JP3363018B2 - Raw water poison detection system - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a raw water poison automatic detection device for automatically determining that a raw water is mixed with a poison in a water purification plant and outputting an alarm when an abnormality occurs.

[0002]

2. Description of the Related Art Conventionally, for example, in water purification plants, aquatic organisms such as fish are bred in an aquarium into which raw water is injected, and their behavior is visually monitored by human observers.
Then, by knowing that the aquatic organism has died or caused an abnormal activity, it is possible to detect the contamination of the raw water with the poisonous substance.

On the other hand, in recent years, instead of being monitored by a human observer, an automatic monitoring device that monitors an aquatic organism in an aquarium with an imaging device to automatically determine whether the animal died or caused an abnormal activity. Has also been proposed.

However, the above-mentioned monitoring by the observer has various problems in continuous monitoring, particularly at night.

On the other hand, an automatic monitoring device using an image pickup device cannot detect movements such as rotation at the same place because it simply detects the amount of movement of aquatic organisms and makes a determination based on it. However, there is a problem in that active movements when feeding or feeding cannot be distinguished from abnormal activities due to poisonous substances, and dormancy cannot be distinguished from death.

[0006]

As described above, in the conventional automatic monitoring device, a vigorous action when feeding food that cannot detect movement such as rotation at the same place is regarded as abnormal activity due to poisonous substances. There was a problem that it was impossible to distinguish the dormant state from the dead state.

The object of the present invention is to easily and surely detect the rotational movement and the like at the same place as the amount of activity.
Another object of the present invention is to provide a raw water poison automatic detection device capable of distinguishing an activity caused by other than raw water from an activity caused by raw water itself and further distinguishing a dormant state from a dead state.

[0008]

In order to achieve the above object, in a raw water poison automatic detection device for automatically detecting that a raw water contains a poison, in the invention corresponding to claim 1, water is taken. A first image pickup device installed so as to pick up an image of a first aquarium that is infused with raw water and breeds aquatic organisms such as fish, and an image output signal from the first image pickup device is captured and stored, The total of the number of corresponding pixels with a high degree of disagreement in at least a part where the positions of the two image data having different imaging times correspond to each other is calculated as the activity amount, and the first water tank is in the abnormal activity state based on the activity amount. A first signal processing device that outputs an alarm, and a second imaging device that is installed so as to capture an image of a second aquarium that is infused with wastewater from the first aquarium and breeds aquatic organisms such as fish And the second The image output signal from the image device is captured and stored, and the total number of corresponding pixels with a high degree of disagreement in at least a part where the positions of two image data having different imaging times correspond is calculated as an activity amount, and based on the activity amount. Then, the time difference between the second signal processing device that outputs an alarm indicating that the second water tank is in an abnormal activity state and the alarm output from each of the first and second signal processing devices is measured, and based on the time difference. And an alarm device for outputting a final alarm.

Therefore, in the raw water poison automatic detection device of the invention according to claim 1, a plurality of water tanks arranged in series with respect to the flow from the raw water are provided, and the abnormal phenomenon is related to the inflow amount of the raw water from the upstream side. By detecting the abnormalities caused by the raw water by detecting the propagation in time series, the abnormal operation due to the feeding of one aquarium or other accidental causes, Since there is generally no time-sequential transmission from the river, it can be distinguished from anomalous activity caused by raw water.

Further, in the invention according to claim 2, in the automatic raw water poison detection apparatus of the invention according to claim 1, when the activity amount of the first and second aquariums becomes smaller than a certain value, , A stimulus applying device for applying a stimulus to the aquatic organisms in the corresponding aquarium.

Therefore, in the apparatus for automatically detecting raw water poison according to the second aspect of the invention, when the activity amount of aquatic organisms in the water tank becomes smaller than a certain value, some kind of stimulus is externally applied to the water tank. By detecting the death by confirming the reaction by the reaction, the aquatic organisms in the aquarium will be stimulated from the outside when the activity of the aquatic organisms in the aquarium becomes smaller than a certain value. By giving and confirming the reaction to detect whether or not death, at the time of dormancy,
When an aquatic organism is externally stimulated, for example, with an electric shock, some kind of reaction action is performed, so that it can be completely distinguished from death.

