WO2023149259A1 - Dispositif de commande, système de climatisation, procédé de commande pour climatiseur, programme, modèle appris, et procédé de génération d'un modèle appris - Google Patents

Dispositif de commande, système de climatisation, procédé de commande pour climatiseur, programme, modèle appris, et procédé de génération d'un modèle appris Download PDF

Info

Publication number
WO2023149259A1
WO2023149259A1 PCT/JP2023/001911 JP2023001911W WO2023149259A1 WO 2023149259 A1 WO2023149259 A1 WO 2023149259A1 JP 2023001911 W JP2023001911 W JP 2023001911W WO 2023149259 A1 WO2023149259 A1 WO 2023149259A1
Authority
WO
WIPO (PCT)
Prior art keywords
indoor
parameters
control
heat load
temperature
Prior art date
Application number
PCT/JP2023/001911
Other languages
English (en)
Japanese (ja)
Inventor
孝典 諏訪
弘憲 服部
直紀 中川
惇 川島
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to JP2023578483A priority Critical patent/JPWO2023149259A5/ja
Publication of WO2023149259A1 publication Critical patent/WO2023149259A1/fr

Links

Images

Classifications

    • 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
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46—Improving electric energy efficiency or saving
    • F24F11/47—Responding to energy costs
    • 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
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • 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
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F24F2110/12—Temperature of the outside air
    • 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
    • F24F2110/20—Humidity
    • 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
    • F24F2120/14—Activity 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
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/50—Load

Definitions

  • the present disclosure relates to a control device, an air conditioning system, an air conditioning device control method, a program, a learned model, and a method of generating a learned model.
  • Patent Document 1 In an air conditioning apparatus that performs indoor air conditioning so that the indoor temperature reaches the set temperature input by the user, to appropriately control against large changes in the indoor thermal environment to be air-conditioned. is known (for example, Patent Document 1).
  • the on-line system identifier determines the state of the thermal environment of the utilization section where the indoor unit is arranged, and the driving frequency of the compressor, which is at least the factor of the heat capacity and the heat transfer coefficient of the utilization section. and a parameter representing the relationship between the capacity of the air conditioner is identified every moment based on a plurality of predetermined observation quantities.
  • the method in which the online system identifier identifies the above parameters moment by moment during operation has the problem that the calculation load is large and the power consumption increases.
  • An object of the present invention is to provide a device control method, a program, a learned model, and a method for generating a learned model.
  • control device includes: feedback control means for controlling the air conditioner so that the indoor temperature becomes the set temperature based on the control parameter; model parameter calculation means for calculating parameters of a thermal characteristic model relating to thermal characteristics of a controlled object; Control parameter determination means for determining control parameters based on the parameters of the thermal characteristic model; Update necessity determination for determining whether or not the parameters of the thermal characteristic model need to be updated based on the difference between the outdoor environment and indoor environment when the control parameters were last updated and the latest outdoor environment and indoor environment. comprising means and The model parameter calculation means calculates parameters of the thermal characteristic model when the update necessity determination means determines that the parameters of the thermal characteristic model need to be updated.
  • FIG. 1 shows a hardware configuration of an air conditioner according to Embodiment 1.
  • FIG. FIG. 2 is a block diagram showing the hardware configuration of the control board included in the outdoor unit according to Embodiment 1.
  • FIG. 4 is a block diagram showing the functional configuration of the control board included in the outdoor unit according to Embodiment 1.
  • FIG. 4 is a block diagram showing the configuration of a thermal characteristic model parameter update determination unit according to the first embodiment;
  • FIG. 4 is a flowchart showing the procedure of control parameter determination processing executed by the control board provided in the outdoor unit according to the first embodiment;
  • FIG. 4 is a diagram showing an output example of a simulation when determining control parameters according to the first embodiment; A diagram showing an example of information stored in the control parameter information storage unit according to the modification of the first embodiment A diagram showing the overall configuration of an air conditioning system in a modification of Embodiment 1
  • FIG. 4 is a block diagram showing the hardware configuration of the control device in the modified example of Embodiment 1; A diagram showing a hardware configuration of an air conditioner according to Embodiment 2.
