JPH09269145A - Control device of air conditioner - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily provide a comfortable environment suitable for the taste of an individual by converting the favorite environment of a user selected among the environments stored in a claim establishing and operating means into the control signal of an air conditioner. SOLUTION: An individual comfortableness index value operating circuit 5 selects and stores the environment (the comfortableness index value) favorite for a user among the environmental data stored in an establishment storage circuit of a claim establishing and operating circuit 4, and an inner circuit contains an individual comfortableness index value storage circuit to store the comfortableness index value of an individual to be calculated by an individual comfortableness index value calculating circuit. A control signal generating circuit 6 to convert the selected environment into the control signal of an air conditioner 7 generates the corresponding control signal to the individual comfortableness index value which is obtained by the individual comfortableness index value operating circuit 5 and stored in the individual comfort index value storage circuit as the environment required by the user now, and the control signal is fed to the air conditioner 7 to control the air conditioner 7.

Description

Detailed Description of the Invention

[0001]

TECHNICAL FIELD The present invention relates to the temperature of an air conditioner,
The present invention relates to an air conditioner control device for providing an indoor environment required by a user by controlling an air volume and a wind direction.

[0002]

2. Description of the Related Art A conventional air conditioner control device of this type is known, for example, from Japanese Patent Application Laid-Open No. 5-44972. FIG. 13 is a diagram showing such a conventional example. In this conventional control device, when a sensor signal is output from the sensor 121, the contents of the outdoor temperature, the suction temperature of the indoor unit, the humidity, etc. are the operation content estimation means. 125 and the storage means 122. The storage unit 122 stores the history of the input sensor signal for the past N seconds and outputs the stored previous state of the sensor.

From the operating means 123, signal values such as temperature, air volume and air direction set by the user are output. Further, an operation signal indicating that the setting or the like has been changed by the operation means 123 is output to the time detection means 124. When this signal is input to the time detection means 124, the time detection means 124 calculates the time from the setting change in the operation means 123 to the present, and the operation content estimation means 125.
Output to

At this time, the operation content inferring means 125, which has received signals from the respective parts such as the sensor 121, infers the operation content of the operating means 123 using a neural network and outputs the result to the learning means 126. As a result, the weighted signal is input to the control signal generation unit 127 to control the air conditioner 128.

The signals from the above-mentioned respective parts 121, 122, 123 and 124 are also inputted to the learning means 126. The learning means 126 is the input value of each means and the actual operation means 123.
The operation content estimation means 125 using the operation in
Learns whether or not the estimated value output by is correct using a neural network. After such learning, the operation content estimation value is updated using the weight signal of the neural network, and is output to the control signal generating means 127 as the learned operation content estimation value.

As shown in FIG. 14, the operation content estimating means 125 comprises an input signal normalizing section 131, a reference section 132 storing a plurality of categories, a distance calculating section 133, and a category calculating section 134. As shown in FIG. 15, an input signal normalization unit 141, a reference unit 142 that stores a plurality of categories, a reference vector search unit 143, and a reference vector generation unit 14
4 and a reference vector learning unit 145.

[0007]

However, in the above-mentioned conventional apparatus, if the user's preference is learned from the input values of the sensor group and all the operation contents set by the user, indoor temperature, outdoor temperature, wind speed, radiation, and Since learning cannot be performed unless there are many combined data with input values such as humidity, the number of categories increases, and a huge storage device, calculation processing device, and calculation time are required. In addition, since the combination of sensor input values and the operation pattern of the user are linked, the learning effect does not appear unless the number of inputs by the user is quite large, and in reality there is no difference from the conventional air conditioners. I have a problem.

[0008]

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems of the prior art.
A control device for an air conditioner of the invention according to claim 1, a sensor for measuring various indoor and outdoor environmental conditions, a comfort index value calculation circuit for calculating a comfort index value from the environmental conditions measured by the sensor,
The user has a key that accepts complaints when the user is dissatisfied with the current environment and outputs a complaint signal when there is a key input, and the user inputs a complaint from the above-mentioned complaint signal and the above comfort index value. Computation probability calculation circuit for calculating the probability of failure, and personal comfort index value that is the environment in which the user is least likely to be dissatisfied from the data relating to the probability of complaint and the data concerning the environmental condition obtained from the calculation circuit for complaint probability The control signal is provided with an index value calculation circuit and a control signal generation circuit that calculates a target value for the air conditioner from the individual comfort index value obtained from the individual comfort index value calculation circuit and generates a control signal. The air conditioner is controlled by a control signal output from the generation circuit.

According to this structure, the comfort index value obtained from the comfort index value calculation circuit and the complaint signal from the input means based on the data about the environmental conditions such as the temperature and humidity around the air conditioner detected by the sensor. The complaint probability calculation circuit calculates the probability that the user inputs a complaint, and calculates the personal comfort index value that is unlikely to cause user dissatisfaction based on the calculation result to drive and control the air conditioner. The optimal state can be obtained for. as a result,
Air conditioning operation that provides a comfortable environment that suits individual tastes can be performed automatically and easily.

In the control device for an air conditioner according to a second aspect of the present invention, the control signal generation circuit calculates the set temperature of the air conditioner from the personal comfort index value obtained from the personal comfort index value calculation circuit. It is characterized by that. With this configuration, the set temperature of the air conditioner is automatically determined. As a result, the air conditioner can be operated at a comfortable set temperature that suits individual tastes.

According to a third aspect of the present invention, there is provided a control device for an air conditioner, wherein the sensor is a distance detector for measuring a distance between a user and the air conditioner, a sensor for measuring a fan speed of the air conditioner, a distance and a fan. A wind speed calculation circuit for calculating the wind speed corresponding to the user from the rotation speed is provided, and the wind speed calculation circuit determines the wind speed from the distance measured by the distance detector and the fan rotation speed measured by the fan rotation speed measurement sensor. It is characterized in that the comfort index value calculation circuit is configured to output the comfort index value calculation circuit. With this configuration, it is possible to predict the wind speed that hits the user according to the distance between the user and the air conditioner, and automatically drive the blower fan of the air conditioner. Therefore, the wind speed can be set automatically, and the optimum wind speed for the user,
You can send the air volume.

In the control device for an air conditioner according to a fourth aspect of the present invention, the claim probability calculation circuit and the control signal generation circuit store various data corresponding to a plurality of users, and the claim probability is calculated by operating the input means. The control device for an air conditioner according to claim 1, characterized in that the arithmetic circuit and the control signal generation circuit are caused to execute an operation according to a user. With this configuration, the air conditioner can be driven and operated with the individual comfort index value according to the user. As a result, the optimum air-conditioning environment state can be obtained according to the individual taste of the user.

[0013]

DETAILED DESCRIPTION OF THE INVENTION An embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a block-like electric circuit diagram showing an outline of a control device for an air conditioner of the present invention. FIG.
In the figure, reference numeral 1 denotes an input means by which a user can key in an instruction for a complaint such as "hot" or "cold". When such an instruction is keyed in, a complaint data signal according to the instruction is output. ing. For example, it is composed of a remote controller or the like. Reference numeral 2 is a sensor including various sensors such as an outside air temperature sensor, an indoor temperature sensor, and an indoor humidity sensor.

Reference numeral 3 denotes a comfort index value calculation circuit which stores the signal output from the sensor 2 and calculates a current comfort index value from the signal. The comfort index value calculated by the circuit 3 is the above-mentioned various sensors. What can be quantified as the comfort index value from the output value of is used. In the present embodiment, as this comfort index value, PMV (Pr
ediced Mean Vote) is used.