[0012]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below in detail with reference to the drawings.

(First Embodiment) FIG. 1 is a schematic diagram showing a configuration example of an automatic raw water poison detection apparatus according to this embodiment.

In FIG. 1, raw water 2 taken from a water purification plant or the like is injected into a water tank 1, and freshwater fish 3 which are aquatic organisms are bred.

On the other hand, a video camera 4 as an image pickup device is installed at a position where the whole water tank 1 is picked up as an object from one direction, and an image output signal from the video camera 4 is input to the signal processing device 5. I am trying to do it.

The signal processing device 5 captures and stores the image output signal from the video camera 4, and two or more image data having different image pickup times (separated by minute time intervals) do not match each other in part or in whole. The sum of the number of corresponding pixels with high frequency is calculated as the activity amount, and an alarm indicating that the water tank 1 is in the abnormal activity state is output based on the activity amount.

Next, the operation of the raw water poison automatic detection device of the present embodiment having the above-described configuration will be described with reference to the conceptual diagram shown in FIG.

In FIG. 1, the video camera 4 captures an image of 30 frames per second, and the image output signal is input to the signal processing device 5.

On the other hand, the signal processing device 5 carries out the following processing every time the image data of each frame is fetched.

First, binarization processing is performed so that the image of the freshwater fish 3 is "1" and the background and others are "0".

Next, as shown in FIG. 2, the difference between the image A _n captured this time and the reference image A _s (generally A _n-1 ) is calculated.

That is, the pixel (P _{n (x, y)} corresponding to the position is
And P _{s (x, y)} ), the following exclusive OR operation is performed to obtain the sum D _{(n, s)} for all pixels.

[0023]

[Equation 1]

Next, compare the D _{(n, s)} with the reference value D _TH with a, D _{(n, s)} if the Ikere to such greater than D _TH, the time interval of which the A _s and A _s in at the same time as the amount of activity a value obtained by dividing, the a _n as a new reference image a _s.

If D _{(n, s)} is smaller than D _TH ,
This time (n) activity amount calculation is not performed, and the process waits until the next (n + 1) activity amount calculation.

Next, the activity amount calculated above is a certain value B
Greater state than is when continued over T _B hours alarm to that effect as an abnormal active is output.

The activity amount calculated above is a certain value C
When the smaller state continues for T _C time or more, it is determined that the state is an abnormal activity state, and an alarm to that effect is output.

As described above, the apparatus for automatically detecting raw water toxins according to the present embodiment captures the whole aquarium 1 in which raw water 2 taken in a water purification plant or the like is injected and breeds freshwater fish 3 as a subject from one direction. The installed video camera 4 and the image output signal from the video camera 4 are fetched and stored, and there is a high degree of disagreement in at least a part where the positions of two image data with different imaging times (separated by a minute time interval) correspond to each other. The signal processing device 5 calculates the total number of corresponding pixels as an activity amount and outputs an alarm indicating that the water tank 1 is in an abnormal activity state based on the activity amount.

Therefore, the amount of activity of the freshwater fish 3 is detected by calculating and summing the exclusive ORs of the respective pixels of the two images having different imaging times (separated by a minute time interval). Not only does the complexity for detecting the movement of the freshwater fish 3 not necessary, but if there is a change in the image, whether it is a rotational movement or a twisting movement at a certain position, even if the position of the center of gravity of the image does not change, it is regarded as the amount of activity. Since it can be detected, the activity state of the freshwater fish 3 can be easily and surely grasped.

(Second Embodiment) FIG. 3 is a schematic diagram showing a structural example of the raw water poison automatic detection device according to the present embodiment, and the same elements as those in FIG. 1 are designated by the same reference numerals.