  • FIG. 4 is a block diagram showing the configuration of a thermal characteristic model parameter update determination unit according to Embodiment 2;
  • FIG. 10 is a flow chart showing the procedure of a thermal characteristic model parameter update necessity determination process executed by a thermal characteristic model parameter update determining unit according to the second embodiment;
  • FIG. 11 is a diagram showing an example of a neural network in a modified example of the second embodiment;
  • FIG. 10 is a block diagram showing the functional configuration of a control board included in the outdoor unit according to the third embodiment;
  • FIG. 1 is a diagram showing the hardware configuration of an air conditioner 1 according to the present disclosure.
  • the air conditioner 1 is an example of an air conditioner according to the present disclosure, and an example of an air conditioning system.
  • the air conditioner 1 is a heat pump type air conditioner using a natural refrigerant such as HFC (hydrofluorocarbon) such as R32 or CO 2 as a refrigerant, and is a so-called room air conditioner.
  • the air conditioner 1 includes an outdoor unit 2 installed outdoors and an indoor unit 3 installed indoors.
  • the outdoor unit 2 and the indoor unit 3 are connected via a refrigerant pipe 4 for circulating refrigerant and a communication line 5 .
  • the outdoor unit 2 includes a control board 20, a compressor 21, a four-way switching valve 22, an outdoor heat exchanger 23, an outdoor electromagnetic expansion valve 24, an outdoor fan 25, an outdoor temperature sensor 26, and an outdoor heat exchanger.
  • a temperature sensor 27 is provided.
  • the indoor unit 3 includes a control board 30 , an indoor heat exchanger 31 , an indoor electromagnetic expansion valve 32 , an indoor fan 33 , an indoor temperature sensor 34 and an indoor heat exchanger temperature sensor 35 .
  • the compressor 21 , the four-way switching valve 22 , the outdoor heat exchanger 23 and the outdoor electromagnetic expansion valve 24 in the outdoor unit 2 , and the indoor electromagnetic expansion valve 32 and the indoor heat exchanger 31 in the indoor unit 3 are annularly connected by the refrigerant pipe 4 . connected to A refrigerant circuit is thereby configured.
  • control board 20 is an example of a control device according to the present disclosure, and an example of air conditioning control means.
  • the control board 20 includes a microcomputer 200, a communication interface 201, and an auxiliary storage device 202, as shown in FIG.
  • the microcomputer 200 is a microcontroller that centrally controls the air conditioner 1 . Details of the functions of the control board 20 realized by the microcomputer 200 will be described later.
  • the communication interface 201 is an interface for communicating with the control board 30 of the indoor unit 3 via the communication line 5 .
  • the auxiliary storage device 202 is composed of a readable and writable non-volatile semiconductor memory such as EEPROM (Electrically Erasable Programmable Read-Only Memory) and flash memory.
  • EEPROM Electrically Erasable Programmable Read-Only Memory
  • Auxiliary storage device 202 stores various programs including programs for executing air conditioning control (hereinafter referred to as "air conditioning control programs"), and data used when these programs are executed.
  • the control board 20 can acquire the air conditioning control program or an update program for updating the air conditioning control program from another device through communication.
  • these programs are available on CD-ROM (Compact Disc Read Only Memory), DVD (Digital Versatile Disc), magneto-optical disc, USB (Universal Serial Bus) memory, HDD (Hard Disk Drive), SSD (Solid State Drive) , a memory card or other computer-readable recording medium for distribution.
  • CD-ROM Compact Disc Read Only Memory
  • DVD Digital Versatile Disc
  • magneto-optical disc Digital Versatile Disc
  • USB Universal Serial Bus
  • HDD Hard Disk Drive
  • SSD Solid State Drive
  • the compressor 21 compresses the refrigerant. Specifically, the compressor 21 compresses a low-temperature, low-pressure refrigerant and discharges the high-pressure, high-temperature refrigerant to the four-way switching valve 22 .
