Apparatus and method for predicting temperature change amount of target area

Abstract

To prevent the drive of an unnecessary air conditioner and minimize the power consumption of the air conditioner, a temperature change amount prediction device and method that accurately predict the temperature change amount of a target area are provided. 【Solution means】 It is performed by a device on a processor board, and includes a step of collecting a plurality of base information, and a step of calculating base relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area based on the plurality of base information. Each of the plurality of base information is information on the temperature change amount of the target area due to the indoor-outdoor temperature difference of the target area in a late-night time period. The late-night time period is set based on at least one of the activity schedule information of the target area, the sunrise time, and the sunset time. The late-night time period is a time period between a first time point and a second time point. The first time point corresponds to the later time point among the end time of the activity time of the target area and the sunset time. The second time point corresponds to the earlier time point among the start time of the activity time of the target area and the sunrise time. The late-night time period is characterized by starting at a time when a predetermined time has elapsed after passing the first time point.

Description

Technical Field

[0001] The present invention relates to an apparatus and a method for predicting a temperature change amount of a target area, and more particularly, to an apparatus and a method for predicting a temperature change amount of a target area used for controlling the driving of a heating and cooling device in the target area.

Background Art

[0002] A heating and cooling device (or air conditioner) is a device that comfortably maintains the indoor temperature suitable for human activities using a refrigeration cycle. The heating and cooling device cools the room by inhaling the hot air in the room, exchanging heat with a low-temperature refrigerant, and then discharging this into the room, or warms the room by the opposite action. Generally, the driving of a heating and cooling device is controlled by a direct operation of a person. As an example, in summer, when the indoor temperature is high, the user turns on the heating and cooling device and sets the desired temperature of the turned-on heating and cooling device low to quickly reduce the high indoor temperature. On the other hand, many users are located in spaces such as a cafeteria, a café, and an office, and generally, the manager of the space directly controls the driving of the heating and cooling device. However, there is a problem that the heating and cooling device is not efficiently driven due to the ignorance or indifference of the manager.

[0003] As an example, in summer, when the manager sets the desired temperature of the heating and cooling device high, the user may feel hot, and when the manager sets the desired temperature of the heating and cooling device low, the user may feel cold. As a result, the user feels inconvenience. Further, when the desired temperature of the heating and cooling device is set low in summer, there is a problem that the power consumption of the heating and cooling device increases, thereby increasing the electricity cost of the space. Therefore, a technology is required to efficiently drive the heating and cooling device without the manager directly operating the heating and cooling device.

Summary of the Invention

Problems to be Solved by the Invention

[0004] An object of the present invention is to provide a temperature change amount prediction device and method that accurately predict the temperature change amount of a target area in order to prevent the unnecessary driving of an air conditioner and minimize the power consumption of the air conditioner. Another object of the present invention is to provide a temperature change amount prediction device and method that calculate the base relationship information of a target area used for predicting the temperature change amount of the target area. The object of the present invention is not limited to the objects mentioned above, and other objects and advantages of the present invention that are not mentioned can be understood from the following description, and can be more clearly understood by the embodiments of the present invention. Also, it can be easily understood that the objects and advantages of the present invention can be realized by the means and combinations thereof shown in the claims.

Means for Solving the Problems

[0005] The method for predicting the temperature change amount of a target area according to the present invention includes a step of collecting a plurality of base information, and a step of calculating base relationship information between the indoor and outdoor temperature difference of the target area and the temperature change amount of the target area based on the plurality of base information. Each of the plurality of base information is information on the temperature change amount of the target area due to the indoor and outdoor temperature difference of the target area in a late-night time period, and the late-night time period is set based on at least one of the activity schedule information, sunrise time, and sunset time of the target area. The temperature change amount prediction device for a target area according to the present invention includes a memory that stores computer-readable instructions, and a processor embodied to execute the instructions. The processor collects a plurality of base information, calculates base relationship information between the indoor and outdoor temperature difference of the target area and the temperature change amount of the target area based on the plurality of base information. Each of the plurality of base information is information on the temperature change amount of the target area due to the indoor and outdoor temperature difference of the target area in a late-night time period, and the late-night time period is set based on at least one of the activity schedule information, sunrise time, and sunset time of the target area.

Effects of the Invention

[0006] According to the present invention, by accurately predicting the amount of temperature change in the target area based on the information on the amount of temperature change in the target area due to the indoor-outdoor temperature difference collected during the late-night time period, the driving of unnecessary air conditioners can be prevented, and the power consumption of the air conditioners can be minimized. Further, according to the present invention, by calculating the basic relationship information between the indoor-outdoor temperature difference in the target area reflecting the basic heat characteristic parameters and the amount of temperature change in the target area, the amount of temperature change in the target area can be accurately predicted while reflecting the unique heat characteristics of the target area. Also, the effects of the present invention are not limited to the above-described effects, and it should be understood that the effects include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

Brief Description of the Drawings

[0007]

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Modes for Carrying Out the Invention

[0008] The present invention can be subjected to various modifications and can have various embodiments. Here, specific embodiments will be illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that all modifications, equivalents, or alternatives included in the spirit and technical scope of the present invention are included. Similar reference numerals have been used for similar components while explaining each drawing. Terms such as "first", "second", etc. can be used to describe various components, but the components should not be limited by these terms. These terms are only used for the purpose of distinguishing one component from another. The term "and / or" includes a combination of a plurality of relatedly described items or any one of the plurality of relatedly described items.

[0009] When it is mentioned that a certain component is "connected to" or "coupled to" another component, it should be understood that it may be directly connected or coupled to the other component, but there may also be another component in between. On the other hand, when it is mentioned that a certain component is "directly connected to" or "directly coupled to" another component, it should be understood that there is no other component in between. The terms used in this specification are only used for explaining specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0010] Unless otherwise defined, all terms used herein, including technical and scientific terms, shall have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries shall be interpreted as having a meaning consistent with the meaning in the context of the relevant art and shall not be interpreted in an idealized or overly formal sense unless clearly defined otherwise in this application.

