Setting method, program, and setting system

Abstract

The objective of the present disclosure is to suppress power consumption of at least one control appliance while ensuring a comfort level defined on the basis of a Predicted Mean Vote (PMV). A calculating unit (24) obtains: an average value (μ) of the PMV in a specific space; a standard deviation (σ) of the PMV in the specific space; a volume (V2) of a region of the specific space in which the PMV lies within a specific numerical range; and a PMV space volume ratio (V2 / V1), which is the ratio of the volume (V2) to a volume (V1) of the specific space. A determining unit (25) obtains, as suitable setting information, setting information when expressions [1], [2], and [3], or expressions [3], [4], and [5] are satisfied. [1]: μ>0 [2]: μ+A×σ≤X [3]: V2 / V1≥Y [4]: μ<0 [5]: μ-A×σ≥-X Here, A, X, and Y are positive constants.

Description

Setting method, program and setting system

[0001] The present disclosure generally relates to a setting method, a program, and a setting system, and more particularly to a setting method, a program, and a setting system for controlling a predicted mean vote (PMV), which is a value that represents a comfort rating of a space.

[0002] The setting value calculation system (setting system) described in Patent Document 1 calculates setting values ​​for one or more air conditioners installed in a building. The setting value calculation system generates a mathematical model of the comfort index by approximating the comfort index. Furthermore, the setting value calculation system calculates setting values ​​for one or more setting items of the one or more air conditioners based on the mathematical model and using the comfort index.

[0003] International Publication No. 2018 / 211559

[0004] The present disclosure aims to provide a setting method, program, and setting system that can reduce the power consumption of at least one control device while ensuring comfort defined based on PMV.

[0005] A setting method according to one aspect of the present disclosure is a setting method for determining adaptive setting information. The adaptive setting information corresponds to setting information specifying at least one of one or more operating parameters related to the operating state of at least one control device and one or more positional parameters indicating the installation location of the at least one control device. The at least one control device changes a PMV in a space including a specific space. The setting method includes an analysis step, a calculation step, and a determination step. In the analysis step, a PMV distribution in the specific space is determined by spatial analysis based on the setting information. In the calculation step, a mean value μ of the PMV in the specific space, a standard deviation σ of the PMV in the specific space, a volume V2 of a region in the specific space where the PMV is within a specific numerical range, and a PMV space volume ratio V2 / V1, which is the ratio of the volume V2 to the volume V1 of the specific space, are determined based on the PMV distribution. In the determination step, when the at least one control device controls the temperature of the specific space to be lower than the outside air temperature, the setting information when formulas [1], [2], and [3] are satisfied is determined as the suitable setting information. Alternatively, in the determination step, when the at least one control device controls the temperature of the specific space to be higher than the outside air temperature, the setting information when formulas [3], [4], and [5] are satisfied is determined as the suitable setting information. μ>0 ... [1] μ+A×σ≦X ... [2] V2 / V1≧Y ... [3] μ<0 ... [4] μ−A×σ≧−X ... [5] where A, X, and Y are positive constants.

[0006] A program according to one aspect of the present disclosure is a program for causing one or more processors of a computer system to execute the setting method.

[0007] A setting system according to one aspect of the present disclosure calculates adaptive setting information. The adaptive setting information corresponds to setting information specifying at least one of one or more operating parameters related to the operating state of at least one control device and one or more location parameters indicating the installation location of the at least one control device. The at least one control device changes a PMV in a space including a specific space. The setting system includes an analysis unit, a calculation unit, and a determination unit. The analysis unit calculates a PMV distribution in the specific space through spatial analysis based on the setting information. The calculation unit calculates, based on the PMV distribution, a mean value μ of the PMV in the specific space, a standard deviation σ of the PMV in the specific space, a volume V2 of a region in the specific space where the PMV is within a specific numerical range, and a PMV space volume ratio V2 / V1, which is the ratio of the volume V2 to the volume V1 of the specific space. When the at least one control device controls the temperature of the specific space to be lower than the outside air temperature, the determination unit determines, as the suitable setting information, the setting information when formulas [1], [2], and [3] are satisfied. Alternatively, when the at least one control device controls the temperature of the specific space to be higher than the outside air temperature, the determination unit determines, as the suitable setting information, the setting information when formulas [3], [4], and [5] are satisfied. μ>0 ... [1] μ+A×σ≦X ... [2] V2 / V1≧Y ... [3] μ<0 ... [4] μ-A×σ≧-X ... [5] where A, X, and Y are positive constants.

[0008] FIG. 1 is a block diagram of a setting system according to one embodiment. FIG. 2 is a schematic diagram of a space to be analyzed by the setting system. FIG. 3 is a graph showing an example of a PMV distribution of a specific space within the space to be analyzed by the setting system. FIG. 4 is a graph showing an example of a PMV distribution of a specific space realized by the setting system. FIG. 5 is a graph showing another example of a PMV distribution of a specific space realized by the setting system. FIG. 6 is a flowchart showing an example of the operation of the setting system. FIG. 7 is a flowchart showing an example of the operation of the setting system.

[0009] (Embodiments) A setting method, a program, and a setting system 1 according to embodiments will be described below with reference to the drawings. However, the following embodiment is merely one of various embodiments of the present disclosure. The following embodiment can be modified in various ways depending on the design, etc., as long as the object of the present disclosure can be achieved. Furthermore, each figure described in the following embodiments is a schematic diagram, and the ratios of the sizes and thicknesses of the components in the figures do not necessarily reflect the actual dimensional ratios.

[0010] (Overview) A setting system 1 according to this embodiment shown in Fig. 1 is used to perform settings relating to at least one control device 3. The at least one control device 3 includes, for example, an air conditioning device 30 (see Fig. 2).

[0011] The setting system 1 obtains suitable setting information. The suitable setting information is information indicating settings recommended by the setting system 1 for at least one control device 3. The suitable setting information for the air conditioning equipment 30 includes, for example, some or all of the set temperature, set humidity, air volume, air direction (up / down and left / right), and installation position of the air conditioning equipment 30.

[0012] The setting system 1 can perform settings for at least one control device 3 based on the compatible setting information. The setting system 1 can set, for example, the set temperature of an air conditioning device 30. After the setting system 1 obtains the compatible setting information, a user may refer to the compatible setting information and perform settings for at least one control device 3. For example, the user may refer to the compatible setting information and set the set temperature of the air conditioning device 30 by operating a remote control for the air conditioning device 30, for example.

[0013] In the present disclosure, "PMV" is an index that quantitatively represents the thermal sensation felt by humans. The PMV distribution in space SP1 is a collection of PMVs at each position within space SP1. The PMV at a specific position within space SP1 is calculated from the air temperature, radiant temperature, humidity (relative humidity), wind speed, human metabolic rate, and the amount of clothing worn by the person at the specific position. In the following description, when "temperature" is simply mentioned, it refers to the air temperature.

[0014] The formula for calculating PMV is described in, for example, Reference 1. Reference 1: "ISO7730 Third Edition 2005-11-15 Ergonomics of the thermal environment - Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria"

[0015] The smaller the PMV, the colder the environment will be felt by humans. On the other hand, the larger the PMV, the hotter the environment will be felt by humans. Generally, the closer the PMV is to zero, the more comfortable the user will be. PMV, including its calculation method, complies with standards such as ISO 7730 (Third edition 2005-11-15).

[0016] The operation of at least one control device 3 can change the PMV in space SP1 (see FIG. 2 ). For example, when the air conditioning device 30 performs heating or cooling operation, the temperature of space SP1 changes, and the PMV changes accordingly. The PMV can take different values ​​for each coordinate in space SP1. The operation of at least one control device 3 can change the PMV distribution in space SP1.

[0017] The setting system 1 analyzes the PMV distribution of a specific space SP10 (see FIG. 2) within the space SP1 when at least one control device 3 is operated based on the compatible setting information. Based on the obtained PMV distribution, the setting system 1 determines whether the specific space SP10 is a comfortable space for the user. The setting system 1 obtains compatible setting information that makes the specific space SP10 a comfortable space for the user and reduces the power consumption of at least one control device 3. As an example, a comfortable space specifically refers to an environment in which the PMV is greater than or equal to -0.5 and less than or equal to +0.5.

[0018] The setting system 1 of this embodiment is expressed in the following manner. The setting system 1 obtains suitable setting information. The suitable setting information corresponds to setting information that specifies at least one of one or more operating parameters related to the operating state of the at least one control device 3 and one or more position parameters that indicate the installation position of the at least one control device 3. The at least one control device 3 changes the PMV in a space SP1 that includes a specific space SP10.