  • the compressor 21 has an inverter circuit that can change the number of revolutions according to the drive frequency.
  • Compressor 21 is communicably connected to control board 20 via a communication line (not shown), and changes the drive frequency, ie, the number of revolutions, according to a command from control board 20 .
  • the four-way switching valve 22 is a component for switching the circulation direction of the refrigerant.
  • the state of the four-way switching valve 22 is as indicated by the solid line in FIG.
  • the refrigerant circulates through the compressor 21 , the four-way switching valve 22 , the outdoor heat exchanger 23 , the outdoor electromagnetic expansion valve 24 , the indoor electromagnetic expansion valve 32 and the indoor heat exchanger 31 in this order.
  • the state of the four-way switching valve 22 is as indicated by the dashed line in FIG.
  • the refrigerant circulates through the compressor 21 , the four-way switching valve 22 , the indoor heat exchanger 31 , the indoor electromagnetic expansion valve 32 , the outdoor electromagnetic expansion valve 24 and the outdoor heat exchanger 23 in that order.
  • the outdoor heat exchanger 23 exchanges heat between the outdoor air (that is, outside air) sucked by the outdoor fan 25 and the refrigerant.
  • the outdoor heat exchanger 23 functions as a condenser when the operation mode of the air conditioner 1 is cooling, and functions as an evaporator when the operation mode of the air conditioner 1 is heating.
  • the outdoor electromagnetic expansion valve 24 is installed between the outdoor heat exchanger 23 and the indoor electromagnetic expansion valve 32, and decompresses and expands the refrigerant flowing through the refrigerant pipe 4.
  • the outdoor electromagnetic expansion valve 24 is, for example, an electromagnetic expansion valve that can adjust the opening of a throttle by a stepping motor (not shown).
  • the outdoor electromagnetic expansion valve 24 is communicably connected to the control board 20 via a communication line (not shown), and adjusts the pressure of the refrigerant by changing the degree of opening according to a command from the control board 20 .
  • the outdoor fan 25 is, for example, a propeller fan, sucks in outside air, and sends out the air heat-exchanged by the outdoor heat exchanger 23 to the outdoors.
  • the outdoor fan 25 is communicably connected to the control board 20 via a communication line (not shown), and changes the number of revolutions according to a command from the control board 20 .
  • the outdoor temperature sensor 26 measures the temperature of outdoor air sucked by the outdoor fan 25 .
  • the outdoor temperature sensor 26 is communicably connected to the control board 20 via a communication line (not shown), and outputs a signal indicating the measured outdoor air temperature (hereinafter referred to as "outdoor temperature") to the control board 20.
  • the outdoor heat exchanger temperature sensor 27 measures the temperature of the outdoor heat exchanger 23 .
  • the outdoor heat exchanger temperature sensor 27 is communicably connected to the control board 20 via a communication line (not shown) and outputs a signal indicating the measured temperature of the outdoor heat exchanger 23 to the control board 20 .
  • control board 30 includes a microcontroller for overall control of the indoor unit 3 in accordance with commands from the outdoor unit 2 and the control board 20 of the outdoor unit 2 via the communication line 5, although neither is shown.
  • a communication interface including an interface for communication and an interface for wired or wireless communication with a remote controller (not shown), and an auxiliary storage device consisting of a readable and writable non-volatile semiconductor memory such as EEPROM and flash memory.
  • the indoor heat exchanger 31 exchanges heat between the indoor air sucked by the indoor fan 33 and the refrigerant from the outdoor unit 2 .
  • the indoor heat exchanger 31 functions as an evaporator during cooling operation, and functions as a condenser during heating operation.
