Device and method for predicting temperature variation of target area

Abstract

The invention discloses a target area temperature change amount prediction device and method. The disclosed method is executed in a processor-based device, and includes a step of collecting a plurality of pieces of basic information, and a step of calculating basic relationship information between an indoor and outdoor temperature difference of the target region and a temperature change amount of the target region on the basis of the plurality of pieces of basic information, each piece of basic information is information of the temperature change amount of the target area caused by the indoor and outdoor temperature difference of the target area in the late night time period, and the late night time period is set based on at least one of activity time table information, sunrise time and sunset time of the target area.

Description

Technical Field

[0001] Embodiments of the present invention relate to a device and method for predicting a temperature change amount of a target area for controlling the driving of a cooling and heating facility disposed in the target area. Background Art

[0002] Heating and cooling facilities (or air conditioners) are devices that use a refrigeration cycle to keep the indoor temperature comfortable for people to move around in. Heating and cooling facilities cool the room by absorbing the indoor hot air, exchanging heat with the low-temperature refrigerant, and then spitting it out into the room, or vice versa to heat the room.

[0003] Generally, the driving of the cooling and heating facilities is controlled by direct human operation. For example, in the summer when the indoor temperature is high, the user turns on the cooling and heating facilities and sets the turned-on cooling and heating facilities to a low desired temperature in order to quickly reduce the indoor high temperature.

[0004] In addition, in restaurants, cafes, offices and other spaces where there are many users, space managers usually directly control the operation of heating and cooling facilities. However, there is a problem that the heating and cooling facilities cannot be operated efficiently due to the ignorance or carelessness of the managers.

[0005] For example, in summer, if the manager sets the desired temperature of the cooling and heating facilities to a high level, the user may feel hot, and if the manager sets the desired temperature of the cooling and heating facilities to a low level, the user may feel cold. As a result, the user may feel uncomfortable. In particular, if the desired temperature of the cooling and heating facilities is set to a low level in summer, the power consumption of the cooling and heating facilities will increase, thus causing a problem of increased electricity bills in the space.

[0006] Therefore, there is a need for a technology for efficiently driving cooling and heating facilities without the manager directly operating the cooling and heating facilities. Summary of the invention

[0007] Technical issues

[0008] An object of the present invention is to provide a temperature change prediction device and method, which accurately predict the temperature change of a target area to prevent unnecessary driving of cooling and heating facilities and minimize the power consumption of cooling and heating facilities.

[0009] Furthermore, an object of the present invention is to provide a temperature change amount prediction device and method for calculating basic relationship information of a target area for predicting the temperature change amount of the target area.

[0010] The purpose of the present invention is not limited to the above-mentioned purpose. Other purposes and advantages of the present invention that are not mentioned can be understood through the following description and more clearly understood through the embodiments of the present invention. In addition, it can be easily understood that the purpose and advantages of the present invention can be achieved through the means and combinations thereof shown in the claims.

[0011] Technical Solution

[0012] According to an embodiment of the present invention, a method for predicting a temperature change in a target area includes: a step of collecting a plurality of basic information, a step of calculating basic relationship information between an indoor and outdoor temperature difference of the target area and a temperature change of the target area based on the plurality of basic information, wherein the plurality of basic information are information on the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area during a late night time period, and the late night time period is set based on at least one of the activity schedule information of the target area, a sunrise time, and a sunset time.

[0013] According to one embodiment of the present invention, a target area temperature change prediction device includes: a memory storing computer-readable instructions, a processor implemented to execute the instructions, the processor collects multiple basic information, and calculates basic relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area based on the multiple basic information, the multiple basic information are respectively information about the temperature change of the target area caused by 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 of the target area, the sunrise time and the sunset time.

[0014] Technical Effects

[0015] According to the present invention, the temperature change of the target area is accurately predicted based on the information of the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area collected during the late night period, thereby preventing unnecessary driving of cooling and heating facilities and minimizing the power consumption of cooling and heating facilities.

[0016] Furthermore, according to the present invention, by calculating the basic relationship information between the indoor and outdoor temperature difference of the target area reflecting the basic thermal characteristic determining factor and the temperature change of the target area, the inherent thermal characteristics of the target area can be reflected to accurately predict the temperature change of the target area.

[0017] Furthermore, the effects of the present invention are not limited to the above-mentioned effects, but should be understood to include all effects that can be inferred from the detailed description of the present invention or the scope of claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic diagram showing a brief structure of a space according to an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram showing a brief structure of a cooling and heating facility control system according to an embodiment of the present invention;

[0020] Figure 3 is a schematic diagram showing a brief structure of a management server according to an embodiment of the present invention;

[0021] Figure 4 is a schematic diagram showing the entire flow chart of a cooling and heating facility driving control method according to an embodiment of the present invention;

[0022] Figure 5 to Figure 7 1 is a schematic diagram for explaining the concept of a relational polynomial function formula regarding a cooling and heating equipment driving control method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The present invention can be modified in various ways and has a variety of embodiments, and specific embodiments will be shown in the drawings and described in detail. However, this is not intended to limit the present invention to a specific embodiment, and it should be understood that it includes all changes, equivalents and substitutes included in the concept and technical scope of the present invention. When describing each figure, similar reference numerals are used for similar components.

[0024] Terms such as "first" and "second" can be used to describe various components, but the components should not be limited to the terms. The terms are only used to distinguish one component from another component. The term "and / or" includes a combination of multiple related items or any one of the multiple related items.

[0025] When a component is described as being "connected" or "accessed" to another component, it should be understood that it can be directly connected or accessed to the other component, but there may be other components in between. On the contrary, when a component is described as being "directly connected" or "directly accessed" to another component, it should be understood that there are no other components in between.

[0026] The terms used in this specification are only used to illustrate 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, the terms "including" or "having" should be understood to specify the presence of features, numbers, steps, actions, constituent elements, parts or combinations thereof recorded in the specification, and do not preclude the possibility of the presence or addition of one or more other features or numbers, steps, actions, constituent elements, parts or combinations thereof.

