JP2948961B2 - Air conditioner - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air conditioner such as a cooling and heating device.

[0002]

2. Description of the Related Art In recent years, an air conditioner (hereinafter simply referred to as an air conditioner) not only sets a temperature, a humidity and the like in advance and controls the air conditioner in accordance with the temperature and humidity, but also performs more comfortable air control. , That you can learn.

For example, to determine comfortable temperature, humidity, and wind direction, a suction temperature, a suction temperature change, an outside air temperature, an air volume, a set temperature, a wind direction, and a comfort level (Predicted Me
There is a method in which a neural network learns the relationship of “an vote” and uses it for predicting and controlling the degree of comfort. By performing such learning, comfort can be maintained even when the heating is started, when the outside air temperature rises, and when the outside air temperature falls (Sakai, Akamine, "Comfort in Air Conditioning", Sensor Technology, August 1991,
Vol.11, No.8, p33-p38).

[0004]

However, when the air conditioner is actually used, the comfortable temperature varies depending on personal preference, and even the same individual may return home at night, for example immediately after getting up in the morning, depending on the activity. It differs depending on immediately after.

There is a demand for the development of an air conditioner that can appropriately cope with such actual situations.

An object of the present invention is to provide an air conditioner capable of appropriately adjusting the air in accordance with personal preferences and activity conditions in consideration of such problems of the conventional air conditioners.

[0007]

SUMMARY OF THE INVENTION The present invention provides a temperature pattern storage means comprising a neural network for storing a temperature pattern corresponding to a time zone, and a temperature adjustment means for adjusting a temperature read from the temperature pattern storage means. Means for correcting by an instruction from the means, controlling the drive main body based on the correction, judging the degree of the instruction from the temperature adjusting means, and, based on the result, the temperature pattern stored in the temperature pattern storage means. Is an air conditioner with a learning function provided with temperature pattern changing means for correcting the temperature according to the content of the temperature correction by the control means.

Further, according to the present invention, a temperature pattern storage means for storing a temperature pattern corresponding to a time zone, which is determined in advance in consideration of a person and the state of the person, is read from the temperature pattern storage means. Control means for correcting the temperature in accordance with an instruction from the temperature adjusting means and controlling the drive main body based on the corrected temperature.

[0009]

According to the present invention, a standard temperature pattern corresponding to a time zone of the day is stored in advance in a temperature pattern storage means constituted by a neural network, and the control means reads out the temperature pattern from the temperature pattern storage means. The corrected temperature is corrected by an instruction from the temperature adjusting means, and the drive main body is controlled based on the corrected temperature. On the other hand, the temperature pattern changing means determines the degree of the instruction from the temperature adjusting means, and corrects the temperature pattern stored in the temperature pattern storage means according to the temperature correction content by the control means based on the result. I do.

Further, in the present invention, the temperature pattern according to the time zone, which is determined in advance in consideration of the person and the state of the person, is stored in the temperature pattern storage means, and the drive main body is controlled based on the stored temperature pattern. Air conditioning can be adjusted according to the taste and activity of the person.

[0011]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing the configuration of an air conditioner with a learning function according to the present invention.

The drive main unit 1 includes a fan, a compressor, and the like.
It is a drive unit for cooling and heating air. Temperature adjusting means 2
Is a means provided on the operation panel and including keys for instructing adjustment of cooling and heating, such as "slightly warm", "slightly warm", "slightly cold", and "slightly cold".

The temperature pattern storage means 3 is a means for storing a temperature pattern corresponding to a time zone determined in consideration of a person and the state of the person. This temperature pattern is derived from the following idea. That is, for example, considering the case where a living room is heated with a gas fan heater in the first place, for example, the taste of the person who is there for cooling and heating, and the same person's living state, for example, the state of relaxing and cleaning The appropriate cooling and heating conditions should be different. However, it is difficult to distinguish such a person and directly detect an accurate state. Therefore, it is considered that their preferences and living conditions can be roughly grasped in the time zone of the day. FIG. 2 shows an example on a weekday when the living room is cooled and heated by the gas fan heater.
In the first half of the morning, it is normal for the father and son to prepare for work. In the latter half of the morning and at lunch, the mother usually does housework. In the first half of the afternoon the mother may be relaxing, and in the second half she may be preparing for dinner. At dinner, it is considered that everyone is eating, and at night, parents are considered to be relaxing. Therefore, appropriate air-conditioning control according to the preferences and living conditions of those persons may be performed based on these time zones. FIG. 3 shows an example of the relationship between the time zone and the optimum temperature. Initially, such a most standard temperature pattern is stored in a neural network as shown in FIG.

The control means 4 is a means for correcting the temperature read from the temperature pattern storage means 3 according to an instruction from the temperature adjustment means 2 and controlling the drive main unit 1 based on the correction. At the beginning of operation, the drive main unit 1 is controlled according to the standard temperature pattern. However, as a result, when the person in the living room desires to cool down a little more and gives an instruction to that effect by the temperature adjusting means 2, the control means 4 does not follow the temperature pattern but controls the drive main body 1 by adjusting the temperature pattern. I do. In that case, as shown in FIG. 4, control is performed using a fuzzy rule.

The timer 6 is a clock for notifying the control means 4 of the actual time, and has a built-in battery which can be driven even when the power of the air conditioner is turned off.

The temperature pattern changing means 5 determines the degree of the instruction from the temperature adjusting means 2 and corrects the temperature pattern stored in the temperature pattern storing means 3 by the control means 4 based on the result. It is a means to correct according to the contents. For example, if there is an instruction to correct the temperature by the daily temperature adjustment means 2, it can be determined that the current temperature pattern is unsatisfactory for the consumer. The temperature pattern is corrected according to the content of the correction. The correction can be realized by changing the weight of the intermediate unit of the neural network. If there is some dissatisfaction, the temperature pattern is not particularly corrected.

