JPH10332187A - Air-conditioning control system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform air-conditioning according to a predicted mean value that is suited for the warmth/heating feeling of a user, by adjusting a moisture penetration coefficient with a large personal difference in an expression for calculating a predicted mean value index. SOLUTION: A prediction mean value(PMV) index operation means 52a receives the output of a physical information detection means 61 and calculates a PMV index Y that indicates the comfort of a human body based on a comfort equation for describing the balance of the amount of input/output of heat into a human body using an expression, where L=M/ADu.(1-η)-575m. 43-0.061(M/ ADu)(1-η)-Pa}, M is a metabolic amount, η is an external work efficiency, Pa is an ambient steam pressure, ADu is human body surface area, and m is the moisture penetration efficiency of skin, thus performing air-conditioning according to the PMV value that is suited for the warmth/heating feeling of a user and improving comfort.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air-conditioning control system for controlling air-conditioning based on a PMV index obtained from a comfort equation, and more particularly to an improvement in adaptability to individuals.

[0002]

2. Description of the Related Art It is difficult to define a comfortable environment for human beings because the hardware aspects of buildings and equipment are intertwined with the soft aspects of the physiology and psychology of the human body. It can be said that the environment has basic factors such as "safety" and "functionality". From the perspective of air conditioning, the basic first stage of the technical level required to realize a comfortable environment is simply temperature adjustment to remove heat and cold, and the second stage is the physiology felt by human skin feeling It is the control of temperature, humidity, airflow, and radiation that satisfies the desire. The current air conditioning technology deals with just this problem, and attempts are being made to use PMV indicators. From now on, it will be necessary to realize an environment that is optimal for daily activities and to give people under that environment sufficient satisfaction not only physiologically but also psychologically.

[0003] In ASHRAE, the comfort of a thermal environment is defined as "a state of mind that can express satisfaction with the thermal environment", and if 80% or more of the group can express satisfaction, the environment is comfortable. Is determined.

Although it is difficult to quantitatively evaluate the thermal sensation of a human being because various factors are involved in a complex manner, various means have been studied from the past, and many thermal environmental indicators have been proposed. . These indices are roughly classified as follows.

Indices based on physical measurement (such as glove thermometer) Indices based on subjective and empirical ones (effective temperature, discomfort index, etc.) Indices based on human thermal equilibrium equation (such as PMV index) Since the comfort of a vehicle can be directly expressed as a thermal sensation by numerical values, the PMV index 4) by Fanger is often used as a method for evaluating the thermal environment in air conditioning.

[0006] PMV (Predicted Mean V)
The ote) index is a link between the thermal load of the human body and the thermal sensation of the human, starting from the comfort equation in the human body. The comfort equation is based on the four elements on the environmental side of temperature, humidity, airflow, and radiation, and the four elements on the human body side of metabolism, clothing, average skin temperature, and evaporation due to sweat. This is an expression obtained by substituting the expression for skin temperature and the amount of heat radiation due to perspiration when a person feels comfortable into the expression. The thermal equilibrium equation is given by the following equation.

H−Ed (m) −Esw−Ere−L = R + C (1) where H: internal heat of the human body (= metabolism−external work) Ed: heat loss due to insensitive evaporation from the skin surface : Heat loss due to evaporation of sweat from the skin surface Ere: Heat loss of latent heat due to breathing L: Heat loss due to sensible heat due to breathing R: Heat loss due to radiation from the clothing surface C: Heat loss due to convection from the clothing surface By incorporating each heat radiation amount calculation formula and further providing a skin temperature as a physiological amount and a comfortable condition of heat loss due to evaporation of sweat, the following comfort equation is obtained.

[0008]

(Equation 2)

Where M: metabolic rate [kcal / h] η: efficiency of external work ts: skin temperature [° C.] Pa: environmental water vapor pressure [mmHg] ADu: human body surface area [m ² ] ta: temperature [ ° C] tcl: Clothing surface temperature [° C] Icl: Clothing amount [clo] fcl: Human body surface area ratio tmrt: Average radiation temperature [° C] hc: Human body convective thermal conductivity [kcal / m ² · h · ° C H = M (1−η) The skin temperature ts and the heat loss Esw from the skin as comfort conditions are experimentally given by the following equations.