  • the indoor electromagnetic expansion valve 32 is installed between the indoor heat exchanger 31 and the outdoor electromagnetic expansion valve 24, and decompresses and expands the refrigerant flowing through the refrigerant pipe 4.
  • the indoor electromagnetic expansion valve 32 is, for example, an electromagnetic expansion valve that can adjust the opening of a throttle by a stepping motor (not shown).
  • the indoor electromagnetic expansion valve 32 is communicably connected to the control board 30 via a communication line (not shown), and adjusts the pressure of the refrigerant by changing the degree of opening according to a command from the control board 30 .
  • the indoor fan 33 is, for example, a propeller fan, sucks indoor air, and sends out the air heat-exchanged by the indoor heat exchanger 31 indoors.
  • the indoor fan 33 is communicably connected to the control board 30 via a communication line (not shown), and changes the number of revolutions according to a command from the control board 30 .
  • the indoor temperature sensor 34 measures the temperature of the air sucked by the indoor fan 33 (that is, the indoor temperature).
  • the room temperature sensor 34 is communicably connected to the control board 30 via a communication line (not shown) and outputs a signal indicating the measured room temperature to the control board 30 .
  • the indoor heat exchanger temperature sensor 35 measures the temperature of the indoor heat exchanger 31 .
  • the indoor heat exchanger temperature sensor 35 is communicably connected to the control board 30 via a communication line (not shown) and outputs a signal indicating the measured temperature of the indoor heat exchanger 31 to the control board 30 .
  • the outdoor temperature sensor 26 of the outdoor unit 2 and the indoor temperature sensor 34 of the indoor unit 3 are examples of environment acquisition means according to the present disclosure.
  • the control board 20 functionally includes a sensor information acquisition unit 210, a setting information acquisition unit 211, a feedback control unit 212, a thermal characteristic model parameter update determination unit 213, and a thermal characteristic model A parameter calculator 214 and a control parameter determiner 215 are provided. These functional units are implemented by the microcomputer 200 executing the above-described air conditioning control program stored in the auxiliary storage device 202 .
  • the sensor information acquisition unit 210 acquires sensor information.
  • the sensor information includes the measurement result of the outdoor temperature sensor 26, the measurement result of the outdoor heat exchanger temperature sensor 27, the measurement result of the indoor temperature sensor 34, and the measurement result of the indoor heat exchanger temperature sensor 35.
  • the sensor information acquisition unit 210 supplies the measurement result of the outdoor temperature sensor 26 and the measurement result of the indoor temperature sensor 34 among the acquired sensor information to the feedback control unit 212 . Further, the sensor information acquisition unit 210 sorts and stores the acquired sensor information in the sensor information storage unit 230 in chronological order.
  • the sensor information storage unit 230 is a memory area provided by the auxiliary storage device 202 .
  • the setting information acquisition unit 211 acquires setting information.
  • the setting information is information related to the operation of the air conditioner 1 set by the user via a remote control, an operation panel, or the like (none of which is shown).
  • the setting information acquisition unit 211 supplies the acquired setting information to the feedback control unit 212, and also sorts and stores the information in the setting information storage unit 231 in chronological order.
  • the setting information storage unit 231 is a memory area provided by the auxiliary storage device 202 .
  • the feedback control unit 212 is an example of feedback control means according to the present disclosure.
  • the feedback control unit 212 controls each actuator (that is, the compressor 21, the outdoor electromagnetic expansion valve 24, the Feedback control is performed for the outdoor fan 25, the indoor electromagnetic expansion valve 32, and the indoor fan 33).
  • a control parameter means a PID control parameter (Kp, Ti, Td) in the present embodiment.
  • the feedback control unit 212 generates information indicating a control value for each actuator (hereinafter referred to as “control value information”), outputs the generated control value information to each actuator, and stores the control value information in the control value information storage unit 232 in time series. store them separately.
  • the control value information storage unit 232 is a memory area provided by the auxiliary storage device 202 .
  • the thermal characteristic model parameter update determination unit 213 is an example of update necessity determination means according to the present disclosure.