[0011] Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. FIG. 1 is a diagram showing a schematic configuration of space 1 of the present invention. As shown in FIG. 1, space 1 includes a plurality of areas 10a, 10b, 10c, and 10d. The plurality of areas 10a, 10b, 10c, and 10d can be partitioned from each other by an inner wall. By being partitioned by the inner wall, the indoor temperature and humidity of each of the plurality of areas 10a, 10b, 10c, and 10d can be different from each other. In each of the plurality of areas 10a, 10b, 10c, and 10d, an air conditioner 20, a temperature and humidity sensor 30, and a control module 40 can be installed respectively. Also, a gateway 50 can be installed in at least a part of the plurality of areas 10a, 10b, 10c, and 10d, i.e., area 10b. On the other hand, although not shown in FIG. 1, an access point 60 (see FIG. 2) can be further installed in a specific area among the plurality of areas 10a, 10b, 10c, and 10d.

[0012] Hereinafter, the present invention will be described by assuming that area 10b where the gateway 50 is installed is the target area 10. However, the present invention is not limited thereto, and the content of the present invention described below can be applied to all of the plurality of areas 10a, 10b, 10c, and 10d. FIG. 2 is a diagram showing a schematic configuration of the air conditioning control system 2 of the present invention. As shown in FIG. 2, the air conditioning control system 2 includes a temperature and humidity sensor 30, a control module 40, a gateway 50, an access point 60, and a management server 70. The temperature and humidity sensor 30 can measure the indoor temperature and humidity of the target area 10. For this purpose, the temperature and humidity sensor 30 can include a temperature sensor module and a humidity sensor module. The temperature and humidity sensor 30 can be installed at a position where it can measure the temperature and humidity of the area where people mainly move, but is not limited thereto, and the temperature and humidity sensor 30 can also be built into the air conditioner 20. The temperature and humidity sensor 30 can communicate with other electronic devices within the target area 10. For this purpose, the temperature and humidity sensor 30 can include a short-range communication module. As an example, the temperature and humidity sensor 30 can be provided with a Bluetooth (registered trademark) communication module, but the present invention is not limited thereto.

[0013] The control module 40 can be a device that transfers a drive control signal for controlling the drive of the air conditioner 20 to the air conditioner 20. The control module 40 can be installed in a specific part of the target area 10 adjacent to the air conditioner 20. As will be described later, the drive control signal can be generated by the management server 70 and transferred from the management server 70 to the control module 40 via the access point 60 and the gateway 50. For this purpose, the control module 40 can include a short-range communication module and an infrared data association (IrDA) module. As an example, the control module 40 can be provided with a Bluetooth (registered trademark) communication module, but the present invention is not limited thereto.

[0014] The gateway 50 can communicate with the temperature and humidity sensor 30, the control module 40, and the access point 60 respectively. For this purpose, the gateway 50 can include a first short-range communication module for communication connection with the temperature and humidity sensor 30 and the control module 40, and a second short-range communication module for communication connection with the access point 60. As an example, the first short-range communication module can be a Bluetooth (registered trademark) communication module, and the second short-range communication module can be a WiFi (Wireless Fidelity) communication module, but the present invention is not limited thereto. After receiving the indoor temperature and humidity information from the temperature and humidity sensor 30, the gateway 50 can transfer it to the access point 60. Further, after receiving the drive control signal of the air conditioner 20 described later from the access point 60, the gateway 50 can transfer it to the control module 40. Also, the gateway 50 can receive the drive-related data of the air conditioner 20 from the control module 40.

[0015] The access point 60 can relay the communication between the gateway 50 and the management server 70. For this purpose, the access point 60 can include a second short-range communication module and a long-range communication module. The management server 70 can be a device that actually controls the air conditioner 20. The management server 70 can be communicatively connected to the access point 60 and the weather server 80. The management server 70 can receive the indoor temperature and humidity information of the target area 10 from the access point 60, and can receive the weather information of the target area 10 from the weather server 80. The management server 70 can generate a drive control signal for the air conditioner 20 using the indoor temperature and humidity information and the weather information of the target area 10, and can transfer the drive control signal to the access point 60. The weather server 80 can be a server that provides weather information (meteorological information) by administrative region. The weather information can be predicted information. The weather information can include outdoor temperature, cloud cover, precipitation probability, humidity, etc. On the other hand, the cloud cover can correspond to the solar radiation amount (that is, the amount of sunlight).

[0016] Hereinafter, the management server 70 will be described in more detail. FIG. 3 is a diagram showing a schematic configuration of the management server 70 of the present invention. As shown in FIG. 3, the management server 70 can include a communication unit 710, a control unit 720, and a storage unit 730. Hereinafter, the functions of each component will be described in detail. The communication unit 710 can be a module that communicates with the access point 60 and the weather server 80. As an example, the communication unit 710 can include a long-distance communication module implemented by wired or wireless means, but the present invention is not limited thereto. As described above, the communication unit 710 can receive the indoor temperature and humidity information measured by the temperature and humidity sensor 30, and can receive the weather information of the target area 10 provided from the weather server 80. The control unit 720 can include a memory and a processor. The memory can be a volatile and / or non-volatile memory, and can store instruction words or data related to at least one other component of the management server 70. The processor can include one or more of a central processing unit (CPU), an application processor, or a communication processor.

[0017] The control unit 720 can control the communication unit 710 and can generate a drive control signal for the air conditioner 20. The drive control signal can be generated based on the indoor temperature and humidity information of the target area 10 and the weather information of the target area 10. In order to generate the drive control signal, the control unit 720 can calculate processing information using the above information. The control unit 720 can also generate the processing information in real time at the time of control when trying to control the air conditioner 20, or can generate the processing information in advance before the control time. Here, the control time can correspond to the prediction time of the temperature change amount of the target area 10. The storage unit 730 can store various information related to the drive control of the air conditioner 20. On the one hand, as described later, the temperature change amount of the target area 10 can be predicted in order to generate a drive control signal. That is, the management server 70 can correspond to a device that predicts the temperature change amount of the target area 10.