[0019] 1, the setting system 1 includes an input processing unit 21, an analysis unit 23, a calculation unit 24, and a determination unit 25. The input processing unit 21 accepts input of information. The analysis unit 23 obtains a PMV distribution of the specific space SP10 by spatial analysis based on the setting information. The spatial analysis includes a process of generating a thermal simulation model of the specific space SP10 (thermal environment analysis) based on the information input to the input processing unit 21.

[0020] Based on the PMV distribution, the calculation unit 24 calculates the average value μ of the PMV of the specific space SP10, the standard deviation σ of the PMV of the specific space SP10, the volume V2 of the region of the specific space SP10 where the PMV is within a specific numerical range, and the PMV space volume ratio V2 / V1, which is the ratio of the volume V2 to the volume V1 of the specific space SP10. When at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature, the determination unit 25 determines, as the suitable setting information, the setting information when formulas [1], [2], and [3] are satisfied. Alternatively, when at least one control device 3 controls the temperature of the specific space SP10 to be higher than the outside air temperature, the determination unit 25 determines, as the suitable setting information, the setting information when formulas [3], [4], and [5] are satisfied. μ>0 [1] μ+A×σ≦X [2] V2 / V1≧Y [3] μ<0 [4] μ−A×σ≧−X [5] Here, A, X, and Y are positive constants.

[0021] That is, the conforming configuration information is the configuration information that satisfies the expressions [1], [2], and [3] or the expressions [3], [4], and [5].

[0022] For example, the constant X is 0.5 and the constant Y is 0.9.

[0023] Note that the specific space SP10 referred to in the present disclosure does not have to be the entire space SP1 partitioned by walls, floors, ceilings, etc. of a room, but may be a part of the entire space. For example, only an area where a person stays, such as around a desk, may be the specific space SP10. In other words, the specific space SP10 does not have to be a space partitioned off from other spaces.

[0024] The specific space SP10 is, for example, a space in the range of 0.1 m to 1.7 m above the floor and a rectangular parallelepiped space that is 1 m or more away from the wall.

[0025] The definition of specific space SP10 and comfort can be based on the Well Certification standards. The URL for the website of the International WELL Building Institute, the certification body for Well Certification, is "https: / / www.wellcertified.com / ".

[0026] 3 to 5 each show a PMV distribution. When focusing on a certain value of PMV, the higher the frequency, the larger the volume of the region where the PMV matches the certain value.

[0027] Constant A can be designed based on the relationship between mean value μ, standard deviation σ, and constant X. For example, constant A is set using statistical methods so that the region where PMV is greater than +0.5 in the PMV distribution graph in Figure 4 accounts for 10% of the total. In this case, the entire area of ​​the PMV curve corresponds to volume V1, and the area of ​​the PMV curve where PMV is between -0.5 and +0.5 corresponds to volume V2. In this case, V2 / V1 is 0.9, which satisfies equation [3].

[0028] According to this embodiment, it is possible to reduce the power consumption of at least one control device 3 while ensuring comfort defined based on the PMV. If the control device 3 is an air conditioner 30 and performs cooling operation, a higher cooling set temperature reduces power consumption. Generally, raising the set temperature by 1°C reduces power consumption by 10%. On the other hand, the higher the temperature, the greater the PMV. Therefore, compared to μ = 0, when μ > 0, the set temperature and the overall temperature of the specific space SP10 are higher, and the power consumption of the control device 3 is reduced. Furthermore, when the control device 3 is operated in heating mode, the positive and negative signs of μ are reversed, but the same is true. During heating operation, when μ < 0, the set temperature is lower than when μ = 0, and power consumption is reduced.

[0029] If only Equation [3] is required, then the adaptive setting information can be calculated so that a PMV distribution with a mean PMV of 0 is achieved in the specific space SP10, as shown in Figure 3. Following the example above, if the constant Y is 0.9, then 5% of the specific space SP10 has a PMV value less than -0.5 and 5% has a PMV value greater than +0.5. In this case, the PMV standard deviation σ is greater than the PMV standard deviation σ shown in Figure 4. A larger standard deviation σ indicates a higher tolerance for variation in the PMV distribution in the specific space SP10. While this is desirable from a comfort perspective, power consumption is greater when μ = 0 (Figure 3) than when μ > 0 (Figure 4). In other words, conventional thermal comfort design alone cannot achieve both comfort and reduced power consumption.

[0030] On the other hand, in this embodiment, the adaptive setting information is obtained so that the expressions [1], [2], and [3] or the expressions [3], [4], and [5] are satisfied.

[0031] Assuming that the control device 3 is operating in cooling mode, if equations [1], [2], and [3] are satisfied, the average value μ of the PMV is set to a positive value, and the standard deviation σ of the PMV and the constant A are set using the above-described method, and the suitable setting information is obtained, as shown in Figure 4. When the average value μ is a positive value, the average temperature of the specific space SP10 is higher than when μ = 0. Therefore, when at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature, the power consumption of at least one control device 3 can be reduced by obtaining suitable setting information that satisfies equations [1], [2], and [3].

[0032] Assuming that the control device 3 is in heating operation, if equations [3], [4], and [5] are satisfied, the average value μ of the PMV is set to a negative value, and the standard deviation σ of the PMV and the constant A are set in the above-described manner, as shown in Figure 5, to obtain the suitable setting information. When the average value μ is a negative value, the average temperature of the specific space SP10 will be lower than when μ = 0. Therefore, when at least one control device 3 controls the temperature of the specific space SP10 to be higher than the outside air temperature, the power consumption of at least one control device 3 can be reduced by obtaining the suitable setting information that satisfies equations [3], [4], and [5].

[0033] Furthermore, functions similar to those of the setting system 1 can be realized by a setting method. The setting method of this embodiment is a setting method for obtaining suitable setting information. The suitable setting information corresponds to setting information that specifies at least one of one or more operating parameters related to the operating state of at least one control device 3 and one or more position parameters that indicate the installation position of at least one control device 3. At least one control device 3 changes the PMV in a space SP1 that includes a specific space SP10. The setting method includes an input step, an analysis step, a calculation step, and a determination step. The input step accepts information input. The analysis step determines the PMV distribution of the specific space SP10 through spatial analysis based on the setting information. The spatial analysis includes a process (thermal environment analysis) for generating a thermal simulation model of the specific space SP10 based on the information input in the input step. In the calculation step, based on the PMV distribution, the average value μ of the PMV of the specific space SP10, the standard deviation σ of the PMV of the specific space SP10, the volume V2 of the region of the specific space SP10 where the PMV is within a specific numerical range, and the PMV space volume ratio V2 / V1, which is the ratio of the volume V2 to the volume V1 of the specific space SP10, are calculated. In the determination step, when at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature, the setting information when formulas [1], [2], and [3] are satisfied is calculated as the suitable setting information. Alternatively, in the determination step, when at least one control device 3 controls the temperature of the specific space SP10 to be higher than the outside air temperature, the setting information when formulas [3], [4], and [5] are satisfied is calculated as the suitable setting information.

[0034] The setting method can be realized by a program. The program of this embodiment is a program for causing one or more processors of a computer system to execute the setting method. The program may be recorded on a non-transitory recording medium readable by the computer system.

[0035] (Details) (1) Control Device The setting method, program, and setting system 1 of this embodiment will be described in more detail below. First, at least one control device 3 used together with the setting system 1 will be described.

[0036] In this embodiment, a plurality of (three in FIG. 2 ) control devices 3 are provided. Each of the plurality of control devices 3 is installed at a position in the space SP1 where it is possible to change the PMV. For example, each of the plurality of control devices 3 is installed in the space SP1 (see FIG. 2 ).

[0037] Each of the plurality of control devices 3 changes at least one of the air temperature, radiation temperature, humidity, and wind speed at each point in the space SP1, thereby changing the PMV distribution in the space SP1.

[0038] As an example, the multiple control devices 3 include air conditioning devices 30. That is, as an example, at least one of the multiple control devices 3 is an air conditioning device 30. Also, as an example, the multiple control devices 3 may include at least one of a ventilation device, an electric fan, a ceiling fan, a heat pipe, and a stove. In FIG. 2, the multiple control devices 3 include a ventilation device. Specifically, in FIG. 2, the multiple control devices 3 include an air supply ventilation device 31 and an air exhaust ventilation device 32.

[0039] The space SP1 is, for example, an indoor space of a facility. The facility may be, for example, a home, a store, an office, a factory, a commercial complex, a library, an art gallery, a museum, an amusement facility, an airport, a train station, a hotel, a nursing home, or a hospital. The space SP1 of a home may be one room, one section (such as a kitchen or dining room), or the entire indoor space of the home.

