US20240318854A1 - Air-conditioning controller and air-conditioning apparatus - Google Patents

Air-conditioning controller and air-conditioning apparatus Download PDF

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Publication number
US20240318854A1
US20240318854A1 US18/556,471 US202118556471A US2024318854A1 US 20240318854 A1 US20240318854 A1 US 20240318854A1 US 202118556471 A US202118556471 A US 202118556471A US 2024318854 A1 US2024318854 A1 US 2024318854A1
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Prior art keywords
air
occupant
conditioning
comfort
occupants
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US18/556,471
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English (en)
Inventor
Sho HIRAI
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F24F2120/12—Position of occupants
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/20—Feedback from users

Definitions

  • the present disclosure relates to an air-conditioning controller and an air-conditioning apparatus that condition a heat environment of a space where a plurality of occupants are present.
  • an air-conditioning device is provided in a building, an office, or other space to condition a heat environment of a single zone where a plurality of occupants are present.
  • various methods for the air-conditioning device to determine an optimum set value have been proposed.
  • Patent Literature 1 discloses an air-conditioning system configured to calculate a predicted mean vote (PMV) that can statistically evaluate the degree of satisfaction with respect to a heat environment, and to control an air-conditioning device such that the PMV falls within a range that is set in advance.
  • PMV predicted mean vote
  • This air-conditioning system can statistically maximize the degree of satisfaction with the heat environment by setting the PMV of the air-conditioning device to 0.
  • Patent Literatures 2 and 3 disclose a method to evaluate the comfort to the heat environment by acquiring warm-cold sense vote information from occupants.
  • the degree of satisfaction of the occupants with the heat environment is evaluated based on a mean value calculated based on the warm-cold sense voted from the occupants, or based on a model of satisfaction degree.
  • the PMV is calculated using six variables including temperature, humidity, radiant temperature, air velocity, clothing insulation, and metabolic rate.
  • the air-conditioning system disclosed in Patent Literature 1 uses many measurement devices to measure these six variables to accurately calculate the PMV, and thus needs to locate these measurement devices in an air-conditioning target space. This results in problems that the air-conditioning system becomes complicated and its cost increases.
  • Patent Literatures 2 and 3 uses the mean value among a plurality of occupants, or uses the model of satisfaction degree. This also results in a problem that this mean value or model does not always match a set value at which a maximum number of occupants of the plurality of occupants feel comfortable in the air-conditioning target space.
  • the present disclosure has been made in view of the above problems caused by the conventional technique, and it is an object of the present disclosure to provide an air-conditioning controller and an air-conditioning apparatus that can maximize a degree of satisfaction of a plurality of occupants present in an air-conditioning target space with a heat environment without complicating a system.
  • An air-conditioning controller configured to control an air-conditioning apparatus, and including: an environmental-state-quantity acquisition unit configured to acquire a quantity of environmental state that indicates a state of an air-conditioning target space; an occupant-information acquisition unit configured to acquire occupant information that specifies a plurality of occupants present in the air-conditioning target space: a temperature-preference input unit configured to acquire comfort information that indicates a warm-cold sense of each of the plurality of occupants to the air-conditioning target space; a storage unit configured to store the quantity of environmental state at a point in time when the comfort information is acquired, the occupant information, and the comfort information such that the quantity of environmental state at the point in time, the occupant information, and the comfort information are associated with each other; a comfort calculation unit configured to calculate a comfort range for each of the plurality of occupants based on the quantity of environmental state at the point in time, the occupant information, and the comfort information that are associated with each other and
  • An air-conditioning apparatus includes the air-conditioning controller described above.
  • a set value to the air-conditioning apparatus is determined based on the comfort ranges for a plurality of occupants present in the air-conditioning target space such that a maximum in number of occupants of the plurality of occupants are satisfied with the state of the air-conditioning target space. This can maximize the degree of satisfaction of the plurality of occupants present in the air-conditioning target space with the heat environment.
  • FIG. 1 is a block diagram illustrating an example of an air-conditioning controller according to Embodiment 1.
  • FIG. 2 is a hardware configuration diagram illustrating an example of the configuration of the air-conditioning controller in FIG. 1 .
  • FIG. 3 is a hardware configuration diagram illustrating another example of the configuration of the air-conditioning controller in FIG. 1 .
