JP4953462B2 - Water tank adjustment system - Google Patents

Description

  The present invention relates to a water quality adjustment system for an aquarium for breeding ornamental fish such as tropical fish.

  A conventional water temperature control device in a water tank includes a Peltier element in which fins of a Peltier element are immersed in water in the water tank, a water temperature sensor that detects the water temperature of the water tank, and a polarity switch that controls the Peltier element (for example, Patent Documents). 1). When the detected water temperature is equal to or lower than the low temperature set value, the Peltier element fins are heated, and when the detected water temperature is equal to or higher than the high temperature set value, the Peltier element fins are cooled to adjust the water temperature of the water tank.

  However, if the fins of the Peltier element are only heated at a constant temperature, it takes time for the water temperature to rise to the target temperature, which adversely affects the aquarium fish. Moreover, if it sets so that it may heat at high temperature in order to shorten time, when water temperature is close to target temperature, it may exceed target temperature (overheating). Ornamental fish and the like are sensitive to water temperature, so if they exceed the target temperature or are heated rapidly, they have a great adverse effect such as shortening the life.

Furthermore, ornamental fish are very sensitive to water quality, so it is necessary to adjust the water quality by changing the water in the tank every predetermined period. In the conventional technique, the water temperature is simply adjusted to the target temperature, and the improvement of the water quality is not considered, and there is no water tank that adjusts the water temperature and the water quality at the same time to improve.
JP-A-8-263148

  Therefore, the problem to be solved by the present invention is to provide a water tank water quality adjustment system that can smoothly heat the water in the water tank without exceeding the target temperature in a short time, and at the same time, can suitably adjust the water quality. is there.

A water quality adjustment system for an aquarium according to the present invention,
A water temperature sensor that detects the current water temperature of the tank,
Heating means for heating the water in the aquarium;
Control means for controlling the heating means,
The control means
A target water temperature setting unit for setting the target water temperature of the tank,
A deviation calculator for calculating a deviation between the current water temperature and the target water temperature;
A change amount calculation unit that calculates a change amount of the water temperature per unit time based on the current water temperature;
A fuzzy inference setting unit for setting a predetermined fuzzy inference;
A conclusion calculating unit that calculates the conclusion by applying the deviation and the change amount to the fuzzy inference,
The heating means
A water supply tank having water for supplying water at a temperature equal to or higher than a target water temperature;
Water supply means for supplying water to the water tank;
A drainage means for draining the same amount of water as the water used for water supply from the water tank,
Based on the conclusion, the control means fuzzy-controls the water supply means and the drainage means in the heating means so that the current water temperature becomes the target water temperature ,
The heating means includes a first heating means and a second heating means, the target water temperature has a first target water temperature and a second target water temperature higher than the first target water temperature, and the control means has a current water temperature of the first water temperature. Until the target water temperature is reached, the first heating means is heated with a constant amount of heat, and then the second heating means is fuzzy controlled until the second target water temperature is reached.

  Preferably, the control means drives the water supply means and the drainage means every predetermined period regardless of the current water temperature.

  As described above, the water quality adjustment system of the aquarium according to the present invention uses fuzzy reasoning to control the heating means so as to reach the target water temperature, so that the current water temperature is greatly heated while being away from the target water temperature. However, as the current water temperature approaches the target water temperature, it can be heated smaller.

  Thereby, it is possible to smoothly raise the temperature of the water in the water tank for a short time and without exceeding the target temperature (without overheating). Furthermore, the water temperature can be kept close to the target temperature, and the influence of the water temperature on the ornamental fish can be minimized.

  Furthermore, the heating means includes water supply means for supplying water to the water tank, and drainage means for discharging the same amount of water as the water to be supplied from the water tank. By making the water supply water suitable for the ornamental fish, the water can be heated to the target temperature, and suitable water can be supplied to the aquarium and dirty water can be drained, so that the water in the aquarium can be adjusted to a suitable water quality.

  Hereinafter, based on an accompanying drawing, the water quality adjustment system of the aquarium concerning the present invention is explained.

[Description of configuration]
Based on FIG.1 and FIG.2, the structure of the water quality adjustment system of an aquarium is demonstrated.
FIG. 1 is an overall configuration diagram showing a water quality adjustment system. The aquarium 1 has water 10 for raising tropical fish and the like. The water temperature sensor 3 is a thermistor or the like, and detects the current water temperature (t) of the water 10 in the water tank 1.