  • the thermal characteristic model parameter update determination unit 213 updates the parameters of the thermal characteristic model regarding the thermal characteristics of the controlled object based on the difference between the outdoor environment and the indoor environment when the control parameters were last updated and the latest outdoor environment and indoor environment. Determine whether update is necessary.
  • the thermal characteristic model parameter update determination unit 213 includes a latest data acquisition unit 216 , a control parameter update time data acquisition unit 217 , and a determination unit 218 .
  • the latest data acquisition unit 216 acquires the latest outdoor temperature and indoor temperature from the sensor information storage unit 230 .
  • the control parameter update time data acquisition unit 217 acquires the outdoor temperature and the indoor temperature at the time of control parameter update from the control parameter information storage unit 233 .
  • the control parameter information storage unit 233 is an example of control parameter information storage means according to the present disclosure, and is a memory area provided by the auxiliary storage device 202 .
  • the control parameter information storage unit 233 stores the most recently determined (that is, updated) control parameter and the outdoor temperature and indoor temperature at the time of the update.
  • the determination unit 218 determines whether or not the parameters of the thermal characteristic model need to be updated based on the latest outdoor temperature, indoor temperature, and the outdoor temperature and indoor temperature at the time of updating the control parameters. Determine whether parameters need to be calculated.
  • the thermal characteristic model parameter calculation unit 214 is an example of model parameter calculation means according to the present disclosure.
  • the thermal characteristic model parameter calculation unit 214 calculates the room temperature history acquired from the sensor information storage unit 230 and the control Based on the control value information history of each actuator acquired from the value information storage unit 232, parameters of the thermal characteristic model are calculated.
  • the thermal characteristic model parameter calculation unit 214 uses the calculated parameters of the thermal characteristic model, the outdoor temperature and the indoor temperature at the time of calculating the parameters of the thermal characteristic model, the indoor temperature at the start of operation, and the control value information of each actuator as control parameters. It is supplied to the determination unit 215 .
  • the control parameter determination unit 215 is an example of control parameter determination means according to the present disclosure.
  • the control parameter determining unit 215 uses the parameters of the thermal characteristic model supplied from the thermal characteristic model parameter calculating unit 214, the indoor temperature at the start of operation and the control value information of each actuator, and the latest information obtained from the setting information storage unit 231.
  • a control parameter for each actuator is determined based on the set temperature.
  • the control parameter determining unit 215 stores the determined control parameters and the outdoor temperature and the indoor temperature at the time of determining the control parameters (that is, at the time of updating the control parameters) in the control parameter information storage unit 233 . If the control parameters have never been updated by the control parameter determination unit 215, the control board 20 operates the feedback control unit 212 with the initially set control parameters.
  • the control parameter information storage unit 233 stores information indicating the control parameters of each actuator and information indicating the outdoor temperature and indoor temperature when the control parameters were determined.
  • the control parameter information storage unit 233 stores the control parameters for each actuator separately for a comfort-oriented mode that brings the indoor temperature to the set temperature as soon as possible and an energy-saving mode that reduces the amount of power consumption as much as possible.
  • the feedback control unit 212 acquires the control parameter of each actuator from the control parameter information storage unit 233 at a predetermined timing such as when the power of the air conditioner 1 is turned on again. At this time, the user selects either the comfort-oriented mode or the energy-saving mode, and the user's selection result is notified to the feedback control unit 212 via the setting information acquisition unit 211 . If the user has not selected a mode, one of the modes is notified to feedback control section 212 as an initial setting. The feedback control unit 212 acquires the control parameter of each actuator corresponding to the mode selected by the user or the mode initially set from the control parameter information storage unit 233 .
  • FIG. 5 is a flowchart showing the procedure of control parameter determination processing executed by the control board 20 of the outdoor unit 2.
  • the control parameter determination process is executed, for example, when the user performs a stop operation via the remote controller or the operation panel, or when the set temperature is changed.