In FIG. 3, three water tanks 1a, 1b, 1
c is sequentially arranged in series from the upstream side with respect to the flow of the raw water 2 taken in at the water purification plant or the like. In each aquarium 1a, 1b, 1c, the same species and the same number of freshwater fish 3 which are aquatic organisms are bred.

On the other hand, from one direction, each water tank 1a, 1b,
Video cameras 4a, 4b, 4c, which are image pickup devices, are installed at positions where the entire image 1c is picked up as an object, and image output signals from the video cameras 4a, 4b, 4c are input to the signal processing device 5, respectively. I am trying to do it.

The signal processing device 5 takes in the image output signals from the respective video cameras 4a, 4b, 4c and stores them respectively, and the positions of two image data having different image pickup times (separated by minute time intervals) are determined. The total number of corresponding pixels with a high degree of disagreement in the corresponding part or the whole is calculated for each video camera 4a, 4b, 4c as the activity amount, and the aquariums 1a, 1b, 1c are in the abnormal activity state based on this activity amount. Signal processing function that outputs an alarm indicating that
Also, it has an alarm function of measuring the time difference of the alarm output for each of the video cameras 4a, 4b, 4c and outputting a final alarm based on this time difference.

Next, the operation of the raw water poison automatic detection apparatus of the present embodiment configured as described above will be described with reference to the conceptual diagram shown in FIG.

In FIG. 3, each video camera 4a,
In 4b and 4c, images of 30 frames per second are captured, and the image output signals are input to the signal processing device 5, respectively.

On the other hand, in the signal processing device 5, the following processing is performed for each video camera 4a, 4b, 4c each time the image data of each frame is captured.

First, binarization processing is performed so that the image of the freshwater fish 3 is "1" and the background and others are "0".

Next, as shown in FIG. 2, the difference between the image A _n captured this time and the reference image A _s (generally A _n-1 ) is calculated.

That is, the pixel (P _{n (x, y)} corresponding to the position
And P _{s (x, y)} ), the exclusive OR operation as in the above equation (1) is performed, and D _{(n, s)} summed up over all pixels
Are required respectively.

Next, the D _{(n, s)} respectively compared with the reference value D _TH with a, D _{(n, s)} is if Ikere to such greater than D _TH, which time A _s and A _s at the same time the amount of activity a divided by intervals, new and a _n, respectively reference image a _s
And

If D _{(n, s)} is smaller than D _TH ,
This time (n) activity amount calculation is not performed, and the process waits until the next (n + 1) activity amount calculation.

Next, the activity amount calculated above is a certain value B
When greater state than was continued over T _B h, that effect alert as an abnormal activity state is virtually (internal signal processing on) the respective outputs.

The activity amount calculated above is a certain value C
When the smaller state continues for T _C time or more, it is determined that the state is an abnormal activity state, and an alarm to that effect is virtually output (in internal signal processing).

Next, each video camera 4a, 4b, 4
The time difference of the virtual alarm output for each c is measured, and the final alarm is actually output according to this time difference.

That is, for example, when an abnormality is detected in the water tank 1a, it is confirmed by the following method whether or not the abnormality is caused by the raw water 2.

[0046] The time at which abnormal time an abnormality time an abnormality in the water tank 1a occurs in T ₁ water tank 1b occurs in T ₂ water tank 1c occurs as a T _3, the lower limit value T _L, the upper limit as T _U , T _L <(T ₂ −T ₁ ) <T _U T _L <(T ₃ −T ₂ ) <T _U , the alarm is actually output as if the cause of the abnormality is in the raw water 2 itself. To be done.

