Greening shading system and cooling island system

Abstract

Greening shading system (1), comprising: a greening shading unit (10) for creating a shady space by a greening shading formed using a plant (12); a spray unit (16) for converting water into mist and spraying the mist onto the plant (12); and a mist control unit (26) for controlling a spraying operation of the mist performed by the spray unit (16) based on an air temperature of an environmental control area including the shaded space and a temperature schedule representing a target temperature of the environmental control area in each time range.

Description

Field of InterestThe present disclosure relates to a welcoming shading system and a cooling island system used as a countermeasure against heat mainly in outdoor summer.BackgroundCountermeasures are usually taken against outdoor heat in summer, such as installing a welcoming shade to block sunlight and artificially create a shaded space, atomizing water and spraying the atomized water so as to make the air temperature fall below the ambient temperature.For example, Patent Literature 1 describes, as a shading cooling device, a device including a frame unit for growing a plant, rods for supporting the frame unit at a height higher than a human body size, an artificial imitation plant formed of a water-absorbing material and disposed on the frame unit, and spraying means for spraying water onto the plant and the irritation plant, the device cooling a shaded space generated by the plant and the irritation plant by evaporating water from the surfaces of the plant and the irritation plant.List of Citer ListsPatent LiteraturePatent Literature 1: Japanese Patent Laid-Open No. 2005-237261Overview of the InventionTechnical ProblemThe technology described in Patent Literature 1 makes it possible to effectively block the sunlight even when the plant has not yet sufficiently grown by disposing the plant irritation on the frame unit. Further, the spraying of water onto the plant and the plant irritation makes it possible to lower the air temperature in the shaded space.However, in the technology described in Patent Literature 1, the water is sprayed at predetermined intervals or at predetermined timings. That is, water is sprayed without considering the conditions such as the temperature of the shaded space, which poses a problem that the shaded space cannot be maintained in a comfortable state in some cases. For example, when the air temperature is high, the water may be insufficiently sprayed, so that the air temperature decreases only slightly and a comfortable environment cannot be created. In addition, water can be sprayed even when there is no need to lower the air temperature, thereby lowering the air temperature, which may impair feeling of comfort.The present disclosure has been made in view of the above, and it is an object of the present disclosure to provide a welcoming shading system capable of keeping the inside of a shaded space generated by welcoming shading in a desired state.Solution of the ProblemIn order to solve the above-described problems and achieve the object, a welcoming shading system according to the present disclosure includes: a welcoming shading unit to generate a shaded space by welcoming shading formed using a plant; a spray unit to convert water into mist and to spray the mist onto the plant; and a mist control unit to control a spray operation of the mist performed by the spray unit based on an air temperature of an environment control region including the shaded space and a temperature plan representing a target temperature of the environment control region in each time region.Advantageous Effects of the InventionA welcoming shading system according to the present disclosure has an advantage of being able to maintain the inside of a shaded space generated by welcoming shading in a desired state.Brief Description of the DrawingsFIG. 1 is a diagram showing an example configuration of a cooling island system implemented using welcoming shading systems according to a first embodiment. FIG. 2 is a diagram showing an example configuration of a welcoming shading unit of the welcoming shading system according to the first embodiment. FIG. 3 is a diagram showing an example configuration of an environmental control device of the welcoming shading system according to the first embodiment. FIG. 4 is a diagram showing an example configuration of a data management device according to the first embodiment. FIG. 5 is a flowchart showing an example of the operation of a fog control unit of the welcoming shading system according to the first embodiment. FIG. 6 is a diagram showing an example of the hardware implementing the surrounding control device of the welcoming shading system according to the first embodiment. FIG. 7 is a diagram showing an example configuration of a cooling island control device according to the first embodiment. FIG. 8 is a diagram for describing an operation of the cooling island control device according to the first embodiment. FIG. 9 is a diagram showing an example of the functional block configuration of a user terminal according to the first embodiment. FIG. 10 is a diagram illustrating an example of the functional block configuration of a maintenance-purpose management terminal according to the first embodiment. FIG. 11 is a diagram showing an example of the functional block configuration of a management terminal operated by planning personnel according to the first embodiment. FIG. 12 is a diagram showing an example configuration of a fog control unit included in an environmental control device according to a second embodiment. FIG. 13 is a diagram showing an example configuration of a Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit included in a cooling island control device according to the second embodiment. FIG. 14 is a diagram showing an example configuration of a fog control unit included in an environmental control device according to a third embodiment. FIG. 15 is a diagram showing an example configuration of a neural network.DESCRIPTION OF THE EMBODIMENTSA welcoming shading system and a cooling island system according to the embodiments of the present disclosure will be described in detail below with reference to the drawings.First EmbodimentFIG. 1 is a diagram showing an example configuration of a cooling island system 100 implemented using welcoming shading systems according to a first embodiment.The cooling island system 100 includes one or moreWelcoming shading systems 1, a data management device 3, a cooling island control device 4, a user terminal 5, a maintenance management terminal 6, and a management terminal 7 operated by planning personnel.Each of the welcoming shading systems 1 includes a welcoming shading unit 10 that generates a shaded space by welcoming shading formed using a plant such as the passion flower, and an environment controller 20 that controls the welcoming shading unit 10. The welcoming shading system 1 sprays atomized water onto the welcoming shading of the welcoming shading unit 10 and allows the sprayed water to evaporate to cause the air temperature to fall below the ambient temperature.The data management device 3, in conjunction with the environment control device 20, controls a forest therapy effect generated by negative ions, phytonicide, and the like within the shaded space generated by the welcoming shading unit 10.The cooling island control device 4 controls the operation of each of the welcoming shading systems 1 from a more macroscopic perspective, and thus causes a wind to wake in a local area in which each of the welcoming shading systems 1 is installed, to achieve the cooling effect of the wind.The user terminal 5 is a terminal worn by a user using the welcoming shading system 1. The user terminal 5 acquires information on the welcoming shading system 1 via the data management device 3 to provide services to the user such as guiding the user to a nearby welcoming shading system 1 and providing a notification of a state such as the air temperature within the shaded space generated by the welcoming shading system 1.The maintenance-purpose management terminal 6 is a terminal for use by a worker who is involved in the configuration and maintenance of the welcoming shading system 1. The maintenance-purpose management terminal 6 is used by a worker for remote initialization and remote maintenance of the environmental control device 20, the data management device 3, and the cooling island control device 4.The planning personnel management terminal 7 is a terminal for use by the planning personnel of the cooling island system 100, and has functions to support decision making of the planning personnel with respect to the installation locations and the number of installations of the welcoming shading systems 1.In the island cooling system 100 shown in FIG. 1, the data management device 3 and the island cooling control device 4 are implemented in the cloud. The data management device 3 and the environmental control device 20 of the welcoming shading system 1 may communicate with each other via cables or wirelessly. Further, the data management device 3 and each of the user terminal 5, the maintenance-use management terminal 6, and the wireless management terminal 7 operated by planning personnel can communicate with each other.In the cooling island system 100 configured as described above, each of the welcoming shading systems 1 sprays atomized water onto the welcoming shading formed using passion flowers to generate an environment having an air temperature lower than the environment temperature at which a visitor feels comfortable. The atomized water is sprayed in consideration of the conditions (particularly, the air temperature, the humidity, and / or the like) of the shaded space generated by shading of the passion flower and also in consideration of the maintenance of the conditions suitable for the growth of the passion flower, and details thereof will be described later. Note that in the following description, atomizing and spraying water, i.e., spraying atomized water, may possibly be referred to as "spraying a mist".In the cooling island system 100, the data management device 3 provides the user with information on each of the welcoming shading systems 1, for example, information on the operation status of each of the welcoming shading systems 1, conditions such as the temperature, the humidity, and the wind of the shaded space generated by each of the welcoming systems 1, the installation location of each of the welcoming shading systems 1, and the like. This information is provided to the user using the user terminal 5. Further, in the cooling island system 100, the cooling island control device 4 individually controls the operation of each of the plurality of welcoming shading systems 1 installed in a local area apart from each other, and thus generates a higher air temperature location and a lower air temperature location in the local area, thereby to wind a wind in the local area.FIG. 2 is a diagram showing an example configuration of the welcoming shading unit 10 of the welcoming shading system 1 according to the first embodiment. The welcoming shading unit 10 includes a shading frame 11, a passion blast 12, a mist unit 13, an irrigation unit 14, and a pump 15.The welcom shading unit 10 has a basic part including the shading frame 11 and the passion flower bush 12 interlaced with the shading frame 11 and forming a roof. This part serves as the welcoming shade that creates the shaded space. The mist unit 13 converts the water supplied by the operation of the pump 15 into mist and sprays this mist onto the leaves of the passion flower bush 12, and cool air is generated by the heat of vaporization of the water droplets, whereby the air temperatures in and around the welcoming shade can be lowered. The irrigation unit 14 provides automatic irrigation in which the water supplied from the pump 15 is guided into the root areas of the passion flower bush 12 without manual intervention, so that the daily manual irrigation can be eliminated.Note that although the welcoming shading unit 10 uses the passion flower bush 12 formed from the passion flower of the passion flower quantity growth family, any plant unlikely to