[0027] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0028] Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

[0029] Figure 1 1 is a schematic diagram showing a brief structure of a space 1 according to an embodiment of the present invention.

[0030] See also Figure 1 The space 1 includes a plurality of regions 10a, 10b, 10c, and 10d. The plurality of regions 10a, 10b, 10c, and 10d may be separated from each other by inner walls. Due to separation by the inner walls, the indoor temperatures and humidities of the plurality of regions 10a, 10b, 10c, and 10d may be different from each other.

[0031] The cooling and heating facilities 20, the temperature and humidity sensors 30 and the control modules 40 may be respectively installed in the plurality of areas 10a, 10b, 10c and 10d. Furthermore, the gateway 50 may be installed in at least a part of the area 10b among the plurality of areas 10a, 10b, 10c and 10d. Figure 1 However, the access point 60 may be set in a specific area among the multiple areas 10a, 10b, 10c, and 10d (see Figure 2 ).

[0032] Hereinafter, the present invention will be described assuming that the area 10b where the gateway 50 is installed is the target area 10. However, the present invention is not limited thereto, and the contents of the present invention described below are applicable to a plurality of areas 10a, 10b, 10c, and 10d.

[0033] Figure 2 1 is a schematic diagram showing a schematic structure of a cooling and heating system control system 2 according to an embodiment of the present invention.

[0034] See also Figure 2 The cooling and heating facility 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 .

[0035] The temperature and humidity sensor 30 can measure the indoor temperature and humidity of the target area 10. To this end, the temperature and humidity sensor 30 may include a temperature sensor module and a humidity sensor module.

[0036] The temperature and humidity sensor 30 may be disposed at a location capable of measuring the temperature and humidity of an area where people mainly move around, but is not limited thereto. The temperature and humidity sensor 30 may also be built into the heating and cooling facility 20 .

[0037] The temperature and humidity sensor 30 can communicate with other electronic devices in the target area 10. To this end, the temperature and humidity sensor 30 may include a short-range communication module. As an example, the temperature and humidity sensor 30 may have a Bluetooth communication module, but the present invention is not limited thereto.

[0038] The control module 40 may be a device that transmits a drive control signal for controlling the drive of the cooling and heating facility 20 to the cooling and heating facility 20. The control module 40 may be disposed at a specific portion of the target area 10 adjacent to the cooling and heating facility 20. As described below, the drive control signal may be generated at the management server 70 and transmitted from the management server 70 to the control module 40 via the access point 60 and the gateway 50.

[0039] To this end, the control module 40 may include a short-range communication module and an infrared data association (IrDA) module. As an example, the control module 40 may include a Bluetooth communication module, but the present invention is not limited thereto.

[0040] The gateway 50 can communicate with the temperature and humidity sensor 30, the control module 40 and the access point 60 respectively. To this end, the gateway 50 may 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 may be a Bluetooth communication module, and the second short-range communication module may be a WiFi (Wireless fidelity) communication module, but the present invention is not limited thereto.

[0041] The gateway 50 can receive indoor temperature and humidity information from the temperature and humidity sensor 30 and transmit it to the access point 60. In addition, the gateway 50 can receive a driving control signal of the cooling and heating facility 20 described later from the access point 60 and transmit it to the control module 40. In addition, the gateway 50 can also receive driving-related data of the cooling and heating facility 20 from the control module 40.

[0042] The access point 60 may relay the communication between the gateway 50 and the management server 70. To this end, the access point 60 may include a second short-range communication module and a long-range communication module.

[0043] The management server 70 may be a device for substantially controlling the cooling and heating facility 20. The management server 70 may be communicatively connected with the access point 60 and the weather server 80. The management server 70 may receive indoor temperature and humidity information of the target area 10 from the access point 60, and may receive weather information of the target area 10 from the weather server 80. The management server 70 may generate a driving control signal of the cooling and heating facility 20 using the indoor temperature and humidity information and the weather information of the target area 10, and transmit the driving control signal to the access point 60.

[0044] The weather server 80 may be a server that provides weather information (weather information) for each administrative region. The weather information may be forecast information. The weather information may include outdoor temperature, cloud cover, precipitation probability, humidity, etc. In addition, the cloud cover may correspond to the amount of sunshine (i.e., the amount of sunlight).

[0045] Hereinafter, the management server 70 will be described in more detail.

[0046] Figure 3 FIG. 1 is a schematic diagram showing a brief configuration of a management server 70 according to an embodiment of the present invention.

[0047] See also Figure 3 The management server 70 may include a communication unit 710, a control unit 720, and a storage unit 730. The functions of each component will be described in detail below.

[0048] The communication unit 710 may be a module for communicating with the access point 60 and the weather server 80. As an example, the communication unit 710 may include a long-distance communication module implemented by wired / wireless communication, but the present invention is not limited thereto.

[0049] 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 also receive the weather information of the target area 10 provided from the weather server 80 .

[0050] The control unit 720 may include a memory and a processor. The memory may be a volatile and / or non-volatile memory, and may store instructions or data related to at least one other component of the management server 70. The processor may include one or more of a central processing unit (CPU), an application processor, or a communication processor.

[0051] The control unit 720 can control the communication unit 710 and can generate a drive control signal for the heating and cooling facility 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 information. The control unit 720 can also generate processing information in real time at a control time point when the heating and cooling facility 20 is to be controlled, and can also generate processing information in advance before the control time point. Among them, the control time point can correspond to the predicted time point of the temperature change amount of the target area 10.

[0052] The storage unit 730 may store various information related to the driving control of the cooling and heating system 20 .

[0053] In addition, as described below, in order to generate the driving control signal, the temperature change amount of the target area 10 may be predicted. That is, the management server 70 may correspond to a device that predicts the temperature change amount of the target area 10.

[0054] Hereinafter, the concept of the thermal characteristics of the target area 10 that affect the indoor temperature of the target area 10 will be described first, and an embodiment of predicting the temperature change of the target area 10 to control the driving of the cooling and heating equipment 20 will be further described.