[0010]

(Equation 3)

[0011] By using such a comfort equation, a combination of thermal conditions for comfort can be obtained. However, the comfort equation only shows the combination of comfortable thermal environment conditions with thermal equilibrium with the environment of the human body, and shows how a certain thermal environment looks like a thermal sensation Can not.

Therefore, the amount of heat imbalance between the human body and the environment is determined as a thermal load on the human body by a comfort equation, and a PMV index obtained by experimentally linking this to the thermal sensation of a human being is used. In other words, human thermal sensation is considered to be related to the heat load of the human body. The human body heat load L is defined as the difference between the amount of internal heat generated and the amount of heat released to a person who maintains the skin temperature and the amount of sweat during comfort, and is expressed by the following equation.

[0013]

(Equation 4)

The relationship between the heat load L and the PMV index value Y indicating thermal sensation is experimentally derived from the following equation.

[0015]

(Equation 5)

As described above, the PMV index indicates the thermal environment as a numerical value of thermal sensation. For example, in the 7-point evaluation, when +3 is “hot”, +2 is “warm”, +1 is “slightly warm”, 0 is “neither”, −1 is “slightly cool”, -2 is “cool”, -3 corresponds to a feeling of warmth such as "cold". There are various combinations for obtaining the same PMV value as can be determined from the equation. In addition, the ISO standard states that PPD
It is desirable that the index be equal to or less than 10%, which corresponds to the range of -0.5 to +0.5 of the PMV index.

[0017]

SUMMARY OF THE INVENTION However, PMV
Given how much of the index is tolerated by those in the environment, the PMV index is merely a measure of comfort. Therefore, a separate PPD index (Predicted Percentage of dissatisfied)
A quantity that quantitatively predicts the proportion of people who feel thermally unsatisfactory in a certain environment has been considered. For example, PM
It is reported that when the V index value is 0, the PPD index indicates 5%, which means that even in the neutral state where the PMV index is considered to be the most comfortable, 5% of the persons are always unsatisfied. Indicates that Therefore, in the air-conditioning control using the PMV index, even if the PMV index value is 0 (indicating a comfortable state), about 5% of the people are not satisfied and have some dissatisfaction.

That is, the PMV index is merely an average degree of satisfaction with the thermal environment and does not correspond to personal evaluation. This is because the correspondence between the human body heat load and the PMV index value is obtained from a large amount of subject data. That is,
When air conditioning is uniformly performed in a large-scale space where many people exist, it is considered that the comfort index value averaged to some extent is effective, but it is intended for a small number of people or a personal space In air conditioning, it is considered that the user's individual satisfaction is more important than the averaged comfort index, and it is necessary to perform air conditioning control corresponding to the individual's satisfaction.

In view of the above, the present invention is called a skin moisture permeability coefficient, which has a large individual difference among the parameters for calculating the heat loss (heat release amount) Ed due to insensitive evaporation and can be obtained only experimentally. The basic purpose is to adjust the moisture permeability coefficient of the skin to perform air conditioning according to the PMV value suitable for the user's personal feeling of heat. It is an object of the present invention to provide a method for setting a control index of an air conditioner which can be performed.

Further, the present invention also aims at constructing an information processing system which can be utilized as much as possible without making the human being aware of the machine in the process of setting the control target, and which enhances comfort. I have.

[0021]

Means taken by the present invention to achieve the above object is that the moisture permeability coefficient m which is assumed to be a constant value in the above equation (5) used for calculating the PMV index is used. It is an object of the present invention to configure an air conditioning control system having a function of calculating a PMV index according to a user's individual difference by adopting a configuration that can adjust the air conditioner. Specifically, Claims 1 to
Means relating to the air conditioning control system described in 7 are taken.

According to the present invention, there is provided an air conditioning control system for detecting physical information for detecting a physical parameter relating to a thermal sensation of a human body in an air-conditioned space controlled by an air conditioner (54). Means (61) and the output of the physical information detection means (61), and based on a comfort equation describing the balance of the amount of heat flowing into and out of the human body, a PMV index Y representing the comfort of the human body is expressed by the following equation.

[0023]

(Equation 6)

L = (M / ADu) · (1−η) −575 m
・ {43-0.061 (M / ADu) (1-η) -Pa} (M is metabolism, η is efficiency of external work, Pa is water vapor pressure of environment, ADu is body surface area of human body, m is skin PMV index calculating means (52a) for calculating from the PMV index), control target setting means (52b) for setting the control target range of the PMV index, and PMV index calculating means (52).
air conditioner control means (53) for controlling the operation state of the air conditioner (54) so that the PMV index calculated in a) is within the control target range of the PMV index; and the PMV index calculation means (52a) Has a moisture permeability coefficient adjusting means (52c) for adjusting the skin moisture permeability coefficient m in the above equation used in calculating the PMV index.