Next, the operation of the above embodiment of the present invention will be described.

First, a standard temperature pattern as shown in FIG. 3 is stored in advance in a neural network temperature pattern storage means 3 as shown in FIG. That is, each time zone is input to the input unit, and the weight of the intermediate unit is adjusted so that the optimum temperature is output to the output unit in that case.

The control means 3 controls the drive main unit 1 in accordance with the temperature pattern of the optimum temperature and time zone read from the temperature pattern storage means 3. The drive main unit 1 cools and heats the air in the living room according to the control. By the way, if the person in the living room feels a little hot in the air conditioning, the key of the temperature adjusting means 2 is adjusted to a scale of "slightly cold".

The control means 4 receives the adjustment instruction from the temperature adjustment means 2 and corrects the temperature according to the temperature pattern read from the temperature pattern storage means 3 in accordance with the fuzzy rule shown in FIG. Control 1
The result of the correction is as shown in FIG. 7, for example. In the case of the example of FIG. 7, 7:00, 12:00, 18:00, and 20:00 are corrected respectively. The number of corrections is four.

The temperature pattern changing means 5 always counts the number of the correction requests, and compares it with a predetermined threshold number of times, for example, four times or more. In the case of four times, since the number of times is equal to or more than the threshold number, it is presumed that the temperature pattern has a large dissatisfaction. If less than four times, there is little dissatisfaction, so on the next day, cooling and heating will be performed again according to the temperature pattern up to that time.

When it is determined that there is much dissatisfaction, the temperature pattern changing means 5 corrects the temperature pattern according to the contents of the temperature correction by the control means 4. That is, the weight of the intermediate unit of the neural network of FIG. 5 is changed so as to realize the temperature pattern of FIG.

Therefore, from the next day, the control means 4 controls the drive main unit 1 according to the temperature pattern based on the changed neural network (see FIG. 6). Since the temperature pattern has been changed in a more desired manner, comfortable cooling and heating can be realized.

The determination of the degree of the instruction from the temperature adjusting means 2 does not focus on the number of times of the adjustment instruction,
When the adjustment is instructed to be larger than the current temperature, such as "very cold", it may be determined to make a change.

The method of instructing the temperature adjusting means 2 to adjust is not "slightly cold" or the like in accordance with the fuzzy rules.
The adjustment instruction may be a relative temperature difference such as “lower by 1 degree” or “warm by 3 degrees”.

Further, the temperature pattern itself may be changed every time there is an instruction, without making a judgment in response to an instruction from the temperature adjusting means 2.

The temperature pattern does not necessarily need to be constituted by a neural network.

The time zone and the temperature pattern do not necessarily need to be determined from the person and his / her activity.

Further, the temperature pattern in the above embodiment is for one day, and the week day and the day off are not distinguished. However, a temperature pattern that distinguishes the week day and the holiday may be provided.

[0031]

As is apparent from the above description, according to the present invention, a temperature pattern storage means for storing a temperature pattern corresponding to a time zone, and the temperature read out from the temperature pattern storage means are used for the temperature adjustment. Since the correction is made by the instruction from the means, fine air adjustment according to the time zone can be realized.

In particular, by deciding the temperature pattern in consideration of the person and the state of the person, appropriate cooling and heating can be performed according to the taste and activity of the person.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of an air conditioner according to the present invention.

FIG. 2 is a diagram illustrating a relationship between a time zone and a person's activity status, which is a premise when a living room temperature pattern is assumed, according to an embodiment of the present invention.

FIG. 3 is a diagram showing a standard temperature pattern in one embodiment of the present invention.

FIG. 4 is a graph showing a modification example using a fuzzy rule according to an embodiment of the present invention.

FIG. 5 is a graph showing a neural network according to one embodiment of the present invention.

FIG. 6 is a graph showing an output of an optimum temperature by a neural network according to one embodiment of the present invention.

FIG. 7 is a diagram showing a corrected temperature pattern according to an embodiment of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Drive main body part 2 Temperature adjustment means 3 Temperature pattern storage means 4 Control means 5 Temperature pattern change means 6 Timer

──────────────────────────────────────────────────続 き Continued from the front page (72) Inventor Tetsuya Niwa 4-1-2, Hirano-cho, Chuo-ku, Osaka-shi Inside Osaka Gas Co., Ltd. (56) References JP-A-2-306039 (JP, A) (58) ) Field surveyed (Int.Cl. ⁶ , DB name) F24F 11/02

Claims (3)

(57) [Claims] An air conditioner having a drive main body for performing air adjustment and a temperature adjusting means for instructing temperature adjustment is configured by a neural network that stores a temperature pattern corresponding to a time zone. Temperature pattern storage means, control means for correcting the temperature read from the temperature pattern storage means with an instruction from the temperature adjustment means, and controlling the drive main body based on the correction, and instructions from the temperature adjustment means Temperature pattern change means for correcting the temperature pattern stored in the temperature pattern storage means according to the result of the temperature correction by the control means. An air conditioner with a learning function. 2. The temperature pattern stored in the temperature pattern storage means is a temperature pattern according to a time zone, which is determined in consideration of a person and a state of the person. Air conditioner with learning function. 3. An air conditioner having a drive main body for performing air adjustment and a temperature adjusting means for instructing temperature adjustment, a time zone determined in advance in consideration of a person and the state of the person. Temperature pattern storage means for storing a temperature pattern corresponding to the temperature pattern, and a control means for correcting the temperature read from the temperature pattern storage means with an instruction from the temperature adjustment means, and controlling the drive main body based on the correction. An air conditioner comprising: