JP2011137612A - Device for calculating solar radiation and air conditioning control system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To determine a more accurate comfortability index PMV, by accurately estimating an amount of solar radiation necessary for determining a radiation temperature that is one of the elements of comfortability index PMV for controlling a proper air conditioning. <P>SOLUTION: An image capture unit 11 is used for capturing an image of a cloud above a building where an air conditioning system is provided. The captured image of the cloud is compared with an image of a cloud captured at the same position in the past and recorded in a cloud parameter DB12, or with a reference image for specifying a type of a cloud. Then, a cloud cover above the building or the type of the cloud is estimated. Based on the estimated information, the solar radiation is determined; the radiation temperature is measured; the comfortability index PMV is calculated; and the information thereof is utilized for the air conditioning control. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

The present invention relates to a solar radiation amount calculating device and an air conditioning control system for controlling air conditioning of office buildings, department stores, residential buildings, and the like.

Recently, environmental load reduction is required, and energy saving is also required in the field of facility solutions. According to statistics, about 50% of the energy consumed in buildings such as office buildings, department stores, and residential buildings that are the target of this facility solution is energy used in the air conditioning equipment of the air conditioning control system. Therefore, energy saving of energy consumption in buildings by air conditioning equipment is an important point for global warming countermeasures.

Therefore, an air conditioning control system using a comfort index PMV (Predicted Mean Vote) value has been devised. The comfort index PMV is an internationally planned index as ISO-7730. Physical elements such as (1) temperature, (2) humidity, (3) radiation temperature, (4) air velocity, and (5) clothing This is an index for evaluating what kind of composite effect the six human factors indicating the amount and (6) activity amount (metabolism) have on the indoor environment.

By using the calculated comfort index PMV, it becomes possible to construct an air conditioning control system that prevents excessive cooling and heating and saves energy.

Conventionally, when calculating the comfort index PMV, among the six parameters, (1) temperature and (2
) Humidity is measured by each commonly used dedicated measuring instrument. (3) The radiation temperature is calculated from the amount of solar radiation measured by the solar radiation meter. In addition, (4) the airflow velocity takes a substantially constant value depending on the air conditioning control target. For (5) clothing amount and (6) activity amount, past data and daily input values are used.

Incidentally, the amount of solar radiation used for calculating the radiation temperature can also be calculated and estimated from cloud parameters such as the amount of clouds over the air-conditioned control target. For this reason, instead of an expensive solar radiation meter, an air conditioning control system that estimates the outdoor solar radiation amount from weather parameters such as temperature and humidity of the outside air and weather forecast and uses it for air conditioning control has been invented (for example, Patent Document 1). reference).

JP 2008-57831 A

Among the six elements for calculating the comfort index PMV, the five elements excluding the calculation of the radiation temperature are:
It is possible to measure and set with some accuracy. Therefore, the accuracy of the comfort index PMV is an important factor for accurately calculating the radiation temperature.

However, when the amount of solar radiation is measured with a solar radiation meter in order to calculate the radiation temperature, the solar radiation meter can be measured only at one point of the installation position. In addition, it is difficult to estimate the amount of clouds with only the temperature and humidity of the outside air, and the weather forecast or the like often differs from the weather of an actual building or the like. For these reasons, the measurement result of the solar radiation meter may be significantly different from the solar radiation amount for an actual building or the like.

In this case, the calculation of the radiation temperature is different from the actual value, and the comfort index PMV cannot be calculated accurately. Therefore, appropriate air conditioning control in consideration of comfort and energy saving cannot be performed. For this reason, further improvement in accuracy is required for calculating the radiation temperature from the external weather parameters of the air conditioning control system.

In view of the above circumstances, an object of the present invention is to provide a solar radiation amount calculation device that accurately creates cloud parameters from an image over the air-conditioning control target and calculates the solar radiation amount accordingly.

In addition, a more accurate comfort index PMV can be calculated by calculating a more accurate radiation temperature from the calculated amount of solar radiation.
An object of the present invention is to provide an air conditioning control system that realizes more comfortable air conditioning and energy saving.

In order to achieve the above object, the solar radiation amount calculating device of the present invention is:
An image capturing means for capturing a cloud image above the building where the air conditioning control system is installed;
Cloud parameter storage means for storing past reference cloud images over the building;
Cloud parameter generation means for generating a cloud parameter by comparing the captured cloud image and the reference cloud image stored in the cloud parameter storage means;
A solar radiation amount calculating means for calculating a solar radiation amount from the cloud parameter generated by the cloud parameter generator;
It is characterized by having

According to the present invention, it is possible to improve the calculation accuracy of the amount of solar radiation and calculate a more accurate radiation temperature. By calculating a more accurate radiation temperature, a more accurate comfort index PMV can be calculated. By calculating the more accurate comfort index PMV, a more appropriate air conditioning control parameter can be set. As a result, it is possible to provide an air conditioning control system that can realize comfortable air conditioning.

The figure which shows the air-conditioning control system structure which concerns on embodiment of this invention. The figure which shows the internal structure of the cloud parameter production | generation part 10 in the air-conditioning control system which concerns on embodiment of this invention. The figure which shows the example of arrangement | positioning which concerns on the multiple units of the image imaging | photography part 11 which concerns on embodiment of this invention. The flowchart for demonstrating operation | movement of the air-conditioning control system which concerns on embodiment of this invention.

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

  FIG. 1 is a block diagram showing a configuration of an air conditioning control system according to an embodiment of the present invention.

FIG. 2 is a block diagram showing a configuration of the cloud parameter generation unit 10 in the air conditioning control system according to the embodiment of the present invention.

As shown in FIG. 1, the air conditioning control system of the present embodiment includes a cloud parameter generation unit 10, an image capturing unit 11, a cloud parameter DB (cloud parameter database) 12, a solar radiation amount calculation unit 20,
Solar radiation parameter DB (solar radiation parameter database) 21, radiation temperature calculation unit 30, building parameter DB (building parameter database) 31, PMV calculation unit 40, temperature and humidity measurement unit 41, input unit 42, air flow parameter DB (air flow parameter database) ) 43, the air conditioning control parameter calculation unit 50.

The image photographing unit 11 sends an image of a cloud over the building where the air conditioning control system photographed by the camera is installed to the cloud parameter generating unit 10. The shooting interval may be taken continuously at a high speed as in video shooting, or may be set according to demand, such as every hour as an image. As a form of transmission, the photographed image may be directly transmitted as analog data via a network line. Further, it may be transmitted as digital data through conversion by MPEG2 or the like.

The cloud parameter DB (cloud parameter database) 12 stores reference cloud parameters used by the image generation unit 10 to determine the cloud amount and the cloud type. The reference cloud parameter is not limited to the past cloud image above the air-conditioning control target in the past, data such as the past cloud amount, and the cloud image above the building, and may be various typical cloud images. Furthermore, instead of the cloud image itself, a luminance distribution or edge amount extracted from the image may be used. For example, it refers to an image for identifying cloud parameters of the same period of the past one year ago and two years ago, and cloud types such as stratus clouds, cumulus clouds, cumulonimbus clouds, and the like. In addition, a cloud parameter of a cloud image visually recognized by a human may be considered.

Further, only information used for cloud parameter calculation may be stored. For example, the brightness distribution and edge amount of the captured image.

In addition, as a medium of cloud parameter DB12, each storage media, such as a semiconductor memory and a magnetic disk, can be utilized.

As shown in FIG. 2, the cloud parameter generation unit 10 includes a cloud image generation unit 111, a cloud image analysis unit 1.
12 is comprised. The cloud parameter generation unit 10 receives an image of the cloud over the building captured by the image capturing unit 11, creates a cloud parameter, and sends it to the solar radiation amount calculation unit 20. Details of the cloud image generation unit 111 and the cloud image analysis unit 112 will be described later.

The solar radiation amount DB (solar radiation amount database) 21 stores a reference solar radiation amount parameter used by the solar radiation amount calculation unit 20 to calculate the solar radiation amount. The reference solar radiation amount parameter is a parameter necessary for calculation of the solar radiation amount parameter such as the past solar radiation amount parameter of the building or the latitude and longitude of the building. For example, it is a parameter necessary for determining whether or not the sun is hidden in the cloud from the amount of solar radiation depending on the solar radiation angle at the same time in the past, the position of the sun at the calculation time, the amount of cloud, the type of cloud, and the like. Further, it may be a parameter such as transmittance of solar radiation when the weather is rain or snow.

The building parameter DB (building parameter database) 31 stores building parameters necessary for the solar radiation amount calculation unit 20 and the radiation temperature calculation unit 30 to calculate the solar radiation amount and the radiation temperature. For example, the latitude, longitude, outer wall direction, area, etc. of the building are stored.

The solar radiation amount calculation unit 20 calculates the solar radiation amount above the building from the current or future cloud parameters generated by the cloud parameter generation unit 10. At this time, a solar radiation amount DB (a solar radiation amount database) 21
By using the reference solar radiation amount from for the solar radiation amount calculation, the accuracy can be further increased. For example, a parameter depending on the reference solar radiation amount is set in a part of the solar radiation amount calculation formula. By determining the amount of solar radiation more accurately, a more accurate amount of radiation can be used for calculation.

The radiation temperature calculation unit 30 stores the amount of solar radiation obtained by the solar radiation amount calculation unit 20, the outside air temperature humidity and the internal temperature humidity obtained by the temperature / humidity measurement unit 41, which will be described later, and a building parameter DB (building parameter database) 31. Capture stored building parameters. The radiation temperature calculation unit 30 calculates the radiation temperature of the building using a pre-set calculation formula for these captured data, and sends the calculation result to the PMV calculation unit 40.

The temperature / humidity measuring unit 41 measures the temperature and humidity outside and inside the building. The measured temperature and humidity parameters are sent to the PMV calculation unit 40.

The input unit 42 is an external interface, and can input a clothing amount and an activity amount, and sends these pieces of information to the PMV calculation unit 40. Specifically, for example, the amount of clothes and the amount of activity can be input from a keyboard or numeric keypad.

The airflow parameter DB (airflow parameter database) 43 mainly stores the airflow velocity inside the building. For example, the airflow speed is a predetermined value. Moreover, you may derive using the apparatus which can measure or calculate an airflow velocity.

The PMV calculation unit 40 includes the radiation temperature obtained by the radiation temperature calculation unit 30, the indoor / outdoor temperature and indoor / outdoor humidity obtained by the temperature / humidity measurement unit 41 provided indoors and outdoors, and the amount of clothes input from the input unit 42. Then, the airflow parameters stored in the activity amount and airflow parameter database 43 are taken in, the comfort index value PMV is calculated using a preset calculation formula, and is sent to the air conditioning control parameter calculation unit 50.

The air conditioning control parameter calculation unit 50 takes in the comfort index value PMV obtained by the PMV calculation unit 40, calculates a set temperature using a preset calculation formula, and air conditioners according to the set temperature To adjust the room temperature. At this time, the PMV value calculated from the radiation temperature calculated based on the current solar radiation amount may be used, or the PMV value calculated from the radiation temperature calculated based on the future solar radiation amount is used. May be.

  Next, creation of cloud parameters from the cloud image photographed by the image photographing unit 11 will be described in detail.

The cloud image generation unit 111 creates cloud image data from the image above the building captured by the image capturing unit 11 so that the cloud image analysis unit 112 can use it. The cloud image data at this time is displayed on, for example, a computer monitor, and one pixel has a luminance of 0 to 255 “red R, green G
, Blue B "is composed of about 16.77 million colors.

Since it is not necessary to use all these combinations, they are used in a limited manner. For example, 16
If the numbers from 00 to FF expressing these colors in decimal are equally divided by 33H, six numerical values of 00, 33, 66, 99, CC, and FF are obtained. When black is represented, red R is “00”, green G is “00”, and blue B is “00”. Conversely, when representing pure white, red R is “FF”, green G is “FF”, and blue B is “FF”. The dark gray color is represented by red R as “33”, green G as “33”, and blue B as “33”. In light gray, red R is “CC”, green G is “CC”, and blue B is “CC”. Thus, since three colors are combined using six numerical values for each color, a combination chart of three primary colors of 6 × 6 × 6 = 216 colors is created and used.

The cloud image analysis unit 112 can represent each pixel as hexadecimal image data by comparing the color of these combination charts with each pixel of the cloud image. The ratio of clouds can be calculated by dividing the number of pixels that can be identified as clouds from the image data by the total number of pixels in the captured image.

That is, (cloud cover) = (cloud pixel count) / (total sky pixel count)
Can be calculated as

At this time, the red R is “CC”, the green G is “CC”, and the blue B is “CC”.
For example, if the three ratios are nearly equal, it may be possible to set a condition for determining that it is a cloud. This is because, as exemplified above, when the ratios of red R, green G, and blue B are equal, shades from black to white are represented.

In addition, it is not restricted to hexadecimal notation, so-called N-ary notation such as binary notation can be used,
There is no need to limit the use of 216 colors.

  In this way, the ratio of clouds over the building can be calculated.

The calculated cloud ratio may be used as the numerical value as it is for calculating the amount of solar radiation, but for example, it may be replaced with a report formula and displayed. Report type is the international weather report type (SYNO
P). Internationally, it is formed by a unit called octa. As shown below, the international weather report formula used for weather reports is 0-8 for cloud cover and 9 for cloud cover unknown.
Expressed with numbers up to.

Notification formula: Explanation 0/8: cloudless
1/8: sunny
2/8: Scattered clouds
3/8: lightly cloudy
4/8: partly cloudy
5/8: moderate cloudy
6/8: Mostly cloudy
7/8: almost all the sky is cloudy (nearly overcast)
8/8: The whole sky is cloudy (ocercast)
9/8: Cloud state is unknown (sky obscured)
Furthermore, the type of cloud can be determined by finely setting and analyzing the conditions of “red R, green G, blue B”. Since the amount of water in the cloud varies depending on the type of cloud, the amount of solar radiation from the sun varies. Therefore, it is possible to calculate a more accurate amount of solar radiation by specifying the type of cloud and taking the moisture content into consideration.

For example, clouds occupy 100% of the sky in the captured image, red R is “1F”, and green G is “1F”.
It can be considered that if the ratio of the pixels where blue B is “1F” is large, the cloud image is dark gray and is estimated to be a cumulonimbus cloud.

It is also conceivable to create image data using “hue H, saturation S, brightness V” instead of “red R, green G, blue B”. Hue H (Hue) is represented by a value of 0 to 360 °, red is 0 ° (360 °), yellow is 60 °, green is 120 °, light blue is 180 °, and blue is 240.
°, purple is expressed as 300 °. Saturation S (Saturation) is represented by a value from 0 to 1, and S =
When it is 0, it is achromatic, that is, the lightest, and as it approaches 1, the saturation becomes higher, that is, darker, and S =
1 is the maximum saturation. The lightness V is indicated by a value of 0 to 1, with V = 0 being black, that is, darkest, and becoming brighter as it approaches 1, and V = 1 representing white, that is, the brightest state.

Of the “hue H, saturation S, and lightness V”, the saturation S is particularly used for estimating the cloud amount.
This is because it is possible to use that the saturation S of the cloud is smaller than the saturation S of the sky light. Further, by using the hue H and brightness V depending on the color and thickness of the cloud, the type of cloud can be determined.

Specifically, as in “red R, green G, blue B”, the saturation S is determined for each pixel of the captured cloud image, and the saturation S is equal to or greater than a certain value, for example, S = 0.5 to S If = 1.0, it is determined that the pixel is a cloud. In this way, the amount of clouds over the building can be calculated by dividing the number of pixels determined to be a cloud by the number of pixels in the entire image.

Further, by using the hue H and the brightness V, it can be used for discrimination of the type of cloud. For example, if the brightness V is equal to or higher than V and V = 0.8 to 1.0, a usage method such as cumulonimbus is conceivable.

In calculating the cloud amount, not only the above-described calculation method using the luminance value and the color value but also the luminance, color distribution, edge amount, texture, and the like may be used.

Further, by comparing these images with the reference cloud image stored in the cloud image DB (cloud parameter database) 12, the accuracy can be further improved. For example, since the position of the building on the earth (latitude, longitude, height from the ground surface, etc.) does not change, the time series is traced back and compared with past cloud images over the same building. Compare cloud images more accurately as a judgment material when it is difficult to judge the midpoint of judgment conditions by comparing the images taken with the images taken one year ago and two years ago and the analysis results. Can do.

Here, it is also conceivable to calculate the cloud parameters over the building after several hours based on the classified cloud parameters. For example, the flow of the cloud is predicted from the flow of wind over the building from the weather information and past data (air volume, wind direction, weather forecast, transition of cloud image). In this way, it is possible to predict and create cloud parameters not only for the current time but also for several hours later (near future). The cloud parameter of the situation after several hours can be used for the calculation of the radiation temperature after several hours from now, and the air conditioning control parameter in consideration of the situation after several hours can be calculated. Specifically, if it is predicted that the amount of solar radiation will decrease as a situation after several hours in summer, the cooling function is weakened. Moreover, if it is predicted that the amount of solar radiation will increase in the situation after several hours in winter, the heating function is weakened. By utilizing in this way, appropriate air-conditioning control can be performed and energy saving can be achieved. As a result, global warming countermeasures can be achieved.

As described above, the cloud parameter generation unit 10 that has generated the cloud parameters after the current or several hours later classifies the cloud parameters over the building, that is, the cloud amount over the building and the cloud type, and calculates the solar radiation amount calculation unit 20. To send.

  FIG. 3 is a diagram illustrating an arrangement example of the image capturing unit 11 according to the embodiment of the present invention.

The image photographing unit 11 includes a plurality of image photographing devices 11a, 11b, 11c, 11d. The image capturing devices 11a, 11b, 11c, 11d,... Are devices such as one or a plurality of cameras that capture clouds over a building. The image capturing devices 11a, 11b, 11c, 11d... Are visible cameras or multiband cameras. Further, it may be a digital video camera that continuously shoots video.

When the image capturing devices 11a, 11b, 11c, 11d... Are installed at a plurality of locations,
These images can be connected on the data in the cloud image generation unit 10 and used for cloud parameter discrimination. For example, as shown in FIG. 3, a wider sky image can be obtained by installing the images at positions separated from each other in four directions on the wall of a building and joining the captured images. A wider sky image can be used for more accurate analysis of the amount of clouds over the air-conditioning control target. Moreover, it is not necessary to install in the same air-conditioning control object, and you may install in the position further distant, such as an adjacent building.

  Next, the operation of the embodiment will be described with reference to FIG.

FIG. 4 is a flowchart for explaining the operation of the air conditioning control system according to the embodiment of the present invention.

(Step 301) First, the image capturing unit 11 captures a cloud image over the building. Shooting
For example, it is performed at regular intervals set by the cloud parameter generation unit 10. The fixed period may be set by installing a system control unit having a function of controlling all components and controlling them in synchronization, and giving an instruction such as a shooting interval. The captured cloud image is sent to the cloud parameter generation unit 10. At the time of transmission, the captured image may be transmitted as a signal encoded by an encoder or the like via a network. Further, as an alternative means for connecting the image capturing unit 11 and the cloud parameter 10 via a network, they may be connected and transmitted by various methods such as wired or wireless.

(Step 302) The cloud image generation unit 111 of the cloud parameter generation unit 10
The cloud image sent from is received, decoded, and converted into data. What is data conversion?
An image is converted into data that can be displayed on a computer such as various personal computers.

In addition, when it is the cloud image data image | photographed from the several image imaging | photography part 11a, 11b ... at the same time, these are connected and the cloud image data of the sky above a building of a wider range are produced. The cloud image converted into data is sent to the cloud image analysis unit 112. As a connection method between the cloud image generation unit 111 and the cloud image analysis unit 112, various methods such as a network, a wired method, and a wireless method are used.

(Step 303) The cloud image analysis unit 112 creates a cloud parameter by performing image analysis on the cloud image sent from the cloud image generation unit 111. Each pixel in the sent cloud image is decomposed into “red R, green G, blue B” components and “hue H, saturation S, brightness V” components, and the number of pixels identified as clouds is counted. Then, the cloud amount is estimated by calculating the ratio with the number of pixels of all the captured images. Also, from the decomposed components, the shade from black to white, saturation S,
From the value of brightness V, the type of cloud is estimated.

The reference cloud image data stored in the cloud parameter DB 12 may be compared. By comparing with the cloud image data, parameters such as the amount of clouds over the building and the type of clouds can be generated.

Further, since it is inefficient to determine the cloud amount from all pixels, some pixels may be extracted to estimate the cloud amount.

As an example of comparison method, when it is difficult to determine the cloud type from the cloud information that is likely to occur in the same period in the past, the decision is made to focus on the past information and use it as a criterion for determining the cloud type. Use methods and judgment formulas.

Specifically, when the brightness 0.6 to 0.8 is a turbulent cloud and 0.8 to 1.0 is a cumulonimbus cloud, it is assumed that the calculated parameter value is 0.8, which is a boundary. In this case, if the number of times it has been determined to be a laminated cloud from one year to several years ago, or from a few days ago to about a month ago, it is determined as a laminated cloud.