The matters specifying the invention of claim 1 are described in a solid line portion in FIG. Thereby, the PMV calculation means (5
2a), the PMV index Y is calculated.
Since only the moisture permeability coefficient m having a large individual difference among the elements in the above equation for calculating the index Y can be adjusted, the advantage of the high objectivity of the system for performing air conditioning control based on the PMV index Y is utilized, In addition, personal adaptability is improved.

According to a second aspect of the present invention, in the air conditioning control system according to the first aspect, there is provided a feeling information detecting means (62) for detecting feeling information relating to a warm feeling among words of a user of the air conditioner. Sensibility information detecting means (62)
And a sensitivity information converting means (51) for obtaining a load of a factor including at least a feeling of comfort for determining the user's feeling of warmth, wherein the feeling information detected in step (c) is provided. Correcting the moisture permeability coefficient m according to the load of the factor converted by the sensitivity information conversion means (51) so that the load of the feeling of comfort becomes equal to or larger than the threshold when the PMV index is within the control target range. can do.

The invention-specifying matters added by claim 2 are shown in the broken line portion of FIG. According to claim 2,
A so-called user-friendly air-conditioning control system that does not make the user conscious of the machine can be obtained by using the emotion information included in the words of a person.

According to a third aspect of the present invention, in the air conditioning control system according to the second aspect, it is preferable that the factors include a feeling of comfort, a feeling of warm and cool, a feeling of dry and wet, and a feeling of wind speed.

According to a fourth aspect of the present invention, in the air-conditioning control system according to the third aspect, the loads of the feeling of comfort, the feeling of warmth and cold, the feeling of dry and wet, and the feeling of wind speed are respectively α1, α2, α3,
As α4, the moisture permeability coefficient adjusting means (52c) is used. When the PMV index Y is within the control target range and the load amount α1 of the feeling of comfort obtained by the sensitivity information converting means (51) is lower than the threshold value q, The moisture permeability coefficient m can be changed based on the following equation: m = m + k1 (q-α1) · α2 (k1 is a coefficient).

Further, as described in claim 5,
4. The air-conditioning control system according to claim 3, wherein the load amounts of the comfort sensation, thermal sensation, dry and humid sensation, and wind sensation are respectively α1, α
The moisture permeability coefficient adjusting means (52c) as 2, α3, α4
When the PMV index Y is out of the control target range and the load α1 of the feeling of comfort obtained by the sensitivity information converting means (51) is equal to or larger than the threshold q, the transmission is performed based on the following equation m = m−k2 · Y. The wetness coefficient m can be changed.

According to the fourth or fifth aspect, when the comfort range indicated by the PMV index Y in the current control state is different from the comfort range felt by the user, the PMV index Y
Is calculated automatically, the moisture permeability coefficient m is calculated.
A system for performing air-conditioning control adapted to individual users will be formed.

As described in claim 6, in the air conditioning control system according to claim 2, 3, 4, or 5,
The physical information detecting means (61) has a function of detecting at least a physical parameter including the air temperature of the air-conditioned space, and the control target setting means (52b) has a control target value of the physical parameter including at least the air temperature. Preferably, the air conditioner control means (53) is also provided with a function of controlling the air conditioner (54) so that at least the physical parameter including the air temperature becomes the control target value. .

The particulars of the invention added by claim 6 are indicated by the dotted lines in FIG. This makes it possible to realize a comfortable air-conditioning state while maintaining the state of the air-conditioned space including at least the air temperature at the state desired by the user.

According to a seventh aspect of the present invention, in the air conditioning control system according to the sixth aspect, the control target setting means (52b) determines that the PMV index Y is outside the control target range and the sensitivity information When the load of the feeling of comfort obtained by the conversion means (51) is lower than the threshold value q, it is preferable to provide a function of changing a control target value of a physical parameter including at least the air temperature.

As a result, the user friendliness of the air conditioning control system is further improved.

[0036]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Before describing the embodiments of the present invention, the above-described PMV, which is the basic principle of the present invention, will be described.
The details of the index will be described.