[0040] (2) Setting System The setting system 1 includes a computer system having one or more processors and a memory. At least some of the functions of the setting system 1 are realized by the processor of the computer system executing a program recorded in the memory of the computer system. The program may be recorded in the memory, or may be provided via a telecommunications line such as the Internet, or may be recorded on a non-transitory recording medium such as a memory card and provided.

[0041] As shown in FIG. 1, the setting system 1 includes a storage device 11, a communication device 12, an input device 13, an output device 14, and a processing device 2.

[0042] The storage device 11 includes a hard disk drive (HDD) or a solid state drive (SSD), etc. The storage device 11 stores information. For example, the storage device 11 stores information generated by the processing device 2. The storage device 11 also stores information received by the communication device 12 and information input to the input device 13.

[0043] The communication device 12 includes a communication interface device. The setting system 1 is capable of communicating with an external system via the communication device 12. For example, the setting system 1 is capable of communicating with at least one control device 3 via the communication device 12. In the present disclosure, "capable of communication" means being able to send and receive signals directly or indirectly via a network, a repeater, or the like, using an appropriate communication method such as wired communication or wireless communication.

[0044] The input device 13 receives user operations. The input device 13 includes, for example, at least one of a button, a key switch, a touch panel, and a touch panel display that receive manual operations. The input device 13 may also include a microphone that receives voice operations.

[0045] The output device 14 outputs information related to the compatible setting information determined by the processing device 2. For example, the output device 14 outputs information representing the power consumption of at least one control device 3, determined by the processing device 2 based on the compatible setting information. The output device 14 may also output information representing the compatible setting information.

[0046] (3) Processing Device The processing device 2 includes one or more processors of a computer system that constitutes the setting system 1. The processing device 2 executes a program to realize a predetermined function.

[0047] The processing device 2 has an input processing unit 21, a sample generation unit 22, an analysis unit 23, a calculation unit 24, a determination unit 25, a heat load calculation unit 26, a power consumption calculation unit 27, and an output processing unit 28. Note that these merely indicate functions realized by the processing device 2, and do not necessarily indicate actual configurations.

[0048] The processing performed by the processing device 2 will be described with reference to Fig. 6. Note that the flowchart shown in Fig. 6 is merely an example, and the order of the processing may be changed as appropriate, and processing may be added or omitted as appropriate.

[0049] (3.1) Input Processing Unit The input processing unit 21 executes the first to sixth input steps. Each of the first to sixth input steps is a step for accepting input of information. More specifically, in the first to sixth input steps, the input processing unit 21 receives, for example, information input to the input device 13 and information input to the communication device 12 from a system external to the setting system 1.

[0050] The first input step ST1 is a step of accepting input of at least one of the target value μ_t of the mean value μ, the target value σ_t of the standard deviation σ, the constants A, X, and Y in equations [1] to [5], a specific numerical range of the PMV for defining the volume V2 in equation [3], and position information of the specific space SP10 within the space SP1. In the example shown in FIG. 6 , the input processing unit 21 accepts input of the target value μ_t of the mean value μ, the target value σ_t of the standard deviation σ, the constants A, X, and Y, and the specific numerical range of the PMV in the first input step ST1. In the first input step ST1, for example, the input processing unit 21 displays an input screen on the output device 14 for inputting each value. In the first input step ST1, the user simply inputs the desired value using the input device 13.

[0051] The WeLLv2,Q3 2022 standard (Reference 2) includes a certification standard that states that if the volume of a specific space SP10 is V1 and the volume of the area of ​​the specific space SP10 that satisfies |PMV|≦0.5 is V2, and 100×V2 / V1 (%) is 90% or greater, 3 points will be added. Here, the specific space SP10 is a space that is 0.1m to 1.7m above the floor and is a rectangular space that is 1m or more away from the wall. Reference 2 (International WELL Building Institute website): https: / / v2.wellcertified.com / en / wellv2 / thermal%20comfort / feature / 2

[0052] Therefore, for example, when Y=0.9, the specific numerical range of the PMV is a range of -0.5 or more and +0.5 or less.

[0053] As an example, X=0.5, which corresponds to the WeLLv2, Q3 2022 standard stipulating that |PMV|≦0.5 is comfortable.

[0054] As an example, the target value μ_t is a value between 0.1 and 0.3. As an example, the target value σ_t is 0.05. As an example, the constant A is a value between 0.5 and 3.0. However, the specific numerical ranges of the target value μ_t, the target value σ_t, the constant A, X, Y, and the PMV can each be set arbitrarily.

[0055] At least one of the target value μ_t of the mean value μ, the target value σ_t of the standard deviation σ, the constants A, X, Y, and the specific numerical range of the PMV may be a fixed value stored in advance in the storage device 11. In this case, in the first input step ST1, the input processing unit 21 may acquire the fixed value stored in the storage device 11.

[0056] Furthermore, once the target value μ_t, the target value σ_t, the constant X, and the constant Y are determined, the constant A can be calculated using the statistical method described above. Therefore, it is possible to omit inputting the constant A. Similarly, it is possible to omit inputting the target value μ_t, the target value σ_t, the constant X, or the constant Y.

[0057] The second input step ST2 is a step of accepting input of building information. The building information is information used by the analysis unit 23 for spatial analysis. The building information is information related to the structure of the building including the space SP1. The building information includes, for example, three-dimensional data related to the three-dimensional shape of the building. The three-dimensional data is, for example, a model that represents the building using contour lines. Alternatively, the three-dimensional data may be a wireframe model. Furthermore, the three-dimensional data is, for example, BIM (Building Information Modeling) data. The BIM data may include geographical information of the building (such as latitude and longitude).

[0058] The building information may include, for example, information about the building's material, which may include information indicating the thermal conductivity of at least one of the building's walls, floors, and ceilings.

[0059] In the second input step ST2, the setting system 1 acquires building information from, for example, a system external to the setting system 1 (such as a data server) via the communication device 12.

[0060] The third input step ST3 is a step of accepting input of weather information for a predetermined period. More specifically, the weather information input here is weather information for the area where the facility in which at least one control device 3 is installed is located. The weather information is information used by the analysis unit 23 for spatial analysis. The weather information includes, for example, information indicating at least one of temperature, humidity, wind speed, and solar radiation. The predetermined period set for analysis may be specified by the user operating the input device 13, or may be predetermined. The predetermined period may be a specific date and time, or a specific period such as one day or one week. The setting system 1 acquires weather information from, for example, a system external to the setting system 1 via the communication device 12. The weather information may be publicly available information from a meteorological organization or commercially available weather information.

[0061] The fourth input step ST4 is a step of accepting input of person information. The person information is information used by the analysis unit 23 to calculate the PMV. The person information includes information regarding the amount of clothing and metabolic rate of a person. More specifically, the person information includes, for example, information regarding the amount of clothing and metabolic rate of a user using the specific space SP10.

[0062] The amount of clothing is a value representing the heat retention and moisture retention properties of clothing. In the fourth input step ST4, for example, the input processing unit 21 displays an input screen on the output device 14 for inputting the amount of clothing. The input screen is, for example, a screen for selecting a type of clothing from multiple candidates. The correspondence between the type of clothing and the amount of clothing is pre-stored in the storage device 11. The input processing unit 21 acquires the amount of clothing corresponding to the selected type of clothing by referencing the information stored in the storage device 11. The amount of clothing input in the fourth input step ST4 is treated as the amount of clothing for the predetermined period. Note that if there are multiple users using the specific space SP10, for example, one representative amount of clothing may be input in the fourth input step ST4. The setting system 1 may perform individual analyses based on the amount of clothing worn by multiple users.

[0063] The metabolic rate is a value that depends on a person's activity level, etc. Metabolic rates generally vary depending on a person's age, gender, etc. In the fourth input step ST4, for example, an input screen for inputting the age, gender, activity level, etc. of the user using the specific space SP10 is displayed on the output device 14. The correspondence between information such as the user's age, gender, and activity level and metabolic rate is pre-stored in the storage device 11. The input processing unit 21 calculates the metabolic rate by referencing the information stored in the storage device 11. The metabolic rate calculated in the fourth input step ST4 is treated as the metabolic rate for the specified period. Note that if there are multiple users using the specific space SP10, for example, one representative metabolic rate may be used as the metabolic rate for the specified period. The setting system 1 may perform individual analyses according to the metabolic rates of multiple users.

[0064] Alternatively, input of a person's age, sex, and activity level may be omitted, and a predetermined person's attribute and activity metabolic rate may be used for the analysis. For example, the activity level of an adult male in a seated position may be used as a representative metabolic rate.

[0065] In the fourth input step ST4, the input processing unit 21 may acquire, for example, a fixed value stored in advance in the storage device 11 as the metabolic rate.

[0066] The fifth and sixth input steps will be described later.

