Air conditioning system
The air conditioning system uses machine learning to estimate indoor temperatures and repair times, optimizing air conditioner settings to enhance energy efficiency and reduce ICT equipment failure risk.
Patent Information
- Application Number
- JP2024039112
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-13
- Publication Date
- 2025-09-29
AI Technical Summary
The allowable temperature for ICT equipment in server rooms is prone to change based on building environment and location, making it difficult to accurately calculate and manage, leading to potential malfunctions and increased energy consumption.
An air conditioning system that utilizes machine learning models to estimate indoor temperatures and allowable repair times, comparing these estimates with actual temperatures to optimize air conditioner settings for energy savings and reduced malfunction risk.
The system effectively balances energy savings and reduces the risk of ICT equipment failure by dynamically adjusting air conditioner settings based on real-time environmental and operational data.
Smart Images

Figure 2025139990000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to an air conditioning system. [Background technology]
[0002] ICT equipment (hereafter referred to as heat-generating equipment) installed in a server room generates heat during operation. As the ICT equipment generates heat, the room temperature in the server room rises. If the room temperature in the server room becomes too high, the risk of ICT equipment malfunctioning increases. For this reason, air conditioning units are installed in server rooms to prevent the room temperature from becoming too high.
[0003] Breakdown of air conditioning equipment increases the risk of ICT equipment failure. For this reason, it is common for server rooms to prepare for air conditioning equipment failure. For example, Patent Document 1 proposes a method of controlling air conditioning equipment so that the room temperature in a server room reaches a critical set temperature (hereinafter also referred to as the allowable temperature).
[0004] By controlling the temperature at the minimum allowable temperature, energy saving effects are also improved. The allowable temperature is the temperature at which the risk of ICT equipment failure is unlikely to increase during the time between when the air conditioning system stops operating and when it is restored. [Prior art documents] [Patent documents]
[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2010-133626 Summary of the Invention [Problem to be solved by the invention]
[0006] The allowable temperature as described in Patent Document 1 is prone to change depending on the building environment and the location of the manager, making it difficult to accurately calculate the allowable temperature. Another problem is that managers tend to control air conditioning at a temperature lower than the allowable temperature for fear of ICT equipment malfunctioning.
[0007] The present invention has been made to solve the above-mentioned problems, and aims to provide an air conditioning system that can estimate an indoor temperature that is likely to achieve both improved energy-saving effects and reduced risk of ICT equipment failure, and compare the estimated indoor temperature with an allowable temperature. [Means for solving the problem]
[0008] In order to achieve the above object, the present invention provides the following means. An air conditioning system according to one aspect of the present invention is an air conditioning system that uses a plurality of air conditioning units to cool a target space in which heat-generating units are arranged, and includes an acquisition unit that acquires at least one of the heat loads emitted from the heat-generating units, information about the indoor temperature, information about the outside air, and information about the air conditioning units at predetermined time intervals; a first calculation unit that calculates an allowable repair time, which is the elapsed time from when at least some of the operating air conditioning units stop until the indoor temperature of the target space rises to an allowable temperature at which the heat-generating units are unlikely to break down, and which is determined based on the heat-generating units; and a first learning model that has undergone machine learning to estimate the outside air temperature and that calculates the currently acquired allowable repair time based on the outside air environment. a second estimation unit that estimates the indoor temperature at the predetermined time intervals by inputting the heat generation load currently acquired, information related to the indoor temperature currently acquired, and the estimated outdoor air temperature into a trained second learning model that has undergone machine learning to estimate the indoor temperature; a third estimation unit that estimates an estimated temperature, which is the indoor temperature after the allowable repair time has elapsed, based on the acquired heat generation load, the acquired information related to the air conditioning device, the estimated indoor temperature, and the estimated outdoor air temperature; and a comparison unit that compares a comparison temperature based on the estimated temperature with the information related to the indoor temperature.
[0009] In the air conditioning system according to the first aspect of the present invention, the outdoor air temperature is estimated by the first estimator. The second estimator estimates the indoor temperature based on at least the estimated outdoor air temperature. The estimated temperature is calculated based on at least the estimated outdoor air temperature and the indoor temperature.