As described above, the apparatus for automatically detecting raw water toxins according to the present embodiment captures the entire aquarium 1a in which the raw water 2 taken at a water purification plant or the like is injected to breed freshwater fish 3 as a subject from one direction. Installed video camera 4a,
A video camera 4b installed so as to image the whole aquarium 1b for injecting the freshwater fish 3 from the aquarium 1a to raise the freshwater fish 3, and an aquarium for raising the freshwater fish 3 by injecting the drainage from the aquarium 1b. Video camera 4 installed so that the entire 1c is imaged as a subject from one direction
c and the image output signals from the respective video cameras 4a, 4b, 4c are fetched and stored respectively, and the positions of two image data having different image pickup times (separated by a minute time interval) do not coincide in a part or the whole. Each video camera 4a, with the total number of highly compatible pixels as the amount of activity,
A signal processing function for calculating each of 4b and 4c and outputting an alarm indicating that the water tanks 1a, 1b and 1c are in an abnormal activity state based on the activity amount, and each video camera 4
The signal processing device 5 has an alarm function of measuring a time difference of alarm outputs for each of a, 4b and 4c and outputting a final alarm based on the time difference.

Therefore, the activity amount of the freshwater fish 3 is detected by calculating and summing the exclusive ORs of the respective pixels of the two images having different image pickup times (separated by a minute time interval). Not only does the complexity for detecting the movement of the freshwater fish 3 not necessary, but if there is a change in the image, whether it is a rotational movement or a twisting movement at a certain position, even if the position of the center of gravity of the image does not change, the amount of activity is calculated. Since it can be detected, the activity state of the freshwater fish 3 can be easily and surely grasped.

Further, three water tanks 1a, 1b, 1c arranged in series with respect to the flow from the raw water 2 are provided so that an abnormal phenomenon propagates in time series from the upstream side in relation to the inflow amount of the raw water 2. Since the abnormality caused by the raw water 2 is detected by detecting the movement, the three water tanks 1a, 1b, 1 are operated in the abnormal operation due to the feeding of one water tank or other accidental causes.
Since it does not generally propagate in time series from the upstream side of c, it is possible to distinguish it from the abnormal activity caused by the raw water 2.

In other words, when a poisonous substance is mixed in the raw water 2, the raw water 2 is naturally affected by the flow from the upstream water tank. And for other causes, such as feeding,
It can be excluded by setting the order of the target water tanks in the order of flow. Moreover, in the case of an accidental cause, the probability that an event will occur under the above conditions is extremely low. Therefore, by the above method, it becomes possible to detect the abnormal activity phenomenon caused by the raw water 2 itself.

(Third Embodiment) FIG. 4 is a schematic diagram showing a structural example of an automatic raw water poison detection apparatus according to the present embodiment, and the same elements as those in FIG. 1 are designated by the same reference numerals.

In FIG. 4, raw water 2 taken in a water purification plant or the like is injected into a water tank 1, and freshwater fish 3 which are aquatic organisms are bred.

On the other hand, a video camera 4 as an image pickup device is installed at a position where the entire water tank 1 is picked up as an object from one direction, and an image output signal from the video camera 4 is input to the signal processing device 5. I am trying to do it.

The signal processing device 5 captures and stores the image output signal from the video camera 4, and the inconsistency in a part or the whole in which the positions of two image data having different imaging times (separated by a minute time interval) correspond to each other. The sum of the number of corresponding pixels with high frequency is calculated as the activity amount, and an alarm indicating that the water tank 1 is in the abnormal activity state is output based on the activity amount.

Further, an electric stimulus applying device 6 is connected to the signal processing device 5.

This electric stimulus applying device 6 applies an electric stimulus to the freshwater fish 3 in the aquarium 1 when the activity amount of the aquarium 1 calculated by the signal processing device 5 becomes smaller than a certain value C. I have to.

Next, the operation of the apparatus for automatically detecting raw water poison according to the present embodiment configured as described above will be described with reference to the conceptual diagram shown in FIG.

In FIG. 1, the video camera 4 captures an image of 30 frames per second, and the image output signal is input to the signal processing device 5.

On the other hand, the signal processing device 5 performs the following processing every time the image data of each frame is fetched.