[0067] (3.2) Sample Generation Unit After the input processing unit 21 executes the first to fourth input steps ST1 to ST4, the sample generation unit 22 executes a sample generation step ST5. The sample generation step ST5 is a step of generating a plurality of pieces of setting information. Based on the setting information generated in the sample generation step ST5, an analysis model group for the thermal simulation is created in the analysis step ST6.

[0068] As described above, the setting information is information that specifies at least one of one or more operating parameters related to the operating state of at least one control device 3 and one or more position parameters that represent the installation location of at least one control device 3.

[0069] The greater the number of control devices 3, the greater the number of position parameters. For example, three position parameters consisting of an X coordinate, a Y coordinate, and a Z coordinate are assigned to each control device 3. The number of position parameters assigned to each control device 3 may be one, two, or four or more. The one or more position parameters assigned to each control device 3 may include a parameter representing the orientation of the control device 3. If the position of the control device 3 is fixed, the setting information does not need to specify a position parameter. Furthermore, if, for example, the Z coordinate of the control device 3 is fixed, the one or more position parameters may not include the Z coordinate.

[0070] The one or more operating parameters are parameters related to space control by the control device 3. Space control refers to controlling at least one of the air temperature, radiation temperature, humidity, and wind speed in the space SP1.

[0071] At least one control device 3 includes an air conditioner 30 that conditions the air in the space SP1. Therefore, the one or more operating parameters include, for example, at least one of the set temperature, set humidity, set air volume, set air speed, and set air direction (air blowing direction) of the air conditioner 30. If, for example, the set air speed of the air conditioner 30 is fixed, the one or more operating parameters do not need to include the set air speed.

[0072] If at least one control device 3 includes a ventilation device, the one or more operating parameters include, for example, at least one of the set air volume, set air speed, and set air direction of the ventilation device.

[0073] The greater the number of control devices 3, the greater the number of operation parameters. One or more operation parameters are assigned to each control device 3.

[0074] The sample generation unit 22 determines the plurality of pieces of setting information by, for example, a design of experiments. Examples of the design of experiments that can be used include an orthogonal array method, a Latin hypercube method, and a Monte Carlo method. Table 1 shows an example of the plurality of pieces of setting information determined by the design of experiments.

[0075]

[0076] In [Table 1], the number of factors is 7. Each of the seven factors B to H is an operation parameter or a position parameter. Also, in [Table 1], the number of tests (number of setting information) is 8. In [Table 1], the level is represented by 1 or 2, and the number of levels is 2.

[0077] Factor B is, for example, the set temperature, and the levels are, for example, 23°C and 27°C.

[0078] (3.3) Analysis Unit The analysis unit 23 executes an analysis step ST6, which is a step of obtaining a PMV distribution in the specific space SP10 by space analysis based on the setting information.

[0079] First, the analysis unit 23 executes a thermal fluid simulation of the specific space SP10 using one of the plurality of pieces of setting information as an input condition. As a result, the analysis unit 23 obtains information on the thermal environment of the specific space SP10. The information on the thermal environment includes a temperature distribution. That is, the analysis unit 23 obtains the temperature distribution of the specific space SP10. The information on the thermal environment may include at least one of a humidity distribution, an average humidity, a wind speed distribution, an average wind speed, a radiation temperature distribution, and an average radiation temperature.

[0080] To execute the thermal fluid simulation, the analysis unit 23 uses the building information input in the second input step ST2 and the weather information for a predetermined period input in the third input step ST3.

[0081] Furthermore, the analysis unit 23 calculates the PMV distribution of the specific space SP10 based on the temperature distribution and the like of the specific space SP10. To calculate the PMV distribution, the analysis unit 23 uses the person information input in the fourth input step ST4. To calculate the PMV at specific coordinates, information on the radiant temperature, humidity (relative humidity), wind speed, the person's metabolic rate, and the amount of clothing worn by the person is required in addition to the air temperature at the specific coordinates. When calculating the PMV distribution of the specific space SP10, the analysis unit 23 considers the person's metabolic rate and the amount of clothing worn by the person to be constant values ​​independent of the coordinates. Furthermore, when calculating the PMV distribution of the specific space SP10, the analysis unit 23 may also consider the radiant temperature, humidity, and wind speed to be constant values ​​independent of the coordinates. This is because the design factor that most affects the PMV is temperature. However, as another example, the analysis unit 23 may calculate the distribution of at least one of the radiant temperature, humidity, and wind speed by thermal fluid simulation, thereby calculating the PMV distribution.

[0082] That is, the analysis unit 23 creates a group of analytical models for the thermal simulation based on the setting information created by the sample generation unit 22. Then, the analysis unit 23 calculates the PMV distribution based on the group of analytical models for the thermal simulation. In this way, the analysis unit 23 executes the thermal fluid simulation of the specific space SP10 using one of the multiple pieces of setting information as an input condition, and further calculates the PMV distribution.

[0083] Next, the analysis unit 23 executes a thermal fluid simulation of the specific space SP10 using another piece of setting information as an input condition, and further calculates a PMV distribution. In this way, the analysis unit 23 uses all of the setting information as input conditions, respectively, and calculates multiple PMV distributions that correspond one-to-one to the multiple pieces of setting information. In other words, the analysis unit 23 executes analysis step ST6 for each piece of setting information to calculate multiple PMV distributions based on the multiple pieces of setting information.

[0084] (3.4) Calculation Unit The calculation unit 24 executes calculation step ST7. Calculation step ST7 is a step of calculating the mean value μ of the PMV in the specific space SP10, the standard deviation σ of the PMV in the specific space SP10, the volume V2 of the region in the specific space SP10 where the PMV is within a specific numerical range, and the PMV space volume ratio V2 / V1 based on the PMV distribution calculated by the analysis unit 23. That is, the PMV distribution includes information on the mean value μ, the standard deviation σ, the volume V2, and the PMV space volume ratio V2 / V1.

[0085] The specific numerical range is, for example, the range input in the first input step ST1.

[0086] (3.5) Determination Unit The determination unit 25 executes determination step ST8, which is a step for obtaining suitable setting information.

[0087] The determination step ST8 of this embodiment includes an optimization process. The optimization process is a process of optimizing the setting information to obtain suitable setting information. That is, the determination unit 25 corresponds to an optimization processing unit (see FIG. 1) that performs the optimization process. In the determination step ST8, the determination unit 25 obtains suitable setting information by optimizing the setting information so that formulas [1], [2], and [3] or formulas [3], [4], and [5] are satisfied based on the relationship between the multiple setting information and the multiple PMV distributions obtained from the multiple setting information.

[0088] The determination unit 25 realizes the optimization process by machine learning. As the machine learning method, for example, simulated annealing, multiple regression, Bayesian optimization, steepest descent, or genetic algorithm can be adopted.

[0089] The training data for machine learning is data in which the mean value μ, standard deviation σ, and PMV space volume ratio V2 / V1 obtained from the setting information in the analysis step ST6 and the calculation step ST7 are linked to each other.

[0090] The optimization process may also be performed using statistical techniques such as multiple regression analysis and response surface methodology.

[0091] The determination unit 25 performs optimization processing to determine at least one of a set of mean values ​​μ and standard deviations σ that satisfy formulas [1], [2], and [3], and a set of mean values ​​μ and standard deviations σ that satisfy formulas [3], [4], and [5], where the constants A, X, and Y are values ​​input in the first input step ST1.

[0092] Whether or not a set of the mean value μ and the standard deviation σ satisfies the formulas [1] and [2] or the formulas [4] and [5] can be determined by calculation or the like.

[0093] Hereinafter, a set of the mean value μ and the standard deviation σ that satisfies the formulas [1], [2], and [3], or the formulas [3], [4], and [5], will be referred to as the "optimal solution of the mean value μ and the standard deviation σ."

[0094] The optimal solutions for the mean value μ and standard deviation σ can be found, for example, as follows. Analysis step ST6 and calculation step ST7 generate a plurality of pieces of training data, each of which includes a set of the mean value μ, standard deviation σ, and PMV space volume ratio V2 / V1 (i.e., PMV distribution information) found from the setting information. Based on this plurality of pieces of training data, the determination unit 25 can find, for example, the above-mentioned simulated annealing method or other machine learning techniques, a set of the mean value μ and standard deviation σ that can achieve the PMV space volume ratio V2 / V1 that satisfies Equation [3]. Thus, the determination unit 25 can find the optimal solutions for the mean value μ and standard deviation σ.

[0095] When a target value μ_t is input in the first input step ST1, the optimization process may fix the average value μ to the target value μ_t and find optimal solutions for the average value μ and standard deviation σ. Alternatively, when a target value σ_t is input in the first input step ST1, the optimization process may fix the standard deviation σ to the target value σ_t and find optimal solutions for the average value μ and standard deviation σ.