[0018] Hereinafter, the concept of the thermal characteristics of the target area 10 that affects the indoor temperature of the target area 10 will be first explained, and further, an embodiment of predicting the temperature change amount of the target area 10 and controlling the drive of the air conditioner 20 will be described. 1. Thermal characteristics of the target area 10 The thermal characteristics of the target area 10 can be defined as the influence exerted by the internal and external environmental changes of the target area 10 on the indoor temperature change of the target area 10. The thermal characteristics of the target area 10 can generally differ from those of other areas. The thermal characteristics of the target area 10 can be defined by a plurality of thermal characteristic parameters. According to an embodiment, the plurality of thermal characteristic parameters can include at least one of sunlight, human body, power consumption device, infiltration, ventilation, and wall. Sunlight is the light that naturally irradiates the target area 10 through a window or the like provided in the target area 10 without the intention of the user. As the inflow amount of sunlight into the target area 10 (that is, the solar radiation amount) increases, the indoor temperature of the target area 10 can increase.

[0019] On the other hand, the inflow amount of sunlight can be related to the cloud amount. As the cloud amount increases, the inflow amount of sunlight can decrease, and as the cloud amount decreases, the inflow amount of sunlight can increase. As an example, the cloud amount can be expressed in nine levels. In the case of a very sunny day, the cloud amount is at level 0 (that is, the cloud amount is the minimum) and the inflow amount of sunlight is the maximum. Also, in the case of a very cloudy day, the cloud amount is at level 8 (that is, the cloud amount is the maximum) and the inflow amount of sunlight is the minimum. The human body is the user located in the target area 10 and is a natural heat-emitting body that discharges heat. As the number of users located in the target area 10 increases, the indoor temperature of the target area 10 can increase. The power consumption device is an electrical / electronic device that uses power to perform a specific operation, and heat is released when the power consumption device is driven. As an example, the power consumption device can be a lighting fixture, a PC (Personal Computer), a refrigerator, a water purifier, a TV, a humidifier, an air purifier, a dishwasher, etc. At this time, the air conditioner 20 is defined as being excluded from the power consumption devices. In particular, the lighting fixture is a device that emits light to the target area 10 according to the user's intention, and a relatively large amount of heat can be released from the lighting fixture when the light is emitted.

[0020] On the other hand, power consumption devices such as refrigerators and water purifiers can be turned on constantly without being turned off in the target area 10 and release heat. Therefore, a power consumption device that is constantly turned on is defined as a "base power consumption device", and a power consumption device that is turned on only during a specific time interval (for example, the activity time of the target area 10 described later) and turned off outside the specific time interval is defined as a "non-base power consumption device". Air infiltration is the outside air that flows into the target area 10 through gaps in windows or doors, etc. That is, air infiltration is the outside air that naturally flows into the target area 10 without the user's intention. As an example, in summer, the indoor temperature of the target area 10 can increase as more air infiltration flows in, and in winter, the indoor temperature of the target area 1 is reduced as more air infiltration flows in. Ventilation is the outside air that flows into the target area 10 by opening windows, driving ventilation devices, etc. That is, ventilation can be the air exchange between the inside air and the outside air of the target area 10 according to the user's intention. Similar to air infiltration, in summer, the indoor temperature of the target area 10 can increase as more ventilation is performed, and in winter, the indoor temperature of the target area 10 can decrease as more ventilation is performed.

[0021] The wall structure includes doors, windows, walls, etc. The heat inside the target area 10 can flow out to the outside of the target area 10 in the form of radiation / convection / conduction through the wall structure, and the heat outside the target area 10 can flow into the inside of the target area 10 by radiation / convection / conduction through the wall structure. On the one hand, the target area 10 can be an area where a specific activity is carried out. As an example, the target area 10 can be an office where office activities are carried out, a café where service activities are carried out, a cafeteria, etc. Also, an activity schedule or preset activity hours are set for the target area 10. As an example, office hours can be set for the office, and service hours can be set for the café, cafeteria, etc. The activity hours can be defined to further include the time for preparing the activity.

[0022] At this time, when the activity hours of the target area 10 end, all users who carry out activities in the target area 10 can leave the target area 10, and non-base power-consuming devices, especially lighting devices, can be turned off, and ventilation may not be carried out. Also, during late-night hours, sunlight does not flow into the target area 10, and all the heat stored in the wall structure can be released due to the thermal inertia of the wall structure. That is, the indoor temperature of the target area 10 during late-night hours may not be affected by at least one of the heat from sunlight passing through the target area 10, the heat released from the human body located in the target area 10, the heat released from non-base power-consuming devices turned off during late-night hours, and the heat from the inflow of outside air into the target area due to ventilation. However, the indoor temperature of the target area 10 during late-night hours may be affected by the heat released by the driving of the base power-consuming device, the heat from the inflow of outside air due to infiltration, and the heat related to the wall structure. That is, the base power-consuming device, infiltration, and wall structure can be defined as base heat characteristic parameters among the heat characteristic parameters, and the base heat characteristic parameters can always affect the indoor temperature of the target area 10 in all time periods. Also, sunlight, the human body, non-base power-consuming devices, and ventilation can be defined as non-base heat characteristic parameters among the heat characteristic parameters, and the non-base heat characteristic parameters may not affect the indoor temperature of the target area 10 during late-night hours.

[0023] 2. Drive control of the air conditioner 20 based on prediction of the temperature change amount of the target area 10 FIG. 4 is a diagram showing an overall flowchart of a driving control method for an air conditioner according to the present invention. The driving control method of the air conditioner can be performed by the management server 70 described above. Hereinafter, the processes performed for each stage will be described in detail. First, in step (S10), information for controlling the driving of the air conditioner 20 can be collected or calculated. According to an embodiment, the information for controlling the driving described above can include collected information and calculated information. The collected information can include basic information and intermediate information, and the calculated information can include basic relationship information and intermediate relationship information. The basic information can be information on the temperature change amount of the target area 10 due to the indoor-outdoor temperature difference in a preset late-night time period. The indoor-outdoor temperature difference of the target area 10 can correspond to the subtraction value (T o -T i ) between the outdoor temperature and the indoor temperature of the target area 10. At this time, the outdoor temperature of the target area 10 can be collected from the meteorological server 80, and the indoor temperature of the target area 10 can be measured by the temperature and humidity sensor 30.