  • Step S1 The thermal characteristic model parameter update determination unit 213 of the control board 20 acquires the latest outdoor temperature and indoor temperature from the sensor information storage unit 230, and acquires the outdoor temperature and indoor temperature at the time of control parameter update from the control parameter information storage unit 233. do. After that, the process of the control board 20 transitions to step S2.
  • Step S2 The thermal characteristic model parameter update determination unit 213 determines whether or not it is necessary to update the parameters of the thermal characteristic model. Specifically, the thermal characteristic model parameter update determination unit 213 compares the acquired latest (that is, this time) outdoor temperature and indoor temperature with the outdoor temperature and indoor temperature at the time of the previous control parameter update, When at least one of the difference between the current outdoor temperature and the previous update outdoor temperature and the difference between the current indoor temperature and the previous update exceeds a predetermined threshold value determines that the indoor/outdoor thermal characteristics have changed since the previous update, and determines that the parameters of the thermal characteristics model need to be updated. If it is determined that the parameters of the thermal characteristic model need to be updated (step S2; YES), the processing of the control board 20 transitions to step S3.
  • the thermal characteristic model parameter update determination unit 213 determines that the indoor and outdoor thermal characteristics have not changed, determines that there is no need to update the parameters of the thermal characteristic model (step S2; NO), and ends the control parameter determination process. do.
  • Step S3 The thermal characteristic model parameter calculation unit 214 acquires the history of room temperature from the sensor information storage unit 230 and acquires the history of control value information of each actuator from the control value information storage unit 232 . After that, the processing of the control board 20 transitions to step S4.
  • the thermal characteristic model parameter calculator 214 calculates parameters of the thermal characteristic model. Whether it is a continuous-time system or a discrete-time system, a first-order lag system or a higher-order lag system, a single-input single-output system, or a multiple-input multiple-output system depends on the design specifications of the air conditioner 1, the object to be controlled, and the linearization method. depends on In the present embodiment, a discrete-time system, a one-input one-output system, and a first-order lag system considering dead time will be described.
  • t s is the recording cycle of the control value of each actuator and the room temperature
  • (t) is a variable representing time series
  • (t+t s ) represents the time following (t) in time series.
  • K is the system gain
  • T is the time constant
  • L is the dead time, which are the parameters of the thermal characteristic model.
  • the thermal characteristic model parameter calculation unit 214 receives Qm(t) calculated from the control value x m (t) of each actuator acquired from the control value information storage unit 232 and calculates the time response of Tc(t). As for the dead time L, if the accuracy is higher than the recording cycle, it is rounded down or rounded up as necessary.
  • the thermal characteristic model parameter calculation unit 214 calculates the error between the calculated Tc(t) and the room temperature Tm(t) acquired from the sensor information storage unit 230.
  • the mean square error MSE is used as the error evaluation function to be minimized.
  • the thermal characteristic model parameter calculator 214 calculates the time response of the thermal characteristic model by changing the system gain K, the time constant T, and the dead time L, and determines the system gain K and the time constant that minimize the mean square error MSE A combination of T and dead time L is calculated. As described above, the thermal characteristic model parameter calculator 214 calculates the parameters of the thermal characteristic model. After that, the processing of the control board 20 transitions to step S5.
  • Step S5 The control parameter determination unit 215 is based on the parameters of the thermal characteristic model calculated in step S4, the room temperature at the start of operation, the control value information of each actuator, and the latest setting temperature acquired from the setting information storage unit 231. to determine the control parameters.
  • a feedback control simulator (not shown) is incorporated in the control parameter determining unit 215, and according to a predetermined feedback control rule, the control value xc (t) of each actuator, the amount of heat supplied to the room Qc(t), the room temperature Tc(t) is calculated.
  • the amount of heat Qc(t) supplied to the room is calculated as a function f( xc (t)) of the control value xc (t) of each actuator.