[0096] Furthermore, each of the plurality of teacher data includes setting information, and the setting information includes a set temperature, etc. The determination unit 25 can obtain an optimal solution for the mean value μ and the standard deviation σ by machine learning, and can also obtain setting information (hereinafter referred to as "candidates for suitable setting information") for realizing the optimal solution for the mean value μ and the standard deviation σ.

[0097] Through the above process, the determination unit 25 obtains one or more optimal solutions of the mean value μ and the standard deviation σ, and one or more candidates for suitable setting information. The one or more optimal solutions of the mean value μ and the standard deviation σ correspond one-to-one to the one or more candidates for suitable setting information.

[0098] When two or more suitable setting information candidates are obtained, the determination unit 25 determines the suitable setting information that is most suitable from the viewpoint of achieving both comfort and power consumption reduction from among the two or more suitable setting information candidates. When only one suitable setting information candidate is obtained, the determination unit 25 determines this suitable setting information candidate as the suitable setting information.

[0099] Assume that the formulas [1], [2], and [3], or the formulas [3], [4], and [5] are satisfied for each of two or more pieces of configuration information. In other words, assume that there are two or more candidates for suitable configuration information. In this case, the determination unit 25 determines the suitable configuration information as follows.

[0100] When at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature, the determination unit 25 determines, as the suitable setting information, the setting information that maximizes the average temperature of the specific space SP10 from among the two or more pieces of setting information (i.e., two or more candidates for suitable setting information). In other words, when at least one control device 3 is performing air conditioning operation, the determination unit 25 determines, as the suitable setting information, the setting information that maximizes the average temperature of the specific space SP10 from among the two or more candidates for suitable setting information.

[0101] When at least one control device 3 controls the temperature of the specific space SP10 to be higher than the outside air temperature, the determination unit 25 determines, as the suitable setting information, the setting information that minimizes the average temperature of the specific space SP10 from among the two or more pieces of setting information (i.e., two or more candidates for suitable setting information). In other words, when at least one control device 3 performs heating operation, the determination unit 25 determines, as the suitable setting information, the setting information that minimizes the average temperature of the specific space SP10 from among the two or more candidates for suitable setting information.

[0102] This makes it possible to reduce the power consumption of at least one control device 3 during both cooling and heating.

[0103] The suitable setting information determined in decision step ST8 is optimal setting information for the predetermined period, which reflects the weather information and amount of clothing worn during the predetermined period.

[0104] The determination unit 25 may determine whether at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature or higher than the outside air temperature based on a predetermined period. For example, if the predetermined period is included in summer, the determination unit 25 may determine that at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature. Also, for example, if the predetermined period is included in winter, the determination unit 25 may determine that at least one control device 3 controls the temperature of the specific space SP10 to be higher than the outside air temperature.

[0105] Alternatively, information indicating whether at least one control device 3 controls the temperature of specific space SP10 to be lower than the outside air temperature or higher than the outside air temperature may be input in the first input step ST1.

[0106] Alternatively, the determination unit 25 may always determine that at least one control device 3 controls the temperature of the specific space SP10 to be lower than the outside air temperature, regardless of the conditions.

[0107] Alternatively, the determination unit 25 may always determine that at least one control device 3 controls the temperature of the specific space SP10 to be higher than the outside air temperature, regardless of the conditions.

[0108] (3.6) Process for determining a thermal environment corresponding to the suitable setting information The analysis unit 23 executes step ST9. Step ST9 is a step for determining the thermal environment of the specific space SP10 corresponding to the suitable setting information determined by the determination unit 25. The analysis unit 23 performs a thermal fluid simulation using the suitable setting information as input to determine the thermal environment of the specific space SP10 corresponding to the suitable setting information. More specifically, the analysis unit 23 determines the average temperature, average humidity, average wind speed, and average radiation temperature, which are parameters representing the thermal environment. This makes it possible to confirm whether the suitable setting information determined by the determination unit 25 can be reproduced in the thermal simulation, improving the reliability of the system.

[0109] Hereinafter, the average temperature, average humidity, average wind speed, and average radiation temperature obtained in step ST9 will be referred to as the optimum temperature, optimum humidity, optimum wind speed, and optimum radiation temperature, respectively.

[0110] When the thermal insulation of the building's framework (walls, floors, ceilings, etc.) is high, the difference between the radiation temperature and the air temperature is small. Therefore, when at least one control device 3 is in cooling operation, the optimal radiation temperature may be calculated as optimal radiation temperature = optimal temperature + α (α is a positive value). α is a fixed value, for example, between 0°C and 2°C. Furthermore, when at least one control device 3 is in heating operation, the optimal radiation temperature may be calculated as optimal radiation temperature = optimal temperature - α.

[0111] Furthermore, the analysis unit 23 may obtain a PMV distribution corresponding to the compatible setting information based on the thermal environment (including the temperature distribution) obtained in step ST9.

[0112] (3.7) Heat Load Calculation Unit The heat load calculation unit 26 executes step ST10. Step ST10 is a step for calculating the heat load of space SP1 when at least one control device 3 is controlled based on the compatible setting information in the case where there is heat inflow from the external environment of the building and heat outflow to the external environment. The heat load calculated here is the heat load for a predetermined period of time.

[0113] The temperature of space SP1 is T1, the absolute humidity is H1, the outside air temperature is T2, and the absolute humidity is H2. The sensible heat load is calculated based on T1 and T2, etc. The latent heat load is calculated based on H1, H2, the amount of solar radiation, etc. Here, a steady state is assumed, and it is assumed that the heat load of space SP1 is equal to the heat load of the control device 3. In other words, the control device 3 supplies and / or discharges an appropriate amount of heat in response to fluctuations in the heat load from the outside. When multiple control devices 3 are installed in space SP1, the sensible heat load calculated as described above is the sum of the sensible heat loads of the multiple control devices 3. Furthermore, when multiple control devices 3 are installed in space SP1, the latent heat load calculated as described above is the sum of the latent heat loads of the multiple control devices 3.

[0114] The temperature T1 of the space SP1 used to calculate the sensible heat load may be the average temperature of the specific space SP10 corresponding to the compatible setting information. The average temperature of the specific space SP10 corresponding to the compatible setting information is the average temperature of the specific space SP10 calculated by the analysis unit 23 using the compatible setting information as input.

[0115] The sensible heat load can be calculated from the difference between the temperature T1 of the space SP1 and the temperature T2 of the outside air, and from information related to the thermal insulation (thermal resistance) of the building's frame. The latent heat load can also be calculated from the difference in absolute humidity inside and outside the space SP1 and the intake and exhaust volume.

[0116] Generally, the sensible heat load has a greater impact on the heat load of a house than the latent heat load. Therefore, the latent heat load may be replaced with a predetermined fixed value. For example, the humidity of space SP1, which is used as information for heat load calculation, may be fixed at a comfortable humidity range of approximately 40 to 60%.

[0117] The heat load may be calculated using general-purpose energy calculation software.

[0118] (3.8) Power Consumption Calculation Unit Power consumption calculation unit 27 executes step ST11. Step ST11 is a step of calculating the power consumption of at least one control device 3 when at least one control device 3 is controlled based on the compatible setting information. The power consumption calculated here is the power consumption over a predetermined period of time.

[0119] The calculation of the power consumption of the air conditioner 30 serving as the control device 3 will now be described. It is assumed that in the steady state of the thermal environment of space SP1, the heating and cooling capacity of the air conditioner 30 is equal to the sum of the sensible heat load and the latent heat load. The steady state of the thermal environment when calculating power consumption refers to a state in which, when there is an inflow or outflow of heat between the outside and inside of the building, the control device 3 instantly supplies and discharges that heat without excess or deficiency, thereby maintaining constant temperature and humidity.

[0120] The power consumption of the air conditioner 30 during cooling is calculated using the COP (Coefficient of Performance) of the air conditioner as follows: Power consumption (kW) = Cooling capacity (kW) / COP. Here, COP is a value listed in, for example, a catalog. Alternatively, an actual measured value may be used as the COP.

[0121] In the above formula, power consumption can be calculated by replacing the cooling capacity with (sensible heat load + latent heat load).

[0122] The power consumption of the air conditioner 30 during heating is calculated using the COP of the air conditioner as follows: Power consumption (kW) = Heating capacity (kW) / COP.

[0123] In the above formula, the power consumption can be calculated by replacing the heating capacity with (sensible heat load + latent heat load).