[0010] By comparing the calculated estimated temperature with the allowable temperature, the administrator can establish an optimal policy for controlling the air conditioner. The information relating to the indoor temperature preferably includes at least one of the heat load, the indoor temperature, and the outdoor temperature, but may also include information other than the above information.
[0011] The information about the outdoor environment preferably includes at least one of the outdoor temperature and weather forecast information, but may also include information other than the above information. The information about the air conditioner preferably includes at least one of the capacity of the air conditioner, the setting of the air conditioner, the outside temperature, and the energy consumption of the air conditioner, but may also include information other than the above information.
[0012] The allowable temperature is the threshold for the room temperature in a server room at which heat-generating devices are less likely to malfunction. Specifically, if the allowable temperature is exceeded, heat-generating devices are more likely to malfunction. If the temperature is below the allowable temperature, heat-generating devices are less likely to malfunction.
[0013] The allowable repair time is the time it takes for the indoor temperature in the server room to reach an allowable temperature after a failure occurs in at least one air conditioning unit. In other words, it is the target time within which the air conditioning unit must be repaired.
[0014] In a first aspect of the above invention, the air conditioning system further includes a control unit that controls the air conditioning device based on the comparison result of the comparison unit, and the control unit increases the set temperature value of the air conditioning device when the comparison temperature is equal to or lower than the allowable temperature, and decreases the set temperature value of the air conditioning device when the comparison temperature exceeds the allowable temperature.
[0015] According to the air conditioning system of the first aspect of the present invention, the air conditioner is controlled based on the comparison result. Specifically, if the comparison temperature is equal to or lower than the allowable temperature, the set temperature of the air conditioner is increased. This makes it easier to improve energy-saving effects. If the comparison temperature exceeds the allowable temperature, the set temperature of the air conditioner is decreased. This makes it easier to reduce the risk of a malfunction. In other words, by providing a control unit, it is easier to achieve both improved energy-saving effects and reduced risk of a malfunction. [Effects of the Invention]
[0016] According to the air conditioning system of the present invention, it is possible to calculate the number of air conditioners that can easily achieve both improved energy saving effects and reduced risk of ICT equipment failure, and compare this with the number of air conditioners currently in operation. [Brief explanation of the drawings]
[0017] [Figure 1] 1 is a block diagram illustrating the configuration of an air conditioning system according to a first embodiment of the present invention. [Figure 2] 1 is a graph showing allowable temperatures and allowable repair times. [Figure 3] 10 is a flowchart illustrating processing by the control device. [Figure 4] FIG. 5 is a block diagram illustrating the configuration of an air conditioning system according to a second embodiment of the present invention. [Figure 5] 10 is a flowchart illustrating processing by a control device according to a second embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION
[0018] [First embodiment] An air conditioning system 10 according to a first embodiment of the present invention will be described with reference to Figures 1 to 3. The air conditioning system 10 of this embodiment is a system that controls an air conditioning device 900, and is a system that makes it easier to improve the energy-saving effect of the air conditioning device 900 and reduce the risk of a failure occurring in ICT equipment.
[0019] 1, the air conditioning system 10 of this embodiment is made up of an air conditioner 900, a heat generating device 500, and a control device 100. The air conditioning system 10 may have a configuration other than that described above.
[0020] The air conditioner 900 is configured to take in indoor air, cool it, and supply the cooled air to the room. In this embodiment, an example will be described in which the air conditioner 900 is provided with at least two or more combinations of one outdoor unit and one indoor unit. Note that the combinations of indoor units and outdoor units may be combinations other than those described above. For example, the air conditioner 900 may be provided with at least one or more combinations of one outdoor unit (not shown) and at least two or more indoor units (not shown).
[0021] The outdoor unit is configured to exchange heat between a refrigerant and outside air or water. The outdoor unit is connected to the indoor unit through piping through which the refrigerant flows. The outdoor unit is also equipped with a compressor (not shown) that increases the pressure of the refrigerant and an outdoor heat exchanger (not shown) that cools the drawn-in air through heat exchange.