  • FIG. 4 is an explanatory schematic diagram describing how to determine a comfort range.
  • FIG. 5 is an explanatory schematic diagram describing how to determine an optimum set value.
  • FIG. 6 is a flowchart illustrating an example of a flow of the set-value determination processing performed by an air-conditioning controller 1 according to the present Embodiment 1.
  • FIG. 7 is a block diagram illustrating an example of the air-conditioning controller according to Embodiment 2.
  • FIG. 8 is a flowchart illustrating an example of a flow of the destination determination processing performed by the air-conditioning controller according to Embodiment 2.
  • FIG. 9 is a flowchart illustrating an example of a flow of the destination determination processing when an additional occupant joins in an air-conditioning target space.
  • An air-conditioning controller according to the present Embodiment 1 is described below.
  • the air-conditioning controller is configured to control each of the air-conditioning apparatuses.
  • the air-conditioning controller controls an air-conditioning apparatus that conditions air in any of the plurality of zones.
  • FIG. 1 is a block diagram illustrating an example of the air-conditioning controller according to the present Embodiment 1.
  • the air-conditioning controller 1 includes an environmental-state-quantity acquisition unit 11 , an occupant-information acquisition unit 12 , a temperature-preference input unit 13 , a storage unit 14 , a comfort calculation unit 15 , and a set-value calculation unit 16 .
  • the environmental-state-quantity acquisition unit 11 acquires a quantity of environmental state that indicates an environmentally-related state of an air-conditioning target space. For example, the environmental-state-quantity acquisition unit 11 acquires sensor information detected by various types of sensors installed in air-conditioning apparatus 2 and the air-conditioning target space, and calculates the quantity of environmental state based on the acquired sensor information. While the environmental-state-quantity acquisition unit 11 acquires, for example, a PMV value as the quantity of environmental state, the environmental-state-quantity acquisition unit 11 not only calculates the PMV value based on the acquired sensor information, but may also acquire the PMV value itself. Note that the PMV is a value that can statistically evaluate the degree of satisfaction with the heat environment.
  • the PMV value is used as the quantity of environmental state
  • the PMV value may be calculated by using common values for some of the six variables. This can reduce the number of sensors to be installed to acquire the quantity of environmental state.
  • the occupant-information acquisition unit 12 acquires occupant information that specifies occupants present in the air-conditioning target space.
  • the occupant-information acquisition unit 12 acquires the occupant information by using commonly-known technologies such as personal authentication technologies, image recognition technologies, or position sensing technologies.
  • the temperature-preference input unit 13 receives an input of comfort information that indicates a warm-cold sense of each of the plurality of occupants present in the air-conditioning target space from the occupants present in this air-conditioning target space.
  • the comfort information is input by using a computer, a smartphone, a tablet, a dedicated terminal, or other device (not illustrated) connected to the air-conditioning controller 1 with wire or wirelessly.
  • the temperature-preference input unit 13 may be provided integrally with the occupant-information acquisition unit 12 .
  • the storage unit 14 stores various kinds of information to be used in the air-conditioning controller 1 .
  • the storage unit 14 stores the occupant information acquired by the occupant-information acquisition unit 12 , the comfort information input to the temperature-preference input unit 13 , and the quantity of environmental state when the occupant information and the comfort information are acquired such that the occupant information, the comfort information, and the quantity of environmental state are associated with each other.
  • the comfort calculation unit 15 calculates a comfort range for each of the occupants based on the quantity of environmental state based on the information stored in the storage unit 14 .
  • the comfort range refers to an area that can be acquired based on a plurality of actual measured quantities of environmental state, and that includes the quantities of environmental state that can be determined to be comfortable.
  • the set-value calculation unit 16 calculates a set value to the air-conditioning apparatus 2 based on the comfort range for each of the occupants.
  • the set value is used to determine operation of the air-conditioning apparatus 2 and is, for example, a PMV value or a set temperature.
  • the storage unit 14 , the comfort calculation unit 15 , and the set-value calculation unit 16 may be integrally provided as a single unit.
  • FIG. 2 is a hardware configuration diagram illustrating an example of the configuration of the air-conditioning controller in FIG. 1 .
  • the air-conditioning controller 1 in FIG. 1 is made up of a processing circuit 31 and an input-output device 32 as illustrated in FIG. 2 .