  The first heating means 4 includes a water supply pump 40, a water supply tank 41, and a water supply pipe 42. The water supply tank 41 has water supply water 43. The water supply pump 40 supplies the water supply water 43 in the water supply tank 41 to the water tank 1 through the water supply pipe 42. And the water 43 for water supply is beautiful water with water quality (pH value etc.) suitable for ornamental fish.

  The water supply heating means 8 comprises an electric heater or the like, and heats the water supply water 43 in the water supply tank. The water supply water temperature sensor 7 detects the temperature of the water supply water 43 in the water supply tank 41.

  Further, the first heating means 4 includes a drain pump 50, a drain tank 51, and a drain pipe 52. Then, the drain pump 50 discharges the water 10 in the water tank 1 to the drain tank 51 via the drain pipe 52.

The 2nd heating means 6 consists of an electrothermal heater, and heats the water 10 of the water tank 1.
The control unit 2 controls the first heating unit 4 (the water supply pump 40 and the drainage pump 50) and the second heating unit 6 based on the current water temperature (t) signal from the water temperature sensor 3.

  Further, the control means 2 controls the water supply heating means 8 based on a water temperature signal from the water supply water temperature sensor 7. Thereby, the water 43 for water supply is maintained at the water temperature (st) higher than the 2nd target water temperature (t2) mentioned later.

  FIG. 2 is a block diagram showing the control means. The control unit 2 includes a first target water temperature setting unit 21 and a second target water temperature setting unit 22. The first target water temperature setting unit 21 sets the first target water temperature (t1). The second target water temperature setting unit 22 sets a second target water temperature (t2) that is higher than the first target water temperature (t1 <t2). The first target water temperature (t1) and the second target water temperature (t2) can be set arbitrarily.

  The control unit 2 includes a deviation calculation unit 20. The deviation calculation unit 20 includes: [i] the current water temperature (t) from the water temperature detection unit 3, [ii] the first target water temperature (t1) from the first target water temperature setting unit 21, and [iii] the second target water temperature setting unit 22. The second target water temperature (t2) is input. The deviation calculating unit 20 calculates a deviation (δt1 = t1-t) between the first target water temperature and the current water temperature, and a deviation (δt2 = t2-t) between the second target water temperature and the current water temperature.

  The control unit 2 controls the first heating unit 4 based on the calculation result of the deviation calculating unit 20. The control means 2 performs the first heating means until the deviation between the first target water temperature and the current water temperature becomes zero (δt1 = 0) (that is, until the current water temperature (t) becomes the first target water temperature (t1)). 4 gives a certain amount of heat (q1).

  The control unit 2 includes a change amount calculation unit 23. The change amount calculation unit 23 calculates a change amount (δt) of the current water temperature per unit time based on the current water temperature (t) from the water temperature detection unit 3. The unit time can be arbitrarily set.

  The control unit 2 includes a fuzzy inference setting unit 24. The fuzzy inference setting unit 24 sets a predetermined fuzzy inference (f). Fuzzy reasoning (f) applies a predetermined membership function and fuzzy rules. The fuzzy inference (f) can be set arbitrarily.

  The control unit 2 includes a conclusion calculation unit 25. The conclusion calculating unit 25 receives [i] deviation (δt2) from the deviation calculating unit 20, [ii] variation (δt) from the variation calculating unit 23, and [iii] fuzzy inference (f) from the fuzzy inference setting unit 24. Each is entered. The conclusion calculation unit 25 calculates the conclusion (v) by applying the deviation (δt2) and the change amount (δt) to the fuzzy inference (f).

  The control unit 2 controls the second heating unit 6 based on the conclusion (v) from the conclusion calculation unit 25. The control means 2 performs the second heating means until the deviation between the second target water temperature and the current water temperature becomes zero (δt2 = 0) (that is, until the current water temperature (t) becomes the second target water temperature (t2)). 6 gives a predetermined amount of heat (q2). As will be described later, the predetermined amount of heat (q2) is fuzzy controlled based on the conclusion (v).

[Description of operation]
Next, based on FIGS. 3-5, operation | movement of the water quality adjustment system of an aquarium is demonstrated.
FIG. 3 is a flowchart showing an operation procedure of the water quality adjustment system.

  First, based on the water temperature sensor 3, the current water temperature (t) in the water 10 of the aquarium 1 is detected (step S1). Based on the deviation calculating unit 20, the deviation (δt1) between the current water temperature (t) and the first target water temperature (t1) and the deviation (δt2) between the current water temperature (t) and the second target water temperature (t2) are obtained. Calculate (step S2).

