observation information, and the automated driving by computers incorporating this knowledge is not practical. Not reached.

The operation based on the experience of the operator can flexibly cope with the abnormal fluctuation and the unsteady state of the inflow water amount and the water quality.

However, recently, there are problems such as the aging of the operators and the shortage of labor becomes serious, and it is a major issue how to support the know-how of a skilled operator who has grasped the characteristics of the plant to a new operator.

[Problems to be Solved by the Invention] Hereinafter, problems of the conventional technology will be described by taking an example of a coagulation process in a water purification plant.

When floc is formed by aggregating suspended matter, the state of floc formation changes with the fluctuation of the water quality of the inflow water. Water quality factors that affect floc formation include raw water temperature, raw water turbidity, pH, alkalinity, etc., and operating factors such as coagulant injection amount and stirring power are known. The causal relationship with the resulting water quality has not been fully elucidated.

The conventional calculation control cannot cope with an unsteady state or an abnormal state such as during rainfall, so the operator visually observes the coagulation state of the turbidity and operates manually, and the quality of the water depends on the ability of the operator. There were drawbacks.

In addition, when a skilled operator who has experienced an abnormal state or an unsteady state in which processing is difficult in the past is replaced by another new operator, if the knowledge and experience are not properly inherited, there is a problem that the operation may be disabled.

In addition, abnormal conditions are at most about 30 days a year,
Operators who work in a processing facility in which a plurality of operators operate alternately have very few opportunities to experience an abnormal state. Therefore, a long period of time was required for the new operator to sufficiently visually determine the quality of the cohesion state and appropriately control the water quality.

A method of controlling the floc formation by performing image processing on the floc formation state has been proposed, for example, in Japanese Patent Application Laid-Open No. 62-250919. However, even if the aggregation state itself can be measured by image processing, as described above, the aggregation process is unknown. And it is difficult to properly cope with an abnormal state or an unsteady state. Although it has an image storage device,
There was no function to effectively use the stored image of the cohesion state for driving assistance of the operator.

An object of the present invention is to provide a coagulation state monitoring device having a function of supporting operation in an abnormal state or an unsteady state in which processing is difficult and capable of reliably inheriting knowledge of coagulation state determination by visual observation of a skilled operator. It is.

Means for Solving the Problems In order to achieve the above object, the present invention provides a means for imaging the state of aggregation in an agglutination reaction tank, a storage means for storing a video signal by the imaging means, A means for judging the cohesion state by means of: and a means for retrieving a stored video signal and displaying at least a normal video image stored in the past in parallel with the current video image when at least the coagulation abnormality is determined. A monitoring device is proposed.

The display means is a means for displaying at least the normal image stored in the past and the image showing the same abnormality in the past in parallel with the current image at least when it is determined that the aggregation is abnormal. You can also.

In any case, a means for storing the coagulation plant operation history and a means for guiding the operation based on the plant operation history when a similar abnormality is shown in the past may be provided.

More specifically, it is desirable that the display means is a means for displaying the current state and the past state in an array on the same screen.

It is also possible to add means for learning past history data and recalling the coagulant injection rate, and means for displaying the injection operation abnormal guidance when the difference between the recall rate and the actual injection rate exceeds a predetermined range. is there.

[Operation] In the present invention, the coagulation state is determined based on the water quality information and the image processing information, and coagulation is performed. In the case of an abnormality, the past history information is searched, and the coagulation state image and the plant operation status when the same state is shown in the past. And a normal image are arranged on the monitor screen so as to be able to be compared with the current value, so that driving is supported.

In the normal state, the stored images of the abnormal state and the normal state and the plant operation state can be arbitrarily displayed by an input device such as a mouse. It can be used for education on how to deal with it.

Example Next, an example of the present invention will be described with reference to the drawings.
The present invention can be applied to various plants. Here, an embodiment in which the present invention is applied to a water purification plant will be described.

FIG. 1 is a block diagram showing a system configuration of an embodiment of a coagulation state monitoring device according to the present invention in a water purification plant.

