JPH05133583A - Air conditioner - Google Patents

Abstract

PURPOSE:To perform suitable room cooling/heating depending on individual liking and activity by correcting a temperature read from temperature pattern memory means for storing a temperature pattern responsive to a time zone according to a command from temperature regulating means. CONSTITUTION:A standard temperature pattern responsive to a time zone of one day is stored in temperature pattern memory means 3 previously formed of a neural network. Control means 4 corrects a temperature read from the means 3 according to a command from temperature regulating means 2 and controls a drive body 1 based on it. On the other hand, temperature pattern altering means 5 decides the degree of the command from the means 2, and corrects the pattern stored in the means 3 based on the result in response to a correcting content of the temperature by the means 4. Thus, a delicate air condition responsive to the time zone can be performed, and suitable room cooling/heating depending on individual liking and activity can be achieved.

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 Recently, in an air conditioner (hereinafter, simply referred to as an air conditioner), not only is temperature and humidity set in advance and control is performed in accordance therewith, but more comfortable air conditioning is performed. , The ones that have made it possible to learn are introduced.

For example, in order to determine the comfortable temperature, humidity, and wind direction, the intake temperature, the intake temperature change, the outside air temperature, the air volume, the set temperature, the wind direction, and the comfort level (Predicted Me
There is one that uses a neural network to learn the relationship of "an Vote" and predicts and controls the comfort level. By carrying out 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 conditioners", 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 the individual preference, and even the same individual may return home at night immediately after waking up in the morning, depending on the activity situation. Immediately after that, it depends.

It is desired to develop an air conditioner capable of appropriately coping with such an actual situation.

An object of the present invention is to provide an air conditioner capable of appropriately adjusting the air in accordance with the taste of the individual or the activity situation in consideration of the problems of the conventional air conditioner.

[0007]

SUMMARY OF THE INVENTION According to the present invention, a temperature pattern storage means composed of a neural network for storing a temperature pattern according to a time zone and a temperature read from the temperature pattern storage means are temperature-adjusted. The temperature pattern stored in the temperature pattern storage means is determined based on the result of the determination by the control means for controlling the drive main body portion based on the instruction and the degree of the instruction from the temperature adjustment means. Is a learning function-equipped air conditioner equipped with a temperature pattern changing means for modifying the temperature according to the details of temperature modification by the control means.

Further, according to the present invention, a temperature pattern storage means for storing a temperature pattern according to a time zone, which is determined in advance in consideration of the person and the state of the person, and the temperature pattern storage means is read out. The air conditioner is provided with a control unit that corrects the temperature according to an instruction from the temperature adjusting unit and controls the drive main body based on the instruction.

[0009]

In the present invention, the standard temperature pattern according to the time zone of the day is stored in advance in the temperature pattern storage means composed of the neural network, and the control means reads it from the temperature pattern storage means. The temperature thus adjusted is corrected by an instruction from the temperature adjusting means, and the drive 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 based on the result, corrects the temperature pattern stored in the temperature pattern storing means in accordance with the temperature correction content of the control means. To do.

Further, according to the present invention, the temperature pattern storage means stores the temperature pattern determined in advance in consideration of the person and the state of the person, according to the time zone, and the drive main body is controlled based on the temperature pattern storage means. , The air 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 structure of an air conditioner with a learning function according to the present invention.

The drive body 1 includes a fan, a compressor, etc.
It is a drive unit for heating and cooling the air. Temperature adjusting means 2
Is a means that is provided on the operation panel and includes a key for instructing adjustment of heating and cooling, such as “a little warm”, “pretty warm”, “slightly cold”, and “pretty cold”.

The temperature pattern storage means 3 is a means for storing a temperature pattern determined in consideration of a person and the state of the person according to a time zone. This temperature pattern is derived from the following idea. In other words, when considering, for example, the case where a living room is heated with a gas fan heater, for example, the preference of the person there for cooling and heating, the living condition of the same person, for example, the state of being relaxed and the state of cleaning. Therefore, the appropriate cooling and heating conditions should be different. However, it is difficult to distinguish such persons and directly detect the correct state. Therefore, we think that people's preferences and living conditions can be roughly grasped during the day. FIG. 2 shows an example of a weekday when the living room is cooled and heated by a gas fan heater.
In the first half of the morning, the father and son are usually preparing to go to work. Also, in the latter half of the morning and during lunch, it is normal for the mother to do housework. In the first half of the afternoon my mother may be relaxing and in the second half we may be preparing dinner. In addition, it is considered that everyone is eating at dinner, and that parents are relaxing at night. Therefore, appropriate air-conditioning control according to the tastes 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 by an instruction from the temperature adjusting means 2 and controlling the drive main body 1 based on the correction. At the beginning of operation, the drive body 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 adjustment means 2, the control means 4 controls the drive main body 1 by adjusting the temperature pattern rather than according to the temperature pattern. To 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 that can be driven even when the power of the air conditioner main body is turned off.