Thus, parameters such as the cloud amount and cloud type generated by the cloud image analysis unit 112 are sent to the solar radiation amount calculation unit 20.

(Step 304) The solar radiation amount calculation unit 20 includes parameters such as the received cloud amount and cloud type,
Calculate the amount of solar radiation using the season / sun position / direction stored in the solar radiation parameter DB21 and the building parameter DB31, the past solar radiation parameters of the same day, and the building parameters such as the latitude, longitude, outer wall direction, and area of the building. To do. The calculated amount of solar radiation is sent to the radiation temperature calculation unit 30.

(Step 305) The radiation temperature calculation unit 30 receives the received solar radiation amount and the building parameter DB.
The radiation temperature is calculated using the building parameters stored in 31 such as the latitude, longitude, outer wall direction, and area of the building. The calculated radiation temperature is sent to the PMV calculation unit 40.

(Step 306) The PMV calculation unit 40 receives the received radiation temperature and temperature / humidity measurement unit 4
The comfort index PMV is calculated from the temperature and humidity inside and outside the air-conditioning control target such as a building measured in 1, the amount of clothes set by the input unit 42, the amount of activity, and the airflow data set in the airflow parameter DB 43.
Is calculated.

(Step 307) The air-conditioning control parameter calculation unit 50 calculates an air-conditioning control parameter that minimizes energy consumption or CO ₂ cost within a comfortable PMV value range. The calculated air conditioning control parameter is sent to the air conditioner.

(Step 308) The air conditioner operates based on the calculated control parameter. The operation content may be air volume, set temperature, humidification, dehumidification, or the like.

  The above steps 301 to 308 are repeated.

As mentioned above, according to this embodiment explained in full detail, the solar radiation amount calculation precision is improved by using the cloud image image | photographed with the image photographing device, and more exact radiation temperature is calculated. It is possible to provide an air conditioning control system that calculates a more accurate comfort index PMV from an accurate radiation temperature and realizes more comfortable air conditioning and energy saving.

In the present invention, the above-described embodiment can be appropriately changed in design without departing from the gist of the invention, and the embodiments may be appropriately combined as necessary.

DESCRIPTION OF SYMBOLS 10 ... Cloud parameter production | generation part 11 ... Image pick-up part 11a, 11b, 11c, 11d, ... Image pick-up device 111 ... Cloud image generation part 112 ... Cloud image analysis part 12 ... Cloud parameter DB (cloud parameter database)
20 ... Solar radiation amount calculation unit 21 ... Solar radiation parameter DB (solar radiation parameter database)
30 ... Radiation temperature calculation part 31 ... Building parameter DB (building parameter database)
40 ... PMV calculation part 41 ... Temperature and humidity measurement part 42 ... Input part 43 ... Airflow parameter DB (airflow parameter database)
50: Air conditioning control parameter calculation unit 100: Controlled object (office building, department store, residential building, etc.)

Claims (4)

An image capturing means for capturing a cloud image above the building where the air conditioning control system is installed;
Cloud parameter storage means for storing past reference cloud images over the building;
Cloud parameter generation means for generating a cloud parameter by comparing the captured cloud image and the reference cloud image stored in the cloud parameter storage means;
A solar radiation amount calculating means for calculating a solar radiation amount from the cloud parameter generated by the cloud parameter generator;
The solar radiation amount calculation apparatus characterized by having. An image capturing means for capturing a cloud image above the building where the air conditioning control system is installed;
A cloud parameter storage unit for storing past reference cloud images over the building;
Cloud image generation means for generating cloud parameters by predicting near-future cloud parameters from external weather parameters, the captured cloud image, the reference cloud image stored in the cloud parameter storage unit,
A solar radiation amount calculating means for calculating a near future solar radiation amount from the cloud parameter generated by the cloud parameter generator;
The solar radiation amount calculation apparatus characterized by having. The image photographing means is composed of a plurality of
The cloud parameter generation unit generates a cloud parameter by comparing at least a plurality of cloud images photographed by the plurality of image photographing units and the reference cloud image. The solar radiation amount calculation apparatus of 2. PMV calculation means for calculating a comfort index PMV based on the solar radiation amount calculated by the solar radiation amount calculating device according to any one of claims 1 to 3,
An air conditioning control system comprising air conditioning control parameter control means for controlling an air conditioning operation by calculating an air conditioning parameter based on the comfort index PMV calculated by the PMV calculating means.

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