In FIG. 1, raw water guided from a river or lake (not shown) flows into a landing well 500. A water quality meter 510 is installed to measure the quality of the raw water. Water quality parameters include water temperature, turbidity, alkalinity, pH, electrical conductivity, residual chlorine concentration, chlorine demand, and the like. In addition, the water quantity and the water level are measured as physical quantities and stored in the plant data storage device 70.

Raw water is led from the landing well 500 to the rapid mixing pond 100. A liquid coagulant is injected into the rapid mixing pond 100 from a coagulant injection device 120. In some cases, an alkali agent is injected to increase the coagulation effect. The inside of the rapid mixing pond 100 is stirred by the stirrer 110. By stirring for 1 to 5 minutes, the particle size is 1 to 10
The micron-sized suspended fine particles are agglomerated to a coarse diameter of 10 to 100 μm to form micro flocs.

The water containing the microfloc of the rapid mixing pond 100 is led to the floc forming pond 200, where it grows into flocs.
The floc formation pond 200 has a flow straightening wall 2 having a plurality of holes on the wall.
It is partitioned by 00A and 200B. In the partitioned pond, stirring paddles 210A, 210B, 210C are installed and rotate slowly at a speed of about 1 to 10 rpm.

The residence time of the floc formation pond 200 is 30 to 45 minutes.
While being stirred in the floc forming pond 200, the micro flocs grow into flocs having a particle size of 100 to 500 μm. The grown floc is settled in the sedimentation basin 400, and the supernatant liquid is filtered by a filtration pond (not shown). The sedimentation basin 40
At 0, the water quality meter 410 is set.

An imaging means 300 such as an underwater camera is provided in the floc formation pond 200.
Is installed. The installation location may be the rapid mixing pond 100. The video signal of the gray scale image of the flock obtained from the imaging means 300 is input to the video signal controller 60. The video signal controller 60 distributes the flock grayscale image signal and transmits it to the display control device 20, the image processing device 40, and the image storage device 50.

The image processing device 40 converts an analog signal of a floc grayscale image into a digital signal and performs image processing. By the image processing, the floc image information such as the floc particle size distribution is calculated, and the floc image information is sent to the diagnostic device 30. The image processing device 40 stores the grayscale image of the video signal controller 60 in the image storage device 50 in accordance with one of an internal timer signal, an event signal on software, and a command from the diagnostic device.
It also has the function of sending to and storing it.

The image storage bond 50 stores a grayscale image,
It consists of known technologies such as a magnetic disk, an optical disk, and a VTR. The grayscale image from the image processing device 40 and the video controller 60 is
The data is stored separately according to the date and time.

The plant data storage device 70 has a data collection function and a data storage function, and stores process data (process values, control set values, state values, etc.) necessary for water purification plant operation and image information of the image processing device 40. Collect and store.

The diagnostic device 30 determines the aggregation state based on the process data and the image information from the plant data storage device 70, and when it is determined to be abnormal, based on the image information and the water quality data,
The plant data storage device 70 is searched to extract information on similar dates in the past, and transmits the information to the display control device 20 together with the current aggregation determination result.

The display control device 20 switches the state of the plant, the operation guidance, the grayscale image data, and the like, and displays them on the monitor 10. The switching of the image is performed according to a command from a pointing device such as the mouse 11 or an aggregation state determination value from the diagnostic device 30. On the monitor 10, a video controller 60
The current gray-scale image and image information sent from the server are always displayed. When the information on the coagulation abnormality and the information on the similar day are sent from the diagnostic device 30, the abnormality warning message, the gray image on the similar day, the gray image on the normal time, the plant data on the similar day,
The current plant data is searched and displayed in the plant data storage device 70.

The plant data includes image information such as floc particle size, water quality data such as concentration, and control set values such as a flocculant injection rate. Display data and items can be changed using the mouse 11 or the like.

FIG. 2 shows a configuration example of the image processing apparatus 40. In the figure, an A / D converter 41 converts grayscale image analog information into digital information and stores the digital information in a grayscale image memory 45. The grayscale image memory 45 has a capacity capable of storing a plurality of screens.