[0024] As described above, the indoor temperature of the target area 10 can be measured by the temperature and humidity sensor 30. At this time, when a plurality of temperature and humidity sensors 30 are installed in the target area 10, the indoor temperature of the target area 10 can be the average value of the indoor temperatures measured by the plurality of temperature and humidity sensors 30. The temperature change amount of the target area 10 can be defined as the temperature change amount per unit time of the target area 10. As an example, the unit time can be 1 hour, but the present invention is not limited thereto. The late-night time period can be set based on at least one of the activity schedule information, sunrise time, and sunset time of the target area 10. According to an embodiment, the late-night time period can be a time period between a first time point and a second time point. The second time point can occur after the first time point. At this time, the first time point can correspond to the later time point of the end time of the activity time of the target area 10 and the sunset time, and the second time point can correspond to the earlier time point of the start time of the activity time of the target area 10 and the sunrise time.

[0025] As an example, when the target area 10 is an office, the activity time of the office is from 9:00 to 18:00, the sunset time is 19:50, and the sunrise time (i.e., the sunrise time of the next day) is 5:10, the first time point can be 19:50 (sunset time), and the second time point can be 5:10 (sunrise time). As another example, when the target area 10 is a café, the activity time of the café is from 7:00 to 20:00, the sunset time is 17:31, and the sunrise time is 7:50, the first time point can be 20:00 (end time of the activity time), and the second time point can be 7:00 (start time of the activity time). Also, the late-night time period can be a time period after a predetermined time has elapsed after the activity time of the target area 10 has ended. The late-night time period can start at a time when a predetermined time has elapsed after passing the first time point. At this time, all the heat and the like stored in the wall structure can be released within the predetermined time. As an example, the length of the predetermined time can be 40 minutes, but the present invention is not limited thereto.

[0026] The base information can be collected at a preset cycle during the late-night time period. As an example, when the length of the late-night time period is 1 hour, the base information can be collected in units of 10 minutes. Base information can be collected in the late-night time period of at least one day before the above-described control time point. That is, a plurality of base information can be collected on at least one day before the control time point. At this time, at least one day can include the target day including the control time point. That is, base information can also be collected in the late-night time period of the target day. That is, the at least one day can be a day earlier than the control time point. At least one day can be set as the day immediately before the control time point. As an example, at least one day can be "10 days", but the present invention is not limited thereto. On the other hand, the base information can include off-base information and on-base information.

[0027] The off-base information can be information on the amount of temperature change in the target area 10 due to the indoor-outdoor temperature difference in the target area 10 when the air conditioner 20 is turned off in the late-night time period. The on-base information can be information on the amount of temperature change in the target area 10 due to the indoor-outdoor temperature difference in the target area 10 when the air conditioner 20 is turned on in the late-night time period. At this time, in order to collect the on-base information, the air conditioner 20 can be turned on at a preset default desired temperature. As an example, the default desired temperature can be the desired temperature of the most frequently used air conditioner 20 (for example, 24°C in the cooling mode), but the present invention is not limited thereto. The at least one day on which the off-base information is collected and the at least one day on which the on-base information is collected can be different from each other. That is, there may be a day when the off-base information is collected but the on-base information is not collected, and there may be a day when the on-base information is collected but the off-base information is not collected.

[0028] In short, the base information is information collected during the late-night time period, which can be information that does not reflect the influence of non-base heat characteristic parameters (i.e., human body, non-base power consumption devices, and ventilation) on the indoor temperature of the target area 10, but only reflects the influence of base heat characteristic parameters (i.e., base power consumption devices, infiltration, and wall structures). That is, the base information can be information about the unique heat characteristics of the target area 10. The base relationship information can be defined as the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 during late-night hours. The base relationship information can be set by the plurality of base information described above.

[0029] On the other hand, similar to the above-described, the base relationship information can include off-base relationship information and on-base relationship information. The off-base relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the air conditioner 20 is turned off during late-night hours. The on-base relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the air conditioner 20 is turned on during late-night hours. According to an embodiment, the base relationship information can be expressed by a trend line for a plurality of base information and a corresponding base relationship function formula. According to an embodiment, the trend line can be a polynomial trend line, and particularly a quadratic polynomial trend line. That is, the base relationship information can correspond to a base relationship polynomial function formula that outputs the temperature change amount of the target area 10 using the indoor-outdoor temperature difference of the target area 10 as a variable. At this time, the base relationship information can be separately set in the cooling mode and the heating mode of the air conditioner 20.

[0030] FIG. 5 shows an example of a trend line based on a plurality of base information, that is, a base relationship polynomial function formula. At this time, FIG. 5a shows the base relationship polynomial function formula for the cooling mode, and FIG. 5b shows the base relationship polynomial function formula for the heating mode. According to an embodiment, in each of the cooling mode and the heating mode, the function value of the base relationship polynomial can be expressed as in the following mathematical formula 1.

[0031]

Number

[0032] Here, △T D(o-i) is the indoor-outdoor temperature difference of the target area 10, f(△T D(o-i) ) is the amount of temperature change of the target area 10, a and b are the coefficients of the variable terms defined by the thermal characteristic parameters of the target area 10, and c is the constant term defined by the thermal characteristic parameters of the target area 10, respectively.

[0033] In short, the base relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the amount of temperature change of the target area 10 that reflects the base thermal characteristic parameters of the target area 10, and can include the off-base relationship information when the air conditioner 20 is turned off and the on-base relationship information when the air conditioner 20 is turned on. At this time, the influence related to the non-base thermal characteristic parameters is not included in the base relationship information. That is, the base relationship information can be the relationship information that reflects the unique thermal characteristics of the target area 10. The intermediate information can be the information on the amount of temperature change of the target area 10 due to the indoor-outdoor temperature difference of the target area 10 during the activity time.