[0055] 1. Thermal characteristics of target area 10

[0056] The thermal characteristics of the target area 10 may be defined as the influence of changes in the internal and external environments of the target area 10 on changes in the indoor temperature of the target area 10. The thermal characteristics of the target area 10 may be substantially different from the thermal characteristics of other areas.

[0057] The thermal characteristics of the target area 10 may be defined by a plurality of thermal characteristic determining factors. According to an embodiment, the plurality of thermal characteristic determining factors may include at least one of sunlight, human body, power consumption device, air infiltration, ventilation, and wall.

[0058] Sunlight is light that naturally shines into the target area 10 through a window or the like arranged in the target area 10 regardless of the user's intention. The indoor temperature of the target area 10 may increase as the amount of sunlight flowing into the target area 10 increases.

[0059] In addition, the inflow of sunlight may be related to the cloud cover. The inflow of sunlight may decrease as the cloud cover increases, and the inflow of sunlight may increase as the cloud cover decreases.

[0060] As an example, cloud cover can be expressed in 9 levels. In the case of a very sunny day, the cloud cover is level 0 (i.e., the cloud cover is the least), and the inflow of sunlight is the largest. In addition, in the case of a very cloudy day, the cloud cover is level 8 (i.e., the cloud cover is the most), and the inflow of sunlight is the least.

[0061] The human body is a user located in the target area 10 and is a natural heat-generating body that radiates heat. The more users are located in the target area 10, the more the indoor temperature of the target area 10 may increase.

[0062] A power consuming device is an electrical / electronic device that uses electricity to perform a specific action and generates heat when the power consuming device is driven. As an example, the power consuming device may be a lighting device, a PC (Personal Computer), a refrigerator, a water purifier, a TV, a humidifier, an air purifier, a dishwasher, etc. Here, the heating and cooling facilities 20 are defined as excluded from the power consuming devices.

[0063] In particular, the lighting device is a device that radiates light toward the target area 10 according to the user's intention, and a large amount of heat can be released from the lighting device when radiating light.

[0064] In addition, power consumption devices such as refrigerators and water purifiers may be turned on all the time without being turned off in the target area 10, thereby releasing heat. Therefore, power consumption devices that are turned on all the time are defined as "basic power consumption devices", and power consumption devices that are turned on only during a specific time period (for example, the activity time of the target area 10 described below) and turned off outside the specific time period are defined as "non-basic power consumption devices".

[0065] Air infiltration is outside air that flows into the target area 10 through gaps in windows or doors. In other words, air infiltration is outside air that naturally flows into the target area 10 regardless of the user's intention. For example, in the summer, the more air infiltration flows into the target area 10, the higher the indoor temperature, and in the winter, the more air infiltration flows into the target area 10, the lower the indoor temperature.

[0066] Ventilation is the outside air that flows into the target area 10 due to opening windows, driving ventilation devices, etc. That is, ventilation can be the air exchange between the inside air and the outside air in the target area 10 according to the user's wishes. Similar to infiltration, the more ventilation is performed in the summer, the higher the indoor temperature of the target area 10 is, and the more ventilation is performed in the winter, the lower the indoor temperature of the target area 10 is.

[0067] 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 through the wall structure in the form of radiation / convection / conduction, and the heat outside the target area 10 can flow into the inside of the target area 10 through the wall structure in the form of radiation / convection / conduction.

[0068] In addition, the target area 10 may be an area where a specific activity is performed. For example, the target area 10 may be an office where office activities are performed, a cafe or restaurant where service activities are performed, etc. In addition, the target area 10 may be set with an activity schedule or preset activity hours. For example, an office may set office hours, and a cafe or restaurant may set service hours. Activity hours may be defined as including the time for preparation activities.

[0069] Here, when the activity time of the target area 10 ends, all users active in the target area 10 may leave the target area 10, non-basic power consumption devices, especially lighting devices, may be turned off, and ventilation may not be performed. In addition, sunlight will not flow into the target area 10 in the middle of the night, and due to the thermal inertia of the wall structure, the heat stored in the wall structure may be completely released.

[0070] That is, the indoor temperature of the target area 10 at midnight is not affected by at least one of the heat caused by the sunlight passing through the target area 10, the heat released by the human body in the target area 10, the heat released by the non-basic power consumption device turned off at midnight, and the heat caused by the outside air flowing into the target area due to ventilation. However, the indoor temperature of the target area 10 at midnight can be affected by the heat released when the basic power consumption device is driven, the heat caused by the inflow of outside air due to the infiltration of wind, and the heat related to the wall structure.

[0071] In other words, basic power consumption devices, air infiltration, and wall structures can be defined as basic thermal characteristic determining factors among thermal characteristic determining factors, and the basic thermal characteristic determining factors can always have an impact on the indoor temperature of the target area 10 at all time periods. In addition, sunlight, human body, non-basic power consumption devices, and ventilation can be defined as non-basic thermal characteristic determining factors among thermal characteristic determining factors, and the non-basic thermal characteristic determining factors may not have an impact on the indoor temperature of the target area 10 at midnight.

[0072] 2. Driving control of the cooling and heating facility 20 based on the predicted temperature change amount of the target area 10

[0073] Figure 4 1 is a schematic diagram showing the entire flow chart of a cooling and heating facility driving control method according to an embodiment of the present invention.

[0074] The cooling and heating equipment driving control method may be executed by the management server 70. The following describes in detail the process of executing each step.

[0075] First, in step S10 , information for controlling the driving of the cooling and heating equipment 20 may be collected or calculated.

[0076] According to an embodiment, the information used to control the driving may include collected information and calculated information. The collected information may include basic information and intermediate information, and the calculated information may include basic relationship information and intermediate relationship information.

[0077] The basic information may be information on a temperature change amount of the target area 10 according to a temperature difference between an indoor area and an outdoor area of ​​the target area 10 during a preset midnight time period.