be rot with water in a high air temperature environment may be used in the present embodiment besides the passion flower bush 12. Further, the shading frame 11 is made of iron or a resin, but the material is not limited thereto and may be made of wood. The use of wood causes the wood to absorb water and provide a higher cooling effect by heat of vaporization. In addition, a water-absorbing material such as stuck wood chips or urethane may be incorporated into the passion blast 12. As a result, the cooling effect due to the heat of vaporization can be further improved.The environment within the shaded space generated by the welcom shading unit 10 is controlled in association by the environment control device 20 and the data management device 3. The amount of mist to be sprayed and the timing of spraying the mist onto the passion flower bush 12 are controlled by these components in conjunction to provide a comfortable shaded space by maintaining the air temperature and / or the like in the shaded space at an appropriate level and to ensure the growth of the passion flower bush 12 and the maintenance of the green shading state by considering parameters (e.g., air temperature, CO2, lighting, etc.) to be considered in mist control for the growth of the passion flower bush 12. That is, the environmental control device 20 controls the amount of mist to be sprayed and the time of spraying to provide a comfortable shaded space within the ranges of the parameters (e.g., air temperature, CO2, lighting, etc.) that need to be considered for the growth of the passion flower bush 12. The environment control device 20 controls the parameters to be considered for growth before the parameters to be considered for the adjustment of the shaded space.FIG. 3 is a diagram showing an example configuration of the surrounding control device 20 of the welcoming shading system 1 according to the first embodiment. The environment control device 20 includes a cloud interface unit 21, a device interface unit 22, a sensor unit 23, an actual data acquisition unit 24, a control unit 25 configured to include a mist control unit 26 and an irrigation control unit 27, a mist operation time management unit 28, and a thermal plan management unit 29. This environment control device 20 operates in conjunction with the data management device 3 to control the environment such as the air temperature inside and near the shaded space generated by the welcoming shading of the welcoming shading unit 10. The environment control device 20 is configured using a personal computer (PC), a programmable logic controller (PLC), and / or the like.FIG. 4 is a diagram showing an example configuration of the data management device 3 according to the first embodiment. The data management device 3 includes an interface unit 31, a temperature change prediction unit 32, an actual data acquisition unit 33, a user application 34 configured to include a user service 341 and a remote control service 342, a fog operation timing setting unit 35, and a temperature plan setting unit 36.The components of the environmental control device 20 and the components of the data management device 3 will be described below. First, the components of the environment control device 20 will be described.The cloud interface unit 21 receives temperature change prediction information from the data management device 3, receives a setting request or change request regarding fog operation time from the data management device 3, receives a setting request or change request regarding a temperature map from the data management device 3, receives a change request regarding a setting value of the environment control device 20 from the data management device 3, receives a request regarding operation state information or a request regarding setting value information of the environment control device 20 from the data management device 3, transmits welcoming shading environment data to the data management device 3, and transmits operation state information or setting value information of the environment control device 20 to the data management device 3.In this regard, the temperature change prediction information is information on a predicted air temperature change on a day in a local area in which the welcoming shading is installed, and is, for example, either meteorological information published from an external organization or information generated by processing this meteorological information in consideration of information specific to the local area in which the welcoming shading is installed. Further, the mist operation time is the time range in which a spray unit 16, i.e., the spray unit 13 constituting the spray unit 16 with the pump 15, sprays a mist. This fog operation time range is set based on the temperature change prediction information. For example, a time range in which a predicted temperature is equal to or higher than a predetermined threshold is set as the mist operation time range. Note that in an actual spray operation of mist, whether to spray mist and / or the amount of water to be sprayed as mist is / are controlled in consideration of the data received from the sensor unit 23, i.e., the result of observation by the sensor unit 23, as well as spraying in the mist operation time range. Further, the welcoming shading environment data is data of air temperature, humidity, CO2, lighting, wind speed, and the like inside and near the shaded space provided by the welcoming shading.The sensor unit 23 comprises various sensors arranged in and around the welcoming shading to acquire data such as the air temperature, the air humidity, the CO2, the lighting and / or the wind speed inside and outside the welcoming shading. Examples of the sensors included in the sensor unit 23 are a temperature sensor, a CO2sensor, an humidity sensor, and an illumination sensor. The sensor unit 23 transmits the data acquired by the various sensors as the welcoming shading environment data to the device interface unit 22, The device interface unit 22 receives the data acquired by the sensor unit 23, including the temperatures or the like inside and outside the welcoming shading, from the sensor unit 23 as the Begrünungsbeschattungsumgebungsdaten. The welcoming shading environment data is used by the mist control unit 26 (described later) to control the spraying operation of a mist performed by the spraying unit 16, and is transmitted to the data management device 3 via the actual data acquisition unit 24 and the cloud interface unit 21.The actual data acquisition unit 24 acquires the welcoming shading environment data output from the sensor unit 23 via the device interface unit 22, and supplies the welcoming shading environment data to the cloud interface unit 21 for transmission to the data management device 3.The fog operation time management unit 28 manages the fog operation time. The mist operation time represents the mist operation time range, which is the time range in which the spraying unit 16 of the welcoming shading unit 10 sprays a mist. Specifically, the fog operation time management unit 35 of the data management device 3 receives a setting request or a change request regarding the fog operation time range for the welcoming shading from the maintenance-purpose management terminal 6 and a change request regarding the fog operation time range for the welcoming shading from the cooling island control device 4, and updates the setting thereof accordingly.The temperature plan management unit 29 manages the temperature plan representing a target temperature of an environment control area in each time area. Specifically, the thermal plan management unit 29 receives, via the thermal plan setting unit 36 of the data management device 3, a setting request or a change request regarding the thermal plan for the welcoming shading from the maintenance-use management terminal 6 and a change request regarding the thermal plan for the welcoming shading from the cooling island control device 4, and updates the setting thereof accordingly. As used herein, the environment control area refers to the area in which the sensor unit 23 acquires the gull shading environment data, and corresponds to a certain area in and around the shaded space generated by the gull shading.The mist control unit 26 controls the spray operation of a mist performed by the spray unit 16 in consideration of the Begrünungsbeschattungsumgebungsdaten detected by the sensor unit 23, the mist operation time range managed by the mist operation time management unit 28, and the temperature plan managed by the temperature plan management unit 29. Specifically, the mist control unit 26 controls the pump 15 of the spraying unit 16 to decrease a difference between the current air temperature obtained by the sensor unit 23 from the gull shading environment data and the target temperature indicated at the actual time in the temperature plan managed by the temperature plan management unit 29, thereby adjusting the amount and time of spraying the mist onto the leaves of the passion flower bush 12. Thus, the cool air resulting from the heat of vaporization of the water droplets is adjusted so that the air temperature of the environment control region approaches the target temperature, thus creating a comfortable environment. Note that the mist control unit 26 may control the adjusting means to adjust the amount of mist to be sprayed instead of the pump 15, or may control both the pump 15 and the adjusting means to adjust the amount of mist to be sprayed and the timing of spraying the mist when an adjusting means for adjusting the amount of water, e.g., a mist unit tap 17, is provided on the path for supplying water to the mist unit 13.The mist control unit 26 adjusts the amount of mist spraying and the timing of spraying in consideration of parameters (e.g., air temperature, CO2, lighting, etc.) to be taken into consideration for the growth of the gull shading, and thus achieves both the growth and maintenance of the gull shading and the provision of a comfortable shaded space. Further, when the sensor unit 23 acquires temperature information from temperature sensors installed at multiple locations, the mist control unit 26 adjusts the amount of mist to be sprayed and the timing of mist spraying to compensate for the variations in air temperature depending on the locations, and when multiple pumps 15 are installed, adjusts the amount of mist to be sprayed and the timing of mist spraying based on the individual pumps 15. In addition, in order to counteract a delay of cooling by the heat of vaporization from the temperature map, the fog control unit 26 may acquire the temperature change prediction information from the data management device 3 and proactively introduce the cooling to mitigate or prevent the delay of cooling and more reliably reach the target temperature. For example, the mist control unit 26 checks the predicted temperature at the start time of the mist operation time range at a time a certain period before the start of the mist operation time range, and starts the control of the spray unit 16 at a time based on the result of the comparison between the predicted air temperature and the current air temperature, thus proactively cooling the environmental control range.The mist control unit 26 controls the spraying of mist in the welcoming shading system 1, for example, according to the flowchart shown in FIG. 5. FIG. 5 is a flowchart showing an example of the operation of the fog control unit 26 of the welcoming shading system 1 according to the first embodiment.As shown in FIG. 5, the fog control unit 26 first checks whether the current time falls within the fog operation time range (step S 11). That is, the fog control unit 26 checks whether the current time falls within the fog time range managed by the fog time management unit 28. When the current time is outside the fog operation time range (step S 11: No), the fog control unit 26 repeats the check operation as to whether the current time falls within the fog operation time range.When the current time falls within the fog operation time range (step S 11: Yes), the fog control unit 26 acquires sensor observation data, i.e., the Begrünungsbeschattungsumgebungsdaten from the sensor unit 23 (step S 12).Next, the fog control unit 26 checks whether it is raining (step S 13). When the sensors included in the sensor unit 23 include a rain sensor, the fog control unit 26 determines whether it is raining based on the Begrünungsbeschattungsumgebungsdaten obtained in step S 12. When the sensors included in the sensor unit 23 do not include a rain sensor, the fog control unit 26 may possibly determine whether it is raining based on precipitation data for each local area available from an external organization. Alternatively, the determination of whether it is raining may be made based on information about humidity observed by a humidity sensor and not an amount of precipitation observed by a rain sensor. In view of the fact that the humidity under rain reaches almost 100%, the fog control unit 26 determines that it is raining when the humidity is higher than a predetermined threshold. When it is raining (step S 13: Yes), the mist control unit 26 returns to step S 11 and continues the operation. That is, when it is raining, there is no need to spray a mist, and the mist control unit 26 accordingly does not cause a mist to be sprayed.Meanwhile, when it is not raining (step S 13: No), the fog control unit 26 checks whether the air temperature of the surrounding control area observed by the sensor unit 23 is higher than the target temperature (step S 14). That is, the fog control unit 26 checks the temperature map managed by the temperature map management unit 29 to determine the target temperature at the current time, and checks whether the air temperature of the environmental control region at the current time is higher than the target temperature. When the air temperature of the environmental control region is less than or equal to the target temperature (step S 14: No), the mist control unit 26 returns to step S 11 and continues the operation. That is, the mist control unit 26 does not cause a mist to be sprayed when the air temperature of the environmental control region is equal to or lower than the target temperature to prevent an air temperature drop.Alternatively, if the air temperature of the environmental control region is higher than the target temperature (step S 14: Yes), the fog control unit 26 checks whether the humidity is lower than a target humidity (step S 15). The target humidity may be a predetermined fixed value or a value calculated from the target temperature at the current time used in the determination in step S 14. It is known that the comfort felt by a person depends mainly on the air temperature and the air humidity, and that a higher air temperature at the same air humidity results in a greater discomfort. Accordingly, the fog control unit 26 may set the target humidity to a lower value for a higher target temperature and the target humidity to a higher value for a lower target temperature. Otherwise, in step S 15, the fog control unit 26 may use, instead of the humidity, an discomfort index calculated from a combination of the air temperature and the humidity, and determine whether the discomfort index is less than or equal to a threshold value. When the humidity is equal to or higher than the target humidity (step S 15: NO), the mist control unit 26 returns to step S 11 and continues the operation. That is, the mist control unit 26 does not spray mist when the humidity of the environmental control region is equal to or higher than the target humidity to prevent a humidity increase, i.e., an increase in discomfort.Alternatively, if the humidity is below the target humidity (step S 15: Yes), the fog control unit 26 checks whether a growth condition of the welcoming shading is satisfied (step S 16). The growing condition of the welcoming shading is represented by parameters to be taken into account for the growth of the passion flower bush 12 constituting the welcoming shading, specifically, the air temperature, the amount of water supplied, the temperature of the soil in which the passion flower bush 12 is planted, the water content of the soil, and the like. For example, when it is assumed that the air temperature suitable for the growth of the passion flower bush 12 is approximately from 20° C. to 30° C., a temperature range of 20° C. to 30° C. is determined as the growth condition with respect to the air temperature. Water must also be added to prevent the soil from drying out for growth of the passion flower bush 12. However, over-watering can lead to the root decay and thus death. Therefore, when the parameters include the air temperature and the irrigation amount, the mist control unit 26 checks whether the conditions are satisfied, such as whether the air temperature falls within a temperature range suitable for the growth of the passion blast 12 and whether the irrigation amount has not reached a predetermined upper limit value. The upper limit value of the irrigation amount is defined by a combination of the upper limit value of the amount of water supplied to the passion blast 12 per irrigation operation and the upper limit value of the amount of water supplied to the passion blast 12 in a predetermined period of time. When neither the amount of water supplied in an irrigation operation nor the total amount of water supplied in a predetermined period of time has reached the upper limit value, the mist control unit 26 determines that the amount of irrigation has not reached the predetermined upper limit value. Note that, in determining whether the irrigation amount has reached the upper limit value, the mist control unit 26 also takes into account the amount of water supplied from the irrigation unit 14 to the passion flower bush 12. That is, the mist control unit 26 determines that the growth condition is not satisfied when the sum of the amount of the mist sprayed from the mist unit 13 onto the passion blast 12 and the amount of water supplied from the irrigation unit 14 to the passion blast 12 has reached the upper limit value. Although the above description refers to the air temperature and the irrigation amount, the mist control unit 26 also determines whether the temperature and the water content of the soil fall within the respective ranges suitable for the growth.When the growth condition of the welcoming shading is not satisfied (step S 16: NO), the fog control unit 26 returns to step S 11 and continues the operation. That is, the mist control unit 26 does not cause a mist to be sprayed when the state of the surrounding control area does not satisfy the growth condition of the welcoming shading.Alternatively, when the growing condition of the welcoming shade is satisfied (step S 16: Yes), the mist control unit 26 causes a mist to be sprayed (step S 17). Specifically, the mist control unit 26 drives the pump 15 of the spraying unit 16 for a predetermined fixed period of time to spray a mist from the spraying unit 13. In this operation, the mist control unit 26 may intermittently spray a mist from the spraying unit 13 by repeatedly driving and stopping the pump 15 instead of continuously driving the pump 15. The mist control unit 26 may adjust the amount of mist to be sprayed from the mist unit 13 based on the illumination or wind speed detected by the sensor unit 23. For example, since the air temperature tends to increase in the fine weather and high lighting, the mist control unit 26 controls more mist to be sprayed in the high lighting. In addition, since strong wind lowers the sensed temperature, the mist control unit 26 controls less mist to be sprayed in strong wind. In addition, when the spray unit 16 is configured to include a plurality of pumps 15, the mist control unit 26 controls the pumps 15 to generate a homogeneous air temperature distribution in the environmental control region. That is, the mist control unit 26 controls the pumps 15 so that more mist is sprayed from the spraying unit 13 installed in a region having a higher air temperature than from the spraying unit 13 installed in a region having a lower air temperature. After the mist is sprayed for the set period of time, the mist control unit 26 returns to step S 11 and continues the operation.Note that, in the above-mentioned step S 11, the fog control unit 26 may check whether the current time is between a time that is a certain period before the start time of the fog operation time range and the end time of the fog operation time range, instead of checking whether the current time falls within the fog operation time range. For example, when the fog operation time range is from 12 to 14 o'clock, the fog control unit 26 checks whether the current time is between 50 minutes after 11 o'clock (11:50) and 14 o'clock. In this way, control for proactively cooling the environmental control region can be performed before the start time of the mist operation time region.As additional information, the heat of vaporization caused by the spraying of a mist has a cooling effect, and the heat of vaporization caused by the spraying of a mist is expected to typically cause an air temperature drop by about 2° C. to 3° C. For example, when the effect of the air temperature drop was measured by spraying a mist in outer and half outer areas, an effect of the air temperature drop was observed around 1.5° C. in the outer area and around 2° C. to 3° C. in the half outer area.Further, it is reported that when dry mist (fine mist having a size of 10 to 30 micrometers) is used, an air temperature drop by 5° C. or more is expected although the air temperature is lowered in a welcoming house.It is also reported that, in addition to the effect of spraying a mist on sheets, a "water showering effect" caused by the mist also sprayed on the ground is to lower the sensitive temperature by about 1.5°C.Moreover, it is reported that spraying superfine mist (dry mist) has the following gull-shading growing effect. Superfine mist spraying increases the day humidity by about 10% on average and keeps the saturation deficit constantly at a lower value than under the conditions without superfine mist. Further, the superfine mist reduces the amount of CO2 consumed by its ventilation reducing effect. The superfine mist spray increases the stomata opening, thereby increasing the number of cut flowers of the three species examined by 5% to 19%. In the pre-wilting life and the nutrient content, no difference was found between the superfine mist spray and the non-superfine mist spray, so that it is considered that the superfine mist spray improves the CO2feed efficiency.Returning to the description with reference to FIG. 3, the irrigation control unit 27 controls the pump 15 and the irrigation unit 14 based on information on the irrigation time, the irrigation amount, and the like set in the irrigation control unit 27. In this operation, the irrigation control unit 27 controls the irrigation unit 14 based on the amount of irrigation by the irrigation unit 14 and the amount of irrigation for the passion flower smoke 12 provided by spraying a mist by the mist unit 13. That is, the irrigation control unit 27 controls the pump 15 and the irrigation unit 14, keeping in mind that the sum of the amount of irrigation provided via the irrigation unit 14 and the amount of irrigation provided via the spraying unit 13 does not exceed an upper limit value of the amount of irrigation suitable for the growth of the passion flower bush 12.A hardware configuration of the environment control device 20 of the welcoming shading system 1 will now be described. FIG. 6 is a diagram showing an example of the hardware implementing the environment control device 20 of the welcoming shading system 1 according to the first embodiment.The environmental control device 20 may be implemented using a processor 101, a memory 102, a communication device 103, and an interface circuit 104. Examples of the processor 101 include a central processing unit (CPU) (also known as a processing unit, a computing unit, a microprocessor, a microcomputer, and a digital signal processor (DSP)), and a system large scale integration (LSI). Examples of the memory 102 include a nonvolatile or volatile semiconductor memory such as a random access memory (RAM), a read only memory (ROM), and a flash memory, and a magnetic disk.The actual data acquisition unit 24, the fog control unit 26, the irrigation control unit 27, the fog operation time management unit 28, and the thermal plan management unit 29 of the environmental control device 20 are implemented by execution of a program by the processor 101 to cause the processor 101 to operate as these components. The program for causing the processor 101 to function as the actual data acquisition unit 24, the mist control unit 26, the irrigation control unit 27, the mist operation time management unit 28, and the temperature plan management unit 29 is stored in the memory 102 in advance. The processor 101 reads this program from the memory 102 and executes the program, which causes the processor 101 to function as the actual data acquisition unit 24, the mist control unit 26, the irrigation control unit 27, the mist operation time management unit 28, and the temperature plan management unit 29.Further, the cloud interface unit 21 of the environment control device 20 is implemented in the communication device 103, and the device interface unit 22 is implemented in the interface circuit 104. The interface circuit 104 is also used for outputting control data to the pump 15 and the irrigation unit 14.Next, the components of the data management device 3 will be described.The interface unit 31 receives the welcoming shading environment data from the environment control device 20, receives the operation state information or setting value information of the environment control device 20 from the environment control device 20, transmits the temperature change prediction information to the environment control device 20, transmits a request request for the operation state information or a request for the setting value information of the environment control device 20 to the environment control device 20, transmits a change request for a setting value of the environment control device 20 to the environment control device 20, transmits a setting request or change request for the fog operation time to the environment control device 20, transmits a setting request or change request for the temperature plan, receives a welcoming shading information request from the user terminal 5, transmitting welcoming shading list information to the user terminal 5, transmitting welcoming shading state information to the user terminal 5, transmitting hot-blast warning information to the user terminal 5, receiving a request for retrieval of the operating state information or the setting value information of a specific environmental control device 20 from the maintenance purpose management terminal 6, receiving a change request of the setting value of a specific environmental control device 20 from the maintenance purpose management terminal 6, receiving a setting request or change request of the misting operation time of the welcoming shading from the maintenance purpose management terminal 6, receiving a setting request or change request of the temperature plan for welcoming shading from the maintenance purpose management terminal 6, transmitting the operating state information or setting value information of a specific environment control device 20 to the management terminal 6 for maintenance purposes, and receives predicted air temperature information from an air temperature prediction service offered by an external organization.The temperature change prediction unit 32 predicts the air temperature in each local area in each time range of this day, taking into account the predicted air temperature information acquired from the air temperature prediction service offered by an external organization, and taking into account the independently predicted air temperature derived using specific logic from each applicable part of the welcoming shading environment data acquired in the actual data acquisition unit 33. The temperature change prediction unit 32 then transmits the temperature change prediction information representing the prediction result to the surrounding control device 20 via the interface unit 31The actual data acquisition unit 33 aggregates the parts of the Begrünungsbeschattungsumgebungsdaten periodically acquired from each of the surrounding control devices 20 via the interface unit 31, and acquires the welcoming shading surrounding data in a database.The user application 34 includes the user service 341 and the remote control service 342. The user service 341 has two functions, one of which is a welcoming shading search and state display function and the other of which is a hot-blast warning display function. The welcoming shading search and state display function provides a list of welcoming shades satisfying a certain condition such as being in the vicinity of a certain location in response to a welcoming shading information request from the user terminal 5 to this user terminal 5, and additionally reads information on the conditions (the air temperature, etc.) of a certain welcoming shade from the actual data acquisition unit 33 and provides this information to this user terminal 5. the hot strike warning display function sends hot strike warning information to the user terminal 5 located in a local area in which there is a high risk of hot strike due to an air temperature rise to or above a certain level, based on hot island information, which are managed by the cooling island control device 4. The heater island information is information representing the air temperature distribution in a local area where a plurality of the welcoming shading systems 1 are installed. By checking this heater island information, information such as the air temperature at an arbitrary location and the air temperature difference between an arbitrary pair of locations in the local area can be obtained.When a request for retrieval regarding the operation state information or the setting value information of a particular environmental control device 20 is issued from the maintenance-purpose management terminal 6, the remote control service 342 acquires the operation state information or setting value information of that particular environmental control device 20 and transmits that information to the maintenance-purpose management terminal 6 that has made the request. Further, when a change request regarding the setting value of a specific surrounding control device 20 is issued from the maintenance-purpose management terminal 6, the remote control service 342 transmits the change request regarding the setting value to this surrounding control device 20.When a setting request or a change request related to the fog operation time range for the welcoming shading is issued from the maintenance-purpose management terminal 6, the fog operation time setting unit 35 receives this setting request or change request via the interface unit 31 and updates the setting thereof based on the request. When a change request regarding the fog operation time range for the welcoming shading is issued from the cooling island control device 4, the fog operation time setting unit 35 updates its setting based on this change request. In any case, the fog operation time setting unit 35 transmits the setting request or change request to the surrounding control device 20 via the interface unit 31, and the fog operation time management unit 28 of the surrounding control device 20 receives the request via the cloud interface unit 21 and updates the setting accordingly.When a setting request or a change request related to the temperature plan for the welcoming shading is issued from the maintenance-purpose management terminal 6, the temperature plan setting unit 36 receives this setting request or change request via the interface unit 31 and updates its setting based on the request. Further, the temperature plan setting unit 36 updates the settings based on these change requests when change requests regarding the fog operation time range and regarding the temperature plan for the welcoming shading are output from the cooling island control device 4. In any case, the thermal plan setting unit 36 transmits the setting request or change request to the surrounding control device 20 via the interface unit 31, and the thermal plan management unit 29 of the surrounding control device 20 receives the request via the cloud interface unit 21 and updates the setting thereof accordingly.Note that the above-described data management device 3 is implemented in an electronic computer in which a program for providing the functionality to be provided by the data management device 3 is installed. That is, the execution of the above program by the processor of the electronic computer implements the data management device 3.The cooling island control device 4 will be described next. FIG. 7 is a diagram showing an example configuration of the cooling island control device 4 according to the first embodiment. Further, FIG. 8 is a diagram for explaining an operation of the island cooling control device 4 according to the first embodiment, and illustrates a relationship between the island cooling control device 4 and the data management device 3.The island cooling control device 4 includes a Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41, an island cooling control function unit 42, a island cooling situation management unit 43, and a wind data acquisition unit 44.Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 simulates the wind generation caused by the installation of the welcoming shading and the cooling effect of this wind, thus assisting the decision making of the cooling island system planning personnel with respect to the installation locations and the number of installations of the welcoming shading.Specifically, the island cooling system planning personnel uses the Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 to change a theoretical air temperature of each local area by adjusting the number of the welcoming shading installations at each proper location and then simulating the wind (wind speed and wind direction) caused by a resultant temperature difference between the local areas as well as the cooling effect of the wind. This facilitates consideration and determination of how many welcoming shadows are to be installed at which locations in order to lower the air temperature, in particular in a warm area.The cooling island control function unit 42 controls the amount of the mist to be sprayed and the timing of spraying the mist by the welcoming shading unit 10 of each welcoming shading system 1 with the intention of influencing the air temperature of the entire local area. This is done by comprehensively considering heater island information (information on the air temperature at each applicable location in this local area) managed by the heater island situation management unit 43, data of the wind speed and the wind direction managed by the wind data acquisition unit 44, data such as the temperature managed by the actual data acquisition unit 33 of the data management device 3, and the temperature change prediction information of this day managed by the temperature change prediction unit 32. This is performed for a purpose of generating wind by artificially generating a temperature difference between local areas. A specific control method is that, as shown in FIG. 8, the chiller control function unit 42 outputs a change request for changing the fog operation time range of each of the welcoming shading systems 1 managed by the fog operation time setting unit 35 of the data management device 3 and changing the temperature plan of each of the welcoming shading systems 1 managed by the temperature plan setting unit 36, which are then updated in the environment control device 20 of each of the welcoming shading systems 1, respectively. Each of the environmental control devices 20 adjusts the amount of mist to be sprayed and the timing of spraying to the welcoming shading unit 10, thereby adjusting the air temperature in each of the welcoming shading units 10. The change in air temperature in each of the welcoming shading units 10 in turn affects the air temperature of the entire area. As described above, the setting of the air temperature of each area (each area where the welcom shading unit 10 is installed) in a local area results in a temperature difference between the local areas, thereby creating a wind. This wind has a cooling effect on the entire local area. The above-mentioned control is performed especially for a warm area to cool the local area.The heater island situation management unit 43 acquires data including the aforementioned heater island information from an external organization that publishes meteorological data, i.e., air temperature data at each applicable location in the local area, and assembles the acquired air temperature data to generate and manage the heater island information.The wind data acquisition unit 44 accumulates wind speed and wind direction data acquired from the surrounding control device 20 of the welcoming shading system 1 using the sensor unit 23, and wind speed and wind direction data for each time range specific to each local area acquired from an external organization.As supplementary information for supporting the feasibility of generating the wind generation effect by the cooling island control device 4, a mechanism of wind generation by a temperature difference will be described below. The weight (specific gravity) of air varies with the air temperature. That is, warmer air is lighter and colder air is heavier. Lighter air has a larger volume, i.e. a lower atmospheric pressure, for the same weight. Thus, a warmer atmosphere has a lower air pressure, while a cooler atmosphere has a higher air pressure. Wind is a phenomenon that arises in that air is forced from a higher air pressure space into a lower air pressure space. Thus, when local areas have different air temperatures, a wind is moving from the local area having a lower temperature to the local area having a higher temperature.Note that the above-described island cooling control device 4 is implemented in an electronic computer in which a program for providing the functionality to be provided by the island cooling control device 4 is installed. That is, the execution of the above program by the processor of the electronic computer implements the cooling island control device 4.Next, the user terminal 5 will be described. The user terminal 5 is a terminal such as a smartphone of the user. FIG. 9 is a diagram showing an example of a functional block configuration of the user terminal 5 according to the first embodiment.The user terminal 5 to be used by a general user includes a user application 51. the user application 51 includes an interface unit 511, a welcoming shading search and state display unit 512, a hot-shock warning information display unit 513, and another function unit 514.The interface unit 511 receives the welcoming shading list information from the data management device 3, receives the welcoming shading state information from the data management device 3, receives the hot-blast warning information from the data management device 3, and transmits a welcoming shading information request to the data management device 3.The welcoming shading search and state display unit 512 provides the user with the possibility of searching for welcoming shading in the vicinity of the user terminal 5, and also displays the environmental states, i.e., the temperature, the humidity, the wind speed, and the like, for each of the welcoming shading systems 1 found by the search.The hot-blast warning information display unit 513 displays the hot-blast warning information pushed by the user service 341 of the data management device 3.The other function unit 514 is an application that allows the user to offer a new store using the welcoming shading system 1, and for example, allows functionality for providing a notification of the situation of the human density of each of the welcoming shading units 10, functionality for selling passion fruits, and the like to be additionally provided.The maintenance-purpose management terminal 6 will be described next. The maintenance management terminal 6 is, for example, a tablet terminal, a notebook PC, or the like. FIG. 10 is a diagram showing an example of the functional block configuration of the maintenance-purpose management terminal 6 according to the first embodiment.The maintenance purpose management terminal 6 for use by a person who sets and maintains welcoming shadows includes a remote maintenance application 61. the remote maintenance application 61 includes an interface unit 611, a fog operation time setting unit 612, a temperature plan setting unit 613, and a remote maintenance unit 614.The interface unit 611 receives the operation state information or setting value information of a specific environmental control device 20 from the data management device 3, transmits a request for retrieval regarding the operation state information or setting value information of a specific environmental control device 20 to the data management device 3, transmits a change request regarding the setting value of a specific environmental control device 20 to the data management device 3, transmits a setting request or a change request regarding the fog operation time of a welcoming shading device to the data management device 3, and transmits a setting request or a change request regarding the temperature schedule information of a welcoming shading device to the data management device 3.The fog operation time setting unit 612 initializes and changes the fog operation time range managed by the fog operation time management unit 28 of the surrounding control device 20 via the fog operation time setting unit 35 of the data management device 3.The temperature plan setting unit 613 initializes and changes the temperature plan managed by the temperature plan management unit 29 of the environment control device 20 via the temperature plan setting unit 36 of the data management device 3.The remote maintenance unit 614 displays the operation state information of a specific environmental control device 20 via the remote control service 342 of the data management device 3, and initializes and changes the setting value of a specific environmental control device 20.The management terminal 7 operated by planning personnel will be described next. The management terminal 7 operated by planning personnel is, for example, a PC. FIG. 11 is a diagram showing an example of the functional block configuration of the management terminal 7 operated by planning personnel according to the first embodiment.The management terminal 7 operated by planning personnel includes Begrünungsbeschattungsinstallationsortauswahlauswertungseinheit 71 and a heater island situation checking unit 72.Begrünungsbeschattungsinstallationsortauswahlauswertungseinheit 71 provides planning personnel with the ability to simulate the wind generation caused by the installation of gull shadows and the cooling effect of the generated wind by adjusting the number of gull shadows at each appropriate location. The heater island situation checking unit 72 provides the planning personnel with the heater island situation, i.e., information representing an air temperature distribution in the local area.As described above, the cooling island system 100 according to the first embodiment includes one or more welcoming shading systems 1. each of the welcoming shading systems 1 controls the amount of the mist to be sprayed on welcoming shading including the shading frame 11 and the passion flower bush 12 interlaced with the shading frame 11 into a roof, based on the air temperature and the humidity of the environment control area including a shaded space generated by the welcoming shading and the growth state of the welcoming shading. In this way, the environmental control region can be maintained in a desired state. This can also prevent occurrence of a problem such as root rot due to over-watering of the passion flower bush 12 forming a welcoming shade, and thus keep the welcoming shade in a good state.Second EmbodimentNext, a second embodiment will be described. The cooling island system and the welcoming shading system according to the second embodiment are configured similarly to those of the first embodiment. The present embodiment will be described below with respect to the differences from the first embodiment.The cooling island system 100 according to the second embodiment uses machine learning to provide the operation described in the first embodiment. Machine learning is used in two cases. The first case is the use of machine learning when the environment control device 20 of the welcoming shading system 1 controls the environment of the environment control area. The second case is the use of machine learning when the island cooling control device 4 assists in determining the installation locations and the number of installations of welcoming shadows made by the design personnel of the island cooling system.The environment control device 20 and the cooling island control device 4 according to the second embodiment will be described below.The environmental control device 20 according to the second embodiment includes a fog control unit 26 ashown in FIG. 12 instead of the fog control unit 26 of the environmental control device 20 according to the first embodiment. FIG. 12 is a diagram showing an example configuration of the fog control unit 26 aincluded in the environmental control device 20 according to the second embodiment.The fog control unit 26 aincludes a machine learning device 80. The machine learning device 80 includes a state observation unit 81 and a learning unit 82.The fog control unit 26 acontrols the environment of the environment control region using a result of learning performed by the machine learning device 80. Specifically, the mist control unit 26 adetermines at which time the spraying unit 16 of the welcoming shading unit 10 should start spraying a mist based on a change in the air temperature, a predicted degree of human density, a wind state, and the like, based on a learning result. The welcom shading unit 10 experiences a temperature drop due to the heat of vaporization of the mist, which leads to a time lag before a cooling effect occurs due to the heat of vaporization of the mist. Given that most users using the welcoming shading system 1 are likely to use it for the first time, a comfortable environment must be provided in time. Therefore, it is important to minimize the time delay. That is, the spraying of mist must start before a target time point (for example, the start time of the mist operation time range), the arrival time of the user, in order to provide a comfortable environment at the time of the arrival of the user at the installation location of the welcoming shading system 1. However, as described in the description of the first embodiment, the spray of mist is controlled in consideration of the air temperature and the humidity of the environment control area and the growth state of the welcoming shade. This prevents the amount of mist to be sprayed from being constant and thus also the time required from the start of the spraying of mist until a comfortable environment is reached is constant. Therefore, the mist control unit 26 adetermines the timing for starting spraying mist based on the machine learning result. For example, when the user has been notified that the start time for the operation of the welcoming shading system 1, i.e., the start time for the provision of a comfortable environment by spraying fog, is 10 o'clock, the fog control unit 26 adetermines, based on the result of the machine learning, at which time the spraying of fog is to be started to cool the surrounding area and make the surrounding area fully comfortable before 10 o'clock. The mist control unit 26 athen starts controlling the spraying of mist at the specific time.The learning data input to the machine learning device 80 when the machine learning device 80 is to be performed include data of the operating state of the mist (hereinafter referred to as operating state data), data of the predicted degree of human density (hereinafter referred to as human density prediction data), prediction data of an increase in air temperature (hereinafter referred to as air temperature prediction data), prediction data of the wind speed and the wind direction (hereinafter referred to as wind prediction data), data of the actual air temperature, the air humidity, the wind direction, and the wind speed at the Begrünungsbeschattungsinstallationsort (hereinafter referred to as actual environment data), Data of the actual