JP2976580B2 - Hot air heater control device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a control device for a hot air heater such as a fan heater, an FF type hot air heater and a cooling / heating air conditioner.

[0002]

2. Description of the Related Art Conventionally, a control device for a hot air heater of this type generally has a configuration as shown in FIG. Hereinafter, the configuration will be described.

The temperature setting section 1 is for the user to set the temperature in the room (the space to be heated), the room temperature detecting section 2 is for detecting the temperature in the room, and the combustion control section 3 is for the temperature setting section 1. And the output of the room temperature detecting unit 2 are input to control the operations of the combustion unit 4, the convection fan 5, and the variable air direction blade 6. Combustion unit 4
Is composed of an electromagnetic pump 7 for supplying fuel to a burner (not shown) and a burner fan 8 for supplying air to the burner. The convection fan 5 discharges the air heated by the burner as hot air, and changes the blowout angle of the hot air by the wind direction variable blades 6.

When the room temperature detected by the room temperature detecting section 2 is considerably lower than the temperature set by the temperature setting section 1, the combustion control section 3 controls the combustion section 4 to operate.
And the convection fan 5 is driven at a high rotation speed, and the variable air direction blades 6 are made almost horizontal to send out the warm air into the room. Next, as the room temperature approaches the set temperature, the amount of combustion in the combustion section 4 is reduced, and the convection fan 5 is driven at a low rotation speed. The variable wind direction blades 6 are varied downward so that the warm air crawls on the floor. Control. Thereby, the temperature unevenness of the room temperature is improved, and the room temperature is controlled so as to become the set temperature.

[0005] However, in such a conventional control device for a hot air heater, the room temperature only reaches the set temperature by varying the amount of combustion of the combustion section 4, the amount of air of the convection fan 5, and the angle of blowing hot air. Temperature, such as the temperature of the walls and floors of the space to be heated, or the presence of radiant heat such as solar heat, is not taken into consideration, and depending on the environmental conditions of the room, it may become too hot or too cold. The result was unsatisfactory comfort.

The inventor of the present invention has proposed a radiation sensor 9 comprising an aluminum concave mirror 20 as shown in FIG. 7 and a radiation temperature thermistor 21 provided near the focal point thereof, as shown in FIG.
As shown in the figure, the sensor is mounted on the front panel 30, detects the temperature of the wall surface and floor surface of the space to be heated or radiant heat such as solar heat, and outputs the detected radiant heat to the combustion control unit 3. If the amount of radiation is large, the temperature is lower than the set temperature. A control device for controlling the room temperature to be higher than the set temperature when the amount of radiation is small is considered. According to this, the room temperature is controlled to be higher or lower than the set temperature depending on the radiation amount of the room, so that the comfort is improved accordingly.

[0007]

However, according to the prior art, as shown in FIG.
0, it was not possible to detect an accurate radiation amount due to the influence of the warm air A from the outlet 31. Further, the thermal sensation felt by a person is affected not only by the room temperature and the radiant heat but also by the flow of the wind, so that the user needs to change the set temperature every time. Therefore, a plurality of pieces of information such as the room temperature detection unit, the radiation detection unit, the number of revolutions of the convection fan, the combustion amount of the combustor, and the angle of hot air blowing are totally determined, and the optimum combustion is performed so as to be in a comfortable state. There was a problem that the amount and the like could not be determined, and the set temperature had to be changed each time according to the situation of the room. Further, even if fuzzy inference is used to determine the combustion amount and the like, there is a problem that adjustment of various parameters of the fuzzy inference cannot be easily performed when the number of parameters increases.

The present invention solves the problems of the above-described conventional configuration. At least, the present invention is based on information on a room temperature detecting unit, a radiation detecting unit, a rotation speed of a convection fan, and a combustion amount of a combustor.
It is a first object of the present invention to fuzzy infer the state of the thermal balance of the human body and to control the heating so that the human body can be heated to a neutral state where the thermal balance is not hot or cold, thereby improving comfort.

In addition, various parameters of fuzzy inference for inferring the state of thermal balance of the human body are optimally adjusted according to a learning rule such as a steepest descent method, so that a room temperature detecting unit, a radiation detecting unit, a rotation speed of a convection fan, It is a second object of the present invention to provide a hot air heater equipped with a neuro-fuzzy inference device for realizing a relationship between information on a combustion amount of a combustor and a state of thermal balance of a human body.