[0078] The indoor and outdoor temperature difference of the target area 10 may correspond to the difference between the outdoor temperature of the target area 10 and the indoor temperature of the target area 10 (T o -T i Here, the outdoor temperature of the target area 10 can be collected from the weather server 80 , and the indoor temperature of the target area 10 can be measured by the temperature and humidity sensor 30 .

[0079] As described above, the indoor temperature of the target area 10 can be measured by the temperature and humidity sensor 30. Here, when multiple temperature and humidity sensors 30 are provided in the target area 10, the indoor temperature of the target area 10 can be the average value of the indoor temperatures respectively measured by the multiple temperature and humidity sensors 30.

[0080] The temperature variation of the target region 10 may be defined as the temperature variation per unit time of the target region 10. As an example, the unit time may be 1 hour, but the present invention is not limited thereto.

[0081] The late night time period may be set based on at least one of the activity schedule information of the target area 10 , the sunrise time, and the sunset time.

[0082] According to an embodiment, the late night time period may be a time period between a first time point and a second time point. The second time point may come after the first time point. Here, the first time point may correspond to a later time point between the end time point of the activity time of the target area 10 and the sunset time, and the second time point may correspond to an earlier time point between the start time point of the activity time of the target area 10 and the sunrise time.

[0083] As an example, if the target area 10 is an office, the office's activity time is 9:00-18:00, 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 may be 19:50 (sunset time), and the second time point may be 5:10 (sunrise time). As another example, if the target area 10 is a cafe, the cafe's activity time is 7:00-20:00, the sunset time is 17:31, and the sunrise time is 7:50, the first time point may be 20:00 (the end time point of the activity time), and the second time point may be 7:00 (the start time point of the activity time).

[0084] Also, the late night time period may be a time period after a predetermined time has passed since the activity time of the target area 10 ended.

[0085] The late night time period may start at a predetermined time after the first time point. Here, the heat stored in the wall structure may be released completely at the predetermined time. As an example, the predetermined time period may be 40 minutes, but the present invention is not limited thereto.

[0086] The basic information can be collected in a preset period during the late night time period. For example, when the length of the late night time period is 1 hour, the basic information can be collected in 10-minute units.

[0087] The basic information may be collected in each late night time period of at least one day before the above-mentioned control time point. That is, a plurality of basic information may be collected in at least one day before the control time point. Here, the at least one day may include a target day including the control time point. That is, the basic information may also be collected in the late night time period of the target day. In other words, the at least one day may be a day earlier than the control time point. The at least one day may be set as the day before the control time point. As an example, the at least one day may be "10 days", but the present invention is not limited thereto.

[0088] In addition, basic information may include closing basic information and opening basic information.

[0089] The closing basic information may be information on the temperature change amount of the target area 10 caused by the indoor and outdoor temperature difference of the target area 10 when the cooling and heating facilities 20 are in the closed state during the late night time period.

[0090] The basic opening information may be information about the temperature change of the target area 10 caused by the indoor and outdoor temperature difference of the target area 10 when the cooling and heating facility 20 is turned on in the late night time period. Here, in order to collect the basic opening information, the cooling and heating facility 20 may be turned on at a preset default expected temperature. As an example, the default expected temperature may be the most commonly used expected temperature of the cooling and heating facility 20 (as an example, 24° C. in cooling mode), but the present invention is not limited thereto.

[0091] The at least one day for collecting the closing basic information and the at least one day for collecting the opening basic information may be different from each other. That is, the opening basic information is not collected on the day for collecting the closing basic information, and the closing basic information is not collected on the day for collecting the opening basic information.

[0092] For example, the basic information is information collected during the late night time period, and may be information that does not reflect the influence of non-basic thermal characteristic determining factors (i.e., human body, non-basic power consumption devices, and ventilation) on the indoor temperature of the target area 10, and only reflects the influence of basic thermal characteristic determining factors (i.e., basic power consumption devices, air infiltration, and wall structures). That is, the basic information may be information about the inherent thermal characteristics of the target area 10.

[0093] The basic relationship information may be defined as the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 at midnight. The basic relationship information may be set by the above-mentioned multiple basic information.

[0094] In addition, similar to the above, the basic relationship information may include closed basic relationship information and open basic relationship information. The closed basic relationship information may be the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the heating and cooling facilities 20 are closed at midnight. The open basic relationship information may be the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the heating and cooling facilities 20 are opened at midnight.

[0095] According to an embodiment, the basic relationship information may be represented as a basic relationship function corresponding to a trend line about a plurality of basic information. According to an embodiment, the trend line may be a polynomial trend line, and in particular, a quadratic polynomial trend line. That is, the basic relationship information may correspond to a basic relationship polynomial function that outputs the temperature change amount of the target area 10 using the indoor and outdoor temperature difference of the target area 10 as a variable. Here, the basic relationship information may be set separately in the cooling mode and the heating mode of the cooling and heating facility 20.

[0096] FIG5 shows a trend line based on multiple basic information, that is, an example of a basic relationship polynomial function. Figure 5a The basic relationship polynomial function about the cooling mode is shown in Figure 5b The basic relationship polynomial function about the heating mode is shown in FIG.

[0097] According to an embodiment, in each of the cooling mode and the heating mode, the function value of the basic relational polynomial may be expressed as the following Mathematical Formula 1.

[0098]

Mathematical formula 1

[0099]

[0100] Among them, βT D(o-i) represents the indoor and outdoor temperature difference of the target area 10, f(βT D(o-i) ) represents the temperature change of the target area 10, a and b represent the coefficients of the variable terms defined by the thermal characteristic determining factors of the target area 10, and c represents the constant term defined by the thermal characteristic determining factors of the target area 10.

[0101] For example, the basic relationship information may be the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10, which reflects the basic thermal characteristic determining factors of the target area 10, and may include the closed basic relationship information when the cooling and heating facilities 20 are in the closed state and the opened basic relationship information when the cooling and heating facilities 20 are in the opened state. Here, the influence related to the non-basic thermal characteristic determining factors is not included in the basic relationship information. That is, the basic relationship information may be the relationship information reflecting the inherent thermal characteristics of the target area 10.