This PMV is described in International Standard ISO-7730 of the International Organization for Standardization (ISO), and can be calculated from six factors: room temperature, humidity, radiation temperature, clothing amount and activity amount. Specifically, it is represented by a thermal sensation scale as shown in Table 1 below. Considering that the amount of activity required for calculation is indoors, the sitting or standing position should be a fixed value, and the clothing amount should be a fixed value for winter clothes for heating and summer clothes for cooling.
Alternatively, an activity amount sensor or a clothing amount sensor may be used for detection.

[0016]

[Table 1]

Reference numeral 4 is a complaint probability calculation circuit for calculating a complaint probability according to the data input from the input means 1 and the comfort index value calculation circuit 3 and storing the calculation result in the built-in storage means. The claim probability calculation circuit 4 includes a probability calculation circuit 41 and a probability storage circuit 42 as shown in FIG.

The probability calculation circuit 41 calculates the average comfort index and the claim probability for each divided range according to the complaint data signal output from the input means 1 and the comfort index value output from the comfort index value calculation circuit 3. For example, the index value −
In the case of equally dividing the range from 3 to +3 into 6 ranges, if the user inputs a complaint of "a little cool" by the input means 1 in the environment of the index value -0.5, the probability operation circuit 4
1 is the complaint data from the input means 1, and this data is data in which the index value is in the range of -1 to 0 (average index value)
Is calculated as

In this case, the initial value of the above-mentioned claim probability is PP, which is ISO standard together with the comfort index value (PMV).
D (Predicted Percentage of
Dissatisfied: prediction dissatisfaction rate) is used. This PPD shows the ratio (%) of people who feel thermally unsatisfactory, and it is shown in FIG.
There is a relationship as shown in. The formulas for calculating the average comfort index value (PMV) and the complaint probability are as follows.

Pr (i) = (Pr (i) × CL (i) +
1) / (CL (i) +1) PMV (i) = (PMV (i) × CL (i) + PMV)
/ (CL (i) +1) where Pr (i): claim probability of i lattice CL (i): number of complaints of i lattice PMV: comfort index value when a complaint is input PMV (i): of i lattice Average PMV value i: Lattice number When the above complaint data is input, the number of complaints in an environment considered to be worse than the environment in which the complaint is calculated by the user when calculating the complaint probability is also increased. For example, when a complaint "hot" is input at a certain PMV value, if there are two index value ranges that are considered to be hotter than the input environmental index value, the claim is increased by 1 in that range. , Calculate the probability of complaint occurrence.

Similarly, when a complaint "cold" is entered, the claim occurrence probability is calculated by increasing the number of complaints in the range of the indicator value considered to be colder than the indicator value of the environment in which the complaint is entered. Then, the complaint occurrence probability data of each range is calculated by the following formula and standardized.

K (i) = (Pr (i) -Prmin) /
(Prmax-Prmin) x (Smax-Smin)
+ Smin where K (i): standardized probability data of i lattice Pr (i): claim probability of i lattice Prmax: maximum probability data calculated Prmin: minimum probability data calculated Smax: standard Maximum probability (fixed value) when standardized Smin: Minimum probability (standardized value) when standardized The inside of the probability storage circuit 42 of the claim probability calculation circuit 4 is divided in advance into a plurality of storage locations according to the comfort index value. Can be decided. The contents to be stored are the average comfort index value, the number of complaints within that range, and the standardized probability of complaints. For example, when divided into 6 ranges of index values -3 to +3,
When the average comfort index value is data of -0.7, this data is stored in the range of -1 to 0 of the probability storage circuit 42.

Returning to FIG. 1, the circuit means following the claim probability calculating circuit 4 is an individual comfort index value calculating circuit 5,
Environment preferred by the user (comfort index value) from environment data stored in the probability storage circuit 42 of the claim probability calculation circuit 4
Is selected and stored. The internal circuit is shown in FIG. 4, and includes an individual comfort index value calculation circuit 51 and an individual comfort index value storage circuit 52 which stores the individual comfort index value calculated by the individual comfort index value calculation circuit 51. I'm out.