[0034] On the other hand, similar to the above-mentioned situation, the intermediate information can include off-intermediate information and on-intermediate information. The off-intermediate information can be the information on the amount of temperature change of the target area 10 due to the indoor-outdoor temperature difference of the target area 10 when the air conditioner 20 is turned off during the activity time. The on-intermediate information can be the information on the amount of temperature change of the target area 10 due to the indoor-outdoor temperature difference of the target area 10 when the air conditioner 20 is turned on during the activity time. At this time, in order to collect the on-intermediate information, the air conditioner 20 can be turned on at a preset default desired temperature. The day when the off-intermediate information is collected and the day when the on-intermediate information is collected can be different from each other.

[0035] The intermediate information can be collected in a specific time period of the activity time of the day before the above-mentioned control time point. The previous day can be at least one. That is, at least one intermediate information can be collected on the day before the control time point. At this time, the previous day can also include the target day including the control time point. That is, the intermediate information can also be collected during the activity time of the target day. That is, the previous day can be a day earlier than the control time point. According to an embodiment, each of the plurality of intermediate information can include a plurality of first intermediate information and a plurality of second intermediate information. Each of the plurality of first intermediate information can be information on the amount of temperature change of the target area 10 due to the indoor-outdoor temperature difference of the target area 10 during the activity time of the day with the maximum cloud amount before the control time point. Here, "the cloud amount is the maximum" can correspond to "a very cloudy day", "cloud amount level 8" or "the minimum sunlight amount". Each of the plurality of second intermediate information can be information on the amount of temperature change of the target area 10 due to the indoor-outdoor temperature difference of the target area 10 during the activity time of the day with the minimum cloud amount before the control time point. Here, "the cloud amount is the minimum" can correspond to "a very sunny day", "cloud amount level 0" or "the maximum sunlight amount".

[0036] In short, the intermediate information is information collected during the activity time, and can be information that reflects all the effects on the base thermal characteristic parameters (that is, the base power consumption device, infiltration and wall structure) and non-base thermal characteristic parameters (that is, sunlight, human body, non-base power consumption device and ventilation) of the indoor temperature of the target area 10. In particular, since the first intermediate information is information collected during the activity time of a very cloudy day, the influence of sunlight is not reflected. That is, the first intermediate information can be information that reflects the influence related to the human body, power consumption device, infiltration, ventilation and wall structure excluding sunlight. And since the second intermediate information is information collected during the activity time of a very sunny day, the influence of the maximum inflow of sunlight is reflected. That is, the second intermediate information can be information that reflects the influence related to the maximum inflow of sunlight, human body, power consumption device, infiltration, ventilation and wall structure. The intermediate relationship information can be defined as the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 during the activity time. The intermediate relationship information can be set by the above-mentioned plurality of intermediate information. The intermediate relationship information can be separately set in the cooling mode and the heating mode of the air conditioner 20.

[0037] On the other hand, similar to the above-mentioned situation, the intermediate relationship information can include off-intermediate relationship information and on-intermediate relationship information. The off-intermediate relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the air conditioner 20 is turned off during the activity time. The on-intermediate relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the air conditioner 20 is turned on during the activity time. According to the embodiment, the intermediate relationship information can be set by reflecting the intermediate information in the base relationship information. Therefore, the intermediate relationship information can also be expressed by an intermediate relationship polynomial formula. According to the embodiment, the intermediate relationship polynomial formula can be set by changing the constant term of the base relationship polynomial formula using the intermediate information.

[0038] Specifically, the intermediate information can be expressed as two-dimensional coordinate values, that is, (indoor-outdoor temperature difference, temperature change amount). At this time, the "indoor-outdoor temperature difference" among the coordinate values of the intermediate information is substituted into the base relationship polynomial formula to calculate the output value of the base relationship polynomial formula, and the "temperature change amount" among the coordinate values of the intermediate information is subtracted from the output value of the base relationship polynomial formula to calculate the difference value of the temperature change amount, and the difference value of the temperature change amount is added to the constant term of the base relationship polynomial formula to calculate the intermediate relationship polynomial formula. That is, the base relationship polynomial formula and the intermediate relationship polynomial formula can have a relationship where the constant terms are different and the variable terms are the same. The intermediate relationship polynomial formula can also be expressed by the above-mentioned formula 1. On the one hand, when there are multiple pieces of intermediate information, the above-described calculation process is performed for each of the multiple pieces of intermediate information to calculate the difference values of the multiple temperature change amounts, and the average value of the difference values of the multiple temperature change amounts can be added to the constant term of the base relationship polynomial formula to calculate the intermediate relationship polynomial formula.

[0039] According to the embodiment, the intermediate relationship information can include first and second intermediate relationship information. The first intermediate relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 during the activity time when the cloud amount is the largest (the sunlight inflow amount is the smallest). The first intermediate relationship information can be set by reflecting the first intermediate information in the base relationship information. In particular, the first intermediate relationship information can correspond to the first intermediate relationship polynomial formula set by changing the constant term of the base relationship polynomial formula using the first intermediate information.

[0040] In particular, as described above, since the first intermediate information reflects the human body, the power consumption device, the infiltration, the ventilation, and the wall structure but does not reflect the influence related to sunlight, the first intermediate relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 in which the human body, the power consumption device, the infiltration, the ventilation, and the wall structure are reflected and the temperature change amount of the target area 10. The second intermediate relationship information can be the relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 during the activity time when the cloud amount is the smallest (the sunlight inflow amount is the largest). The second intermediate relationship information can be set by reflecting the second intermediate information in the base relationship information. The second intermediate relationship information can correspond to the second intermediate relationship polynomial formula set by changing the constant term of the base relationship polynomial formula using the second intermediate information.

[0041] In particular, as described above, since the second intermediate information is the information in which the influence related to the sunlight with the maximum inflow amount is fully reflected together with the human body, the power consumption device, the infiltration, the ventilation, and the wall structure, the second intermediate relationship information can be the relationship information in which the sunlight with the maximum inflow amount, the human body, the power consumption device, the infiltration, the ventilation, and the wall structure are all reflected. In short, the first and second intermediate relationship information is relationship information derived from the base relationship information. The first intermediate relationship information can be relationship information in which the base relationship information further reflects the human body, non-base power consumption devices, and ventilation. The second intermediate relationship information can be relationship information in which the first intermediate relationship information further reflects the maximum inflow amount of sunlight.