[0022] The indoor units are configured to discharge cooled air into the rooms. The indoor units are connected to the outdoor units through pipes through which a refrigerant flows. The indoor units are also equipped with an air conditioning fan (not shown) that discharges the air that has undergone heat exchange, and an indoor heat exchanger (not shown) that cools the air that is discharged through heat exchange.
[0023] The heat-generating device 500 is an information processing device having a CPU (Central Processing Unit), ROM, RAM, an input / output interface, etc. In this embodiment, the heat-generating device 500 is also referred to as a server device or an ICT device.
[0024] The control device 100 of this embodiment is connected to the air conditioning device 900 and the heat generating device 500 so as to be able to transmit information via known wired or wireless information communication means. The control device 100 is also connected between the air conditioning device 900 and the heat generating device 500 so as to be able to transmit information via a known wireless communication network or a combination of a wireless communication network and a wired communication network.
[0025] The control device 100 is a device that compares the required number of air conditioners 900 with the number of operating air conditioners. The required number and the number of operating air conditioners will be described later. The control device 100 is an information processing device such as a server device that has a CPU (central processing unit), ROM, RAM, an input / output interface, etc. As shown in FIG. 1 , the program stored in the storage device such as the ROM causes the CPU, ROM, RAM, and input / output interface to cooperate with each other to function at least an acquisition unit 101, a memory unit 102, a first estimation unit 103, a second estimation unit 104, a third estimation unit 105, a first calculation unit 106, a second calculation unit 107, and a comparison unit 108.
[0026] The acquisition unit 101 is connected to the air conditioning device 900 and the heat generating device 500 so that information can be communicated, and is configured to acquire information about the outside air, information about the indoor temperature, information about the air conditioning device 900, and information about the heat generating device 500 (hereinafter also referred to as various types of information) at predetermined time intervals.
[0027] The information about the outside air is information indicating environmental information about the outside air. In this embodiment, the information about the outside air preferably includes at least one of information about the outside air temperature and information about a weather forecast. Note that the weather forecast information may be obtained from a communication device (not shown).
[0028] The information about the indoor temperature is information about the room of the building in which the air conditioner 900 is installed, and is information that indicates environmental information about the room, including the indoor temperature. In this embodiment, an example will be described in which the room is a server room. The information about the indoor temperature may also include a heat generation load and an outside air temperature in addition to the indoor temperature.
[0029] The information related to the air conditioner 900 is information acquired from the air conditioner 900. In this embodiment, the information related to the air conditioner 900 preferably includes the number of operating air conditioners 900, their operating status, and the amount of energy consumed by the air conditioner 900. The information related to the air conditioner 900 may also include the indoor temperature and the outdoor temperature.
[0030] The number of operating units is the number of air conditioners 900 that are operating when the acquisition unit 101 acquires information related to the air conditioners 900. In other words, it is the number of air conditioners 900 that are currently operating.
[0031] The operating state is information indicating the control state of the air conditioner 900, and preferably includes the on / off state of the air conditioner 900, the operating setting, and the set temperature. The amount of energy consumed by the air conditioner 900 refers to the amount of energy consumed by the operation of the air conditioner 900. In this embodiment, the amount of energy consumed by the air conditioner 900 that is currently operating will be described.
[0032] The information relating to the heat generating device 500 is information acquired from the heat generating device 500. In this embodiment, the information relating to the heat generating device 500 preferably includes at least the heat load generated by the heat generating device 500.
[0033] The storage unit 102 is an information storage medium configured to store various types of information. The storage unit 102 may be a flash memory such as an SD memory card, or may be a recording medium of another type.
[0034] The first estimation unit 103 is configured to estimate the next outside air temperature at predetermined time intervals. In this embodiment, the first estimation unit 103 is configured to input the following information to the first learning model.
[0035] The information input to the first learning model is the information about the outdoor air that has been acquired this time. The first learning model is a model that has been trained by machine learning. A known learning method can be used as the machine learning method.