The former individual comfort index value calculation circuit 51 selects a comfort index value that minimizes the complaint probability according to the data stored in the probability storage circuit 42, and this comfort index value is a user's favorite environment. And The selection method is
Here, the comfort index value with the lowest complaint probability is simply selected from the data stored in the probability storage circuit 42.

At this time, when the same complaint probability exists for a plurality of comfort index values, when the user inputs a complaint of "hot", a smaller comfort index value is selected and the user selects "comfort index value". When a complaint of "cold" is entered, a value having a large comfort index value is selected. In this selection method, the lowest value may be determined by the method of least squares or a neural network. Then, the comfort index value thus obtained is used as the personal comfort index value storage circuit 5 in the next stage.
Store it in 2.

Next, the reference numeral 6 in FIG. 1 is a control signal generation circuit for converting into a control signal of the air conditioner 7, and the personal comfort index value calculation circuit 5 obtains the personal comfort index value storage circuit 52. Assuming that the user is currently seeking the personal comfort index value stored in, the control signal corresponding to this is generated and supplied to the air conditioner 7 to control the air conditioner. . The control method is such that the difference between the current comfort index value calculated based on information from various sensors and the target personal comfort index value stored in the personal comfort index value storage circuit 52 is within a certain range. To control.

| Current comfort index value-Target comfort index value (individual comfort index value) | <constant Since the embodiment of the present invention is configured as described above, the user is more "hot" than the input means 1. Or "cold"
In a state in which the complaint such as "No." is not input, the sensor 2 detects an environment such as a room temperature at a constant time interval according to a command from a system control circuit (not shown), and sends the detection result to the comfort index value calculation circuit 3. In response to this, the comfort index value calculation circuit 3 calculates the current index value and supplies it directly to the control signal generation circuit 6.

Based on this, the control signal generating circuit 6 reads out as a target comfort index value from the individual comfort index values stored in the personal comfort index value storage circuit 52 up to that point, generates a control signal, and outputs the control signal. The air conditioner 7 is supplied to the air conditioner 7 to control the air conditioner 7.

When the user inputs a complaint of "hot", for example, from the input means 1 while such control is being performed, the complaint is inputted to the complaint probability calculation circuit 4 from the input means 1 as complaint data. Supplied.
In response to this, the probability operation circuit 41 of the claim probability operation circuit 4 uses the comfort index value from the comfort index value operation circuit 3 and the claim data (“hot”) from the input means 1 which are input at that time to obtain the above “ The average comfort index value (PMV), the complaint probability Pr, and the like, which are associated with the "hot" division range, are calculated and stored in the corresponding range of the probability storage circuit 42.

Next, the personal comfort index value calculation circuit 5 selects the comfort index value that minimizes the complaint probability by the personal comfort index value calculation circuit 51 and stores the comfort index value in the comfort index value storage circuit 52. Then, this comfort index value is input to the control signal generation circuit 6 as the data of the environment most preferred by the user, converted into a control signal, and supplied to the air conditioner 7. As a result, the air conditioner 7 is driven according to the control signal so as to set the room to the environment that the user likes.

In the present invention configured as described above,
The control signal generation circuit 6 can calculate the target temperature (set temperature) for driving the air conditioner from the personal comfort index value calculated by the personal comfort index value calculation circuit 5, and the method will be described below ( (Corresponding to claim 2). In order to calculate the target temperature, the control signal generation circuit 6 uses a method of back-calculating the temperature which is the individual comfort index value.

For the elements of the comfort index value other than the temperature, the input value from the sensor and the fixed value used in the calculation of the individual comfort index value are used. Then, these values are successively substituted into the term of temperature within a certain range and repeatedly calculated until the calculated result becomes the individual comfort index value, and the temperature that becomes the individual comfort index value is set as the target temperature. Since the target temperature can be determined by such calculation, control is performed so that the difference between the current temperature and the target temperature falls within a certain range.

| Current room temperature-Target temperature | <constant If the above method is used, the room can be set to the temperature desired by the user more quickly. Next, in the present invention, an embodiment for detecting the distance between the user and the air conditioner to predict the wind speed of the wind hitting the user will be described (corresponding to claim 3).