[0042] Referring to FIG. 4 again, in step (S20), the indoor-outdoor temperature difference and cloud amount at the control time point can be collected. As described above, the control time point is a time point included in the target day and can be a prediction time point for predicting the temperature change amount of the target area 10. The indoor-outdoor temperature difference at the control time point can be calculated based on the indoor temperature at the control time point measured by the temperature and humidity sensor 30 and the outdoor temperature at the control time point collected from the meteorological server 80. The cloud amount at the control time point can be collected from the meteorological server 80. In step (S30), the target relationship information can be calculated by correcting the base relationship information based on the cloud amount at the control time point. Here, the target relationship information is relationship information used to predict the temperature change amount during the control period of the target area 10 after the control time point, and can be relationship information between the indoor-outdoor temperature difference of the target area 10 at the control time point and the temperature change amount of the target area 10.

[0043] On the other hand, similar to the above-described situation, the target relationship information can include off-target relationship information and on-target relationship information. The off-target relationship information can be relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the air conditioner 20 is turned off at the control time point. The on-target relationship information can be relationship information between the indoor-outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the air conditioner 20 is turned on at the control time point. On the one hand, the target relationship information can be set according to the desired temperature of the air conditioner 20. That is, as described above, the management server 70 can calculate each piece of target relationship information for the default desired temperature. However, at the control time point, the air conditioner 20 may be turned on at a desired temperature other than the default desired temperature. In this case, the management server 70 can estimate the target relationship information for the other desired temperature based on the target relationship information for the default desired temperature.

[0044] According to the embodiment, the control time point can be the disclosure time point of the control period, and the length of the control period can be a unit time (for example, 1 hour). The control period can correspond to the period for predicting the temperature change amount of the target area 10. According to the embodiment, the base relationship information can correspond to a base relationship polynomial formula, and in step (S30), the target relationship polynomial formula corresponding to the target relationship information can be calculated by changing the constant value of the base relationship polynomial formula based on the cloud amount at the control time point. Also, according to another embodiment, the target relationship information can be calculated by reflecting the cloud amount at the control time point in the first and second intermediate relationship information derived from the base relationship information. As described above, the first intermediate relationship information can be relationship information reflecting the thermal characteristic parameters of the human body, power consumption devices, infiltration, ventilation, and wall structures excluding sunlight, and the second intermediate relationship information can be relationship information reflecting all the thermal characteristic parameters of the maximum inflow of sunlight, the human body, power consumption devices, infiltration, ventilation, and wall structures. Therefore, in step (S30), the target relationship information for predicting the temperature change amount of the control period of the target area 10 can be calculated by reflecting the cloud amount at the control time point related to sunlight in the first intermediate relationship information and the second intermediate relationship information.

[0045] According to the embodiment, similar to the above, the target relationship information can correspond to a target relationship polynomial formula. At this time, the target relationship polynomial formula can be set by changing the constant term of the base relationship polynomial formula based on the first intermediate relationship polynomial formula, the second intermediate relationship polynomial formula, and the cloud amount at the control time point. Specifically, the target relational polynomial expression can have a relationship in which the constant terms are different and the variable terms are the same as those of the base relational polynomial expression, the first intermediate relational polynomial expression, and the second intermediate relational polynomial expression, respectively.

[0046] FIG. 6 shows the base relational polynomial expression, the first intermediate relational polynomial expression, the second intermediate relational polynomial expression, and the target relational polynomial expression when the air conditioner 20 of the present invention operates in the cooling mode. As shown in FIG. 6, each of the base relational polynomial expression, the first intermediate relational polynomial expression, the second intermediate relational polynomial expression, and the target relational polynomial expression can have a relationship in which the variable terms are the same and the constant terms are different. Also, as shown in FIG. 6, the constant term of the target relational polynomial expression can be a value between the constant term of the first intermediate relational polynomial expression and the constant term of the second intermediate relational polynomial expression, and the value between them can be estimated based on the cloud amount at the control time point. Here, the more cloud amount there is at the control time point, the closer the target relational polynomial expression is to the first intermediate relational polynomial expression, and the less cloud amount there is at the control time point, the closer the target relational polynomial expression is to the second intermediate relational polynomial expression.

[0047] As an example, when the cloud amount at the control time point is level 0, the target relational polynomial expression is the same as the second intermediate relational polynomial expression. Also, when the cloud amount at the control time point is level 8, the target relational polynomial expression is the same as the first intermediate relational polynomial expression. Also, when the cloud amount at the control time point is level 5, the target relational polynomial expression exists between the first intermediate relational polynomial expression and the second intermediate relational polynomial expression, and the constant term of the target relational polynomial expression corresponds to the average value of the constant term of the first intermediate relational polynomial expression and the constant term of the second intermediate relational polynomial expression. On the other hand, the on-target relationship information can be set for each desired temperature of the air conditioner 20. That is, the management server 70 can calculate the on-target relationship information for the default desired temperature, but the air conditioner 20 may be turned on at other desired temperatures that are not the default desired temperature at the control time point. In this case, the management server 70 can estimate the on-target relationship information for the other desired temperature based on the on-target relationship information for the default desired temperature.

[0048] In FIG. 7, the concept of estimating the target relationship polynomial expressions for each desired temperature based on the target relationship polynomial expression for the default desired temperature is shown. As shown in FIG. 7, the target relationship polynomial expressions for each desired temperature can have a relationship in which the constant term is changed with the target relationship information for the default desired temperature. In short, the base relationship information can be relationship information in which the base thermal characteristic parameters are reflected, the first intermediate relationship information can be relationship information in which the thermal characteristic parameters excluding sunlight among the plurality of thermal characteristic parameters are reflected, the second intermediate relationship information can be relationship information in which all the thermal characteristic parameters including the maximum inflow amount of sunlight are reflected, and the target relationship information can be relationship information in which the thermal characteristic parameters at the control time based on the first and second intermediate relationship information and the cloud amount at the control time are reflected. And, as described above, each relationship information can include off-relationship information and on-relationship information.