The flock grayscale image stored in the grayscale image memory 45 is
Either at regular intervals by a timer operated by the clock of the image processing apparatus 40 itself, when the aggregation state is determined to be abnormal based on the result of the image processing, or when an instruction for aggregation abnormality is sent from the diagnostic apparatus 30. At the timing, it is transmitted to the image recording device 50 and stored. Data such as a date and an aggregation state is added as an index of the gray image to be stored.

The grayscale calculation circuit 42 calculates the grayscale image memory 45
After extracting the maximum value, the minimum value, the average value, the distribution, and the like of the luminance into the image information memory 47, a luminance emphasizing process as a pre-binarization process is executed.

The binarization circuit 43 binarizes the grayscale image whose brightness has been emphasized by the grayscale arithmetic circuit 42 and stores the binary image in the binary memory 46.

The feature amount extracting circuit 44 extracts the logarithmic average value of the flocs, the total volume of the flocs, the number of flocs, the number of micro flocs, the luminance of the flocs, the luminance other than the flocs, etc., from the binary images and the grayscale images of the binary memory 46. And a plant data storage device for storing in the image information memory 47.
Also send to 70.

FIG. 3 shows an example of the configuration of the diagnostic device 30. In the figure,
The current plant data input from the plant data storage device 70 is sent to the learning recall circuit 32 via the data receiving circuit 31.
Sent to

The learning recall circuit 32 fetches past plant data (history data) from the plant data storage circuit 70 and executes learning using, for example, the coagulant injection rate as a teacher signal. As a learning method, there are a multiple regression method as a linear transformation, a neural network (back propagation) method as a non-linear transformation, and the like. The learning recall circuit 32 uses the learning result based on the learning result.
From the current plant data, for example, the coagulant injection rate is recalled. The recall target data includes other data such as a chlorine injection rate and an alkali injection rate.

The abnormality determination circuit 33 determines the aggregation state from the current plant data, the recall value from the learning recall circuit 32, and the determination condition 35. The conditions set as the determination condition 35 include a method of determining data values such as temporal fluctuation of data and upper and lower limits of data, a method based on a production rule, and the like. The judgment result is stored in the judgment result storage circuit 34, and the image processing device 40, the display control device 50, and the plant data storage device 70
Send to The conditions and data items of the abnormality determination can be changed by an operator using an input device such as a keyboard and a mouse while watching the display on the monitor.

The data items used for abnormality determination include the average particle size of floc, the number of flocs, the volume of flocs, the luminance of flocs, the number of micro flocs, etc. in the image measurement relation, and the raw water turbidity, raw water temperature, mixed water in the water quality relation. There are alkalinity, sedimentation tank turbidity, sedimentation tank pH, inflow rate, rainfall, etc. Recall data include coagulant injection rate, chlorine injection rate,
There is an alkali agent injection rate and the like.

 FIG. 4 is an example of the display screen of the monitor 10.

FIG. 4A shows a case where the current flock grayscale image is displayed. The monitor screen 900 is divided into four parts, and a moving image or a still image of the flock grayscale image from the imaging device 300 is displayed in the upper left current image display area 901. indicate. The normal image and the abnormal image stored in the past are displayed by picking the normal image request area 910 and the abnormal image request area 920 on the monitor screen 900 with the mouse 11, for example.

FIG. 4 (b) shows the monitor screen after picking the normal image request area 910 and the abnormal image request area 920. In the abnormal image display area 902 and the normal image display area 903, the abnormal and normal gray scale images stored in the past are displayed as moving images or still images, respectively. For moving images, the image storage device 50
It can be displayed if it has a VTR mechanism.

FIGS. 4C and 4D are examples of screens displayed when aggregation is abnormal.

In FIG. 4C, a current image display area 904 and a current plant data display area 906 display a grayscale image from the imaging device 300 and the current plant data, respectively. On the other hand, in the past image display area 905 and the past plant data display area 907, past grayscale images and plant data similar to the current state are displayed.
A normal image request area 910, an abnormal image request area 911, and a current image request area 912 on the monitor image 900 are
, The requested image and plant data are switched and displayed on the screen. The display in the default display (standard setting display) mode in this case is a combination of the current image and the past abnormal image.