In this embodiment, according to the present invention, as shown in FIG. 5, a distance detector 8 for detecting the distance between the user and the air conditioner 7 and a sensor for measuring the fan rotation speed of the air conditioner are used in FIG. 9 and the wind speed calculation circuit 10 for calculating the wind speed that actually hits the user from the distance and the fan speed. The distance detector 8 includes a camera 8 as shown in FIG.
1, an image processing circuit 82 that processes an image captured by the camera 81, and an image calculation circuit 83 that calculates a predicted value of the distance of the user from the processed image information.

In the distance detector 8 having the above configuration, the image processing circuit 82 extracts the user (moving object) from the image information of the camera 81 in order to determine the difference between two images taken at a certain moment in succession. It can be extracted by taking. If the absolute difference between the two images is calculated, the luminance difference becomes large in the moving part, while the luminance difference becomes “0” in the background without motion.
Becomes Therefore, only the moving body portion can be extracted by binarizing this difference image. An image calculation circuit 8 based on this image data
Human discrimination is performed before 3 derives a distance prediction value.

It is assumed that the human head has a substantially elliptical shape, and that it is located at the top of the body in a normal behavioral state, and its size is proportional to the size of the body. , Determine the human head. If the moving body is the head, the envelope line of the figure in the upper half of the head becomes an arc shape. For example, in the case of an arcuate shape as shown in FIG. 7, the tangent line intersection distance is short and the change in curvature is within a predetermined value. However, in the case of no arcuate shape, the tangential line intersection distance is long as shown in FIG. It is stable.

From this, it is possible to discriminate a human from the binary image of the moving body extracted by utilizing this curvature change. FIG. 9 shows a flowchart from the recognition of the moving body to the discrimination of the human head, that is, the human as described above.

Next, with the top of the head as the human position, the three-dimensional position of the human is detected. Figure 10: World coordinate system OXY
Z, the camera coordinate system O "X" Y "Z", and the lens coordinate system O'X'Y'Z 'are shown, and FIG. 11 shows the relationship between the size of the human head and the image of the head transferred to the imaging screen. There is. Now, the focal length f, the width Wo of the head, the width Wi of the head image on the imaging screen 811 of the camera 81, the distance Y ′ between the camera lens 812 and the human, and the coordinates of the human head camera (X, Y, Z), the following equation is obtained from the principle of perspective projection from FIG.

Y = Wo × f / Wi Moreover, the world coordinates of the position where the camera is standing are (Xc, Y
c, Zc), the screen coordinate of the crown is (Xh, Zh), and the vertical angle of the camera is φ, the following equation is obtained.

X "= Xh * y '/ fy" = y' / cos (φ)-(Zc-Z) * tan
(Φ) Z = Zh × y ′ × cos (φ) / fy ′ × Sin
(Φ) + Zh × cos (φ) From these equations, the positional relationship between the camera and the user can be grasped. Here, the camera's focal length f, camera tilt angle θ, and camera height h are set in the air conditioner, and if the human head lateral width Wo is used as an assumed value, the position of the user is The distance between the user and the air conditioner can be known.

In this way, when the distance between the person and the air conditioner 7 is measured, the fan rotation speed measurement sensor 9 for simultaneously measuring the fan rotation speed measures the fan rotation speed of the air conditioner, and the fan rotation speed is measured. And the distance are input to the wind speed calculation circuit 10. The wind speed calculation circuit 10 calculates the wind speed corresponding to the user from the distance and the fan rotation speed. In the present invention, the wind speed signal indicating the wind speed is supplied to the comfort index value calculation circuit 3, and the comfort index value calculation circuit 3 is used to calculate the comfort index value described above.

In the wind speed calculating circuit 10, if the signal indicating the position of the user and the fan rotation of the air conditioner are input as described above, the wind speed at the position of the user is calculated from the distance between the user and the air conditioner. You can decide.