[0049] As shown in FIG. 4 again, in step (S40), the temperature difference between the indoor and outdoor temperatures at the control time of the target area 10 can be applied to the target relationship information to predict the temperature change amount during the control period of the target area 10. At this time, the temperature change amount during the control period of the target area 10 can include a first temperature change amount and a second temperature change amount. The first temperature change amount can be the temperature change amount of the target area 10 when the air conditioner 20 is turned off during the control period, and the second temperature change amount can be the temperature change amount of the target area 10 when the air conditioner 20 is turned on during the control period. According to the embodiment, when the target relationship information corresponds to the target relationship polynomial expression, in step (S40), the temperature difference between the indoor and outdoor temperatures at the control time can be substituted into the variable of the target relationship polynomial expression to calculate the temperature change amount during the control period.

[0050] When sorted out, the management server 70 of the present invention can calculate: i) basic relationship information reflecting the heat characteristic parameters unique to the target area 10 (i.e., basic heat characteristic parameters) based on the basic information; ii) first intermediate relationship information reflecting the heat characteristic parameters of the target area 10 excluding sunlight based on the first intermediate information and the basic relationship information; iii) second intermediate relationship information reflecting all the heat characteristic parameters of the target area 10 based on the second intermediate information and the basic relationship information; iv) target relationship information based on the first and second intermediate relationship information and the cloud amount at the control time point; and v) the temperature change amount of the target area 10 during the control period based on the target relationship information and the indoor-outdoor temperature difference at the control time point. At this time, since all the heat characteristic parameters at the control time point are reflected in the target relationship information, the heat characteristics of the target area 10 at the control time point can be represented. Therefore, the temperature change amount of the target area 10 during the control period can be accurately predicted using the target relationship information.

[0051] Finally, in step (S50), the driving of the air conditioner 20 can be controlled based on the temperature change amount during the control period. That is, in step (S50), the driving of the air conditioner 20 can be controlled based on the first and second temperature change amounts during the control period. At this time, the driving control of the air conditioner 20 can be the change of the driving state of the air conditioner 20 (i.e., the change of turning on / off the air conditioner 20) and the setting of the desired temperature of the air conditioner 20 when the air conditioner 20 is driven, etc. According to the embodiment, in step (S50), the driving of the air conditioner 20 can be controlled based on the preset comfortable temperature and the temperature change amount during the control period. Here, the comfortable temperature can be defined as the sensible temperature at which the user located in the target area 10 feels comfortable. The comfortable temperature can be set differently according to seasons and can also be set differently according to the periods included in the target day. The plurality of periods can be set based on the operation schedule for the target area 10. At this time, the comfortable temperature can include an off-comfortable temperature which is the sensible temperature at which the user feels comfortable when the air conditioner 20 is turned off, and an on-comfortable temperature which is the sensible temperature at which the user feels comfortable when the air conditioner 20 is turned on.

[0052] As shown in the above-described content, in step (S50), the driving of the air conditioner 20 can be controlled by performing a first process based on the off-comfortable temperature and the first temperature change amount, and a second process based on the on-comfortable temperature and the second temperature change amount. On the other hand, the above-described method for controlling the driving of the air conditioner is a method of calculating target relationship information by correcting base relationship information according to cloud cover (i.e., sunlight) and predicting the temperature change amount of the target area 10. However, the present invention is not limited to the above-described content. That is, the method for controlling the driving of the air conditioner can also calculate target relationship information by correcting base relationship information according to non-base heat characteristic parameters other than sunlight (i.e., at least one of a human body, a non-base power consumption device, and ventilation) and predict the temperature change amount of the target area 10. Since this is similar to the above-described content, the description of overlapping content is omitted.

[0053] On the other hand, the content described with reference to FIGS. 4 to 6 can also be performed by the control module 40 other than the management server 70. In this case, the control module 40 includes a control unit of a high-performance processor base, and can further include the above-described second short-range communication module and the infrared communication module. The control module 40 can acquire weather information of the target area 10 from the weather server 80 via the access point 60 and the gateway 50, and can acquire the indoor temperature and humidity of the target area 10 measured by the temperature and humidity sensor 30 via the gateway 50. Further, the temperature and humidity sensor 30 and the control module 40 can be formed by being built in the air conditioner 20. In this case, the control module 40 can also directly acquire the indoor temperature and humidity from the temperature and humidity sensor 30. Since the operation performed by the control module 40 is similar to the above description, detailed description will be omitted.

[0054] In addition, embodiments of the present invention can be embodied in the form of program instructions executable via various computer means and recorded on a computer-readable medium. The computer-readable medium can include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium can be those specially designed and configured for the present invention or those known and usable by those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program instructions such as ROMs, RAMs, and flash memories. Examples of program instructions include not only machine language codes created by compilers but also high-level language codes executable by a computer using an interpreter or the like. The above-described hardware devices can be configured to operate as one or more software modules for performing the operations of an embodiment of the present invention, and vice versa.

[0055] As described above, in the present invention, specific matters such as specific components are described by limited embodiments and drawings, but this is only provided to assist in the general understanding of the present invention, and the present invention is not limited to the above-described embodiments. Those having ordinary knowledge in the field to which the present invention pertains can make various modifications and variations from such descriptions. Therefore, the idea of the present invention should not be defined only by the described embodiments, and it can be said that not only the scope of the claims described later but also all those having equivalent or equivalent variations to the scope of the claims belong to the category of the idea of the present invention.

Claims

1. In a method for predicting the amount of temperature change in a target area performed by a device with a processor base, a step of collecting a plurality of base information, and a step of calculating base relationship information between the indoor-outdoor temperature difference of the target area and the amount of temperature change of the target area based on the plurality of base information, including each of the plurality of base information is information on the amount of temperature change of the target area due to the indoor-outdoor temperature difference of the target area in a late-night time period, the late-night time period is set based on at least one of the activity schedule information, sunrise time, and sunset time of the target area, and is characterized by a method for predicting the amount of temperature change.