  • the respective functions of the environmental-state-quantity acquisition unit 11 , the occupant-information acquisition unit 12 , the storage unit 14 , the comfort calculation unit 15 , and the set-value calculation unit 16 are implemented by the processing circuit 31 .
  • the temperature-preference input unit 13 in FIG. 1 corresponds to the input-output device 32 in FIG. 2 .
  • the processing circuit 31 is equivalent to, for example, a single circuit, a combined circuit, a programmed processor, a parallel-programmed processor, an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a combination thereof.
  • the functions of the environmental-state-quantity acquisition unit 11 , the occupant-information acquisition unit 12 , the storage unit 14 , the comfort calculation unit 15 , and the set-value calculation unit 16 may be implemented individually by processing circuits 31 , or the functions of the respective units may be implemented collectively by a single processing circuit 31 .
  • FIG. 3 is a hardware configuration diagram illustrating another example of the configuration of the air-conditioning controller in FIG. 1 .
  • the air-conditioning controller 1 in FIG. 1 is made up of a processor 33 , a memory 34 , and an input-output device 35 as illustrated in FIG. 3 .
  • the respective functions of the environmental-state-quantity acquisition unit 11 , the occupant-information acquisition unit 12 , the storage unit 14 , the comfort calculation unit 15 , and the set-value calculation unit 16 are implemented by the processor 33 and the memory 34 .
  • the temperature-preference input unit 13 in FIG. 1 corresponds to the input-output device 35 in FIG. 3 .
  • the functions of the environmental-state-quantity acquisition unit 11 , the occupant-information acquisition unit 12 , the storage unit 14 , the comfort calculation unit 15 , and the set-value calculation unit 16 are implemented by software, firmware, or a combination of the software and the firmware.
  • the software and the firmware are described as programs and stored in the memory 34 .
  • the processor 33 reads and executes the programs stored in the memory 34 , thereby to implement the functions of the respective units.
  • nonvolatile or volatile semiconductor memories and other memories are used.
  • the semiconductor memories include a random access memory (RAM), a read only memory (ROM), a flash memory, an erasable and programmable ROM (EPROM), and an electrically erasable and programmable ROM (EEPROM).
  • RAM random access memory
  • ROM read only memory
  • EPROM erasable and programmable ROM
  • EEPROM electrically erasable and programmable ROM
  • a removable storage medium may be used as the memory 34 . Examples of the removable storage medium include a magnetic disc, a flexible disc, an optical disc, a compact disc (CD), a mini disc (MD), and a digital versatile disc (DVD).
  • the air-conditioning controller 1 according to the present Embodiment 1 performs the set-value determination processing for controlling the air-conditioning apparatus 2 to maximize the degree of satisfaction of each of a plurality of occupants present in an air-conditioning target space with the heat environment.
  • the set-value determination processing is described below.
  • a set value to the air-conditioning apparatus 2 is calculated such that a maximum in number of occupants of the plurality of occupants are satisfied with the heat environment of the air-conditioning target space.
  • the PMV value is defined as a quantity of environmental state.
  • a comfort range for each of the plurality of occupants present in the air-conditioning target space is determined.
  • the comfort range is determined based on the comfort information that indicates a warm-cold sense input by each of the occupants, and based on the PMV value that is the quantity of environmental state in the air-conditioning target space at the point in time when the comfort information is input.
  • FIG. 4 is an explanatory schematic diagram describing how to determine the comfort range.
  • FIG. 4 illustrates an example of the relationship between the comfort information input by any of the occupants, and the PMV value (the quantity of environmental state) that is actually measured.
  • the comfort information is input by categorizing the occupant's sense to the heat environment of the air-conditioning target space into levels such as “hot,” “slightly warm,” “neutral,” “slightly cool,” and “cold.”
  • the comfort information may be input using numerical values, for example, “ ⁇ 3 (cold) to 0 (neutral) to 3 (hot).”
  • the comfort range refers to an area where an occupant feels that the heat environment of the air-conditioning target space is in a “neutral” and proper state for the occupant.
  • the comfort range is determined based on the plurality of inputs of the comfort information. Specifically, from the plurality of inputs of the comfort information on the same occupant, a PMV value H low and a PMV value C high are extracted.