For example, the distance between the user and the air conditioner is 2
When it is within m, the data relating to the wind speed is stored in advance in the memory circuit so that the relationship between the fan speed and the wind speed is as shown in Table 2 below.

[0044]

[Table 2]

If the distance is more than 2 m, the wind velocity hitting the user is 0.2 m / s. These set values can be determined by actual measurement. The fan rotation speed can be detected by the detection means of the fan motor.

FIG. 12 shows an example of the input means 1 described above. In the case shown in this figure, the "hot" or "cold"
Two complaint input keys 11 and 1 for inputting complaints
2 and 3 mode switching keys 13, 14 and 15
And registration and deletion keys 16 and 17.

As the mode switching key, for example, each key is assigned to each user (three people in this example), and the key 1
3 is operated, the personal data of the user A registered in this key is read out from the storage means in the claim probability calculation circuit 4 and the personal comfort index value calculation circuit 5, respectively, to calculate the claim probability and the comfort index value. A control signal corresponding to the user A used is supplied from the control signal generation circuit 6 to the air conditioner 7
It is supplied to.

Personal data can be freely registered by operating the switching key and the registration key, and can be erased freely by operating the switching key and the delete key.

[0049]

As described above, the control device for an air conditioner according to the invention of claim 1 calculates a comfort index value from a sensor for measuring various indoor and outdoor environmental conditions and the environmental condition measured by the sensor. A comfort index value calculation circuit, a key for accepting a complaint when the user is dissatisfied with the current environment, an input means for outputting a complaint signal when there is a key input, the complaint signal and the comfort The complaint probability calculation circuit that calculates the probability that the user inputs a complaint from the index value, and the environment that is most unlikely to cause user dissatisfaction based on the data about the claim probability and the data about the environmental condition obtained from the claim probability calculation circuit An individual comfort index value calculating circuit for calculating an individual comfort index value, and an air conditioner target set from the individual comfort index value obtained from the individual comfort index value calculating circuit It was calculated, and a control signal generating circuit for generating a control signal, a configuration which is adapted to control the air conditioner by the control signal outputted from the control signal generating circuit.

According to this structure, the comfort index value obtained from the comfort index value calculation circuit and the complaint signal from the input means based on the data concerning the environmental conditions such as temperature and humidity around the air conditioner detected by the sensor are used. Since the claim probability calculation circuit calculates the probability of the user inputting a claim, and calculates the personal comfort index value from which the user's dissatisfaction is unlikely to occur, the air conditioner is drive-controlled.
It is possible to obtain the optimum environmental condition for the user.

As a result, it is possible to automatically and easily perform the air-conditioning operation that provides a comfortable environment that suits individual tastes.

In the control device for an air conditioner according to a second aspect of the present invention, the control signal generation circuit calculates the set temperature of the air conditioner from the personal comfort index value obtained from the personal comfort index value calculation circuit. Is. With this configuration, the set temperature of the air conditioner is automatically determined. as a result,
It is possible to operate the air conditioner at a comfortable set temperature that suits individual tastes.

According to a third aspect of the present invention, there is provided a control device for an air conditioner, wherein the sensor is provided with a distance detector for measuring a distance between the user and the air conditioner, a sensor for measuring a fan rotation speed, and a wind speed calculating circuit. The wind speed calculation circuit determines the wind speed according to the distance measured by the distance detector and the fan rotation speed, and outputs the wind speed to the comfort index value calculation circuit.
With this configuration, it is possible to predict the wind speed that hits the user according to the distance between the user and the air conditioner, and automatically drive the blower fan of the air conditioner. Therefore, the wind speed can be automatically set, and the wind with the optimum wind speed and volume can be sent to the user.

In the control device for an air conditioner according to a fourth aspect of the present invention, various data corresponding to a plurality of users are written in the claim probability calculation circuit and the control signal generation circuit, and the claim probability is calculated by operating the input means. This is a configuration in which the arithmetic circuit and the control signal generation circuit are caused to perform operations according to the user. With this configuration, the air conditioner can be driven and operated with the individual comfort index value according to the user.
As a result, the optimum air-conditioning environment state can be obtained according to the individual taste of the user.

