JPS6323562B2 - - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to an air conditioner control device for controlling the operating time of equipment such as an air conditioner.

An object of the present invention is to provide a device for predicting the operating time of equipment, that is, the start time or stop time of equipment, in order to appropriately control the target to be controlled.
This is to predict the stop time.

When controlling the temperature of a space with a predetermined volume in air conditioning, when the temperature of the space needs to match the target temperature at the target time, how long before the target time should the heating or cooling equipment be turned on? When predicting whether to start or stop at the time of
Since there are many factors such as humidity, the performance of the heating or cooling device, it is necessary to detect and calculate the state of all these factors one by one. however,
Since there are a large number of these factors and the occurrence of disturbances that are difficult to predict, it is necessary to calculate them accurately and
Moreover, controlling it requires expensive equipment and is often difficult.

The present invention has been made to solve the above-mentioned problems, and provides an air conditioner control device that can reduce the running cost of an air conditioner and can control room temperature with high precision.

The present invention will be explained below with reference to the drawings.

Figure 5 is a complaint correspondence diagram, and in the diagram,
101 is a room temperature detection means for detecting the indoor temperature to be controlled; 102 is an actual gain calculation means for calculating an actual gain from the output of the room temperature detection means 101;
Reference numeral 103 indicates a measured gain storage means for storing the measured gain obtained by the measured gain calculation means 102, 104 indicates a predicted gain storage means for storing the predicted indoor gain, and 105 indicates a measured gain calculation means for the current day; Prediction gain storage means 1
The current day's predicted gain is determined based on the current day's predicted gain calculation formula, which inputs the previous day's measured gain and the previous day's predicted gain stored in 04, and introduces a disturbance coefficient indicating the influence of indoor disturbance.

Reference numeral 106 indicates a target value setting means for setting a target indoor temperature value, and reference numeral 107 indicates a start/stop time calculation means, which calculates the output of the room temperature detection means 101, the previous measured gain of the day in the measured gain storage means 103, and the predicted gain for the current day. Output of means 105, target value setting means 1
The start and stop times are determined based on two start and stop time calculation formulas in which the output of 06 is input and a holiday compensation coefficient is introduced.

Reference numeral 108 indicates an air conditioner that starts or stops according to the output of the start/stop time calculation means 107, and 109 indicates a start/stop counting means that counts the start/stop of the air conditioner 108. The start/stop time is calculated based on the count value. It supplies the calculation means 107 with an output for selecting one of the two start/stop time calculation formulas.

For example, in heating or cooling buildings,
In order to predict the start or stop time of heating or cooling equipment, the present invention uses the following calculation formula.

K^ _(i+1)o = αK^ _(i+1)(o-1) + (1−α)K _(i+1)(o-1) ……(B) However, K^ _{(i+1 )o} : Predicted room temperature gain K^ _{(i+1)(o-1) at the (n-1)} th startup on day i+1, which is the next day on day i. Predicted room temperature gain K _(i+1)(o-1) : Actual room temperature gain α at the (n-1)th startup on day i+1: Correction coefficient in the range of 0 to 1 For example, n=3, i.e. 3rd If it is the fourth time, it is expressed as the following formula, and is used as the fourth prediction data.

K^ _(i+1) (4)=αK^ _(i+1) (3) +(1−α)K _(i+1) (3) ……(1) That is, at the fourth startup is calculated by adding the third measured room temperature gain K _(i+1) (3) and the predicted room temperature gain K^ _(i+1) (3) used at the third startup.
The predicted room temperature gain at the fourth startup is K^ _(i+1) (4). Using equation (B), the next predicted room temperature gain K^ _(i+1) n
Once obtained, apply this to the following equation and get n on day i+1.
Predict the startup time for the first startup.

However, T _D : Time required to reach the target temperature θ _S at the optimal startup time θ _S : Indoor target temperature θ _R : Actual indoor temperature K^ : Predicted room temperature gain obtained by equation (B) It is a value.