[0036] Next, the relationship between the current time and the next time will be explained. The control device 100 performs calculation processing at predetermined time intervals. The present time refers to the timing at which the control device 100 performs the calculation process.
[0037] The next time is a time when the control device 100 is not performing calculation processing, and is a time after the current first point. The second estimation unit 104 is configured to estimate the next indoor temperature at predetermined time intervals. In this embodiment, the second estimation unit 104 is configured to input the following information to the second learning model.
[0038] The information input to the second learning model is information related to the currently acquired indoor temperature and the next outdoor temperature. In other words, the outdoor temperature estimated by the first estimation unit 103 is input to the second learning model. Note that the information input to the second learning model may include the currently acquired outdoor temperature instead of the next outdoor temperature. The second learning model is a model that has been trained by machine learning. A known learning method can be used for machine learning.
[0039] The third estimation unit 105 is configured to estimate information about the air conditioner 900 that takes into account the next indoor temperature and the next outdoor temperature at predetermined time intervals (hereinafter also referred to as information about the next air conditioner 900). In other words, the information about the next air conditioner 900 is information about the air conditioner 900 that is calculated based on the next indoor temperature and the next outdoor temperature, rather than the acquired indoor temperature and the acquired outdoor temperature. In this embodiment, the third estimation unit 105 is configured to input information described below into the third learning model.
[0040] The information input to the third learning model includes the next outdoor temperature, the next indoor temperature, and information related to the current air conditioner 900. Note that the information input to the third learning model may include information on the currently acquired outdoor temperature and the currently acquired indoor temperature instead of the next outdoor temperature and the next indoor temperature. The third learning model is a model that has been trained by machine learning. A known learning method can be used as the machine learning method.
[0041] The second calculation unit 107 is configured to calculate the allowable repair time based on the next outdoor temperature, the next indoor temperature, the next information about the air conditioner 900, and the allowable temperature. A specific method for calculating the allowable repair time will be described later.
[0042] The allowable temperature is a threshold value of the room temperature in the server room at which the heat-generating device 500 is unlikely to malfunction. Specifically, if the allowable temperature is exceeded, the heat-generating device 500 is likely to malfunction. If the temperature is equal to or lower than the allowable temperature, the heat-generating device 500 is unlikely to malfunction.
[0043] The allowable repair time is the time from when a failure occurs in at least one air conditioner 900 until the indoor temperature in the server room reaches an allowable temperature. In other words, it is the target time within which the air conditioner 900 must be repaired.
[0044] The relationship between the allowable repair time and the allowable temperature will be explained with reference to FIG. 2. In FIG. 2, the vertical axis represents the indoor temperature, and the horizontal axis represents time. In FIG. 2, the change in indoor temperature is shown by lines DA and DB, the allowable temperature is shown by line DC, and the allowable repair time is shown by line DD. Line DA is the indoor temperature when no failure occurs in the air conditioner 900. Line DB is the indoor temperature when a failure occurs in at least one air conditioner 900. Line DD is the change in time from when a failure occurs in the air conditioner 900 until the indoor temperature reaches the allowable temperature.
[0045] Point P is the timing when a failure occurs in at least one or more air conditioners 900. Point Q is the timing when the room temperature reaches the allowable temperature. The first calculation unit 106 is configured to calculate an estimated temperature based on at least the next outdoor temperature, the next indoor temperature, the allowable temperature, the allowable repair time, and information related to the air conditioner 900. Furthermore, the first calculation unit 106 calculates a comparison temperature based on the estimated temperature.
[0046] The estimated temperature is the minimum temperature setting for the air conditioner 900 required to control the temperature in the server room to an indoor temperature that is unlikely to cause a malfunction in the heat generating device 500. Note that the estimated temperature may be a different set temperature for each air conditioner 900.
[0047] The comparison temperature is the change in the room temperature caused by the air conditioner 900 being operated at the estimated temperature. The comparison unit 108 is configured to compare the comparison temperature with the current indoor temperature. The comparison result (hereinafter also referred to as the comparison result) is stored in the storage unit 102. It is preferable that the comparison result be transmitted to the administrator of the server.