situation of human density at the Begrünungsbeschattungsinstallationsort (hereinafter referred to as human density situation data) and data of the stay time of human beings at the Begrünungsbeschattungsinstallationsort (hereinafter referred to as stay time data).The operation state data is data indicating the start time of mist spraying and the amount of mist to be sprayed. The timing of starting mist spraying is the timing at which mist spraying starts before the target timing. When the spraying unit 16 controls the repeated start and stop of the spraying of mist, the amount of mist to be sprayed is expressed by the duration of the spraying of mist and the amount of mist to be sprayed, and the duration of the non-spraying of mist.The human density prediction data is data representing a prediction value of the degree of human density at the target time at the Begrünungsbeschattungsinstallationsort. This data is acquired using, for example, human density prediction data (participation count prediction) provided from an external system. When it is difficult to acquire human density prediction data at the Begrünungsbeschattungsinstallationsort as a correlation between the participation number at a location (a point of interest, etc.) near the installation location of the welcoming shading and the participation number at the installation location of the welcoming shading is expected, participation number prediction data at a location near the Begrünungsbeschattungsinstallationsorts is used instead.The air temperature prediction data is data representing a predicted value of the air temperature at the target time at the Begrünungsbeschattungsinstallationsort. Similarly to the human density prediction data described above, the air temperature prediction data is also acquired using data provided from an external system. When air temperature prediction data is difficult to acquire at the Begrünungsbeschattungsinstallationsort air temperature prediction data at a location near the Begrünungsbeschattungsinstallationsorts is used instead.The wind prediction data is data representing the predicted values of the wind direction and the wind speed at the target time at the Begrünungsbeschattungsinstallationsort. Similarly to the above-described data of human density prediction data, the wind prediction data is also acquired using data provided from an external system. Further, when wind prediction data at the Begrünungsbeschattungsinstallationsort is difficult to acquire, wind prediction data at a location near the Begrünungsbeschattungsinstallationsorts is used instead.The actual environmental data is data representing the current air temperature, humidity, wind direction, and wind speed at the Begrünungsbeschattungsinstallationsort. The actual environment data is detected by the sensor unit 23.The human density situation data is data representing the current degree of human density at the Begrünungsbeschattungsinstallationsort and is acquired by, for example, analyzing an image of the Begrünungsbeschattungsinstallationsorts captured by an image sensor included in the sensor unit 23.The stay time data is data of the time duration in which the user is at the Begrünungsbeschattungsinstallationsort after reaching the target time. The residence time is different depending on the user and is defined as an average residence time per user, respectively. In addition, this data is generated using data provided from an external system, for example, activity data generated by analyzing location information of a device such as a smartphone worn by the user; or generated by analyzing images or videos of the Begrünungsbeschattungsinstallationsorts repeatedly captured by an image sensor included in the sensor unit 23.The machine learning device 80 receives the aforementioned learning data, and then learns the relationships between the pieces of data included in the learning data. An operation of each component when the machine learning device 80 performs the learning will be described next.The state observation unit 81 monitors, as state variables, the above-described operation state data, the human density prediction data, the air temperature prediction data, the wind prediction data, the actual surrounding data, the human density situation data, and the above-described stay time data as state variables.The learning unit 82 learns the timing for starting the spray of mist and the amount of mist to be sprayed on the basis of a data set generated on the basis of the state variables observed by the state observation unit 81.The learning unit 82 may use any learning algorithm. As an example, a case of application of reinforcement learning will be described. The reinforcement learning is performed such that an agent (acting entity) in a certain environment observes the current state and determines an action to be taken. The agent selects an action to obtain a reward from the environment, and thus learns a strategy that enables a maximum reward to be obtained by a sequence of actions. Typical known techniques of reinforcement learning are Q-learning and TD-learning. For example, in Q-learning, a general update formula (action value table) of an action value function Q(s, a) is expressed as Formula (1) below. [Formula 1]In formula (1), s t represents the environment at time t and a t represents the action at time t. The action a t changes the environment to s t+1. Further, r t+1 represents the reward obtained by this change in environment, γ represents the discount factor, and α represents the learning rate. Note that γ has a range of 0<γ≤1, and α has a range of 0<α≤1. When using the Q learning, the determination of the timing for starting the mist spraying and the amount of mist to be sprayed corresponds to the action a t.The update formula expressed by Formula (1) increases the action value Q when the action value of the best action a t+1 at time t+1is larger than the action value Q of the action a t, performed at time t, and otherwise decreases the action value Q. In other words, the action value function Q(s, a) is updated to bring the action value Q of the action a t, at time t closer to the best action value at time t+1. This causes the best action value in a particular environment to be sequentially transferred to the action values in the environment before that time.Specifically, the learning unit 82 includes a reward calculation unit 821 and a function update unit 822.The reward calculation unit 821 calculates the reward based on a state variable. Specifically, the reward calculation unit 821 calculates the reward r based on the stay time data. The reward calculation unit 821 increases the reward r (for example, gives a reward of "1") when, for example, the stay time of people at the Begrünungsbeschattungsinstallationsort has increased. The term "the stay time of humans increases" means that the stay time is longer than the previous average stay time of users of a welcoming shade, for example. Alternatively, when the stay time of people at the Begrünungsbeschattungsinstallationsort has decreased, the reward calculation unit 821 decreases the reward r (for example, gives a reward of "-1").The function update unit 822 updates the function for determining the timing for starting spraying mist and the amount of mist to be sprayed according to the reward calculated by the reward calculation unit 821. For example, in Q learning, the action value function Q(s t, a t), which is expressed by Formula (1), is used as the function for calculating the fog operation state.The learned model generated by the learning unit 82 through training with the above-mentioned learning data receives the human density prediction data, the air temperature prediction data, the wind prediction data, the actual environment data, and the human density situation data described above, and outputs the mist operation state, i.e., the timing for starting the mist spraying and the amount of the mist to be sprayed.The cooling island control device 4 will be described next. The island cooling control device 4 according to the second embodiment includes a Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 ashown in FIG. 13 instead of the Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 of the island cooling control device 4 according to the first embodiment. Note that FIG. 13 is a diagram illustrating an example configuration of the Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 aincluded in the cooling island control device 4 according to the second embodiment.Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 aincludes a machine learning device 90. The machine learning device 90 includes a state observation unit 91 and a learning unit 92.Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41a assists the decision making of the design staff of the cooling island system with respect to the installation locations and the number of the welcoming shading installations using a result of the reinforcement learning performed by machine learning device 90.Learning data input to the machine learning device 90 when the machine learning device 90 is to be performed includes data of the installation location of each of the plurality of welcoming shading systems 1, city planning data, the operation state data of each of the plurality of welcoming shading systems 1, the human density prediction data of each of the plurality of welcoming shading systems 1, the air temperature prediction data of each of the plurality of welcoming shading systems 1, the wind prediction data of each of the plurality of welcoming shading systems 1, heat island situation data, the actual environment data of each of the plurality of welcoming shading systems 1, the human density situation data of each of the plurality of welcoming shading systems 1, and the stay time data of each of the plurality of welcoming shading systems 1.Among the data included in the learning data to be input to the machine learning device 90, the operation state data, the human density prediction data, the air temperature prediction data, the wind prediction data, the actual environment data, the human density situation data, and the stay time data are data similar to the operation state data, the human density prediction data, the air temperature prediction data, the wind prediction data, the actual environment data, the human density situation data, and the stay time data included in the above-described learning data input to the machine learning device 80.The city planning data is data representing an arrangement of buildings in an area, for example, which building is located at which location in the area where the welcoming shading is installed.The heater island situation data is data representing the air temperature at each applicable location in the area where the welcoming shade is installed.The machine learning device 90 receives the aforementioned learning data, and then learns relationships between the pieces of data included in the learning data. Next, the operation of the individual components when the machine learning device 90 performs learning will be described.The state observation unit 91 monitors, as state variables, the above-described installation location data of each welcoming shading, city planning data, operation state data, human density prediction data, air temperature prediction data, wind prediction data, heater island situation data, actual environment data, human density situation data, and stay time.The learning unit 92 learns, on the basis of a data set generated on the basis of the state variables observed by the state observation unit 91, a location where installation of a welcoming shading is advantageous. The location where installing a welcoming shade is advantageous includes a location where installing a welcoming shade allows the air temperature to fall below the ambient temperature and to wake a wind.The learning unit 92 of the machine learning device 90 includes a reward calculation unit 921 and a function update unit 922. The learning unit 92 performs machine learning by an operation similar to the aforementioned operation of the learning unit 82 of the machine learning device 80. That is, the learning unit 92 of the machine learning device 90 differs from the learning unit 82 of the machine learning