[Brief description of drawings]

FIG. 1 is a block electric circuit diagram showing a configuration of a control device for an air conditioner according to the present invention.

FIG. 2 is a block electric circuit diagram showing a claim probability calculation circuit in the control device for an air conditioner according to the present invention.

FIG. 3 is a diagram showing a relationship between PMV (comfort index value) and PPD (predictive dissatisfaction rate).

FIG. 4 is a block-like electric circuit diagram showing an individual comfort index value calculation circuit in the control device for an air conditioner according to the present invention.

FIG. 5 is a block-like electric circuit diagram showing the configuration of another embodiment of the control device for an air-conditioning apparatus according to the present invention.

FIG. 6 is a block electric circuit diagram showing a configuration of a distance detector provided in another embodiment of the present invention.

FIG. 7 is a diagram provided for explaining the operation of the distance detector.

FIG. 8 is a diagram provided for explaining the operation of the distance detector.

FIG. 9 is a flowchart provided for explaining the operation of the distance detector according to another embodiment of the present invention.

FIG. 10 is a conceptual diagram of a coordinate system used for explaining the operation of the distance detector.

FIG. 11 is a diagram showing a relationship between a real image and imaging used for explaining the operation of the distance detector.

FIG. 12 is a diagram showing an example of input means in the control device for an air conditioner according to the present invention.

FIG. 13 is a block-like electric circuit diagram of a conventional air conditioner control device.

FIG. 14 is a block-like electric circuit diagram showing an operation content estimating means of the conventional apparatus.

FIG. 15 is a block-like electric circuit diagram showing a learning means of the conventional device.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Input means 2 Sensor 3 Comfort index value calculation circuit 4 Claim probability calculation circuit 5 Personal comfort index value calculation circuit 6 Control signal generation circuit 7 Air conditioner 8 Distance detector 9 Fan rotation speed measurement sensor 10 Wind speed calculation circuit

Claims (4)

[Claims] 1. A sensor for measuring various indoor and outdoor environmental conditions, a comfort index value calculation circuit for calculating a comfort index value from the environmental conditions measured by the sensor, and a user feeling dissatisfied with the current environment. An input means that has a key for accepting a complaint when the user inputs a complaint, and outputs a complaint signal when there is a key input; and a complaint probability calculation circuit that calculates the probability that the user will enter the complaint from the complaint signal and the comfort index value. An individual comfort index value calculation circuit for calculating an individual comfort index value for an environment in which the user is most unlikely to be dissatisfied from data on the claim probability and data on the environmental condition obtained from the claim probability calculation circuit, and the individual comfort index A control signal generation circuit that calculates a target value that the air conditioner sets as a target from the individual comfort index value obtained from the value calculation circuit and that generates a control signal, An air conditioner control device, wherein the air conditioner is controlled by a control signal output from the control signal generation circuit. 2. The control signal generating circuit calculates the set temperature of the air conditioner from the personal comfort index value obtained from the personal comfort index value calculation circuit. Control device for air conditioner. 3. A distance detector for measuring the distance between the user and the air conditioner, a sensor for measuring the fan rotation speed of the air conditioner, and a wind speed calculation for calculating the wind speed corresponding to the user from the distance and the fan rotation speed. A circuit is provided, and the wind speed calculation circuit determines the wind speed according to the distance measured by the distance detector and the fan rotation speed, and outputs the wind speed to the comfort index value calculation circuit. Alternatively, the control device for an air conditioner according to claim 2. 4. The claim probability calculation circuit and the control signal generation circuit store various data corresponding to a plurality of users, and the claim probability calculation circuit and the control signal generation circuit respond to the users by operating an input means. The control device for an air conditioner according to claim 1, wherein the control device executes the above-mentioned operation.