[0010]

In order to achieve the above object, the present invention provides a combustion unit, a room temperature detecting unit for detecting a room temperature,
A radiation detector for detecting the amount of radiation from the wall surface or the like of the heating space, and a convection fan for delivering warm air to the room, the warm
Fuzzy inference of PMV value, a measure of chamber space comfort
Inference unit and PM determined by this fuzzy inference unit
The amount of combustion in the combustion section according to the V value, the number of revolutions of the convection fan
And a combustion control unit that controls the fuzzy inference unit.
Sensor outputs from the room temperature detection unit and the radiation detection unit, and
Equipment to set the amount of combustion in the combustion section and the speed of the convection fan
Control information and the amount of human clothing, activity and humidity
Enter the fixed value set as the average condition of the internal environment as the input parameter.
Data as inference.

[0011] The fuzzy inference unit inputs the fuzzy inference.
At least room temperature, radiation temperature and equipment as force parameters
Control signals to set the combustion and airflow
In addition, the amount of human clothing, activity, and humidity are
A learning operation is performed by a neuro-fuzzy inference unit optimized by a learning rule such as the steepest descent method using a PMV value of a heated space as a constant value as a teacher signal .

Furthermore, input parameters of the fuzzy inference unit
At the same time as inputting the angle output of the wind direction variable blade for varying the hot air blowing angle, and the combustion control unit according to the PMV value determined by the fuzzy inference unit, the combustion amount of the combustion unit, the rotation speed of the convection fan, This is a control device for a hot air heater that controls the angle of the wind direction variable blades and performs PMV control in consideration of the direct effect of the hot air on the human body .

[0013]

According to the control device for the warm air heater of the above-mentioned means, heating is performed by fuzzy inference from information such as the room temperature detecting section, the radiation detecting section, the number of revolutions of the convection fan, the combustion amount of the combustor, and the hot air blowing angle. temperature of the space, the radiation amount, the gas flow velocity by the total to determine, in the configuration of easy single radiant detection unit, of the heating space PMV (Predicted MeanV-o
te) By estimating the value, the combustion amount, so that the PMV becomes 0,
By controlling the air volume and the like, it is possible to realize heating that most people (95% or more) feel comfortable. In addition, by optimally adjusting various parameters of fuzzy inference by a learning rule such as the steepest descent method, the room temperature detection unit, the radiation detection unit, the rotation speed of the convection fan, the combustion amount of the combustor, the blowout angle of the hot air, etc. The relationship between the information and the PMV value of the heated space can be easily realized.

[0014]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to FIGS. The same components as those in the conventional example are denoted by the same reference numerals, and description thereof is omitted.

In FIG. 1, the PMV value of the space to be heated is
The fuzzy inference unit 10 performs fuzzy inference from the room temperature detecting unit 2, the radiation detecting unit 9, the amount of combustion, the rotation speed of the convection fan 5, and the input information of the angle of the wind direction variable blade 6. Here, PMV is a thermal sensation index established by the ISO (International Organization for Standardization), and quantitatively evaluates comfort from a certain environment's temperature, humidity, airflow, radiation, human clothing, and activity. When PMV = 0, the human body is in thermal balance, and 95% or more of the people feel comfortable. The combustion amount setting unit 15 controls the combustion amount of the combustion unit 4 and the air volume of the convection fan 5 according to the PMV value inferred by the fuzzy inference unit 10, and further controls the variable wind direction blade angle of the variable wind direction blade 6. . For example, as shown in FIG. 2, if the PMV value is negative, the combustion amount is increased, the rotation speed of the convection fan 5 is increased, the wind direction variable blade 6 is set substantially horizontal, and warm air is sent out to the entire room. Then, warm the floor and wall surfaces quickly. Conversely, if the PMV value is positive, the combustion amount is reduced, the rotation speed of the convection fan 5 is reduced, and the angle of the wind direction variable blade 6 is set downward, so that the PMV value increases as warm air as gentle as possible. Works to hold down.