  • the PMV value H low is the smallest of the PMV values when this occupant feels hot.
  • the PMV value C high is the largest of the PMV values when this occupant feels cold. As illustrated in FIG.
  • the range of the PMV value between the upper limit and the lower limit is determined as a comfort range for this occupant.
  • an optimum set value is determined as a set value optimum for the air-conditioning apparatus 2 based on the respective comfort ranges for the plurality of occupants.
  • FIG. 5 is an explanatory schematic diagram describing how to determine the optimum set value.
  • FIG. 5 illustrates respective comfort ranges for occupants A to E present in the air-conditioning target space.
  • the optimum set value is set such that a maximum in number of occupants of the plurality of occupants are satisfied with the heating energy state of the air-conditioning target space.
  • a set PMV value PMV_set is set to the comfort range for each of the plurality of occupants to calculate the number of occupants N of the plurality of occupants for which the set PMV value PMV_set falls within their comfort range.
  • the set PMV value PMV_set is varied within the range of settable PMV value (for example, between ⁇ 3 and 3) to search for a set PMV value PMV_set that maximizes the number of occupants N for which the set PMV value PMV_set falls within their comfort range.
  • the set PMV value PMV_set that maximizes the number of occupants N for which the set PMV value PMV_set falls within their comfort range is searched out in this manner and thus determined as an optimum set value to the air-conditioning apparatus 2 as illustrated in FIG. 5 .
  • the optimum set value to the air-conditioning apparatus 2 is determined such that a maximum in number of occupants N of the plurality of occupants are satisfied with the heating energy state of the air-conditioning target space. This can maximize the degree of satisfaction of the occupants present in the air-conditioning target space with the heat environment.
  • FIG. 6 is a flowchart illustrating an example of a flow of the set-value determination processing performed by the air-conditioning controller 1 according to the present Embodiment 1.
  • the environmental-state-quantity acquisition unit 11 acquires a quantity of environmental state in the air-conditioning target space.
  • the environmental-state-quantity acquisition unit 11 acquires this quantity of environmental state regularly.
  • step S 2 the temperature-preference input unit 13 acquires comfort information input by the occupants.
  • a terminal used for inputting the comfort information to the temperature-preference input unit 13 may be shared between the plurality of occupants, or each of the plurality of occupants may use their own dedicated terminal.
  • the occupants may input the comfort information at a predetermined fixed time or at predetermined fixed intervals, or may input the comfort information as needed when the occupants feel dissatisfied with the heat environment.
  • step S 3 the occupant-information acquisition unit 12 acquires occupant information on the occupants present in the air-conditioning target space.
  • the occupant-information acquisition unit 12 specifies the occupants who have input the comfort information through various kinds of authentication technologies.
  • the occupant-information acquisition unit 12 may identify the individual terminal to specify the occupant.
  • the temperature-preference input unit 13 provides the input comfort information to the storage unit 14 .
  • the occupant-information acquisition unit 12 provides the acquired occupant information to the storage unit 14 .
  • the environmental-state-quantity acquisition unit 11 provides the storage unit 14 with the quantity of environmental state at the point in time when the temperature-preference input unit 13 acquires the comfort information.
  • the storage unit 14 stores the received comfort information, occupant information, and quantity of environmental state such that all the received information is associated with each other.
  • step S 5 the comfort calculation unit 15 extracts the minimum value H low from the PMV values (the quantity of environmental state) when the occupant feels hot, and extracts the maximum value C high from the PMV values (the quantity of environmental state) when the occupant feels cold.
  • step S 6 based on the minimum value H low when the occupant feels hot and the maximum value C high when the occupant feels cold, which have been extracted in step S 5 , the comfort calculation unit 15 sets the range of the quantity of environmental state between the maximum value C high and the minimum value H low as a comfort range.
  • the comfort calculation unit 15 provides the set comfort range to the storage unit 14 to be stored therein. Then, the processing in steps S 5 and S 6 is performed the number of times equal to the number of occupants present in the air-conditioning target space.
  • step S 7 the set-value calculation unit 16 reads information on the comfort ranges for all the occupants present in the air-conditioning target space, stored in the storage unit 14 , and sets a set environmental-state quantity PMV_set appropriate to each of these comfort ranges.