β: Long-term pause correction coefficient, which is a small value when the pause time is short.

Insert the predicted value obtained from equation (B) into equation (2),
The optimum startup time T _D is calculated from the relationship between the actually measured indoor temperature θ _R and the target temperature θ _S that should be reached when the preheating or precooling time ends.

For the second and subsequent (n+1)th and final activations on day i, which is an arbitrary day, the previous data is used as shown in FIG. This relationship is indicated by an arrow. From the second time on the (i+1) day, which is the day after the i day, to the (n+1)th time, which is the final activation, the previous data is used in the same way. The first activation uses the data from the previous day and is calculated using the following formula.

K^ _(i+1) 1 = αK^i・1+(1−α)Ki・1 ...(3) However, K^ _(i+1) 1: Predicted room temperature at the first startup on day (i+1) Gain K^i・1: Predicted room temperature gain at the first startup on the i day Ki・1: Actual measured room temperature gain at the first startup on the i day In other words, the first startup time on the (i+1) day is the same as the previous day. The first predicted room temperature gain on day i
It is calculated from K^i・1 and the actually measured room temperature gain Ki・1 on day i. Similarly, the predicted room temperature gain at the first activation on day (i+2) is calculated using the following equation.

K^ _(i+2) 1=αK^ _(i+1)・1 + (1−α)K _(i+1)・1 ...(4) That is, the predicted room temperature gain K^ _(i+
1)・1 is the value obtained by equation (3), and by adding this value and the actual room temperature gain K _{(i+1)・1 on day (i+1),} the first temperature gain on day (i+2) is calculated. This relationship, which predicts the start-up time of , is shown by the arrow in FIG.

Figure 3 is a block diagram showing the calculation method for predicting the start time for heating.
3 to 3 indicate input terminals, 4 to 7 indicate arithmetic units, and each symbol has the following meaning.

1: At the input end of the indoor target temperature θ _S , this is the temperature that should be reached by the time a person enters or leaves the room to be controlled.

This is a terminal for introducing a coefficient α in the range of 2:0α1, and α is determined based on the characteristics of the building, etc.

3: At the input end of the actually measured room temperature gain K, this is a value derived from the actually measured temperature or amount of heat of the room to be controlled.

4: Arithmetic unit that gives information to the discriminator 10 as to whether the start or stop is the first, last, or number of times 5: Arithmetic unit that calculates equation (A) 6: Arithmetic unit that calculates equation (3) 7: (i+1 ) When the discriminator 10 is YES, the calculation unit 6, that is, (B)
Introduce the calculated value of the formula, and if NO, the calculation unit 5, i.e.
Introducing the calculated value of equation (3), predict the startup time on day (i+1).

10: Determine YES or NO from the calculated value of the calculation unit 4 and output it to the calculation unit 5 or 6.

11: Part where long-time correction coefficient B is introduced.

12: Output the execution capacity value of the air conditioner, etc. indicating the air conditioner.

13: Output the actually measured gain of the room, such as room temperature or heat storage amount, indicating the room to be controlled.

As mentioned above, the predicted gain on day (i+1) is calculated using equation (3) at the first time, and from equation (B) from the second time onwards until the final time (n+1). The thus calculated result is introduced into equation (2) to predict the startup time.

FIG. 2 is a block diagram for predicting the stop time of heating equipment. The second predicted gain K^i・2 on day i, which is an arbitrary day, is the previous prediction gain,
That is, the data of the gains Ki・1 and K^i・1 at the time of the first stop are used. nth on day (i+1)
The th prediction gain K^ _(i+1) n uses the (n-1)th data on the (i+1) day. In the final stop, for example, (n+
1) For the first time, use the data from the last time of day i, which is the previous day. When using the previous day's data, the calculation formula is based on equation (3), and when using the previous day's data, the calculation formula based on equation (B) is used.

FIG. 4 is a block diagram of the apparatus used in the present invention. Each symbol indicates the following equipment.

20: Arithmetic processing unit 21: Clock drive part 22: Display the operating status of the device on the display section.