[0102] The intermediate information may be information on the temperature change amount of the target area 10 caused by the temperature difference between indoor and outdoor of the target area 10 during the activity time.

[0103] In addition, similar to the above, the intermediate information may include closed intermediate information and opened intermediate information. The closed intermediate information may be information on the temperature change amount of the target area 10 caused by the indoor and outdoor temperature difference of the target area 10 when the cooling and heating facility 20 is closed during the activity time. The opened intermediate information may be information on the temperature change amount of the target area 10 caused by the indoor and outdoor temperature difference of the target area 10 when the cooling and heating facility 20 is turned on during the activity time. Here, in order to collect the opened intermediate information, the cooling and heating facility 20 may be turned on at a preset default expected temperature. The days for collecting the closed intermediate information and the days for collecting the opened intermediate information may be different.

[0104] The intermediate information may be collected during a specific time period of the activity time of the day before the control time point. The previous day may be at least one day. That is, at least one intermediate information may be collected during the day before the control time point. Here, the previous day may also include the target day including the control time point. That is, the basic information may also be collected during the activity time of the target day. In other words, the previous day may be a day earlier than the control time point.

[0105] According to an embodiment, each of the plurality of intermediate information may include a plurality of first intermediate information and a plurality of second intermediate information.

[0106] Each of the plurality of first intermediate information may be information on the temperature change amount of the target area 10 caused by the indoor and outdoor temperature difference of the target area 10 at the activity time on the day with the most cloud cover before the control time point. Among them, "most cloud cover" may correspond to "very cloudy", "level 8 cloud cover" or "least sunshine" day.

[0107] Each of the plurality of second intermediate information may be information on the temperature change amount of the target area 10 caused by the indoor and outdoor temperature difference of the target area 10 at the activity time on the day with the least cloud cover before the control time point. Among them, "least cloud cover" may correspond to "very sunny", "0-level cloud cover" or "most sunshine" day.

[0108] For example, the intermediate information is information collected during the activity time, and may be information reflecting the impact of basic thermal characteristic determinants (i.e., basic power consumption devices, air infiltration, and wall structures) and non-basic thermal characteristic determinants (i.e., sunlight, human body, non-basic power consumption devices, and ventilation) on the indoor temperature of the target area 10.

[0109] In particular, since the first intermediate information is information collected during the activity time on a very cloudy day, the influence of sunlight is not reflected. That is, the first intermediate information may be information reflecting the influence of the human body, power consumption devices, air infiltration, ventilation, and wall structures other than sunlight. And, since the second intermediate information is information collected during the activity time on a very sunny day, the influence of sunlight with the maximum inflow is reflected. That is, the second intermediate information may be information reflecting the influence of sunlight, the human body, power consumption devices, air infiltration, ventilation, and wall structures with the maximum inflow.

[0110] The intermediate relationship information can be defined as the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change of the target area 10 during the activity time. The intermediate relationship information can be set by the above-mentioned multiple intermediate information. The intermediate relationship information can be set separately in the cooling mode and heating mode of the cooling and heating facility 20.

[0111] In addition, similar to the above, the intermediate relationship information may include closed intermediate relationship information and open intermediate relationship information. The closed intermediate relationship information may be the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the cooling and heating facilities 20 are in the closed state during the activity time. The open intermediate relationship information may be the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the cooling and heating facilities 20 are in the opened state during the activity time.

[0112] According to an embodiment, the intermediate information may be reflected in the basic relationship information to set the intermediate relationship information. Therefore, the intermediate relationship information may also be expressed as an intermediate relationship polynomial function.

[0113] According to the embodiment, the intermediate relational polynomial function may be set by changing the constant term of the basic relational polynomial function using the intermediate information.

[0114] Specifically, the intermediate information can be expressed as a two-dimensional coordinate value, namely (indoor and outdoor temperature difference, temperature change). Here, the "indoor and outdoor temperature difference" in the coordinate value of the intermediate information is substituted into the basic relationship polynomial function to calculate the output value of the basic relationship polynomial function, and the "temperature change" in the coordinate value of the intermediate information and the output value of the basic relationship polynomial function are subtracted to calculate the difference in temperature change, and the difference in temperature change and the constant term of the basic relationship polynomial function are added to calculate the intermediate relationship polynomial function. That is, the basic relationship polynomial function and the intermediate relationship polynomial function may have a relationship in which the constant terms are different and the variable terms are the same. The intermediate relationship polynomial function can also be expressed as the above-mentioned mathematical formula 1.

[0115] In addition, when there are multiple intermediate information, the above operation process is performed on each of the multiple intermediate information to calculate the differences between multiple temperature changes, and the intermediate relationship polynomial function can be calculated by adding the constant term of the basic relationship polynomial function to the average value of the differences between multiple temperature changes.

[0116] According to an embodiment, the intermediate relationship information may include first and second intermediate relationship information.

[0117] The first intermediate relationship information may be relationship information between the indoor and outdoor temperature difference of the target area 10 during the activity time when the cloud cover is the largest (the amount of sunlight inflow is the smallest) and the temperature change amount of the target area 10. The first intermediate relationship information may be set by reflecting the first intermediate information to the basic relationship information. In particular, the first intermediate relationship information may correspond to a first intermediate relationship polynomial function set by changing a constant term of the basic relationship polynomial function using the first intermediate information.

[0118] In particular, as described above, the first intermediate information reflects the human body, power consuming devices, air infiltration, ventilation and wall structures, but does not reflect the influence of sunlight. Therefore, the first intermediate relationship information can be relationship information between the indoor and outdoor temperature difference of the target area 10 reflecting the human body, power consuming devices, air infiltration, ventilation and wall structures and the temperature change of the target area 10.

[0119] The second intermediate relationship information may be relationship information between the indoor and 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 cover is the least (the amount of sunlight inflow is the greatest). The second intermediate relationship information may be set by reflecting the second intermediate information to the basic relationship information. The second intermediate relationship information may correspond to a second intermediate relationship polynomial function set by changing the constant term of the basic relationship polynomial function using the second intermediate information.