  • step S 8 the set-value calculation unit 16 calculates the number of occupants N of the plurality of occupants for which the set set environmental-state quantity PMV_set falls within their comfort range.
  • step S 9 the set-value calculation unit 16 varies the set environmental-state quantity PMV_set within the range of settable environmental-state quantity (in this example, ⁇ 3 s PMV value ⁇ 3).
  • the set-value calculation unit 16 searches for a set environmental-state quantity PMV_set that maximizes the number of occupants N of the plurality of occupants for which the set environmental-state quantity PMV_set falls within their comfort range.
  • step S 10 the set-value calculation unit 16 determines the set environmental-state quantity PMV_set that maximizes the number of occupants N described above as an optimum set value and transmits the optimum set value to the air-conditioning apparatus 2 .
  • the air-conditioning controller 1 calculates comfort ranges based on the occupant information on occupants present in the air-conditioning target space, the comfort information, and the quantity of environmental state. Then, the air-conditioning controller 1 calculates a set value to the air-conditioning apparatus based on the calculated comfort ranges in such a manner that a maximum in number of occupants of the plurality of occupants are satisfied with the state of the air-conditioning target space. With this operation, the quantity of environmental state in the air-conditioning target space is set at a value that falls within the comfort ranges for as many occupants of the plurality of occupants present in the air-conditioning target space as possible. This can maximize the degree of satisfaction of the occupants with the heat environment of the air-conditioning target space.
  • an example case is considered where three occupants are present in the air-conditioning target space, and their respective optimum ranges of the PMV value as a quantity of environmental state are “ ⁇ 0.5 to ⁇ 0.1,” “ ⁇ 0.2 to 0.4,” and “ ⁇ 0.2 to 0.4.”
  • a simple mean value of the median in the comfort range “0” is a set value to the air-conditioning apparatus 2 . Therefore, the number of occupants, for which this set value “0” falls within their comfort range, is two.
  • the optimum set value is set anywhere between “ ⁇ 0.2 and ⁇ 0.1.” Therefore, the number of occupants, for which this set value falls within their comfort range, is three. That is, the air-conditioning controller 1 according to the present Embodiment 1 can control the air-conditioning apparatus 2 in such a manner as to satisfy the comfort of all the three occupants present in the air-conditioning target space.
  • the air-conditioning controller 1 according to the present Embodiment 2 is different from Embodiment 1 in that when there is an occupant who has a low degree of satisfaction with the heat environment of the air-conditioning target space, the air-conditioning controller 1 according to the present Embodiment 2 encourages this occupant to move to another zone.
  • the components common to Embodiment 1 are denoted by the same reference signs, and detailed descriptions thereof are omitted.
  • the air-conditioning controller 1 encourages the occupant to move from the current zone to another zone where the occupant's degree of satisfaction is further improved.
  • FIG. 7 is a block diagram illustrating an example of the air-conditioning controller according to the present Embodiment 2.
  • the air-conditioning controller 1 includes the environmental-state-quantity acquisition unit 11 , the occupant-information acquisition unit 12 , the temperature-preference input unit 13 , the storage unit 14 , the comfort calculation unit 15 , the set-value calculation unit 16 , a destination calculation unit 17 , and an instruction unit 18 .
  • the set-value calculation unit 16 sets an optimum set value, so that the destination calculation unit 17 specifies the occupant for which the optimum set value does not fall within his/her own comfort range.
  • the destination calculation unit 17 calculates a destination for the specified occupant. Note that in the descriptions below, the wording “the occupant for which the optimum set value does not fall within his/her own comfort range” is expressed as “the occupant having a low degree of satisfaction with the heat environment.”
  • the instruction unit 18 provides an instruction regarding a destination zone for the occupant upon the determination performed by the destination calculation unit 17 .
  • a display or voice output unit of a computer, a smartphone, a tablet, a dedicated terminal or other device which are used for inputting the comfort information to the temperature-preference input unit 13 by an occupant is used.
  • the air-conditioning controller 1 according to the present Embodiment 2 performs the destination determination processing for determining a more appropriate zone for this occupant and encourages this occupant to move from the current zone to another zone.
  • the destination determination processing is described below.
  • the air-conditioning controller 1 searches for another zone where an optimum set value falls within the comfort range for an occupant having a low degree of satisfaction with the heat environment in the current zone.