2. The late-night time period is a time period between a first time point and a second time point, the first time point corresponds to the later time point of the end time of the activity time of the target area and the sunset time, the second time point corresponds to the earlier time point of the start time of the activity time of the target area and the sunrise time, and is characterized by the method for predicting the amount of temperature change according to Claim 1.

3. The late-night time period starts at a time when a predetermined time has elapsed after passing the first time point, and is characterized by the method for predicting the amount of temperature change according to Claim 2.

4. In the step of collecting, the plurality of base information is collected on each of at least one day (day), the at least one day is a day earlier than the prediction time point of the amount of temperature change of the target area, and is characterized by the method for predicting the amount of temperature change according to Claim 1.

5. The base relationship information is represented by a base relationship function formula corresponding to a trend line for the plurality of base information, and is characterized by the method for predicting the amount of temperature change according to Claim 1.

6. The base relationship information includes off-base relationship information and on-base relationship information, the off-base relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the amount of temperature change of the target area when the air conditioner installed in the target area is turned off, the on-base relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the amount of temperature change of the target area when the air conditioner is turned on, and is characterized by the method for predicting the amount of temperature change according to Claim 1.

7. The indoor temperature of the target area in the late-night time period is not affected by non-base thermal characteristic parameters, The non-base thermal characteristic parameter includes at least one of sunlight passing through the target area, a human body located in the target area, a power-consuming device turned off during the late-night time period, and intentional outside air inflow into the target area. The method for predicting the temperature change amount according to claim 6.

8. The step of collecting information about the non-base thermal characteristic parameter at the prediction time of the temperature change amount of the target area, and The step of correcting the base relationship information based on the information about the non-base thermal characteristic parameter collected at the prediction time to calculate target relationship information. The target relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area at the prediction time. The method for predicting the temperature change amount according to claim 7.

9. When the base relationship information is the on-base relationship information, the air conditioner is turned on at the prediction time. The method for predicting the temperature change amount according to claim 8.

10. The method further includes the step of applying the indoor-outdoor temperature difference at the prediction time to the target relationship information to predict the temperature change amount during the prediction period of the target area, The prediction period is included in the activity time of the target area. The method for predicting the temperature change amount according to claim 8.

11. When the base relationship information is the off-base relationship information, Each of the plurality of base information is information about the temperature change amount of the target area due to the indoor-outdoor temperature difference of the target area when the air conditioner installed in the target area is turned off. The base relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area when the air conditioner is turned off during the late-night time period. The target relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area when the air conditioner is turned off at the prediction time. The temperature change amount during the prediction period is the temperature change amount when it is assumed that the air conditioner is turned off. The method for predicting the temperature change amount according to claim 10.

12. When the base relationship information is the on-base relationship information, Each of the plurality of base information is information about the temperature change amount of the target area due to the indoor-outdoor temperature difference of the target area when the air conditioner installed in the target area is turned on. The base relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area when the air conditioner is turned on during the late-night time period. The target relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area when the air conditioner is turned on at the prediction time point. The temperature change amount during the prediction period is the temperature change amount when it is assumed that the air conditioner is turned on, which is characterized by The temperature change amount prediction method according to claim 10.

13. The information about the collected non-base heat characteristic parameters is the cloud amount corresponding to the sunlight. The step of calculating the target relationship information calculates the target relationship information based on the intermediate relationship information obtained by reflecting the cloud amount at the prediction time point and the previously collected intermediate information in the base relationship information. The intermediate relationship information includes first and second intermediate relationship information. The first intermediate relationship information is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area during the activity time when the cloud amount is maximum. The second intermediate relationship information is characterized in that it is relationship information between the indoor-outdoor temperature difference of the target area and the temperature change amount of the target area during the activity time when the cloud amount is minimum. The temperature change amount prediction method according to claim 10.

14. The intermediate information includes first and second intermediate information. The first intermediate information is information about the temperature change amount of the target area due to the indoor-outdoor temperature difference of the target area during the activity time period with the maximum cloud amount before the prediction time point. The second intermediate information is information about the temperature change amount of the target area due to the indoor-outdoor temperature difference of the target area during the activity time period with the minimum cloud amount before the prediction time point. The first intermediate relationship information is set by reflecting the first intermediate information in the base relationship information, and the second intermediate relationship information is set by reflecting the second intermediate information in the base relationship information, which is characterized by The temperature change amount prediction method according to claim 13.

15. The base relationship information corresponds to a base relationship polynomial function formula that outputs the temperature change amount of the target area with the indoor-outdoor temperature difference of the target area as a variable. The first intermediate relationship information corresponds to a first intermediate relationship polynomial function formula set by changing the constant term of the base relationship polynomial function formula using the first intermediate information. The second intermediate relationship information corresponds to a second intermediate relationship polynomial function expression set by changing a constant term of the base relationship polynomial function expression using the second intermediate information. The temperature change amount prediction method according to claim 10.

16. The target relationship information corresponds to a target relationship polynomial function expression set by changing a constant term of the base relationship polynomial function expression using the first intermediate relationship polynomial function expression, the second intermediate relationship polynomial function expression, and the cloud amount at the prediction time point. The constant term of the target relationship polynomial function expression is a value between the constant term of the first intermediate relationship polynomial function expression and the constant term of the second intermediate relationship polynomial function expression. The temperature change amount prediction method according to claim 15.

17. A memory storing computer-readable instructions, and A processor embodied to execute the instructions, The processor collects a plurality of base information, calculates base relationship information between an indoor-outdoor temperature difference of a target area and a temperature change amount of the target area based on the plurality of base information, Each of the plurality of base information is information on a temperature change amount of the target area due to the indoor-outdoor temperature difference of the target area in a late-night time period. The temperature change amount prediction device, wherein the late-night time period is set based on at least one of activity schedule information, sunrise time, and sunset time of the target area.

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