The fuzzy inference is based on a rule such as "slightly cold when the room temperature is low, the radiation amount is slightly low, the combustion amount is slightly high, the blowing amount is slightly high, and the angle of the variable wind direction blade is slightly downward." Done in Here, the room temperature is "low", the radiation amount is "slightly low", the combustion amount is "slightly strong", the blowing amount is "slightly strong", the angle of the variable wind direction blade is "slightly downward", and the thermal sensation is "slightly cold". Is quantitatively expressed by membership functions as shown in FIGS. 3A to 3E and FIG.

The fuzzy inference unit 10 shown in FIG. 1 first obtains the suitability of the membership function relating to the room temperature detector 2 and the room temperature by taking the Max value of both of them in the suitability calculator 11. Similarly, a predetermined degree of conformity is determined for the radiation detector 9, the combustion amount of the combustor 4, the rotation speed of the convection fan 5, and the angle of the wind direction variable blade 6. Furthermore, the Min of the above five degrees of conformity is taken and is taken as the degree of conformity of the antecedent. The weighting calculation unit 12 takes the fitness degree obtained in the antecedent part and the Min of the thermal sensation membership function in the consequent part, and concludes the rule.

For all the rules, the respective conclusions are obtained and weighted by the weighting operation unit 12, and then the Max value calculation unit 13 takes the Max value of all the conclusions and calculates the center of gravity to obtain the final optimum value. A PMV value as a thermal sensation is determined.

The membership functions relating to the antecedent part of the room temperature, the radiation amount, the combustion amount, the blown air amount, the wind direction variable blade angle, and the consequent part of the PMV (thermal sensation) are respectively stored in the antecedent storage unit 14a and the consequent part. Stored in the storage unit 14b,
a and the consequent part storage unit 14b. The inference rule is obtained by referring to the control rule storage unit 14.

The combustion amount is determined by the combustion amount setting unit 15 based on the PMV value determined by the above-described fuzzy inference, and the combustion control unit 4 controls the electromagnetic pump 7, the burner fan 8, the convection fan 5, and the wind direction variable blade 6. Control the angle.
The fuzzy inference unit 10 and the combustion control unit 16 can be easily realized by a microcomputer.

Next, an embodiment in which the fuzzy inference unit 10 is replaced with a neuro-fuzzy inference unit 40 will be described with reference to FIG. First, an appropriate initial value is set in the membership function storage means 41, combustion is started, and the PMV value of the space to be heated is estimated. Here, the PMV value of the heated space is actually measured and used as a teacher input. The difference between the estimated value and the teacher input is calculated by the comparator 42 and used as an error value. The adjuster 43 reduces the error value by adjusting the membership function by the steepest descent method according to the error value.

[0022] room temperature, radiation level, the combustion amount, air blowing amount, by repeating the parameter adjustment of the above for various cases of the wind direction variable vane angle, it is possible to construct the parameters optimal fuzzy inference automatically. Note Of the factors that determine the PMV value, human amount of clothing, humidity Typical values in winter, also metabolic rate sets the numerical value fixed at about lighter light work.

Here, adjusting the membership function means that
For example, adjusting the parameters that define the membership function, such as the center value and width of the triangular membership function and the consequent part real value.

In this embodiment, a method of adjusting parameters while sequentially inputting teacher data is used. However, a method of setting a plurality of data strings of fuzzy inference input and teacher input in advance and performing parameter adjustment work at once is also possible. Conceivable.

The steepest descent method is generally used as a learning rule of a neural network.
It is possible to automate the fuzzy inference construction work performed in the trial, and to construct fuzzy inferences that represent complicated input / output relationships that cannot be adjusted by humans.

In this embodiment, the amount of human clothing and the humidity are set to values suitable for winter and the metabolic rate is set to a value for light work. It is needless to say that a fuzzy inference device that takes these input conditions into consideration can be constructed using the same method as that of the present embodiment even if the configuration can be changed by means. If the airflow direction variable blade is not provided, the air flow velocity and the like determined by this can be fixed to an appropriate value.