As described above, the PMV index is a numerical value that objectively expresses the comfort experimentally derived using the comfort equation (1) as a base, and has an important value. However, even when the PMV index value is 0 as described above, 5%
Because of the fact that some people feel unsatisfied, not all elements that make up comfort can be objectiveized, and there must be elements that have individual variations.

Therefore, when the above-mentioned comfort equation (1) is reviewed, it has been pointed out that it is difficult to make the heat release amount Ed due to insensitive vaporization in the comfort equation (1) objectively difficult. . Here, the heat radiation amount E due to insensitive evaporation
d is the amount of heat excreted from the skin surface of the human body due to components other than the human body's sweat, such as blood flow, and is not a parameter that is determined almost uniquely when the environment such as temperature and humidity is determined, but depends on the physical constitution of the individual. It has been found that the variation is large.

The point will be described specifically.
The dead heat radiation amount in the comfort equation of nger is calculated by the following equation (7) Ed = λ · m · Adu (Ps−Pa) (7) Where λ: latent heat of vaporization of water [kcal / kg] m: skin moisture permeability coefficient [kg / m ² · h · mmHg] Ps: water vapor pressure against skin temperature ts [mmHg] Pa: environmental water vapor pressure [mmHg] ADu: Body surface area [m ² ].

Further, Fanger states that the latent heat of evaporation λ of water is 57
5 [kcal / kg], skin moisture permeability coefficient m was experimentally 6.1 ×
10-4 and ^{[kg / m 2 · h ·} mmHg], it is calculated by the following equation steam pressure Ps against skin temperature ts (8) Ps = 1.92ts -25.3 (8). Therefore, the amount of heat-dissipated heat-dissipation Ed is
This is calculated by the following equation (9): Ed = 0.35Adu (1.92ts-25.3) (9) That is, the above equation (5)
Is obtained by experimentally assuming the moisture permeability coefficient m of the skin to be the above value. In the equation (5), the equation (9) is used.
The heat radiation amount Ed due to the excretion calculated by the following formula is included.

Here, the problem is that the humidity gradient, which is the driving force for evaporation, depends on the water vapor pressure Ps on the skin surface and the water vapor pressure Pa on the environment.
The point that the transmission coefficient is given by the skin moisture permeability coefficient m. That is, in the equation (7), the latent heat of evaporation of water λ, the water vapor pressure Ps on the skin surface, the water vapor pressure Pa of the environment, the body surface area ADu, and the like are objectively determined values. However, the moisture permeability coefficient m is an element having a large individual difference, and is merely an average value of a large number of persons even when experimentally obtained as described above. The variation in the moisture permeability coefficient m is determined by the PMV indices Y and P obtained from the comfort equation.
It is presumed that this is a relatively large cause of inconsistency with the PD index.

Now, consider the effect of the change in the moisture permeability coefficient m on the PMV index Y. The PMV index Y is calculated by the above equation (6). Further, the heat load L in the equation (6) is represented by the equation (5). Here, when 0.35 of the second term coefficient of equation (5) is replaced by 575 × m, when considering the relationship between the average radiation temperature (= room temperature) and the PMV index value, as shown in FIG. PMV by changing m
It can be seen that the diagram moves in parallel.

Conversely, by intentionally changing the moisture permeability coefficient m in this manner, it is possible to move in the temperature zone considered to be comfortable in the PMV index. In the present embodiment, this is used to enable adaptation to an individual.

That is, in the present embodiment, the following expression (1)
0) L = (M / ADu) · (1−η) −575 m · {43−0.061 (M / Adu) · (1−η) −Pa} (10) The PMV index Y is calculated by the equations (6) and (10).