[0048] Next, the operation of the control device 100 configured as described above will be described. First, the air conditioner 900 will be described, second, the heat generating device 500 will be described, third, the control of the control device 100 will be described, and fourth, the learning method of the learning model will be described.
[0049] The mechanism by which the air conditioner 900 cools a room will now be described. The air conditioner 900 rotates the air conditioning fan to draw indoor air into the indoor unit. The drawn-in air is cooled in the indoor heat exchanger. Specifically, the temperature of the drawn-in air is lowered as heat is absorbed by the refrigerant circulating between the indoor unit and the outdoor unit. The refrigerant that absorbed the heat then releases the heat to the outside air in the outdoor heat exchanger. The refrigerant that released the heat then absorbs heat from the drawn-in air again in the heat exchanger. In other words, the drawn-in air is cooled by the refrigerant.
[0050] The cooled air is discharged into the room by the air conditioning fan. The air discharged into the room is warmed by heat radiated from the people and electronic devices in the room. The warmed air is then drawn into the air conditioner 900 again.
[0051] Secondly, the heat generating device 500 will be described. The heat generating device 500 is an information communication device. In this embodiment, an example in which a server is provided will be described. The heat generating device 500 performs information processing work and thereby emits heat into a server room. By emitting heat, the temperature inside the server room increases.
[0052] Next, the control of the control device 100 will be described with reference to Fig. 2. When control in the control device 100 is started, the acquisition unit 101 performs a process of acquiring various information from the air conditioner 900 and the heat generating device 500 at predetermined time intervals (S1). In this embodiment, the predetermined time interval is preferably one hour. The acquired various information is stored in the storage unit 102.
[0053] After the various information is stored, the first estimation unit 103 performs a process of estimating the next outside air temperature based on the information about the outside air (S2). The estimated next outside air temperature is stored in the storage unit 102.
[0054] Once the estimated next outdoor temperature is stored, the second estimation unit 104 performs a process of estimating the next indoor temperature based on the information related to the indoor temperature and the estimated outdoor temperature (S3). The estimated next indoor temperature is stored in the memory unit 102.
[0055] Once the next indoor temperature is stored, the third estimation unit 105 performs a process of estimating information about the next air conditioner 900 based on the acquired information about the air conditioner 900, the next outdoor temperature, and the next indoor temperature (S4). The estimated information about the next air conditioner 900 is stored in the storage unit 102.
[0056] Once the next outdoor temperature and the next indoor temperature are stored, the third estimation unit 105 performs a process of calculating the allowable repair time (S5). Specifically, the allowable repair time can be calculated by inputting the next outdoor temperature and the next indoor temperature into Equation 1.
[0057]
number
[0058] (Equation 1) is an equation that shows the thermal balance in a room. Θr is a variable that indicates the indoor temperature. Θr / d T is a variable that indicates the change in indoor temperature over time.
[0059] Ws is a variable related to the exterior wall load. In other words, it is a variable that indicates the amount of heat that changes due to the wall that separates the inside and outside of a building. Θs is a variable that indicates the equivalent outdoor temperature, which is the outdoor temperature calculated by taking into account the amount of solar radiation.
[0060] Wn is a variable that indicates the wall load, in other words, the amount of heat that is transferred by the walls of a building. Θn is a variable that indicates the indoor temperature.
[0061] Wv is a variable that indicates the ventilation load, or in other words, the amount of heat that changes due to ventilation. Θo is a variable indicating the outside air temperature.
[0062] Nc is a variable indicating the number of air conditioners 900 in operation or the required number. H BA is a variable indicating the rated capacity of the air conditioner 900. C r is the coefficient of variation of the capacity of the air conditioner 900 depending on the room temperature.
[0063] Θ Bris the coefficient of variation of the air conditioning capacity of the air conditioner 900 depending on the room temperature. C O is a variable indicating the capacity of the air conditioner 900. Θ BO is the coefficient of variation of air conditioning capacity due to outside temperature.