  As described above, the second target water temperature (t2) is set higher than the first target water temperature (t1) (t2> t1). That is, the second target water temperature (t2) is the final target water temperature and is the optimal water temperature for breeding ornamental fish. Since the first target water temperature (t1) is much lower than the optimum water temperature (second target water temperature t2), it is necessary to rapidly increase the temperature to this water temperature (t1).

  Based on the deviation (δt2), the deviation calculation unit 20 determines whether the current water temperature (t) is lower than the second target water temperature (t2) (t <t2) (step S3). When the current water temperature (t) is higher than the second target water temperature (t2) (t> t2), the process returns to step 1 above. When the current water temperature (t) is lower than the second target water temperature (t2) (t <t2), the next step S4 is performed.

  The deviation calculating unit 20 determines whether the current water temperature (t) is lower than the first target water temperature (t1) (t <t1) based on the deviation (δt1) (step S4). When the current water temperature (t) is higher than the first target water temperature (t1) (t> t1), Step S6 described later is performed. When the current water temperature (t) is lower than the first target water temperature (t1) (t <t1), the next step S5 is performed.

  The 1st heating means 4 heats the water 10 of the water tank 1 with fixed calorie | heat amount (q1) (step S5). And it returns to the said step 1, and it heats with the 1st heating means 4 until the present water temperature (t) becomes the 1st target water temperature (t1) ((delta) t1 = 0), detecting the present water temperature (t). The constant heat quantity (q1) is set relatively high so that the water 10 is quickly heated.

  As described above, the first heating unit 4 supplies the hot water supply water 43 to the water tank 1 using the water supply pump 40. Further, the first heating means 4 drains the water 10 in the water tank 1 in the same amount as the water supply water 43 supplied to the water tank 1 to the drain tank 51 using the drain pump 50. As a result, the temperature of the water 10 is quickly raised and the water 10 does not overflow from the water tank 1.

  When the current water temperature (t) is higher than the first target water temperature (t1) and lower than the second target water temperature (t2) (t1 <t <t2), the change amount calculation unit 23 changes the current water temperature (t) to the current water temperature (t). Based on this, a water temperature change amount (δt) per unit time (for example, 1 minute) is calculated (step S6).

  Then, the conclusion calculation unit 25 calculates the conclusion (v) by applying the deviation (δt2) and the change amount (δt) to the predetermined fuzzy inference (f) (step S7). Based on FIG.4 and FIG.5, the calculation method of conclusion (v) is demonstrated.

4A shows the membership function of the antecedent part (A), and FIG. 4B shows the membership function of the antecedent part (B).
As shown in FIG. 4A, the “degree” of the antecedent part (A) is quantified from the deviation (δt2). For example, when the deviation (δt2) = 4.5 ° C., the antecedent part (A) obtains “0.75 × L” and “0.25 × M”. Then, as shown in FIG. 4B, the “degree” of the antecedent part (B) is quantified from the change amount (δt). For example, when the change amount (δt) = 0.5 ° C., the antecedent part (B) obtains “0.75 × S” and “0.25 × M”.

  FIG. 5 is a diagram showing fuzzy rules. Based on the fuzzy rules shown in FIG. 5, the consequent part (C) is selected from the antecedent parts (A) and (B). For example, if the antecedent part (A) is “S” and the antecedent part (B) is “S”, the consequent part (C) is “0”, the antecedent part (A) is “M” and the antecedent part. If (B) is “S”, the consequent part (C) is “1.0”,... The antecedent part (A) is “L” and the antecedent part (B) is [L]. The part (C) is “2.0”.

Then, a conclusion (v) is calculated based on the antecedent part (A) / (B) and the consequent part (C). For example,
-Antecedent part (A) = "0.75L" and "0.25M"
-Antecedent part (B) = "0.75S" and "0.25M"
At the time, the conclusion (v) is calculated as follows.

All combinations are selected from the “degrees” of the antecedent part (A) and the antecedent part (B), and the “minimum coefficient” in each selection is multiplied by the consequent part (C). For example,
Antecedent part (A), antecedent part (B) → "Minimum coefficient" x consequent part (C)
・ "0.75L", "0.75S"-> 0.75 * 2.0 = 1.50
・ "0.75L", "0.25M" → 0.25 x 2.0 = 0.50
・ “0.25M”, “0.75S” → 0.25 × 1.0 = 0.25
・ “0.25M”, “0.25M” → 0.25 × 1.0 = 0.25
It becomes.

Then, the conclusion (v) is calculated by adding each. So in this case,
Conclusion (v) = 1.6 (= 1.5 + 0.5 + 0.25 + 0.25)
It becomes. Then, the conclusion (v) is applied to a predetermined function (for example, a proportional function), and the amount of heat (q2) by the second heating means 6 is determined.