23: Timer setting value storage device 24: Clock 25: Output section, which outputs cooling and heating equipment output, ventilation control device output, etc.

26: The setting unit outputs the target temperature θ _S and the like to the processing unit 20.

In the present invention, as a result of actual measurements, the calculation elements are determined from the previous day's or previous data as described above. The start or stop times of cooling and heating equipment are controlled by the weather and many other factors, and a variety of detectors are required to calculate each of these factors one by one. Factors that are difficult to predict or control, such as deposits or malfunctions of air conditioning equipment, appear as disturbances, making it difficult to implement calculation results. There are many factors in the prediction time elements introduced in various documents, and it is difficult to calculate them one by one, and there are factors that are not predicted or difficult to control. Therefore, the present invention utilizes the previous day's or previous data without using these multiple factors.

In order to control the cooling or heating temperature in a space where the controlled object has a predetermined volume, such as a building, a refrigerator, boiler, heat exchanger, ventilation device, fan, or other temperature/humidity device may be used as a cooling or heating device. When regulating devices are used to start or stop these devices at appropriate times, or to stop and restart some devices, etc.
The invention is used. For example, operation may be temporarily stopped during downtime or when the auditorium is not in use.For example, if you want to bring the room temperature to the target temperature at 8:50 a.m., the heating device ( Determine the startup time using the predicted gain obtained from equation 3).
The previous day's data is used for the first activation, and the predicted gain for the first activation of the previous day is
It is obtained by adding K^i・1 and the previous day's actually measured gain Ki・1. Rewrite equation (3) as shown below.

K^ _(i+1) = αK^i + (1-α)Ki ...(A) In other words, the first activation is based on the predicted gain K^i on day i
is the addition of the measured gain Ki on day i. Similarly, the equation (A) is used to stop the equipment at the final (n+1)th time, and the data from the last time on the previous day i is used.

Either formula (A) or formula (B) is used depending on the following conditions.

When using formula (A), (a) Predicted gain at the first start (b) Predicted gain at the first stop (c) Predicted gain at the final stop (B) When using the formula, Predicted gain in cases other than (a), (b), and (c) above Calculate an appropriate predicted gain using formula (A), apply it to formula (2) to predict startup time, and calculate the required time to 1 hour 30 minute, the boiler will start up at 7:20 a.m. and the room will reach the target temperature θ _S at 8:50 a.m.
During light loads, such as rest periods, etc., 12
to 1:00 p.m., the room temperature must drop to the target temperature at 12:00, and reach the target temperature at 1:00 p.m. Using equation (B), the predicted gain at the previous stop on the day is calculated. For example, if it is 15 minutes, the temperature controller will stop supplying heat to the room at 11:45. Next, the restart time is similarly calculated using equation (B), and if it is 20, the temperature controller operates to supply heat into the room again at 12:40. The stoppage in the final round is calculated by formula (A), and the element introduced into formula (A) is the data from the previous day. The time required to drop to the target temperature θ _S at 17:00 is calculated by equation (A), and if it is 30 minutes, the heating device will stop at 16:30. In this way, the previous or previous day's data is used, and unnecessary data or data that is no longer needed is sequentially deleted. Therefore, the data on day i is as described in (a), (b), and (c) above. To get a prediction,
It is used on day i+1, and only the previous data is used on day i+1, and the rest are deleted. In FIG. 1 or 2, when using the previous day's or previous data, for example, the nth predicted value on day i+1 is calculated using equation B. K^ _(i+1)(o-1) in equation B is the n-1th prediction gain, and the n-1st prediction gain is obtained by the following equation.

K^ _(i+1)(o-1) =αK^ _(i+1)(o-2) +(1−α)K _(i+1)(o-2) ……(5) That is, (B By using the previous data in formula () and the previous day's data in formula (A) each time, the relationship between the amount of heat storage in the building and the execution capacity of the air conditioning equipment is utilized. The predicted time obtained by using the previous or previous day's data eliminates the need for conventional complex calculation factors and control requirements, and the actual measurement results are not affected by unpredictable factors such as disturbances. I was able to remove it almost completely.