device 80 in the structure of the learning data used. Note that the method used by the reward calculation unit 921 of the reward calculation unit 92 for calculating the reward is different from the method used by the reward calculation unit 821 of the reward calculation unit 82. For example, the reward calculation unit 921 increases the reward r when the installation of a welcoming shading has caused the air temperature in the area to reach a target value, and decreases the reward r when the target value has not been reached.Note that the present embodiment has been described with respect to the case of using reinforcement learning as the learning algorithm used by the learning unit, but the learning algorithm is not limited thereto. As far as the learning algorithm is concerned, supervised learning, unsupervised learning, semi-supervised learning, or the like may be used instead of the reinforcement learning.The aforementioned learning algorithm may also be deep learning that learns extraction of a feature amount per se, and machine learning may possibly be performed using a known method, for example, neural network, genetic programming, functional logic programming, support vector machine, or the like.In addition, the machine learning device 80 is used to learn the timing for starting spraying mist performed by the spraying unit 16 of the welcoming shading unit 10 under the control of the mist control unit 26 aof the surrounding control device 20, but the machine learning device 80 may be configured to be disposed outside the mist control unit 26 a. Furthermore, the machine learning device 80 may be configured to be connected to the surrounding control device 20 via a network, i.e., a device implementing the fog control unit 26 a, and the machine learning device 80 may be separate devices. In addition, the machine learning device 80 may be installed in a cloud server.Further, the machine learning device 80 may learn the fog operating state based on a dataset generated for a plurality of environmental control devices 20. Note that the machine learning device 80 may obtain data sets from a plurality of environmental control devices 20 used at a single location, or may learn the fog operation state using data sets acquired from a plurality of environmental control devices 20 operating independently at different locations. Further, an environment controller 20 for obtaining a dataset may be added to or, on the contrary, removed from a group of dataset acquisition sources during operation. Further, a machine learning device 80 that has learned the fog operating states for a particular environmental control device 20 may be connected to another environmental control device 20 to cause this machine learning device 80 to re-learn and update the fog operating states for the other environmental control device 20.The machine learning device 80 included in the fog control unit 26 aof the environment control device 20 has already been described, and a similar description also applies to the machine learning device 90 included in the Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit 41 aof the island-of-cooling control device 4.As described above, the mist control unit 26 aof the welcoming shading system 1 according to the present embodiment learns the mist operation state and determines the timing for starting the spraying of mist and the amount of mist to be sprayed on the basis of a learning result. In this way, the setting of the surrounding conditions can be reliably completed before a target time. Further, the cooling island control device 4 learns the installation location of each welcoming shade and determines the installation location of each welcoming shade based on a learning result. In this way, an appropriate installation location for each welcoming shade can be efficiently determined.Third EmbodimentThe second embodiment has been described with respect to a configuration in which the fog control unit 26 aof the welcoming shading system 1 learns the fog operation state using the reinforcement learning. The present embodiment will be described with respect to a configuration in which the fog operation state is learned using supervised learning. Note that the cooling island system and the welcoming shading system according to a third embodiment are configured similarly to the first and second embodiments. The present embodiment will be described below with respect to the differences from the first and second embodiments.The environmental control device 20 according to the third embodiment includes a fog control unit 26 bshown in FIG. 14 instead of the fog control unit 26 aof the environmental control device 20 according to the second embodiment. Note that FIG. 14 is a diagram showing an example configuration of the fog control unit 26 bincluded in the environmental control device 20 according to the third embodiment.The fog control unit 26 bincludes a machine learning device 80 b. The machine learning device 80 bincludes a data acquisition unit 85, a state observation unit 86, and a learning unit 87.The fog control unit 26 bcontrols the environment of the environment control region using a supervised learning result performed by the machine learning device 80 b. Specifically, the fog control unit 26 bdetermines the fog operation state based on a result of machine learning, similarly to the fog control unit 26 adescribed in the second embodiment.Learning data input to the machine learning device 80 bwhen the machine learning device 80 bis to be performed includes the operation state data, the human density prediction data, the air temperature prediction data, the wind prediction data, the actual environment data, the human density situation data, and the stay time data described in the second embodiment, and the environment state evaluation data made by the user of the welcoming shading (hereinafter referred to as user evaluation data).The user evaluation data is data representing, for example, a result of evaluating the refreshing feeling felt by the user. The user evaluation data is acquired using the user terminal 5 or by filling a question sheet by a user using the welcoming shading, for example.The machine learning device 80 binputs the aforementioned learning data, and then learns relationships between the pieces of data included in the learning data. The operation of each component when the machine learning device 80 bperforms learning will be described below.The data acquisition unit 85 acquires the stay time data and the above-described user evaluation data as decision data.The state observation unit 86 observes the operation state data, the human density prediction data, the air temperature prediction data, the wind prediction data, the actual environment data, and the above-described human density situation data as state variables.The learning unit 87 learns the mist operation state (the timing for starting mist spraying and the amount of mist to be sprayed) based on a data set generated based on a combination of the state variables observed by the state observation unit 86 and the decision data included by the data acquisition unit 85. In this operation, the data set is a data set that associates the state variable and the decision data with each other.The learning unit 87 learns the fog operation state based on, for example, a neural network model using so-called supervised learning. In this context, supervised learning refers to a model that, when a large number of data pairs of specific inputs and results (labels) are given to a learning device, learns a feature present in these data sets and predicts a result from an input.A neural network includes an input layer made of a plurality of neurons, an intermediate layer made of a plurality of neurons (hidden layer), and an output layer made of a plurality of neurons. There may be one intermediate layer or two or more intermediate layers.For example, when a plurality of inputs are input to the input layer (X 1 to X 3), a three-layer neural network, as shown in FIG. 15, multiplies these values by a weight W 1 (w 11 to w 16), inputs the resultant products to the intermediate layer (Y 1 to Y 2), further multiplies these results by a weight W 2 (w 21 to w 26), and outputs the resultant products from the output layer (Z 1 to Z 3). These output results vary depending on the values of the weights W 1 and W 2. Note that FIG. 15 is a diagram showing an example configuration of a neural network.In the present embodiment, the neural network learns the fog operation state using the so-called supervised learning based on a data set generated based on a combination of the state variables observed by the state observation unit 86 and the decision data acquired by the data acquisition unit 85.That is, the neural network performs learning such that the weights W 1 and W 2 are set to bring the results output from the output layer closer to the decision data when the operation state data, the human density prediction data, the air temperature prediction data, the wind prediction data, the actual environment data, and the human density situation data are input to the input layer.Further, a neural network may also learn the timing to start spraying mist and the amount of mist to be sprayed through so-called unsupervised learning. Unsupervised learning is a technique for learning a device that performs compression, classification, design, and the like on input data without supplying corresponding tagged output data. This is accomplished by learning how the input data is distributed, providing only a large amount of input data to the machine learning system. Unsupervised learning, for example, enables clustering features of these data sets into groups based on similarity. By setting a certain criterion and assigning outputs to optimize the criterion using the learning result, an output can be predicted. One technique for solving a problem that lies between unsupervised and supervised learning is so-called semi-supervised learning. This corresponds to cases where only some data sets have data pairs of inputs and outputs and the other data sets have data of inputs only.Further, the machine learning device 80 bmay learn the fog operation state based on a dataset generated for a plurality of environmental control devices 20. Note that the machine learning device 80 bmay acquire data sets from a plurality of environmental control devices 20 used at a single location, or may learn the fog operation state using data sets acquired from a plurality of environmental control devices 20 operating independently at different locations. Additionally, an environment control device 20 for capturing a dataset during operation may be added to or, on the contrary, removed from a group of dataset capture sources. In addition, a machine learning device 80 bthat has learned the timing for starting spraying mist and the amount of mist to be sprayed for a certain environmental control device 20 may be connected to another environmental control device 20 to cause this machine learning device 80 bto re-learn and update the mist operation states for the other environmental control device 20.As described above, the mist control unit 26 bof the welcoming shading system 1 according to the present embodiment performs supervised learning on the mist operation state and determines the timing for starting spraying mist and the amount of mist to be sprayed on the basis of a learning result. The welcoming shading system 1 according to the present embodiment can provide an advantage similar to the advantage of the welcoming shading system 1 according to the second embodiment.Note that the shading frame 11 of the gull shading unit 10 described in the first embodiment may have a variety of shapes and arrangements. In particular, there may be variations in the ceiling design, including a flat design, a corrugated design and a triangular roof, as well as variations in the side surface. The area of attachment of the passion flower bush 12 can be enlarged by the design of the ceiling design and by the attachment of plants to the side surface, which in turn can increase the intensity of the cooling by the heat of evaporation of the passion flower bush 12 and thus the cooling effect in the welcoming shading. Further, the