[0120] In particular, as described above, the second intermediate information is information reflecting the influence of the human body, power consumption devices, air infiltration, ventilation and wall structures, and the sunlight with the largest inflow, so the second intermediate relationship information can be relationship information reflecting the sunlight with the largest inflow, the human body, power consumption devices, air infiltration, ventilation and wall structures.

[0121] For example, the first and second intermediate relationship information are relationship information derived from the basic relationship information, so the first intermediate relationship information can be relationship information that further reflects the human body, non-basic power consumption devices and ventilation in the basic relationship information, and the second intermediate relationship information can be relationship information that further reflects the maximum amount of sunlight flowing in in the first intermediate relationship information.

[0122] See again Figure 4 In step S20, the indoor and outdoor temperature difference and cloud cover at the control time point can be collected.

[0123] As described above, the control time point is a time point included in the target day, and thus can be a predicted time point for predicting the temperature change amount of the target area 10. The indoor and 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 by the meteorological server 80. The cloud cover at the control time point can be collected by the meteorological server 80.

[0124] In step S30 , the target relationship information may be calculated based on the cloud amount correction basic relationship information at the control time point.

[0125] The target relationship information is relationship information used to predict the temperature change of the target area 10 during control after the control time point, and can be relationship information between the indoor and outdoor temperature difference of the target area 10 at the control time point and the temperature change of the target area 10.

[0126] In addition, similar to the above, the target relationship information may include closed target relationship information and open target relationship information. The closed target relationship information may be the relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change of the target area 10 when the heating and cooling facility 20 is in the closed state at the control time point.

[0127] The on-target relationship information may be relationship information between the indoor and outdoor temperature difference of the target area 10 and the temperature change amount of the target area 10 when the cooling and heating facility 20 is in the on state at the control time point.

[0128] In addition, the target relationship information may be set for each desired temperature of the cooling and heating facility 20. That is, as described above, the management server 70 may calculate each target relationship information for the default desired temperature. However, the cooling and heating facility 20 may also be turned on at another desired temperature other than the default desired temperature at the control time point. In this case, the management server 70 may infer the target relationship information for the other desired temperatures based on the target relationship information for the default desired temperature.

[0129] According to an embodiment, the control time point may be the start time point of the control period, and the length of the control period may be a unit time (for example, 1 hour). The control period may correspond to the period for predicting the temperature change amount of the target area 10 .

[0130] According to an embodiment, the basic relationship information may correspond to a basic relationship polynomial function, and in step S30 , a target relationship polynomial function corresponding to the target relationship information may be calculated based on a constant value of the basic relationship polynomial function changed based on the cloud amount at the control time point.

[0131] In addition, according to another embodiment, the target relationship information may be calculated by reflecting the cloud amount at the control time point in the first and second intermediate relationship information derived from the basic relationship information.

[0132] As described above, the first intermediate relationship information may be relationship information reflecting the thermal characteristic determining factors of the human body, power consumption devices, air infiltration, ventilation, and wall structures other than sunlight, and the second intermediate relationship information may be relationship information reflecting all thermal characteristic determining factors of sunlight, the human body, power consumption devices, air infiltration, ventilation, and wall structures that have the largest inflow. Therefore, in step S30, the target relationship information for predicting the temperature change amount during the control period of the target area 10 is 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.

[0133] According to an embodiment, similar to the above, the target relationship information may correspond to a target relationship polynomial function. Here, the target relationship polynomial function may be set based on the constant term of the first intermediate relationship polynomial function, the second intermediate relationship polynomial function, and the cloud amount change basic relationship polynomial function at the control time point.

[0134] Specifically, the target relational polynomial function may have a relation with each of the base relational polynomial function, the first intermediate relational polynomial function, and the second intermediate relational polynomial function, with the constant term being different and the variable term being the same.

[0135] Figure 6 The basic relation polynomial function, the first intermediate relation polynomial function, the second intermediate relation polynomial function and the target relation polynomial function are shown when the cooling and heating equipment 20 works in the cooling mode according to one embodiment of the present invention.

[0136] See also Figure 6 Each of the basic relation polynomial function, the first intermediate relation polynomial function, the second intermediate relation polynomial function and the target relation polynomial function may have a relation with the same variable terms and different constant terms.

[0137] Also, see Figure 6 The constant term of the target relationship polynomial function can be an intermediate value between the constant term of the first intermediate relationship polynomial function and the constant term of the second intermediate relationship polynomial function, and the intermediate value can be estimated based on the cloud cover at the control time point. The more cloud cover at the control time point, the closer the target relationship polynomial function is to the first intermediate relationship polynomial function, and the less cloud cover at the control time point, the closer the target relationship polynomial function is to the second intermediate relationship polynomial function.

[0138] As an example, when the cloud cover at the control time point is level 0, the target relationship polynomial function is the same as the second intermediate relationship polynomial function. In addition, when the cloud cover at the control time point is level 8, the target relationship polynomial function is the same as the first intermediate relationship polynomial function. In addition, when the cloud cover at the control time point is level 5, the target relationship polynomial function is located between the first intermediate relationship polynomial function and the second intermediate relationship polynomial function, and the constant term of the target relationship polynomial function corresponds to the average value of the constant term of the first intermediate relationship polynomial function and the constant term of the second intermediate relationship polynomial function.

[0139] In addition, the activation target relationship information may be set for each desired temperature of the cooling and heating facility 20. That is, the management server 70 may calculate each target relationship information for the default desired temperature, but the cooling and heating facility 20 may also be activated at another desired temperature other than the default desired temperature at the control time point. In this case, the management server 70 may infer activation target relationship information for the other desired temperatures based on the activation target relationship information for the default desired temperature.