[0124] Furthermore, in a steady state, as described above, it is assumed that the total heat load (= sensible heat load + latent heat load) calculated by the heat load calculation unit 26 is equal to the total power consumption (the sum of the power consumption of multiple electrical devices, including at least one control device 3). This eliminates the need to consider fluctuations in total power consumption due to non-steady operation (complex control) of the air conditioning device 30. The total power consumption for an arbitrary period can be calculated by summing the total heat loads for that arbitrary period. The unit of the arbitrary period may be, for example, hours, weeks, months, or years. The multiple electrical devices may include, in addition to at least one control device 3, lighting devices, for example.

[0125] Furthermore, the total power consumption of the ventilation equipment as the control device 3 can be calculated by W1 x t1 (kWh) using the power consumption W1 (kW) of the ventilation equipment and the total usage time t1 (h) in an arbitrary period. The total power consumption of the lighting equipment can be calculated in a similar manner. This is because the power fluctuations of ventilation equipment and lighting equipment during use are small.

[0126] (3.9) Output Processing Unit The output processing unit 28 executes steps ST12 and ST13. Steps ST12 and ST13 are steps for outputting the compatible setting information. In addition, in steps ST12 and ST13, information related to the compatible setting information may be output. The information related to the compatible setting information includes, for example, information on the power consumption when at least one control device 3 is controlled based on the compatible setting information. In addition, the information related to the compatible setting information includes, for example, at least one of V2 / V1 (PMV space volume ratio), the average value μ and standard deviation σ of the PMV of the specific space SP10.

[0127] The output processing unit 28, for example, displays at least one of the compatible setting information and information related to the compatible setting information on the output device 14. Furthermore, the output processing unit 28 may, for example, transmit at least one of the compatible setting information and information related to the compatible setting information to an external system via the communication device 12. The output processing unit 28 may, for example, transmit the compatible setting information to at least one control device 3.

[0128] The control device 3 may perform various settings based on the received suitable setting information. The control device 3 may update, for example, at least one of the set temperature, set wind speed, and set wind direction based on the received suitable setting information.

[0129] Alternatively, an operator may manually set various settings of the control device 3 by referring to the compatible setting information displayed on the output device 14 .

[0130] (3.10) Calculation of Power Consumption in a Specified Period In the following, it is assumed that the specified period is a period of a certain length. The specified period may be measured in units of, for example, hours, weeks, months, or years.

[0131] As described above, in step ST11, the power consumption for a predetermined period is calculated. More specifically, first, in step ST8, suitable setting information is obtained based on the weather information and the amount of clothing worn for the predetermined period, and then, in step ST9, the optimal temperature for the predetermined period is obtained. In step ST11, the power consumption for the predetermined period is calculated based on the suitable setting information obtained in step ST8. As a result, in step ST11, the power consumption for the predetermined period is calculated, reflecting the weather information and the amount of clothing worn for the predetermined period.

[0132] The heat load calculation unit 26 and the power consumption calculation unit 27 calculate the optimum temperature and power consumption for a specified period, which is different from the predetermined period, based on the optimum temperature for the predetermined period. This will be described with reference to FIG.

[0133] In general, the optimum temperature varies depending on the season and time of day, because even if the air temperature is constant, the comfort felt by a person varies depending on the amount of clothing worn and metabolic rate.

[0134] In step ST9, the optimal temperature for a specified period is calculated. By re-setting the period and then executing steps ST1 to ST9, it is possible to calculate the optimal temperature for a specified period other than the specified period. However, if an attempt is made to calculate the optimal temperature for each of multiple periods, the calculation time for the thermal fluid simulation in analysis step ST6 becomes enormous, making it unrealistic or impractical. Therefore, the setting system 1 of this embodiment does not calculate the optimal temperature for a specified period using a thermal fluid simulation, but analytically calculates the optimal temperature for a specified period based on the optimal temperature for the specified period. The setting system 1 then calculates the power consumption for the specified period based on the optimal temperature for the specified period. By omitting the thermal fluid simulation, power consumption can be calculated quickly.

[0135] The calculation of power consumption for a specified period will be explained step by step. The input processing unit 21 executes a sixth input step ST14 (see FIG. 7 ). The sixth input step ST14 is a step of accepting input of weather information for a specified period. More specifically, the weather information input here is weather information for an area where a facility in which at least one control device 3 is installed is located. The setting system 1 acquires weather information from, for example, a system external to the setting system 1 via the communication device 12.

[0136] The input processing unit 21 executes a fifth input step ST15. The fifth input step ST15 is a step of accepting input of personal information for a specified period. The personal information includes information regarding at least one of the person's amount of clothing and metabolic rate. The personal information for the specified period includes personal information for each of multiple periods included in the specified period. That is, if the specified period includes, for example, December and August, the personal information for the specified period may include, for example, personal information for December and personal information for August. Note that metabolic rate may be considered constant regardless of time. This is because the amount of clothing worn differs between winter and summer.

[0137] The heat load calculation unit 26 executes a temperature calculation step ST16. The temperature calculation step ST16 is a step of calculating an optimum temperature for a specified period. If the specified period includes multiple periods, calculating the optimum temperature for the specified period means calculating multiple optimum temperatures corresponding to each of the multiple periods.

[0138] In temperature calculation step ST16, the heat load calculation unit 26 uses a PMV calculation formula to calculate the optimal temperature for the specified period. The PMV calculation formula is a formula for calculating the PMV of space SP1, and uses the air temperature of space SP1, the radiant temperature of space SP1, the humidity (relative humidity) of space SP1, the wind speed of space SP1, the human metabolic rate, and the amount of clothing worn by the human as variables. The heat load calculation unit 26 can calculate the optimal temperature for the specified period by substituting the PMV, radiant temperature, humidity, wind speed, metabolic rate, and amount of clothing for the specified period into the PMV calculation formula.

[0139] The PMV substituted into the PMV calculation formula in the temperature calculation step ST16 is the average value μ of the PMV in the specific space SP10 calculated in step ST6.

[0140] The radiation temperature, humidity, and wind speed substituted into the PMV calculation formula in temperature calculation step ST16 are the optimum radiation temperature, optimum humidity, and optimum wind speed calculated in step ST9, respectively.

[0141] The metabolic rate and clothing amount substituted into the PMV calculation formula in the temperature calculation step ST16 are the metabolic rate and clothing amount input in the fifth input step ST15.

[0142] Therefore, the heat load calculation unit 26 can calculate the optimal temperature for a specified period using the PMV calculation formula. Strictly speaking, because there is a correlation between air temperature and relative humidity, the optimal humidity also fluctuates in accordance with changes in the optimal temperature. However, within the range of 40% to 60% relative humidity, which is generally considered comfortable indoors, the impact of relative humidity on PMV is minor, and fluctuations in relative humidity can be ignored. Furthermore, by assuming that the air volume setting of the air conditioner 30 remains the same throughout the year, fluctuations in the optimal air speed can also be ignored.

[0143] The temperature calculation step ST16 described above is a step of calculating the average temperature of the specific space SP10 during the specified period based on the occupancy information for the specified period, so as to satisfy a predetermined condition. The predetermined condition is that the average value of the PMV of the specific space SP10 during the specified period is equal to the average value μ of the PMV of the specific space SP10 during the specified period. The average temperature of the specific space SP10 during the specified period that satisfies the predetermined condition is the optimal temperature for the specified period. In other words, μ, which is the average PMV value that is strongly affected by temperature, is constant throughout the specified period and the specified period. This achieves both comfort and reduced power consumption throughout the year.

[0144] The heat load calculation unit 26 executes step ST17. Step ST17 is a step for calculating the heat load for a specified period. More specifically, step ST17 is a step for calculating an integrated value of the heat load for a specified period. The heat load calculation unit 26 can calculate the heat load for a specified period in the same manner as step ST10. That is, the heat load calculation unit 26 calculates the heat load based on the optimal temperature and optimal humidity at each time point, the outdoor air temperature, outdoor air humidity, and solar radiation included in the weather information, and information related to the thermal insulation (thermal resistance) of the building's frame. More specifically, the heat load calculation unit 26 calculates the sensible heat load and the latent heat load, and calculates the total heat load by summing the sensible heat load and the latent heat load.

[0145] The power consumption calculation unit 27 executes step ST18. Step ST18 is a step of calculating the power consumption for a specified period. More specifically, step ST18 is a step of calculating an integrated value of the power consumption for the specified period. The power consumption calculation unit 27 can calculate the power consumption for the specified period in the same manner as step ST11. For example, the power consumption calculation unit 27 calculates the power consumption of the air conditioning equipment 30 based on the total heat load and the COP.

[0146] The power consumption calculation step includes steps ST17 and ST18. The power consumption calculation step is a step of calculating the thermal load of space SP1 based on the weather information for the designated period and the average temperature (optimum temperature) of specific space SP10 for the designated period calculated in temperature calculation step ST16, and calculating the power consumption of at least one control device 3 for the designated period based on the thermal load.