  • the PMV value is defined as a quantity of environmental state.
  • FIG. 8 is a flowchart illustrating an example of a flow of the destination determination processing performed by the air-conditioning controller according to the present Embodiment 2. Prior to the destination determination processing, the set-value determination processing including steps S 1 to S 10 described in Embodiment 1 is initially performed.
  • step S 11 the destination calculation unit 17 acquires an optimum set value to each zone from the set-value calculation unit 16 .
  • the destination calculation unit 17 reads and acquires information on the comfort ranges for the occupants in each zone, which is stored in the storage unit 14 .
  • step S 13 the destination calculation unit 17 compares the comfort ranges for the occupants with the optimum set value to each zone, and specifies any of the occupants who have a low degree of satisfaction with the current heat environment. Specifically, when the optimum set value does not fall within the comfort range for the occupant, the destination calculation unit 17 specifies this occupant as having a low degree of satisfaction with the heat environment.
  • step S 14 the destination calculation unit 17 searches for a zone where the optimum set value falls within the comfort range for this occupant.
  • the destination calculation unit 17 determines the zone having been searched out as a destination zone.
  • step S 15 the instruction unit 18 provides an instruction regarding the destination zone determined by the destination calculation unit 17 to this occupant.
  • the destination calculation unit 17 determines a zone where there is a smallest difference between the optimum set value and an upper limit value or a lower limit value of the comfort range for this occupant as a destination zone.
  • FIG. 9 is a flowchart illustrating an example of a flow of the destination determination processing when an additional occupant joins in an air-conditioning target space.
  • the set-value determination processing including steps S 1 to S 10 described in Embodiment 1 is initially performed.
  • step S 21 the occupant-information acquisition unit 12 acquires occupant information on an occupant who has additionally joined in the air-conditioning target space.
  • the destination calculation unit 17 specifies the occupant who has additionally joined based on the acquired occupant information.
  • step S 22 based on the occupant information on the specified occupant, the destination calculation unit 17 acquires information on the comfort range for this occupant stored in the storage unit 14 .
  • step S 23 the destination calculation unit 17 acquires an optimum set value to each zone from the set-value calculation unit 16 .
  • step S 24 the destination calculation unit 17 searches for a zone where the optimum set value falls within the comfort range for this occupant.
  • the destination calculation unit 17 determines the zone having been searched out as a destination zone.
  • step S 25 the instruction unit 18 provides an instruction regarding the destination zone determined by the destination calculation unit 17 to this occupant.
  • a destination to which the occupant moves from the zone where the occupant is present is determined based on the set value to each of the zones.
  • the air-conditioning controller 1 can encourage the occupant who has a low degree of satisfaction with the heat environment in the current zone to move to another zone where the degree of satisfaction is improved, so that the occupant can have improved comfort.
  • the present Embodiments 1 and 2 have been described above, the present disclosure is not limited to Embodiments 1 and 2 described above. Various modifications and applications can be made without departing from the scope of the present disclosure.
  • the quantity of environmental state is not limited thereto.
  • a temperature, a humidity, an air velocity, a radiant temperature, or other factors in the air-conditioning target space is also applicable. Note that since the clothing insulation and the metabolic rate of an occupant also affect the occupant's warm-cold sense, these factors can thus be included in the quantity of environmental state in the present Embodiments 1 and 2. Further, a quantity calculated by using these quantities of environmental state is included in the quantity of environmental state.
  • the air-conditioning controller 1 has been described as being configured separately from the air-conditioning apparatus 2 .
  • the air-conditioning controller 1 is not limited to this example.
  • the air-conditioning controller 1 may function as a part of a controller provided in the air-conditioning apparatus 2 .
  • the functions of the air-conditioning controller 1 may be installed in any one of the air-conditioning apparatuses 2 to control the other air-conditioning apparatuses 2 .
  • 1 air-conditioning controller
  • 2 air-conditioning apparatus
  • 11 environment-state-quantity acquisition unit
  • 12 occupant-information acquisition unit
  • 13 temperature-preference input unit
  • 14 storage unit
  • 15 comfort calculation unit
  • 16 set-value calculation unit
  • 17 destination calculation unit
  • 18 instruction unit
  • 31 processing circuit
  • 33 processor
  • 34 storage unit

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  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)
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