[0064] The calculated allowable repair time is stored in the storage unit 102. Once the allowable repair time is stored, the first calculation unit 106 performs a process of calculating the required number of units (S6). The calculated allowable repair time and allowable repair temperature are stored in the memory unit 102. Once the allowable repair time and allowable repair temperature are stored, the first calculation unit 106 performs a process of calculating a comparison temperature (S6). Specifically, the estimated temperature is calculated by inputting information related to the next outside temperature, the next indoor temperature, the allowable repair time, and the allowable repair temperature into (Equation 1). The comparison temperature can be calculated by adding a margin to the calculated estimated temperature. The calculated comparison temperature is stored in the memory unit 102.
[0065] Once the comparison temperature is stored, the comparison unit 108 performs a process of comparing the current indoor temperature with the comparison temperature (S7). Specifically, the comparison unit 108 compares whether the current indoor temperature is higher than the comparison temperature. The comparison result may be communicated to an ICT terminal or the like used by the administrator.
[0066] In this embodiment, the present invention will be described as being applied to an example in which machine learning of a first learning model, a second learning model, and a third learning model is performed in an information processing device different from the control device 100. The first learning model, the second learning model, and the third learning model that have undergone machine learning are stored in the memory unit 102 before being controlled by the control device 100.
[0067] Furthermore, after control by the control device 100 is performed, the first learning model, the second learning model, and the third learning model that have been further subjected to machine learning may be stored in the storage unit 102. In this case, the previously stored first learning model, the second learning model, and the third learning model are replaced with the first learning model, the second learning model, and the third learning model that have been further subjected to machine learning.
[0068] Note that machine learning of the first learning model, the second learning model, and the third learning model may be performed in different information processing devices as described above, or may be performed in the control device 100. When machine learning is performed in the control device 100, a machine learning unit that performs machine learning is provided in the control device 100. Furthermore, machine learning for one of the first learning model, the second learning model, and the third learning model may be performed in a different information processing device, and machine learning for the other may be performed in the control device 100.
[0069] The specific machine learning in the first learning model, the second learning model, and the third learning model can use well-known supervised learning, and the specific content of the calculation processing in supervised learning is not limited.
[0070] Furthermore, the method for creating the teacher data for the first learning model, the second learning model, and the third learning model can be any known method, and there are no specific limitations on the creation method.
[0071] In order to control the room temperature to a level where the heat-generating device 500 configured as described above is less likely to malfunction, an estimated temperature can be calculated, which is the minimum required set temperature for the air-conditioning device 900. By comparing the calculated estimated temperature with the current set temperature, the server administrator can establish a policy for controlling the air-conditioning device 900 that simultaneously reduces the occurrence of malfunctions in the heat-generating device 500 and improves energy-saving effects.
[0072] Furthermore, a comparison temperature is calculated based on the estimated outdoor temperature and the estimated indoor temperature. By comparing the calculated comparison temperature with the indoor temperature, the administrator can establish an optimal control policy for the air conditioner 900.
[0073] Second Embodiment Next, a second embodiment of the present invention will be described with reference to FIGS. The air conditioning system 10A of this embodiment is similar to that of the first embodiment, but the configuration of the control device 100A is different from that of the first embodiment. Therefore, in this embodiment, only the configuration of the control device 100A will be described, and other descriptions will be omitted.
[0074] As shown in Fig. 3, the control device 100A is an information processing device such as a server having a CPU (Central Processing Unit), a ROM, a RAM, an input / output interface, etc. As shown in Fig. 1, the programs stored in the storage device such as the ROM cause the CPU, the ROM, the RAM, and the input / output interface to cooperate with each other to cause at least an acquisition unit 101, a storage unit 102, a first estimation unit 103, a second estimation unit 104, a first calculation unit 106, a second calculation unit 107, a comparison unit 108, and a control unit 109A to function.
[0075] The control unit 109A is configured to control the air conditioner 900 based on the comparison result. Specifically, if the comparison temperature is equal to or lower than the current set temperature, the set temperature value can be lowered, and if the comparison temperature exceeds the set temperature, the set temperature value can be raised.