First, binarization processing is performed so that the image of the freshwater fish 3 is "1" and the background and others are "0".

Next, as shown in FIG. 2, the difference between the image A _n captured this time and the reference image A _s (generally A _n-1 ) is calculated.

That is, the pixel (P _{n (x, y)} corresponding to the position
And P _{s (x, y)} ), the exclusive OR operation as in the above equation (1) is performed, and D _{(n, s)} summed up over all pixels
Is required.

Next, compare the D _{(n, s)} with the reference value D _TH with a, D _{(n, s)} if the Ikere to such greater than D _TH, the time interval of which the A _s and A _s in at the same time as the amount of activity a value obtained by dividing, the a _n as a new reference image a _s.

If D _{(n, s)} is smaller than D _TH ,
This time (n) activity amount calculation is not performed, and the process waits until the next (n + 1) activity amount calculation.

Next, the activity amount calculated above is a certain value B
Greater state than is when continued over T _B hours alarm to that effect as an abnormal active is output.

Further, the activity amount calculated above is a certain value C
When the smaller state continues for T _C time or more, it is determined that the state is an abnormal activity state, and an alarm to that effect is virtually output.

Next, as the above-mentioned abnormal activity state, when the state in which the activity amount is smaller than a certain value C continues for T _C time or more, the signal processing device 5 issues a command to the electrical stimulation applying device 6 to perform electrical stimulation. The water tank 1 is driven by driving the application device 6.
Electrical stimulation is applied to the freshwater fish 3 inside.

As a result, if the activity amount thereafter becomes larger than a certain value C, the output of the virtual alarm is stopped.
Further, if the amount of activity remains smaller than the certain value C, the alarm is actually output.

As described above, the apparatus for automatically detecting raw water and poisons according to the present embodiment captures the entire aquarium 1 in which the raw water 2 taken in at a water purification plant or the like is injected and breeds freshwater fish 3 as a subject from one direction. The installed video camera 4 and the image output signal from the video camera 4 are fetched and stored, and there is a high degree of disagreement in at least a part where the positions of two image data with different imaging times (separated by a minute time interval) correspond to each other. A signal processor 5 that calculates the total number of corresponding pixels as an activity amount and outputs an alarm indicating that the water tank 1 is in an abnormal activity state based on this activity amount, and the activity of the water tank 1 calculated by the signal processing device 5. When the amount becomes smaller than a certain value C, it is composed of an electric stimulation applying device 6 for applying an electric stimulation to the freshwater fish 3 in the aquarium 1.

Therefore, the amount of activity of the freshwater fish 3 is detected by calculating the exclusive OR of each pixel of two images having different imaging times (separated by a minute time interval) and summing them. Not only does the complexity for detecting the movement of the freshwater fish 3 not necessary, but if there is a change in the image, whether it is a rotational movement or a twisting movement at a certain position, even if the position of the center of gravity of the image does not change, it is regarded as the amount of activity. Since it can be detected, the activity state of the freshwater fish 3 can be easily and surely grasped.

Furthermore, when the amount of activity of the freshwater fish 3 in the aquarium 1 becomes smaller than a certain value C, the freshwater fish 3 in the aquarium 1 is electrically stimulated from the outside to confirm its reaction. Since it detects whether or not it is in the dormant state (freshwater fish 3
Freshwater fish 3), and freshwater fish 3
When a stimulus such as an electric shock is applied to the outside, some kind of reaction action is performed, so that it is possible to completely distinguish it from death.

The present invention is not limited to the above-mentioned embodiments, but can be implemented in the same manner as described below.

(A) In the third embodiment, when the activity amount of the aquarium 1 calculated by the signal processing device 5 becomes smaller than a certain value C, the freshwater fish 3 in the aquarium 1 is electrically supplied from the outside. The case where the electrical stimulus applying device 6 for applying a stimulus is provided has been described, but the present invention is not limited to this, and the signal processing device 5
If the activity amount of the aquarium 1 calculated by the above becomes smaller than a certain value C, a stimulus applying device may be provided to externally apply a stimulus to the freshwater fish 3 in the aquarium 1 in another form.