FIG. 2 is a conceptual diagram of an air-conditioning control system using a sensitivity information conversion technique according to the present embodiment. In the figure, a solid line indicates a flow of information in the air-conditioning control system of the present embodiment, and a broken line indicates a flow of sensor information common to the present embodiment and a conventional air-conditioning control system.
On the other hand, a dotted line shows a setting method of the conventional air conditioning control system. As shown in FIG.
A sentiment information detecting unit (62) for recognizing a user's voice and detecting verbalized sentiment information of the user; Unit (51) and control target values T, H, V of physical parameters such as room temperature, humidity, and wind speed desired by the user, or based on information converted by the sensitivity information conversion unit (51). A physical parameter setting unit (52) for setting the physical parameters of the air conditioner; and an air conditioning control unit (53) for controlling the air conditioner (54) according to the conditions set by the physical parameter setting unit (52). And a physical information detector (61) provided with a sensor for detecting physical information such as temperature and humidity in the air-conditioned space to be controlled by the air conditioner (54). A calendar function is provided in the physical parameter setting section ((52)), and the date and time can be known.
Since the conditions such as the type of clothing and the type of activity are automatically set on the assumption that they are average, and the physical conditions of the human body are automatically set as average, the above equation (1) is used. ,
(2) The parameters such as the body surface area A Du of the human body, the metabolic rate M, and the clothing surface area ratio f cl of the human body are automatically set. The moisture permeability coefficient m is an average value initially determined from experiments or the like, for example, 6.1 × 10 -4.
[Kg / m ² · h · mmHg]. Further, the physical parameter setting unit (52) includes a moisture permeability coefficient adjusting means for adjusting the moisture permeability coefficient m in the equation (10), a PMV index calculating means for calculating the PMV index Y, and a control target of the PMV index Y. It has a function combined with a control target setting means for setting a control target value T of a range and a room temperature.

Then, the physical parameters such as temperature, humidity, wind speed and the like are controlled by the air-conditioning control unit (53) to control target values T, T
The operation of the air conditioner is controlled so that H, V, and the PMV index Y falls within the control target range (for example, -0.5 <Y + 0.5).

Next, a description will be given of the air conditioning control for modifying and using the PMV index Y based on human language information.

In consideration of the current air conditioning, personal information such as the thermal sensation of the user of the air conditioner can be obtained as a set value such as a set temperature and a set air volume set by the user. At this time, the specific values of the indoor set temperature and the set air volume are not meaningful to ordinary users. For example, if the user feels that the current room temperature is a little high, the user sets a temperature several degrees lower than the current room temperature as a guide. The degree will vary depending on the heat you are currently feeling, and will be set higher if very hot and lower if slightly hot.
Considering this operation, the temperature itself and the setting temperature of the set temperature are not important, but merely a guide. For users,
The physical quantity of temperature is not required, only the sensory satisfaction of whether it is hot or not. An air conditioner requires a physical quantity called temperature, and a temperature as a physical quantity is required for control. In other words, the current interface adopts a style that the human side adapts to the machine.

If the current interface is realized by a human being adapted to a machine, an improvement should be naturally required such that the machine is adapted to the human side. In the case of an air conditioner, it is necessary to determine a physical quantity to be controlled based on a sense of human beings in a thermal environment. There is a need for technology to convert human emotional information into physical quantities that can be handled by machines. Therefore,
In the present embodiment, an air conditioning control system is constructed by using a feeling information conversion technique as shown in FIG.

Here, the configurations of the sensibility information detection section (62) and the sensibility information conversion section (51) will be described. As described above, in the air conditioning control system of the present embodiment,
Acquisition of human emotional information is performed using speech recognition technology because speech is one of the most easily usable interface means for humans without special training. However, ultimately, it is desirable to be able to automatically extract sensibility information from the entire human conversation, etc., but the current speech recognition technology requires a considerably high S / N ratio. Considering that it is difficult to satisfy a satisfactory sound collection technique at present, it is realistic to prepare a plurality of emotion expression words as emotion information as commands. Therefore, in the present embodiment, the linguistic sentiment information is acquired by the voice recognition technology, and the sentiment information is converted into a physical quantity that the air conditioner can use for control by the sentiment information conversion technology. This will be described in detail below.

The emotion information conversion unit (51) of the present embodiment performs the following factor analysis in order to grasp the user's words as physical parameters related to the air conditioning control.

In order to treat words expressing warmth, coldness, and dryness as sensibility information, it is necessary to first examine the semantic relationship between those words. In order to grasp the meaning of words quantitatively, for example, the SD method proposed by Osgood is known. The SD method is an evaluation method based on a grading scale that uses opposite adjectives such as "hot-cold" as both poles. According to the results obtained by the SD method, adjective words having the same contents for a certain evaluation target should have the same evaluation value, so they show a high positive correlation value, and conversely, adjective words having the opposite meaning Indicates a high negative correlation value. There is no correlation between adjectives that have completely different meanings. When the evaluation values obtained by the SD method are collected from a large number of people (at least 100 people are required) and a factor analysis is performed, the basic factors included in the words can be obtained. The basic factor is the minimum factor that can explain the variance of the evaluation value related to words. The factor obtained here can be considered as a basic element of the kansei information, and becomes an axis constituting a multidimensional semantic space.