FIG. 4 (d) has the same screen configuration as FIG. 4 (c), but the default display is a combination of the current screen and a past normal image.

The items of the plant data to be displayed are set using a mouse, a keyboard, or the like while viewing the screen of the monitor. In addition, on the grayscale image, the time at the time of imaging is synthesized and displayed, and in the case of a moving image, the plant data in the plant data display area 907 is also updated according to the time.

[Effects of the Invention] According to the present invention, at the time of coagulation abnormality, the current and past coagulation state screens and the plant operation data can be displayed while being compared, so that effective driving support can be obtained.

Further, the abnormal state and the plant operation data at that time can be arbitrarily displayed, which is useful for an inexperienced operator in how to identify the abnormal state and how to cope with the abnormal state.

[Brief description of the drawings]

FIG. 1 is a diagram showing the system configuration of an embodiment of the coagulation state monitoring apparatus according to the present invention, FIG. 2 is a block diagram showing the configuration of an embodiment of the image processing apparatus of FIG. 1, and FIG. FIG. 1 is a block diagram showing a configuration of an embodiment of the diagnostic apparatus of the embodiment, and FIG. 4 is a screen configuration diagram showing an example of a monitor screen. 10 monitor, 11 mouse, 20 display control device, 30
... diagnosis device, 31 ... data receiving circuit, 32 ... learning recall circuit, 33 ... abnormality determination circuit, 34 ... determination result storage circuit,
35 judgment conditions, 40 image processing apparatus, 41 A / D converter, 42 density calculation circuit, 43 binarization circuit, 44 feature value extraction circuit, 45 density image Memory 46, binary memory 47 image information memory 50 image storage device 60
… Video controller, 70 …… Plant data storage device, 100…
… Rapid mixing pond, 110… stirrer, 120… flocculant injection device, 200… floc forming pond, 210… stirring paddle, 220
…… Rectifier wall, 300 …… Imaging device, 400 …… Sedimentation basin, 410…
… Water quality meter, 500… water landing well, 510… water quality meter, 900… monitor screen, 901… current image display area, 902… abnormal image display area, 903… normal image display area, 904… current Image display area, 905 …… Past image display area, 906…
… Current plant data display area, 907… Past plant data display area, 910 …… Normal image request area, 911
…… Abnormal image request area, 912 …… Current image request area.

────────────────────────────────────────────────── ─── Continued on the front page (72) Inventor Kenji Baba 4026 Kuji-cho, Hitachi City, Ibaraki Prefecture Inside Hitachi Research Laboratory, Hitachi, Ltd. (56) References JP-A-62-250919 (JP, A) (58) Investigated Field (Int.Cl. ⁶ , DB name) B01D 21/30 G01N 15/00

Claims (5)

(57) [Claims] A means for imaging the state of aggregation in the agglutination reaction tank; a storage means for storing a video signal from the imaging means; a means for determining the state of aggregation based on the video signal; Means for searching and displaying at least a normal image stored in the past in parallel with a current image at least when it is determined that the aggregation is abnormal. Means for imaging the state of aggregation in the agglutination reaction tank; storage means for storing a video signal from the imaging means; means for determining the state of aggregation based on the video signal; A means for displaying, in parallel with the current image, a normal image stored in the past and an image showing a similar abnormality in the past in parallel with the current image at least when it is determined that the aggregation is abnormal. . 3. A coagulation state monitoring apparatus according to claim 1, wherein said means for storing the coagulation plant operation history and means for guiding the operation based on the plant operation history when a similar abnormality was shown in the past. And a coagulation state monitoring device. 4. The coagulation state monitoring apparatus according to claim 1, wherein said display means is means for displaying a current state and a past state in an array on the same screen. Characteristic aggregation state monitoring device. 5. The coagulation state monitoring apparatus according to claim 1, wherein said coagulation agent monitoring unit learns past history data and recalls a coagulant injection rate. A coagulation state monitoring device having means for displaying an injection operation abnormality guidance when the difference between the two exceeds a predetermined range.