(B) In the third embodiment, when the activity amount of the aquarium 1 calculated by the signal processing device 5 becomes smaller than a certain value C, the freshwater fish 3 in the aquarium 1 is transferred to the outside from the outside. The case where the stimulus applying device for applying the stimulus in the form of 1 is applied to the first embodiment has been described. If it gets too small, its aquarium 1
A stimulus applying device that applies a stimulus to the freshwater fish 3 inside from the outside in another form can be similarly applied to the second embodiment.

(C) In the second embodiment, the case where three water tanks 1a, 1b, 1c are provided in series for the flow from the raw water 2 has been described, but the present invention is not limited to this.
The present invention can be similarly applied to the case where a plurality of water tanks of two or four or more are provided in series with respect to the flow from.

[0076]

As described above, according to the invention according to claim 1, the rotational movement at the same place can be easily and surely detected as the amount of activity, and is caused by something other than raw water. It is possible to provide a raw water poison automatic detection device capable of distinguishing an activity from an activity caused by the raw water itself.

According to the invention corresponding to claim 2,
Rotational movements at the same place can be easily and reliably detected as activity amounts, and activities other than raw water can be distinguished from activities due to the raw water itself. It is possible to provide a raw water poison automatic detection device that can identify

[Brief description of drawings]

FIG. 1 is a schematic diagram showing a first embodiment of a raw water poison automatic detection device according to the present invention.

FIG. 2 is a conceptual diagram for explaining the operation of the raw water poison automatic detection device according to the first embodiment.

FIG. 3 is a schematic diagram showing a second embodiment of the raw water poison automatic detection device according to the present invention.

FIG. 4 is a schematic diagram showing a third embodiment of the raw water poison automatic detection device according to the present invention.

[Explanation of symbols]

1 ... aquarium, 1a, 1b, 1c ... water tank, 2 ... Raw water, 3 ... Freshwater fish, 4 ... Video camera, 4a, 4b, 4c ... video cameras, 5 ... Signal processing device, 6 ... Electrical stimulation application device.

Front page continued (58) Fields surveyed (Int.Cl. ⁷ , DB name) G08B 21/00 G01N 33/18 G06T 1/00 G06T 7/20

Claims (2)

(57) [Claims] 1. An apparatus for automatically detecting a poisonous substance in a raw water, which automatically detects that a poisonous substance is mixed in the raw water, and images the first aquarium, in which the taken raw water is injected and breeds aquatic organisms such as fish, as an object. And a first image pickup device installed in such a manner that the image output signal from the first image pickup device is captured and stored, and at least a part where two image data with different image pickup times correspond to each other has a high degree of mismatch. A first signal processing device that calculates the total number of pixels as an activity amount, and outputs an alarm indicating that the first water tank is in an abnormal activity state based on the activity amount; and drainage from the first water tank And a second image pickup device installed so as to pick up an image of a second aquarium for injecting aquatic organisms such as fish, and capturing and storing an image output signal from the second image pickup device, During imaging Of the number of corresponding pixels having a high degree of disagreement in at least a part where two different image data positions correspond to each other are calculated as an activity amount, and an alarm indicating that the second water tank is in an abnormal activity state is calculated based on the activity amount. A second signal processing device for outputting the alarm, and an alarm device for measuring a time difference between the alarm outputs from the first and second signal processing devices and outputting a final alarm based on the time difference. An automatic detection system for raw water poisons. 2. The raw water toxins automatic detection device according to claim 1, wherein when the activity amount of the first and second aquariums becomes smaller than a certain value, the aquatic organisms in the corresponding aquariums become An apparatus for automatically detecting a raw water poison, which is characterized by adding a stimulus applying device for applying a stimulus.