The temperature pattern changing means 5 judges the degree of the instruction from the temperature adjusting means 2, and based on the result, the temperature pattern stored in the temperature pattern storing means 3 is corrected by the control means 4 to correct the temperature. It is a means of making corrections according to the contents. For example, if there is an instruction to correct the temperature with the temperature adjusting means 2 every day, it can be determined that the current temperature pattern is unsatisfactory to the occupants. The temperature pattern is corrected according to the correction content. The modification can be realized by changing the weight of the intermediate unit of the neural network. If there is some dissatisfaction, we do not modify the temperature pattern.

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

First, the standard temperature pattern as shown in FIG. 3 is stored in advance in the temperature pattern storage means 3 of the neural network 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 body 1 according to the optimum temperature and the temperature pattern of the time zone read from the temperature pattern storage means 3. The drive body 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 that the air conditioning is a little hot, the key of the temperature adjusting means 2 is adjusted to the scale of "a little cold".

Therefore, 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 according to the fuzzy rule of FIG. Control 1
The correction result is as shown in FIG. 7, for example. In the example of FIG. 7, 7:00, 12:00, 18:00, and 20:00 are corrected, respectively. The number of corrections is 4 times.

The temperature pattern changing means 5 constantly counts the number of correction requests, and compares it with a predetermined threshold number, 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 value, it is presumed that the temperature pattern has large dissatisfaction. If it is less than four times, there is little dissatisfaction, so the next day, heating and cooling will be performed again according to the temperature pattern until then.

When it is determined that there is a lot of dissatisfaction, the temperature pattern changing means 5 corrects the temperature pattern according to the content 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 body 1 according to the temperature pattern (see FIG. 6) based on the changed neural network. The temperature pattern has undergone more desired changes, resulting in comfortable heating and cooling.

The determination of the degree of instruction from the temperature adjusting means 2 does not focus on the number of adjustment instructions, but rather
If the adjustment is instructed to be larger than the current temperature, such as "quite cold", it may be determined to change.

Also, the method of instructing the adjustment of the temperature adjusting means 2 is not "a little cold" according to the fuzzy rule, but
The adjustment instruction may be a relative temperature difference such as "1 degree lower" or "3 degrees warmer".

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

The temperature pattern does not necessarily have to be constructed by a neural network.

The time zone and temperature patterns do not necessarily have to be determined from the person and his / her activity state.

Further, the temperature pattern of the above embodiment is for one day, and the weekday and the rest day are not discriminated from each other, but a temperature pattern may be provided to discriminate them.

[0031]

As is apparent from the above description, according to the present invention, the temperature pattern storage means for storing the temperature pattern according to the time zone and the temperature read from the temperature pattern storage means are adjusted by the temperature control. Since it is corrected according to the instruction from the means, it is possible to realize fine air adjustment according to the time zone.

In particular, by determining the temperature pattern in consideration of the person and the state of the person, it becomes possible to perform proper cooling and heating according to the person's preference and activity situation.

[Brief description of drawings]

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

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

FIG. 3 is a diagram showing a standard temperature pattern in an example of the present invention.

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

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

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

FIG. 7 shows a modified temperature pattern of one embodiment of the present invention.

[Explanation of symbols]

 1 Drive Main Body 2 Temperature Adjusting Means 3 Temperature Pattern Storage Means 4 Control Means 5 Temperature Pattern Changing Means 6 Timers

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Tetsuya Niwa 4-1-2, Hirano-cho, Chuo-ku, Osaka City Osaka Gas Co., Ltd.

Claims (3)

[Claims] 1. An air conditioner comprising a drive main body for air adjustment and temperature adjusting means for instructing temperature adjustment, which is composed of a neural network for storing temperature patterns according to time zones. Temperature pattern storing means, temperature read from the temperature pattern storing means is corrected by an instruction from the temperature adjusting means, and control means controls the drive main body based on the instruction, and an instruction from the temperature adjusting means. And a temperature pattern changing unit that corrects the temperature pattern stored in the temperature pattern storage unit according to the temperature correction content by the control unit based on the result of the determination. An air conditioner with a characteristic learning function. 2. The temperature pattern stored in the temperature pattern storage means is a temperature pattern determined in consideration of a person and the state of the person, according to a time zone. Air conditioner with learning function. 3. An air conditioner provided with a drive main body for air conditioning and a temperature adjusting means for instructing temperature adjustment, the 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 control means for correcting the temperature read from the temperature pattern storage means by an instruction from the temperature adjustment means and controlling the drive main body based on the correction. An air conditioner characterized by having.