[0027]

As is apparent from the above embodiments, according to the present invention, the room temperature detecting section, the radiation detecting section for detecting the amount of radiation from the wall surface of the space to be heated, the amount of combustion in the combustion section and the convection fan The PMV value of the space to be heated can be estimated based on information such as the number of revolutions of the hot air and the blowing angle of the hot air, and the amount of combustion, the number of rotations of the convection fan, the blowing of the hot air can be estimated so that the PMV value approaches zero. Since the angle is controlled, it is possible to control so that the human body can be heated to a neutral state in which the human body is in a hot or cold state in accordance with the state of the heated space, and the comfort can be improved. In addition, since a set temperature is unnecessary, a standard operation heater with simple operation that does not require wasteful operation is required.
Can be provided . In addition, by optimally adjusting various parameters of fuzzy inference by a learning rule such as the steepest descent method, the construction work of fuzzy inference conventionally performed by cut and try can be automated, and complicated input that cannot be adjusted by humans can be performed. Output association can be easily realized. In addition, since various noises included in each input information are also totally determined based on the plurality of input information, sensors such as a radiation detection unit can be configured in a simple configuration, and as a result, the accuracy is high. Comfortable hot air heating can be performed.

[Brief description of the drawings]

FIG. 1 is a block diagram of a control device for a hot air heater according to an embodiment of the present invention.

FIG. 2 is an explanatory diagram of the operation of the control device.

FIGS. 3A to 3E are membership function diagrams of an antecedent part of the control device.

FIG. 4 is a membership function diagram of a consequent part of the control device.

FIG. 5 is a block diagram of a neuro-fuzzy inference device of the control device.

FIG. 6 is a block diagram of a conventional control device for a hot air heater.

FIG. 7 is a cross-sectional view of a radiation sensor used in the present invention and a conventional example.

FIG. 8 is a sectional view of a hot air heater used in the present invention and a conventional example.

[Explanation of symbols]

 2 Room temperature detection unit 4 Combustion unit 5 Convection fan 6 Wind direction variable blade 9 Radiation detection unit 10 Fuzzy inference unit 15 Burning amount setting unit 40 Neuro-fuzzy inference unit 41 Membership function storage unit 42 Comparator 43 Adjuster

──────────────────────────────────────────────────の Continuing on the front page (72) Inventor Takashi Nishikawa 1006 Kazuma Kadoma, Osaka Pref. Matsushita Electric Industrial Co., Ltd. (72) Inventor Hiroshi Ishihara 1006 Kadoma Kazuma Kadoma, Osaka Matsushita Electric Industrial Co., Ltd (72) Inventor Masao Yoshikawa 1006 Kadoma, Kadoma, Osaka Prefecture Inside Matsushita Electric Industrial Co., Ltd. Field (Int.Cl. ⁶ , DB name) F24H 3/04 305

Claims (3)

(57) [Claims] A combustion unit; a room temperature detection unit for detecting a room temperature;
A radiation detector for detecting the amount of radiation from the wall surface or the like of the heating space, and a convection fan for delivering warm air to the room, the warm
Fuzzy inference of PMV value, a measure of chamber space comfort
Inference unit and PM determined by this fuzzy inference unit
The amount of combustion in the combustion section according to the V value, the number of revolutions of the convection fan
And a combustion control unit that controls the fuzzy inference unit.
Sensor outputs from the room temperature detection unit and the radiation detection unit, and
Equipment to set the amount of combustion in the combustion section and the number of revolutions of the convection fan
Control information and the amount of human clothing, activity and humidity
Enter the fixed value set as the average condition of the internal environment as the input parameter.
A control device for a hot air heater that is inferred as data. A fuzzy inference unit for inputting the fuzzy inference;
At least room temperature, radiation temperature and equipment
While using the control signal to set the amount of burning and the amount of air blow,
The amount of human clothing, activity, and humidity are fixed values for the indoor environment in winter.
The control device for a warm air heater according to claim 1 , wherein the learning operation is performed by a neuro-fuzzy inference unit optimized by a learning rule such as a steepest descent method using the PMV value of the heated space as a teacher signal . 3. The input parameter of the fuzzy inference unit is small.
In addition to inputting the angle output of the wind direction variable blade that varies the hot air blowing angle, the combustion control unit, in accordance with the PMV value determined by the fuzzy inference unit, the combustion amount of the combustion unit,
Rotational speed of the convection fan to control the angle of the wind direction variable vane, hot air
3. The control device for a hot air heater according to claim 1, wherein the PMV control is performed in consideration of the direct influence of the heat on the human body . 4.