attachment of the passion flower bush 12 to the side surface can reduce the leakage of the air cooled in the shadow.There may also be variations for the passion flower bush 12 included in the welcom shading unit 10, including the use of a plant other than that of the passion flower bush 12. In short, instead of the plant of the passion flower bush 12, a plant which does not die by boiling water, for example, even when the plant is cast in an environment of high air temperatures such as summer day, may be used.The installation position of the pipeline of the mist unit 13 of the welcoming shading unit 10 can also vary. Specifically, for example, the pipe may be installed above the welcoming shade, the pipe may be installed below the welcoming shade (in this case, the mist is sprayed from below), or the pipe may be installed inside the welcoming shade (in this case, the mist is sprayed from inside the welcoming shade to cause evaporation by more natural evaporation). The selection of these variations depends on the ambient temperature, such as in the summer.Other variations with respect to the welcoming shading unit 10 include variations in lighting control, variations in air curtain, and variations in dry mist.There are variations of lighting control with respect to providing various types of interior lighting control to support the growth of passion flower bush 12.There are variations of the air curtain with respect to the installation of an air curtain for maintaining the temperature inside the gull shade.There are variations of dry mist with respect to the use of dry mist to increase the cooling effect by the generation of negative ions inside the gull shade.There are also various variations of the user terminal 5 with respect to the individual applications offered as the user application 51. Detailed examples thereof are a travel guidance service for summer freshner and an electronic trading service (sale of passion flowers, greens, tables, etc.). As the user application 51, various service applications provided for the systems of the first to third embodiments may be installed.In another embodiment, the spraying of fog may be adjusted based on a human density situation such that an image capturing unit such as a camera is installed in the welcoming shading unit 10 to capture information on the situation of the human density in the welcoming shading, and the fog control unit 26 then recognizes the situation of the human density based on the image captured by the image capturing unit. Specifically, the fog control unit 26 may predict a temperature rise in the welcoming shading and predict the situation of temperature exchange between inside and outside the welcoming shading caused by the movement of people, also based on the situation of the human density, and then adjust the timing for spraying fog already scheduled based on the temperature schedule and / or the like.The configurations described in the foregoing embodiments are merely examples. These configurations may be combined with a known different technology, and configurations of various embodiments may be combined with each other. Moreover, a part of the configurations may be omitted and / or modified without departing from the gist of the configurations.List of reference characters1 Welcoming shading system; 3 Data management device; 4 Cooling island control device; 5 User terminal; 6 Maintenance purpose management terminal; 7 Management terminal operated by planning personnel; 10 Welcoming shading unit; 11 Shading frame; 12 Passion blasts; 13 Mist unit; 14 Irrigation unit; 15 Pump; 16 Spray unit; 17 Mist unit faucet; 20 Environment control device; 21 Cloud interface unit; 22 Device interface unit; 23 Sensor unit; 24 Actual data acquisition unit; 25 Control unit; 26, 26a, 26b Mist control unit; 27 Irrigation control unit; 28 Mist operation time management unit; 29 Temperature plan management unit; 31, 511, 611 Interface unit; 32 Temperature change prediction unit; 33 Actual data acquisition unit; 34 Service application; 35, 612 fog operation time setting unit; 36, 613 temperature plan setting unit; 41, 41 a Begrünungsbeschattungsinstallationsortauswahlfunktionseinheit; 42 island cooling control function unit; 43 island cooling situation management unit; 44 wind data acquisition unit; 51 user application; 61 remote maintenance application; 71 Begrünungsbeschattungsinstallationsortauswahlauswertungseinheit; 72 island cooling situation checking unit; 80, 80 b, 90 machine learning device; 81, 86, 91 state observation unit; 82, 87, 92 learning unit; 85 data acquisition unit; 100 island cooling system; 341 user service; 342 remote control service; 512 welcoming shading search and state display unit; 513 hot-blast warning information display unit; 514 other function unit; 614 remote maintenance unit; 821, 921 reward calculation unit; 822, 922 Function update unit.

Claims

A welcoming shading system (1) comprising: a welcoming shading unit (10) for creating a shaded space by welcoming shading formed using a plant (12); a spraying unit (16) for converting water into mist and spraying the mist onto the plant (12); and a mist control unit (26) for controlling a spraying operation of the mist performed by the spraying unit (16) based on an air temperature of an environment control area including the shaded space and a temperature plan representing a target temperature of the environment control area in each time area.The welcoming shading system (1) according to claim 1, wherein the plant (12) is a plant of the family of passion blue wholesakes.The welcoming shading system (1) according to claim 1 or 2, wherein the mist control unit (26) controls the spraying operation based on the air temperature and humidity of the environmental control area, the temperature plan, and the growth state of the plant (12).The welcoming shading system (1) according to claim 3, wherein the growing state comprises an upper limit value for an amount of water supplied to the plant (12), and wherein the mist control unit (26) controls the spraying operation so that the amount of water converted into the mist and supplied to the plant (12) by the spraying unit (16) is maintained at or below the upper limit value.The welcoming shading system (1) according to any one of claims 1 to 4, wherein the mist control unit (26) adjusts an amount of the mist to be sprayed from the spraying unit (16) based on the illumination and a wind speed determined in the surrounding control area.The welcoming shading system (1) according to any one of claims 1 to 5, wherein the mist control unit (26) adjusts an amount of the mist to be sprayed from the spraying unit (16) based on a density of people in the environment control area.The welcoming shading system (1) according to any one of claims 1 to 6, wherein a notification of the air temperature, an air humidity, and a wind speed of the environmental control area is provided to a terminal worn by a user.The welcoming shading system (1) according to any one of claims 1 to 7, comprising: a machine learning device (80; 80b) for performing learning of a time point for starting the spraying operation based on operation state data, human density prediction data, air temperature prediction data, wind prediction data, actual environment data, and human density situation data, the operation state data representing the time point for starting the spraying operation and an amount of mist to be sprayed by the spraying operation, the human density prediction data representing a degree of the human density at a target time point at an installation location of the welcoming shading unit (10), the air temperature prediction data representing a predicted value of an air temperature at the target time point at the installation location, wherein the wind prediction data represents predicted values of a wind direction and a wind speed at the target time point at the installation site, the actual environment data represents an air temperature, an air humidity, a wind direction, and a wind speed at an actual time point at the installation site, the human density situation data represents the degree of human density at the actual time point at the installation site, and the fog control unit (26; 26a) determines a time point for starting control of the spray unit (16) using a result of learning performed by the machine learning device (80; 80b).A chiller island system (100) comprising: the welcoming shading system (1) according to any one of claims 1 to 8; and a chiller island control device (4) for controlling an operation of the welcoming shading system (1), wherein the chiller island system (100) comprises a plurality of welcoming shading systems (1), and wherein the chiller island control device (4) comprises a machine learning device (90) for performing learning of installation locations and the number of installations of the welcoming shading systems (1) based on city planning data, operating state data, human density prediction data, air temperature prediction data, wind prediction data, heat island situation data, actual environment data and human density situation data, wherein the city planning data represents an arrangement of buildings in an area, in which the welcoming shading unit (10) of each of the welcoming shading systems (1) is installed, the operation state data representing a timing for starting the spraying operation by the spraying unit (16) of each of the welcoming shading systems (1) and a mist amount to be sprayed by the spraying operation, the human density prediction data representing a degree of the human density at a target timing at an installation location of the welcoming shading unit (10) of each of the welcoming shading systems (1), the air temperature prediction data representing a predicted value of an air temperature at the target timing at the installation location of the welcoming shading unit (10) of each of the welcoming shading systems (1), wherein the wind prediction data represents predicted values of a wind direction and a wind speed at the target time point at the installation location of the welcoming shading unit (10) of each of the welcoming shading systems (1), the thermal island situation data representing air temperatures at respective locations in the area where the welcoming shading unit (10) of each of the welcoming shading systems (1) is installed, the actual environment data representing an air temperature, an air humidity, a wind direction and a wind speed at an actual time point at the installation location of the welcoming shading unit (10) of each of the welcoming shading systems (1), and wherein the human density situation data represents the degree of human density at the actual time at the installation location of the welcom shading unit (10) of each of the welcom shading systems (1), and supports the determination of the installation locations and the number of installations of the welcom shading systems (1) using a result of the learning performed by the machine learning device (90).A cooling island system (100) comprising: a plurality of welcoming shading systems (1) each generating a shaded space by welcoming shading formed using a plant (12), the welcoming shading systems (1) each having functionality for spraying atomized water onto the plant (12); and a cooling island control device (4) for controlling an operation of the welcoming shading systems (1), the welcoming shading systems (1) each being the welcoming shading system (1) according to any one of claims 1 to 8, wherein the cooling island control device (4) instructs each of the plurality of welcoming shading systems (1) to change the temperature plan to be used by the mist control unit (26) upon control of the spraying operation of the mist, to cause the mist control unit (26) to control the spray operation of the mist based on the temperature map resulting from the changing, causing air cooled by vaporization heat resulting from humidification of branches and leaves of the plant (12) to move toward the heated air, and causing the air to move through an opening of the welcom shading by the installation of a plurality of welcom shading systems (1) to cause a wind to sweep through an opening of the welcom shading.

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