[0140] Figure 7 The concept of estimating the target relationship polynomial function of each desired temperature based on the target relationship polynomial function of the default desired temperature is shown. Figure 7 The target relationship polynomial function of each desired temperature may have a relationship with a change in the constant term in the target relationship information of the default desired temperature.

[0141] For example, the basic relationship information may be relationship information reflecting the basic thermal characteristic determining factors, the first intermediate relationship information may be relationship information reflecting the thermal characteristic determining factors other than sunlight among the multiple thermal characteristic determining factors, the second intermediate relationship information may be relationship information reflecting all thermal characteristic determining factors including sunlight with the largest inflow, and the target relationship information may be relationship information reflecting the thermal characteristic determining factors at the control time point based on the first and second intermediate relationship information and the cloud amount at the control time point. In addition, each relationship information may include the closed relationship information and the open relationship information as described above.

[0142] See again Figure 4 In step S40 , the indoor and outdoor temperature difference at the control time point of the target area 10 may be applied to the target relationship information to predict the temperature change amount of the target area 10 during the control period.

[0143] Here, the temperature change amount of the target area 10 during the control period may include a first temperature change amount and a second temperature change amount. The first temperature change amount may be the temperature change amount of the target area 10 when the cooling and heating facility 20 is in the off state during the control period, and the second temperature change amount may be the temperature change amount of the target area 10 when the cooling and heating facility 20 is in the on state during the control period.

[0144] According to the embodiment, when the target relationship information corresponds to the target relationship polynomial function, in step S40, the indoor and outdoor temperature difference at the control time point is substituted into the variable of the target relationship polynomial function to calculate the temperature change during the control period.

[0145] In summary, the management server 70 according to one embodiment of the present invention can, i) calculate the basic relationship information reflecting the thermal characteristic determining factors inherent in the target area 10 (i.e., the basic thermal characteristic determining factors) based on the basic information, ii) calculate the first intermediate relationship information reflecting the thermal characteristic determining factors of the target area 10 other than sunlight based on the first intermediate information and the basic relationship information, iii) calculate the second intermediate relationship information reflecting all the thermal characteristic determining factors of the target area 10 based on the second intermediate information and the basic relationship information, iv) calculate the target relationship information based on the first and second intermediate relationship information and the cloud cover at the control time point, and v) calculate the temperature change amount of the target area 10 during the control period based on the target relationship information and the indoor and outdoor temperature difference at the control time point. Here, the target relationship information reflects all the thermal characteristic determining factors at the control time point, and thus can represent the thermal characteristics of the target area 10 at the control time point. Therefore, the temperature change amount of the target area 10 during the control period can be accurately predicted using the target relationship information.

[0146] Finally, in step S50, the driving of the cooling and heating facility 20 may be controlled based on the temperature change amount during the control period. That is, in step S50, the driving of the cooling and heating facility 20 may be controlled based on the first and second temperature change amounts during the control period. Here, the driving control of the cooling and heating facility 20 may be changing the driving state of the cooling and heating facility 20 (i.e., changing the on / off state of the cooling and heating facility 20) and setting the desired temperature of the cooling and heating facility 20 when the cooling and heating facility 20 is driven.

[0147] According to an embodiment, in step S50 , the driving of the cooling and heating equipment 20 may be controlled based on the preset comfort temperature and the temperature change amount during the control period.

[0148] The comfortable temperature may be defined as a body temperature that a user in the target area 10 feels comfortable. The comfortable temperature may be set differently according to the season, and may also be set differently according to each period included in the target day. Multiple periods may be set based on the operation schedule for the target area 10. Here, the comfortable temperature may include a closed comfort temperature that a user feels comfortable when the cooling and heating facility 20 is turned off, and a turned-on comfort temperature that a user feels comfortable when the cooling and heating facility 20 is turned on.

[0149] Referring to the above content, in step S50, the driving of the cooling and heating equipment 20 can be controlled by executing a first process based on the closing comfort temperature and the first temperature change amount and a second process based on the opening and closing comfort temperature and the second temperature change amount.

[0150] In addition, the above-mentioned cooling and heating facility driving control method is a method for correcting the basic relationship information based on the cloud cover (i.e., sunlight) to calculate the target relationship information to predict the temperature change amount of the target area 10. However, the present invention is not limited to the above content. That is, the cooling and heating facility driving control method can also correct the basic relationship information based on non-basic thermal characteristic determining factors other than sunlight (i.e., at least one of the human body, non-basic power consumption device and ventilation) to calculate the target relationship information to predict the temperature change amount of the target area 10. This is similar to the above content, so the description of the repeated content is omitted.

[0151] in addition, Figures 4 to 6The contents described in the above can also be executed in the control module 40 of the non-management server 70. In this case, the control module 40 includes a control unit based on a high-performance processor, and can also include the above-mentioned second short-range communication module and infrared communication module. The control module 40 can obtain weather information of the target area 10 from the meteorological server 80 through the access point 60 and the gateway 50, and can obtain the indoor temperature and humidity of the target area 10 measured by the temperature and humidity sensor 30 through the gateway 50. In addition, the temperature and humidity sensor 30 and the control module 40 can be built-in to the heating and cooling facility 20. In this case, the control module 40 can also obtain the indoor temperature and humidity directly from the temperature and humidity sensor 30. The execution actions of the control module 40 are similar to those described above, so detailed descriptions are omitted.

[0152] In addition, the embodiments of the present invention can be implemented as program instructions that can be executed by a variety of computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., alone or in combination. The program instructions recorded on the medium may be specially designed and constructed for the present invention, or may also be well known and usable by technicians of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and tapes, optical media such as CD-ROMs and DVDs, magneto-optical disk media such as floptical disks, and hardware devices such as ROMs, RAMs, and flash memories that are specially configured to store and execute program instructions. Examples of program instructions include machine codes such as codes generated by compilers and high-level language codes that can be executed by computers using interpreters, etc. The above-mentioned hardware devices can be configured to run as one or more software modules to perform the actions of an embodiment of the present invention, and vice versa.