In the present embodiment, when an expression word of a thermal sensation is input as sensibility information, the factor load of the expression word is as shown in Table 1 below as a comfortable sensation α1, a thermal sensation α2, a dry and humid α3.・ It is assumed that the sense of wind speed is α4.

[0054]

[Table 1]

Note that there are other factors relating to the thermal sensation, such as the seasonal sensation, in addition to the above factors, but it is assumed that other factors such as the seasonal sensation have little effect on the indoor thermal sensation. Ignore it in factor analysis in the form.

FIG. 4 is a diagram showing the relationship between each of the above factors and the factor loading. These factors are referred to as f1, f2, f3,
When defined as f4, the emotion information xi is expressed by the following equation (11): Xi = α1i · f1 + α2i · f2 + α3i · f3 + α4i · f4 + ei (11) Here, αmi is a factor loading, and ei is a unique factor indicating a unique variation.

According to the equation (11), all the prepared sensibility information relating to the thermal sensation is uniquely defined. As described above, the basic components of the emotion information are clarified by the factor analysis. By using the factor analysis results of thermal sensation,
When a sentiment expression relating to a certain thermal sensation is given, it becomes clear what and how to adjust the environmental parameters (temperature, humidity, etc.). That is, the sensitivity information conversion unit (51) of the present embodiment analyzes the factors of the emotion information included in the words of a person, and converts the words of the person into the above factors f1, f2, f3, and f3.
This is converted into the load amount αmi of f4.

As a specific example of performing a factor analysis for evaluating the thermal environment from such human words, there is a report by Nagamachi et al. (Human Interface 1994 Vol.9 N & R, p.27-).
32). According to this report, the SD method of thermal sensation and its factor analysis were performed using urban image slides as a stimulus, and as a result, the five factors of comfortable sensation, thermal sensation, dry and humid sensation, seasonal sensation, and wind speed sensation were determined in order, As f2, f3, f4, f5, factor loadings as shown in Table 2 below are obtained.

[0059]

[Table 2]

Also in the present embodiment, based on the result of the factor analysis similar to that of Nagamachi et al., The load amounts α1, α2, α3, α4 of the respective factors are determined from specific words, and the sensitivity information conversion unit ( A table similar to the above Table 2 can be provided in (51), in which case a table for dialects and foreign languages in various parts of Japan can be prepared. This is for converting the sentiment information in the words used by the user into physical parameters.

Next, the physical parameter setting section (5)
The method of setting the physical parameters in 2) will be described.

The physical parameter setting section (52)
As described above, the moisture permeability coefficient adjusting means for adjusting the moisture permeability coefficient m in the equation (10), the PMV index calculating means for calculating the PMV index Y, the control target range of the PMV index Y and the control target value of the room temperature The following operation can be performed because it has a function in combination with the control target setting means for setting T.

First, a method of adjusting the formula for calculating the PMV index Y with respect to the result of the factor analysis of the sensitivity information in order to perform control based on the sensitivity information will be described. Since the user's feeling of comfort can be inferred from the factor load of the feeling of comfort in the feeling information conversion unit (51), the physical parameter setting unit (5)
In 2), it is determined whether the PMV index Y in that state is within the control target range (for example, -0.5 <Y <+0.5). If the comfort of the user is good, the calculated PMV index Y should be within the control target range. If it is not within the control target range, there is a gap between the PMV index model and the user's thermal sensation, and the PMV index calculation formula must be corrected.

Therefore, when the sensibility information is input in the form of a warm feeling expression, the PMV index at that time is calculated. P
The following control is performed by comparing the MV index Y with the comfortable feeling of the sensibility information.

(I) When the PMV index Y is within the control target range and the load α1 of the feeling of comfort is larger than the threshold value q (for example, 0) In this case, the PMV index Y is within the control target range and the user's comfort Since the feeling is good, the PMV index Y calculated by the current control matches the thermal feeling of the user. Therefore, the moisture permeability coefficient m in the PMV calculation formula (10) is not adjusted.