[0147] The output processing unit 28 executes step ST19. Step ST19 is a step of notifying the power consumption calculated in step ST18. The output processing unit 28, for example, displays the power consumption on the output device 14. Furthermore, the output processing unit 28 may, for example, transmit information indicating the power consumption to an external system via the communication device 12.

[0148] In step ST17, the heat load calculation unit 26 calculates the heat load based on the amount of solar radiation. Generally, the amount of solar radiation is a non-steady physical quantity determined by the solar altitude and solar orientation. However, the amount of solar radiation used by the heat load calculation unit 26 to calculate the heat load may be a constant value that does not depend on time. For example, the heat load calculation unit 26 may use the average value of the amount of solar radiation over a specified period to calculate the heat load. That is, in step ST17, the heat load calculation unit 26 may calculate the heat load based on the average value of the amount of solar radiation over the specified period.

[0149] When calculating the heat load, using the amount of solar radiation at a certain date and time may result in a calculation that overestimates or underestimates the amount of solar radiation. In contrast, calculating the heat load based on the average amount of solar radiation allows for a more accurate calculation.

[0150] (Modifications of the embodiment) Modifications of the embodiment are listed below. The following modifications may be implemented in appropriate combination. Hereinafter, the configuration of the above-described embodiment will be referred to as a basic example.

[0151] In the basic example, a set of the mean value μ and the standard deviation σ that satisfies formulas [1], [2], and [3] or formulas [3], [4], and [5] is found as the optimal solution for the mean value μ and the standard deviation σ. In other words, in the basic example, the mean value μ and the standard deviation σ are the objective variables of the optimization. However, the objective variables of the optimization may include other variables in addition to the mean value μ and the standard deviation σ. The objective variables of the optimization may include, for example, at least one of the mean value and the standard deviation of a specific factor of the thermal environment in the specific space SP10. Temperature, humidity, and wind speed are each an example of a specific factor of the thermal environment.

[0152] It is not essential that the determination unit 25 optimizes the setting information. For example, the determination unit 25 may determine whether or not formulas [1], [2], and [3] or formulas [3], [4], and [5] are satisfied by the predetermined setting information input to the input processing unit 21 or generated by the sample generation unit 22, and if satisfied, may treat the setting information as adapted setting information.

[0153] 6 includes steps ST10 and ST11 for calculating the heat load and power consumption for a predetermined period, although steps ST10 and ST11 can be omitted.

[0154] The execution entity of the setting system 1 or setting method of the present disclosure includes a computer system. The computer system is primarily composed of a processor and memory as hardware. At least a portion of the functions of the execution entity of the setting system 1 or setting method of the present disclosure are realized by the processor executing a program recorded in the memory of the computer system. The program may be pre-recorded in the memory of the computer system, provided via a telecommunications line, or provided by being recorded on a non-transitory recording medium readable by the computer system, such as a memory card, optical disk, or hard disk drive. The processor of the computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large-scale integrated circuit (LSI). The integrated circuits, such as ICs or LSIs, are referred to by different names depending on the degree of integration, and include integrated circuits called system LSIs, very large-scale integrations (VLSIs), or ultra-large-scale integrations (ULSIs). Furthermore, field-programmable gate arrays (FPGAs), which are programmed after the LSI is manufactured, or logic devices capable of reconfiguring the connections within the LSI or the circuit partitions within the LSI, can also be used as processors. The electronic circuits may be integrated into one chip or distributed across multiple chips. The chips may be integrated into one device or distributed across multiple devices. The computer system referred to here includes a microcontroller having one or more processors and one or more memories. Therefore, the microcontroller is also composed of one or more electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

[0155] Furthermore, it is not essential for the setting system 1 that multiple functions in the setting system 1 are consolidated into one device, and multiple components of the setting system 1 may be distributed across multiple devices. Furthermore, at least some of the functions of the setting system 1, for example, some of the functions of the processing device 2, may be realized by a server, a cloud (cloud computing), or the like.

[0156] (Summary) The above-described embodiments and the like disclose the following aspects.

[0157] A setting method according to a first aspect is a setting method for determining adaptive setting information. The adaptive setting information corresponds to setting information that specifies at least one of one or more operating parameters related to the operating state of at least one control device (3) and one or more position parameters that indicate the installation location of the at least one control device (3). The at least one control device (3) changes PMV in a space (SP1) that includes a specific space (SP10). The setting method includes an analysis step, a calculation step, and a determination step. In the analysis step, a PMV distribution in the specific space (SP10) is determined by spatial analysis based on the setting information. In the calculation step, based on the PMV distribution, the average value μ of the PMV of the specific space (SP10), the standard deviation σ of the PMV of the specific space (SP10), the volume V2 of the region of the specific space (SP10) where the PMV is within a specific numerical range, and the PMV space volume ratio V2 / V1, which is the ratio of the volume V2 to the volume V1 of the specific space (SP10), are calculated. In the determination step, when at least one control device (3) controls the temperature of the specific space (SP10) to be lower than the outside air temperature, the setting information when equations [1], [2], and [3] are satisfied is calculated as the compatible setting information. Alternatively, in the determination step, when at least one control device (3) controls the temperature of the specific space (SP10) to be higher than the outside air temperature, the setting information when equations [3], [4], and [5] are satisfied is calculated as the compatible setting information. μ>0 [1] μ+A×σ≦X [2] V2 / V1≧Y [3] μ<0 [4] μ−A×σ≧−X [5] Here, A, X, and Y are positive constants.

[0158] According to the above configuration, it is possible to ensure comfort defined based on the PMV. Furthermore, by increasing the temperature of the specific space (SP10) (increasing μ) during cooling, it is possible to reduce the power consumption of at least one control device (3). By decreasing the temperature of the specific space (SP10) (decreasing μ) during heating, it is possible to reduce the power consumption of at least one control device (3).

[0159] Furthermore, the setting method according to the second aspect is the same as that of the first aspect, but further includes a sample generation step. In the sample generation step, a plurality of pieces of setting information including the setting information are generated. In the analysis step, a plurality of PMV distributions based on each of the plurality of pieces of setting information are obtained for each piece of setting information. In the determination step, the setting information is optimized based on the relationship between the plurality of pieces of setting information and the plurality of PMV distributions so that equations [1], [2], and [3] or equations [3], [4], and [5] are satisfied, thereby obtaining suitable setting information.

[0160] According to the above configuration, it is possible to further improve comfort while reducing power consumption.

[0161] Furthermore, in the setting method according to the third aspect, in the first or second aspect, in the determination step, when equations [1], [2], and [3], or equations [3], [4], and [5] are satisfied for each of two or more pieces of setting information, if at least one control device (3) controls the temperature of the specific space (SP10) to be lower than the outside air temperature, the setting information among the two or more pieces of setting information that maximizes the average temperature of the specific space (SP10) is determined to be the suitable setting information, or if at least one control device (3) controls the temperature of the specific space (SP10) to be higher than the outside air temperature, the setting information among the two or more pieces of setting information that minimizes the average temperature of the specific space (SP10) is determined to be the suitable setting information.

[0162] According to the above configuration, it is possible to further reduce the power consumption of at least one control device (3) while maintaining comfort.

[0163] In addition, in a setting method according to a fourth aspect, in any one of the first to third aspects, the at least one control device (3) includes an air conditioner (30) that conditions the air in the space (SP1), and the one or more operating parameters include at least one of a set temperature, a set humidity, a set air volume, a set air speed, and a set air direction of the air conditioner (30).

[0164] According to the above configuration, it is possible to reduce the power consumption of the air conditioner (30).

[0165] Furthermore, a setting method according to a fifth aspect is the same as any one of the first to fourth aspects, further comprising a first input step, a second input step, a third input step, and a fourth input step. The first input step accepts input of at least one of a target value for the mean value μ, a target value for the standard deviation σ, a constant A, a constant X, a constant Y, and a specific numerical range for the PMV. The second input step accepts input of building information related to the structure of a building including the space (SP1) as information to be used for the spatial analysis. The third input step accepts input of weather information for a predetermined period as information to be used for the spatial analysis. The fourth input step accepts input of human information including information related to at least one of the amount of clothing worn by a person and metabolic rate as information to be used for calculating the PMV.

[0166] According to the above configuration, it is possible to change the target value of the average value μ depending on the situation.

[0167] In addition, the setting method according to a sixth aspect is the same as the fifth aspect, and further includes a fifth input step and a temperature calculation step. The fifth input step accepts input of occupancy information for a designated period separate from the predetermined period. The temperature calculation step calculates, based on the occupancy information for the designated period, an average temperature of the specific space (SP10) for the designated period when the average value of the PMV of the specific space (SP10) for the designated period is equal to the average value μ of the PMV of the specific space (SP10) for the predetermined period.