[Other Embodiments]
In the above embodiment, the first target water temperature (t1) and the second target water temperature (t2) are set, but only the second target water temperature (t2) may be used. And it heats with a heating means using fuzzy reasoning. Moreover, the 1st heating means should just be a system which supplies high temperature, and it may supply water from an upper tank through an opening-and-closing gate etc., without using a pump etc., and may drain it to a lower tank. Further, the first heating means 4 may be a circulation type, and may heat the water drained from the water tank 1 by filtering it with a filter or the like and supply water to the water tank 1.

  Moreover, even if the current water temperature (t) of the water tank is higher than the target water temperature (t2), the first heating means 4 may be driven every predetermined period (for example, 2 to 3 days). The water 43 in the water supply tank 41 is made to have a water quality suitable for ornamental fish, the water 43 suitable for the aquarium 1 is supplied every predetermined period, and the dirty water 10 is drained. 10 can be adjusted to a suitable water quality. At that time, it is preferable that the water temperature of the water supply water 43 in the water supply tank 41 is set to the target water temperature (t2) by the water supply heating means 8.

  Thus, since the water quality adjustment system controls the amount of heat (q2) of the heating means using the fuzzy inference until the second target water temperature (t2) is reached, the current water temperature (t) is the second target water temperature (t2). It heats up greatly while being farther away, and heats up smaller as the current water temperature (t) approaches the second target water temperature (t2). Thereby, it is possible to smoothly raise the temperature of the water 10 in the water tank 1 for a short time and without exceeding the set temperature (without overheating). Therefore, adverse effects on the aquarium fish due to changes in the water temperature can be minimized.

  The heating means 4 includes water supply means for supplying the water supply water 43 to the water tank 1 and drainage means for draining the same amount of water as the water supply water 43 supplied from the water tank. By making the water supply water 43 suitable for the ornamental fish, the water can be heated to the target temperature, suitable water can be supplied to the aquarium, dirty water can be drained, and the water in the aquarium can be adjusted to a suitable quality. .

It is a whole lineblock diagram showing a water quality adjustment system. It is a block diagram which shows a control means. It is a flowchart which shows the operation | movement procedure of a water quality adjustment system. (A) shows the membership function of the antecedent part (A), and (b) shows the membership function of the antecedent part (B). It is a figure which shows a fuzzy rule.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Water tank 10 Water in water tank 3 Water temperature sensor 4 1st heating means 6 2nd heating means 2 Control means 20 Deviation calculation part 23 Change amount calculation part 24 Fuzzy inference setting part 25 Conclusion calculation part 40 Water supply pump 41 Water supply tank 42 Water supply pipe 50 Drain pump 51 Drain tank 52 Drain pipe t Current water temperature δt Change in water temperature t1 First target water temperature t2 Second target water temperature δt1 Deviation between current water temperature and first target water temperature δt2 Deviation between current water temperature and second target water temperature f Fuzzy reasoning v Conclusion

Claims (2)

A water temperature sensor that detects the current water temperature of the tank,
Heating means for heating the water in the water tank;
Control means for controlling the heating means,
The control means includes
A target water temperature setting unit for setting a target water temperature of the water tank;
A deviation calculating unit for calculating a deviation between the current water temperature and the target water temperature;
A change amount calculation unit for calculating a water temperature change amount per unit time based on the current water temperature;
A fuzzy inference setting unit for setting a predetermined fuzzy inference;
A conclusion calculating unit that calculates the conclusion by applying the deviation and the amount of change to the fuzzy inference;
The heating means includes
A water supply tank having water for supplying water at a temperature equal to or higher than the target water temperature;
Water supply means for supplying water to the water tank;
A drainage means for draining the same amount of water as the water for water supply from the water tank,
The control means, based on the conclusion, fuzzy-controls the water supply means and the drainage means in the heating means so that the current water temperature becomes the target water temperature ,
The heating means includes a first heating means and a second heating means,
The first heating means includes the water supply tank, the water supply means, and the drainage means,
The second heating means is an electric heater,
The target water temperature has a first target water temperature and a second target water temperature higher than the first target water temperature,
The control means heats the second heating means with the fuzzy control until the current water temperature reaches the first target water temperature with a constant amount of heat by the first heating means, and then until the second target water temperature is reached. A water quality adjustment system for an aquarium. The water quality adjustment system for an aquarium according to claim 1, wherein the control means drives the water supply means and the drainage means at predetermined intervals regardless of the current water temperature .

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