(Ii) When the PMV index Y is within the control target range and the comfortable load α1 is smaller than the threshold value q (for example, 0), the kansei information is obtained even though the PMV index Y is within the control target range. , The PMV index Y calculated by the current control deviates from the user's feeling of warmth. Then, the moisture permeability coefficient m in the equation (10)
, The calculated value of the PMV index Y is changed. The direction of change is determined based on the thermal sensation information of the sensibility information, for example, by the following equation (11): m = m + k1 (q-α1) · α2 (11)

(Iii) When the PMV index Y is out of the control target range and the load α1 of comfort is larger than the threshold value q (for example, 0) In this case, the PMV index Y is out of the control target range. Since the comfortable feeling of the sensibility information is good, the PMV index Y calculated by the current control deviates from the user's feeling of warmth. Therefore, the calculated PMV index Y
Is corrected by the following equation (12) m = m−k2 · Y (12) so that

(Iv) When the PMV index Y is outside the control target range and the load α1 of comfort is smaller than the threshold value q (for example, 0) In this case, the PMV index Y is outside the control target range, and Since the feeling of comfort also indicates discomfort, it is unclear whether the calculated PMV index Y matches or does not match the user's feeling of warmth. Therefore, without changing the moisture permeability coefficient m for calculating the PMV index, the temperature / temperature corresponding to the load of each of the factors f2, f3, f4 of the thermal sensation, the dryness / humidity, and the wind sensation is not changed.
What is necessary is just to change the set values T, H, and V of the humidity and the wind speed. Specifically, the set values such as temperature are changed by the following equations: T = T + k3 · α2 (13) H = H + k4 · α3 (14) V = V + k5 · α4 (15) However, in the above equations, k1, k2, k3, k4, and k5 are coefficients for parameter adjustment.

As described above, when the calculated PMV index Y does not match the comfort of the user, the PM
Since the control target range of the V index Y is not changed but the moisture permeability coefficient m is changed, objective parameters in the equations (6) and (10) for calculating the PMV index Y need to be changed. Only the parameters that are sensitive to the user's personal factors are changed. Therefore, air conditioning control with high individual adaptability can be performed while taking advantage of the air conditioning control based on the PMV index Y.

In particular, in this embodiment, in the air conditioner control based on the PMV index, it is possible to realize a warm environment according to the user's sensitivity. That is, when certain sensitivity information is input in a thermal environment, if the factor load of the sensitivity information is known, it is possible to know what thermal environment the user wants to change from the current state. Therefore, if the physical parameter is changed in accordance with the factor load of the sensibility information, it changes in the direction of the thermal environment desired by the user. For example, when the factor load relating to thermal sensation is large, the temperature control is mainly performed. If the factor load related to dryness and humidity is large, humidity control is mainly used. In this way, according to the present embodiment, an air conditioner can be used without making the machine conscious of the machine as much as possible, and an air conditioning control system for improving comfort can be constructed.

In the above embodiment, the control target values T, H and V for room temperature, humidity and wind speed are set by the physical parameter setting section (52). However, the present invention is limited to this embodiment. It is not something to be done. Most air conditioners have only room temperature detection means.
Only the room temperature may be controlled to the target value. In this case, the humidity, the wind speed, and the like are further controlled by a dehumidifier, a humidifier, and an indoor fan so that the PMV index Y converges on a control target range (for example, -0.5 <Y <+0.5). Can be.

However, the present invention can be applied to a device not provided with a humidifier, a dehumidifier or the like. From the comfort equation, P
Even when calculating the MV index, it is only necessary to assume an average value for a physical parameter having no sensor function or setting function.

It should be noted that the present invention is not necessarily limited to control based on kansei information using voice, but may be control based on other types of kansei information.

Also, although the feeling of comfort is not good, the PMV index Y
May be provided with a knob for adjusting the moisture permeability coefficient m when is within the control target range.

[0075]

According to the first to seventh aspects of the present invention, in an air-conditioning control system in which air-conditioning control is performed based on a PMV index, a moisture permeability coefficient having a large individual difference in a formula for calculating a PMV index can be adjusted. As a result, it is possible to provide an air conditioning control system having high objectivity and individual adaptability.

In particular, according to the second and subsequent claims, the personal adaptation is performed based on the sensibility information on the thermal sensation contained in the words spoken by the user, so that a user-friendly air conditioning system is realized. Can be.

[Brief description of the drawings]

FIG. 1 is a block diagram schematically showing a configuration of the present invention.

FIG. 2 is a block diagram schematically showing a configuration of an air conditioning control system according to the embodiment of the present invention.