The discriminator 10 selects either the A formula or the B formula in the diagram indicated by the YES or NO symbol in FIG. The calculated value is introduced into the calculation section 7 via the section 8 or 9. The discriminator 10 is as described above.
The answer is NO when conditions (a), (b), and (c) are present, and the answer is YES at other times. For determination, the calculation unit 4 can calculate whether the state is in (a), (b), or (c) or in any other state. When the unit time ΔT _D has passed from the start or stop time of the equipment,
When the ratio Δθ/ΔT _D to the amount of change Δθ of the controlled object is outside the predetermined range, the states of (a), (b), and (c) above exist, and the discriminator 10 selects formula A at this time. Operate.

As described above, the present invention predicts the start or stop time of equipment by using the previous day's or previous data, instead of calculations based on a large number of conventionally known predictive factors. can be controlled appropriately. Furthermore, the present invention is used not only to control preheating and precooling time, which has conventionally been known as wake-up control, but also to predict temporary stop, restart, and stop times of all equipment at intermediate stages.

As explained above, according to the present invention, there is an excellent effect that the running cost of an air conditioner can be reduced and the room temperature can be controlled with high precision.

[Brief explanation of the drawing]

The figures show an embodiment of the present invention. Figures 1 and 2 are block diagrams showing the order of prediction gains, Figure 3 is a block diagram showing the calculation method, Figure 4 is a block diagram showing the wiring of the device, and Figure 5 is a block diagram showing the calculation method. The figure is a complaint correspondence diagram. 1, 2, 3...Terminal, 4, 5, 6, 7...Calculation unit, 20...Calculation processing unit, 23...Timer setting value storage device.

Claims (1)

[Scope of Claims] 1. Room temperature detection means for detecting the temperature in a room to be controlled, actual measurement gain calculation means for calculating an actual gain from the output of this room temperature detection means, and the actual measurement gain calculated by this actual measurement gain calculation means. a measured gain storage means for storing a predicted gain in the room; a predicted gain storage means for storing a predicted gain in the room; and input of the previous day's measured gain and the previous day's predicted gain stored in the measured gain storage means and the predicted gain storage means. and a prediction gain calculation means for calculating a prediction gain for the day based on a prediction gain calculation formula for the day that introduces a disturbance coefficient indicating the influence of the indoor disturbance; and a target value setting means for setting the target indoor temperature value. , the output of the room temperature detection means, the output of the same-day predicted gain calculation means, and the output of the target value setting means are input, and start and stop times are determined based on a start and stop time calculation formula that introduces a holiday compensation coefficient. Start/stop time calculation means and start/stop time calculation means
An air conditioner control device comprising an air conditioner that starts and stops according to the output of a stop time calculation means, comprising a start/stop counting means for counting the start and stop of the air conditioner, and a start/stop time storage means. further inputs the previous measured gain of the day stored in the measured gain storage means and the output of the start/stop counting means, and also inputs the output of the start/stop counting means as the first start/stop and An air conditioner control device characterized in that the start and stop times of the air conditioner are determined based on the following equation A when the air conditioner is stopped for the final time, and based on the following equation B when the air conditioner is stopped for the last time. Note K^ _(i+1) = αK^ _i + (1-α)K _i ...(A) K^ _(i+1)o = αK^ _(i+1)(o-1) + (1- α) ×K _(i+1)(o-1) ……(B) However, K^ _(i+1) : Predicted gain K^ _i on day (i+1) : Predicted gain K i on day i : Predicted gain K _i on day i Actual gain K^ _(i+1)o : nth predicted gain K^ _{(i+1)(o-1) on (i+1} ) day: (n-1)th forecast on (i+1) day Gain K _(i+1)(o-1) : Actual measurement gain α of the (n-1)th time on the (i+1) day: Correction coefficient in the range of 0 to 1