[0153] As described above, the present invention is described through specific matters such as specific components and limited embodiments and drawings, but this is only for the overall understanding of the present invention. The present invention is not limited to the above embodiments, and a person skilled in the art in the field to which the present invention belongs can make various modifications and variations based on such records. Therefore, the concept of the present invention should not be limited to the described embodiments, and the scope of the attached claims and the equivalent or equivalent variations of the scope of the claims should be regarded as belonging to the scope of the concept of the present invention.

Claims

1. A method for predicting a temperature change of a target area executed by a processor-based device, comprising: Steps to collect multiple basic information; and The step of calculating basic relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area based on the plurality of basic information, Each of the plurality of basic information is information about the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area during the late night period. 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.

2. The temperature change prediction method according to claim 1, wherein: The late night time period is the time period between the first time point and the second time point, The first time point corresponds to the later time point between the end time point of the target area activity time and the sunset time. The second time point corresponds to an earlier time point between the start time point of the target area activity time and the sunrise time.

3. The temperature change prediction method according to claim 2, wherein: The late night time period starts at a time after a predetermined time has passed from the first time point.

4. The temperature change prediction method according to claim 1, wherein: The step of collecting is to collect the plurality of basic information every day in at least one day, The at least one day is earlier than a predicted time point of the temperature change amount of the target area.

5. The temperature change prediction method according to claim 1, wherein: The basic relationship information is expressed by a basic relationship function corresponding to a trend line with respect to the plurality of basic information.

6. The temperature change prediction method according to claim 1, wherein: The basic relationship information includes closing basic relationship information and opening basic relationship information. The off-basic relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area when the cooling and heating facilities in the target area are off. The activation basic relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area when the cooling and heating facilities are in the activated state.

7. The temperature change prediction method according to claim 6, wherein: The indoor temperature of the target area during the late night period is not affected by non-basic thermal characteristic determining factors, The non-basic thermal characteristic determining factors include at least one of sunlight passing through the target area, a human body located in the target area, a power consumption device turned off during the late night time period, and external air intentionally flowing into the target area.

8. The temperature change prediction method according to claim 7, further comprising: The step of collecting information on the non-basic thermal characteristic determining factors at a predicted time point of the temperature change amount of the target area; and The target relationship information is calculated by correcting the basic relationship information based on the information on the non-basic thermal characteristic determining factors collected at the prediction time point, The target relationship information is relationship information between the indoor and outdoor temperature difference of the target area and the temperature change amount of the target area at the prediction time point.

9. The temperature change prediction method according to claim 8, wherein: When the basic relationship information is the activation basic relationship information, the cooling and heating facilities are activated at the predicted time point.

10. The temperature change prediction method according to claim 8, further comprising: The step of applying the indoor and outdoor temperature difference at the prediction time point to the target relationship information to predict the temperature change amount during the prediction period of the target area, The prediction period includes the activity time in the target area.

11. The temperature change prediction method according to claim 10, wherein: When the basic relationship information is the closed basic relationship information, Each of the plurality of basic information is information about the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area when the cooling and heating facilities in the target area are turned off. The basic relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area when the cooling and heating facilities are turned off during the late night period. The target relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area when the cooling and heating facilities are in the off state at the prediction time point, The temperature change amount during the prediction period is the temperature change amount assuming that the cooling and heating facilities are turned off.

12. The temperature change prediction method according to claim 10, wherein: When the basic relationship information is the enabled basic relationship information, Each of the plurality of basic information is information about the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area when the cooling and heating facilities in the target area are turned on. The basic relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area when the cooling and heating facilities are turned on during the late night period. The target relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area when the cooling and heating facilities are turned on at the predicted time point. The temperature change amount during the prediction period is the temperature change amount assuming that the cooling and heating facilities are turned on.

13. The temperature change prediction method according to claim 10, wherein: The information collected about the non-basic thermal property determinants is the cloud cover corresponding to the sunlight, The step of calculating the target relationship information is to calculate the target relationship information based on the intermediate relationship information that reflects the cloud amount at the predicted time point and the pre-collected intermediate information to the basic relationship information, The intermediate relationship information includes first intermediate relationship information and second intermediate relationship information, The first intermediate relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area during the active time with the most cloud cover. The second intermediate relationship information is the relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area during the active time with the least cloud cover.

14. The temperature change prediction method according to claim 13, wherein: The intermediate information includes first intermediate information and second intermediate information, The first intermediate information is information about the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area during the active period with the most cloud cover before the predicted time point. The second intermediate information is information about the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area during the active period with the least cloud cover before the predicted time point. The first intermediate relationship information is set by reflecting the first intermediate information on the basic relationship information, and the second intermediate relationship information is set by reflecting the second intermediate information on the basic relationship information.

15. The temperature change prediction method according to claim 10, wherein: The basic relationship information corresponds to a basic relationship polynomial function that uses the indoor and outdoor temperature difference of the target area as a variable to output the temperature change amount of the target area. The first intermediate relational information corresponds to a first intermediate relational polynomial expression set by changing a constant term of the basic relational polynomial expression by using the first intermediate information. The second intermediate relational information corresponds to a second intermediate relational polynomial expression set by changing a constant term of the basic relational polynomial expression by using the second intermediate information.

16. The temperature change prediction method according to claim 15, wherein: The target relationship information corresponds to a target relationship polynomial function set in the first intermediate relationship polynomial function, the second intermediate relationship polynomial function, and a constant term of the basic relationship polynomial function that is changed by using the cloud cover at the prediction time point, The constant term of the target relational polynomial function is an intermediate value of the constant term of the first intermediate relational polynomial function and the constant term of the second intermediate relational polynomial function.

17. A temperature change prediction device, comprising: a memory that stores computer-readable instructions; and a processor configured to execute said instructions, The processor collects a plurality of basic information, and calculates basic relationship information between the indoor and outdoor temperature difference of the target area and the temperature change of the target area based on the plurality of basic information, Each of the plurality of basic information is information about the temperature change of the target area caused by the indoor and outdoor temperature difference of the target area during the late night period. 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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