FIG. 3 is a graph showing P by adjusting a moisture permeability coefficient according to the embodiment of the present invention;
It is a figure showing a change state of MV index.

FIG. 4 is a diagram showing a relationship between a factor relating to a person's thermal sensation and a loading amount of the factor in the embodiment of the present invention.

[Explanation of symbols]

51 Kansei information conversion unit (Kansei information conversion unit) 52 Physical parameter setting unit (Moisture permeability adjustment unit, P
MV index calculation means, control target setting means) 53 air conditioner control unit (air conditioner control means) 54 air conditioner 61 physical information detection unit (physical information detection means) 62 kansei information detection unit (kansei information detection means)

Claims (7)

[Claims] 1. A physical information detecting means (61) for detecting a physical parameter related to a thermal sensation of a human body in an air-conditioned space controlled by an air conditioner (54), and an output of said physical information detecting means (61). Based on a comfort equation that describes the balance of the amount of heat entering and exiting the human body, a PMV index Y representing the comfort of the human body is expressed by the following equation: L = (M / ADu) ・ (1-η) -575mｍ43-
0.061 (M / ADu) (1-η) -Pa｝ (M is the metabolic rate, η is the efficiency of external work, Pa is the water vapor pressure of the environment, ADu is the surface area of the human body, and m is the moisture permeability coefficient of the skin. ), The control target setting means (52b) for setting the control target range of the PMV index, and the PV calculated by the PMV index calculation means (52a).
Air conditioner control means (5) for controlling the operation state of the air conditioner so that the MV index is within the control target range of the PMV index.
3); and a moisture permeability coefficient adjusting means (52c) for adjusting the moisture permeability coefficient m of the skin in the above formula used when the PMV index calculating means (52a) calculates the PMV index. Air conditioning control system. 2. The air conditioning control system according to claim 1, wherein the emotion information detecting means (62) detects emotion information relating to a thermal sensation among words of a user of the air conditioner, and the emotion information detecting means (62). And a feeling information converting means (51) for obtaining a load of a factor including at least a feeling of comfort that determines the feeling of warmth of the user based on the feeling information detected in (1). The moisture permeability coefficient adjusting means (52c) further comprises: According to the load of the factor converted by the sensitivity information conversion means (51), the PMV
The air conditioning control system according to claim 1, wherein the moisture permeability coefficient m is corrected so that the comfort load becomes equal to or more than a threshold value when the index is within the control target range. 3. The air conditioning control system according to claim 2, wherein the factors include a feeling of comfort, a feeling of warm and cool, a feeling of dry and wet, and a feeling of wind speed. 4. The air-conditioning control system according to claim 3, wherein the load amounts of the comfort sensation, the thermal sensation, the dry and humid sensation, and the wind sensation are α1, α2, α3, α4, respectively. 52c) is the PMV index Y
Is within the control target range, and the sensitivity information converting means (5)
An air conditioning control system characterized in that when the load amount α1 of the feeling of comfort determined by 1) is lower than the threshold value q, the moisture permeability coefficient m is changed based on the following equation: m = m + k1 (q-α1) · α2. 5. The air-conditioning control system according to claim 3, wherein the loads of the feeling of comfort, the feeling of warmth and cold, the feeling of dryness and the feeling of wind are α1, α2, α3, and α4, respectively. 52c) is the PMV index Y
Is outside the control target range, and the sensitivity information converting means (5
An air-conditioning control system characterized in that when the load amount α1 of the feeling of comfort determined by 1) is equal to or larger than the threshold value q, the moisture permeability coefficient m is changed based on the following equation: m = m−k2 · Y. 6. The air conditioning control system according to claim 2, wherein the physical information detecting means has a function of detecting at least a physical parameter including an air temperature of the air-conditioned space. The control target setting means (52b) also has a function of setting a control target value of a physical parameter including at least the air temperature, and the air conditioner control means (53) includes at least the air temperature. An air-conditioning control system having a function of controlling an air conditioner (54) so that a physical parameter becomes a control target value. 7. The air conditioning control system according to claim 6, wherein the control target setting means (52b) is configured to control the PMV index Y
Is outside the control target range, and the sensitivity information converting means (5
An air-conditioning control system having a function of changing at least a control target value of a physical parameter including the air temperature when a load of a feeling of comfort determined by 1) is lower than a threshold value q.