[0076] Next, the operation of the air conditioning system 10A configured as described above will be described. The description of the air conditioning device 900, the processing in FIG. 2, and the learning method of the learning model are the same as those in the first embodiment, so the description will be omitted. Note that FIG. 5 is a diagram showing the processing after the processing of S7 in FIG. 3.
[0077] The comparison result obtained in the process of S7 is stored in the storage unit 102. Based on the stored comparison result, the control unit 109A performs a process to control the air conditioner 900 (S11). Note that the control performed by the control unit 109A differs depending on whether the comparison temperature is higher than the set temperature (comparison temperature > set temperature), whether the comparison temperature is the same as the set temperature (comparison temperature = set temperature), or whether the comparison temperature is lower than the set temperature (comparison temperature < set temperature), and each of these cases will be described below.
[0078] First, the case where the comparison temperature is higher than the set temperature (comparison temperature>set temperature) will be described. When the comparison temperature is higher than the set temperature, the control unit 109A performs processing to increase the set temperature (S12).
[0079] Next, the case where the comparison temperature is the same as the set temperature (comparison temperature=set temperature) will be described. When the comparison temperature is the same as the set temperature, control unit 109A maintains the current set temperature (S13).
[0080] Next, a case where the comparison temperature is lower than the set temperature will be described. When the comparison temperature is lower than the set temperature, the control unit 109A lowers the set temperature (S14). According to the air conditioning system 10A configured as described above, the provision of the control unit 109A makes it easier to improve energy saving effects and reduce the risk of failure at the same time. Furthermore, the air conditioner 900 is operated at a set temperature that improves energy saving effects and reduces the risk of failure at the same time, without the need for operator operation.
[0081] The technical scope of the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the present invention. For example, the present invention is not limited to applications of the above-described embodiments, and may be applied to embodiments in which these embodiments are appropriately combined, and is not particularly limited. [Explanation of symbols]
[0082] 10, 10A...air conditioning system, 100...control device 100A, 101...acquisition unit, 102...memory unit, 103...first estimation unit, 104...second estimation unit, 105...third estimation unit, 106...first calculation unit, 107...second calculation unit, 108...comparison unit, 109A...control unit, 500...heat generation device, 900...air conditioning device.
Claims
1. An air conditioning system that cools a target space in which a heat generating device is disposed by a plurality of air conditioning devices, an acquisition unit that acquires at least one of information regarding a heat load generated by the heat generating device, information regarding an indoor temperature, information regarding outside air, and information regarding the air conditioning device at predetermined time intervals; a first calculation unit that calculates an allowable repair time, which is the elapsed time from when at least some of the operating air conditioners stop until the indoor temperature of the target space rises to an allowable temperature at which the heat-generating devices are unlikely to break down, and which is determined based on the heat-generating devices; a first estimation unit that estimates the outside air temperature at the predetermined time intervals by inputting the currently acquired information about the outside air environment into a trained first learning model that has undergone machine learning to estimate the outside air temperature; a second estimation unit that estimates the indoor temperature at the predetermined time intervals by inputting the currently acquired heat generation load, information related to the currently acquired indoor temperature, and the estimated outdoor air temperature into a trained second learning model that has undergone machine learning to estimate the indoor temperature; a third estimation unit that estimates an estimated temperature, which is the indoor temperature after the allowable repair time has elapsed, based on the acquired heat generation load, the acquired information about the air conditioner, the estimated indoor temperature, and the estimated outdoor temperature; a comparison unit that compares a comparison temperature based on the estimated temperature with information about the indoor temperature; An air conditioning system comprising:
2. The air conditioning system further includes a control unit that controls the air conditioning device based on a comparison result of the comparison unit, The air conditioning system according to claim 1, characterized in that the control unit increases the set temperature of the air conditioner when the comparison temperature is equal to or lower than the allowable temperature, and decreases the set temperature of the air conditioner when the comparison temperature exceeds the allowable temperature.
Citation Information
Patent Citations
Method of controlling linkage between air conditioning facility and ICT equipment
JP2010133626A