[0168] According to the above configuration, when suitable setting information for a predetermined period has already been obtained, suitable setting information for a specified period can be obtained by simpler processing, thereby reducing the calculation load for obtaining suitable setting information for the specified period.

[0169] In addition, the setting method according to the seventh aspect is the sixth aspect, further comprising a sixth input step and a power consumption calculation step. In the sixth input step, input of weather information for a specified period is accepted. In the power consumption calculation step, a heat load of the space (SP1) is calculated based on the weather information and the average temperature of the specific space (SP10) for the specified period calculated in the temperature calculation step, and the power consumption of at least one control device (3) for the specified period is calculated based on the heat load.

[0170] According to the above configuration, it is possible to calculate the power consumption.

[0171] In the setting method according to an eighth aspect, the weather information includes information about the amount of solar radiation in the seventh aspect. In the power consumption calculation step, the heat load is calculated based on an average value of the amount of solar radiation in the specified period.

[0172] According to the above configuration, by taking the average value of the amount of solar radiation, it is possible to reduce the degree to which temporary fluctuations in the amount of solar radiation affect the magnitude of the heat load calculated in the power consumption calculation step, thereby making it possible to calculate the heat load more accurately.

[0173] The configurations other than the first aspect are not essential for the setting method and can be omitted as appropriate.

[0174] A program according to a ninth aspect is a program for causing one or more processors of a computer system to execute the setting method according to any one of the first to eighth aspects.

[0175] According to the above configuration, it is possible to reduce the power consumption of at least one control device (3) while ensuring the comfort defined based on the PMV.

[0176] A setting system (1) according to a tenth aspect calculates adaptive setting information. The adaptive setting information corresponds to setting information specifying at least one of one or more operating parameters related to the operating state of at least one control device (3) and one or more position parameters representing the installation position of the at least one control device (3). The at least one control device (3) changes the PMV in a space (SP1) including a specific space (SP10). The setting system (1) includes an analysis unit (23), a calculation unit (24), and a determination unit (25). The analysis unit (23) calculates a PMV distribution in the specific space (SP10) by spatial analysis based on the setting information. A calculation unit (24) calculates, based on the PMV distribution, an average value μ of the PMV of the specific space (SP10), a standard deviation σ of the PMV of the specific space (SP10), a volume V2 of an area in the specific space (SP10) where the PMV is within a specific numerical range, and a PMV space volume ratio V2 / V1, which is the ratio of the volume V2 to the volume V1 of the specific space (SP10). A determination unit (25) calculates, as the suitable setting information, setting information when formulas [1], [2], and [3] are satisfied when at least one control device (3) controls the temperature of the specific space (SP10) to be lower than the outside air temperature. Alternatively, the determination unit (25) calculates, as the suitable setting information, setting information when formulas [3], [4], and [5] are satisfied when at least one control device (3) controls the temperature of the specific space (SP10) to be higher than the outside air temperature. μ>0 [1] μ+A×σ≦X [2] V2 / V1≧Y [3] μ<0 [4] μ−A×σ≧−X [5] Here, A, X, and Y are positive constants.

[0177] According to the above configuration, it is possible to reduce the power consumption of at least one control device (3) while ensuring the comfort defined based on the PMV.

[0178] Not limited to the above aspects, various configurations (including modified examples) of the setting system (1) according to the embodiment can be embodied as a setting method, a (computer) program, or a non-transitory recording medium on which a program is recorded.

[0179] REFERENCE SIGNS LIST 1 Setting system 3 Control device 23 Analysis unit 24 Calculation unit 25 Determination unit 30 Air conditioning device SP1 Space SP10 Specific space

Claims

1. A configuration method for obtaining suitable configuration information, comprising: The adaptation setting information is The setting information specifies at least one of one or more operation parameters related to the operation state of at least one control device that changes the PMV in a space including a specific space, and one or more position parameters that indicate the installation position of the at least one control device, The setting method includes: an analysis step of determining a PMV distribution in the specific space by spatial analysis based on the setting information; a calculation step of calculating, based on the PMV distribution, a mean value μ of the PMV of the specific space, a standard deviation σ of the PMV of the specific space, a volume V2 of a region in the specific space where the PMV is a value within a specific numerical range, and a PMV space volume ratio V2 / V1 which is a ratio of the volume V2 to the volume V1 of the specific space; and a determining step of determining, as the suitable setting information, the setting information when formulas [1], [2], and [3] are satisfied if the at least one control device controls the temperature of the specific space to be lower than the outside air temperature, or determining, as the suitable setting information, the setting information when formulas [3], [4], and [5] are satisfied if the at least one control device controls the temperature of the specific space to be higher than the outside air temperature. How to set it up. μ>0 [1] μ+A×σ≦X ... [2] V2 / V1≧Y ... [3] μ<0 [4] μ-A×σ≧-X ... [5] Here, A, X, and Y are positive constants.

2. further comprising a sample generation step of generating a plurality of pieces of setting information including the setting information; In the analyzing step, a plurality of PMV distributions based on each of the plurality of pieces of setting information are obtained for each of the plurality of pieces of setting information; In the determination step, the adapted setting information is obtained by optimizing the setting information so that the formulas [1], [2], and [3] or the formulas [3], [4], and [5] are satisfied based on the relationship between the plurality of setting information and the plurality of PMV distributions. The setting method according to claim 1 .

3. In the determining step, when the formulas [1], [2], and [3] or the formulas [3], [4], and [5] are satisfied for each of two or more pieces of setting information, When the at least one control device controls the temperature of the specific space to be lower than the outside air temperature, the setting information that maximizes the average temperature of the specific space is set as the suitable setting information among the two or more setting information, or When the at least one control device controls the temperature of the specific space to be higher than the outside air temperature, the setting information that minimizes the average temperature of the specific space is set as the suitable setting information among the two or more setting information. The setting method according to claim 1 or 2.

4. the at least one control device includes an air conditioning device that conditions the air in the space; the one or more operating parameters include at least one of a set temperature, a set humidity, a set air volume, a set air speed, and a set air direction of the air conditioning device; The setting method according to claim 1 or 2.

5. a first input step of receiving an input of at least one of a target value of the mean value μ, a target value of the standard deviation σ, the constant A, the constant X, the constant Y, and the specific numerical range of PMV; a second input step of receiving input of building information related to the structure of a building including the space as information to be used in the spatial analysis; a third input step of receiving input of weather information for a predetermined period as information to be used in the spatial analysis; and a fourth input step of accepting input of person information including information on at least one of an amount of clothing worn by the person and a metabolic rate as information used in calculating the PMV. The setting method according to claim 1 or 2.

6. a fifth input step of accepting input of the person information for a designated period different from the predetermined period; and a temperature calculation step of calculating an average temperature of the specific space during the specified period when an average value of PMV of the specific space during the specified period is equal to the average value μ of PMV of the specific space during the predetermined period based on the person information during the specified period. The setting method according to claim 5 .

7. a sixth input step of accepting input of weather information for the specified period; a power consumption calculation step of calculating a heat load of the space based on the weather information and the average temperature of the specific space for the specified period calculated in the temperature calculation step, and calculating the power consumption of the at least one control device for the specified period based on the heat load. The setting method according to claim 6.

8. the meteorological information includes information about the amount of solar radiation; In the power consumption calculation step, the heat load is calculated based on an average value of the amount of solar radiation during the specified period. The setting method according to claim 7.

9. 3. A method for causing one or more processors of a computer system to execute the setting method according to claim 1 or 2, program.

10. A configuration system for requesting suitable configuration information, The adaptation setting information is The setting information specifies at least one of one or more operation parameters related to the operation state of at least one control device that changes the PMV in a space including a specific space, and one or more position parameters that indicate the installation position of the at least one control device, The setting system includes: an analysis unit that calculates a PMV distribution in the specific space by spatial analysis based on the setting information; a calculation unit that calculates, based on the PMV distribution, a mean value μ of the PMV of the specific space, a standard deviation σ of the PMV of the specific space, a volume V2 of a region in the specific space where the PMV is a value within a specific numerical range, and a PMV space volume ratio V2 / V1 that is a ratio of the volume V2 to the volume V1 of the specific space; a determination unit that determines, as the suitable setting information, the setting information when formulas [1], [2], and [3] are satisfied when the at least one control device controls the temperature of the specific space to be lower than the outside air temperature, or that determines, as the suitable setting information, the setting information when formulas [3], [4], and [5] are satisfied when the at least one control device controls the temperature of the specific space to be higher than the outside air temperature; Settings system. μ>0 [1] μ+A×σ≦X ... [2] V2 / V1≧Y ... [3] μ<0 [4] μ-A×σ≧-X ... [5] Here, A, X, and Y are positive constants.