  • a constraint condition may be given to the control value x c (t) indicating the frequency of the compressor 21 so that it does not fall below the dew point.
  • the amount of electric power E is calculated based on the arrival time tr when the indoor temperature Tc(t) reaches the set temperature, the maximum overshoot amount ⁇ Tmax, and the control value xc (t) of each actuator.
  • the integrated time for calculating the electric energy E is, for example, the integrated time from the time of startup to the time tr when the set temperature is reached, or the time t from the time of startup to the time when the set temperature falls within the specified error range ⁇ Te.
  • the integrated time up to e and the integrated time up to a predesignated time ta from the time of startup are used.
  • the control parameter determination unit 215 changes the combination of control parameters to calculate the time response of the thermal characteristic model, and calculates the combination of control parameters that minimizes the arrival time tr and the electric energy E, respectively.
  • a more suitable operating condition can be selected by giving constraints on the maximum overshoot amount ⁇ Tmax and the arrival time t r . can do.
  • the control parameter determination unit 215 stores the calculated control parameter of each actuator in the control parameter information storage unit 233 together with the outdoor temperature and the indoor temperature. After that, the control board 20 ends the control parameter determination process.
  • the feedback control unit 212 updates the control parameter of each actuator to the value read from the control parameter information storage unit 233 at a predetermined timing such as when the power of the air conditioner 1 is turned on again. At this time, as described above, the user selects either the comfort-oriented mode or the energy-saving mode, and the feedback control unit 212 is notified of the selection result via the setting information acquisition unit 211 .
  • the feedback control unit 212 determines from the control parameter information storage unit 233 that the control parameter of each actuator corresponding to the comfort-oriented mode, that is, the arrival time tr becomes the minimum. Read the control parameters of each actuator. In addition, when the energy saving mode is selected by the user, the feedback control unit 212 selects the control parameter of each actuator corresponding to the energy saving mode from the control parameter information storage unit 233, that is, the control parameter of each actuator that minimizes the electric energy E. Read control parameters.
  • the air conditioning apparatus 1 according to Embodiment 1 can achieve air conditioning that follows changes in the indoor and outdoor environments, so it is possible to prevent the comfort of the user from being impaired.
  • control board 20 of the outdoor unit 2 has at least one of the difference between the latest outdoor temperature and the outdoor temperature at the previous update and the difference between the latest indoor temperature and the indoor temperature at the previous update in advance.
  • the control board 20 calculates the parameters of the thermal characteristic model and determines the control parameters. Therefore, the number of times the control parameters are updated can be reduced, the calculation load can be suppressed, and the power consumption of the air conditioner 1 can be suppressed.
  • the thermal characteristic model parameter update determination unit 213 may have a plurality of thresholds for determining whether updating is necessary, and the determination conditions may be subdivided.
  • the control parameter information storage unit 233 stores control parameters for each determined condition, as shown in FIG.
  • two thresholds, a first threshold T1 and a second threshold T2 are used as thresholds for the difference in outdoor temperature for determining whether the update is necessary.
  • Two thresholds, a third threshold T 3 and a fourth threshold T 4 are used.
  • the difference between the latest outdoor temperature and the previous updated outdoor temperature is less than or equal to the first threshold value T1
  • the difference between the latest indoor temperature and the previous updated indoor temperature is If the third threshold value T3 or less, the thermal characteristic model parameter update determination unit 213 determines that the parameters of the thermal characteristic model do not need to be updated. Otherwise, that is, the difference between the latest outdoor temperature and the last updated outdoor temperature is greater than the first threshold value T1 , or the difference between the latest indoor temperature and the last updated indoor temperature is If it is greater than the third threshold value T3 , the thermal characteristic model parameter update determination unit 213 determines that the parameters of the thermal characteristic model need to be updated.
  • the difference between the latest outdoor temperature and the outdoor temperature at the previous update is less than or equal to the first threshold T1
  • the difference between the latest indoor temperature and the indoor temperature at the previous update is the fourth threshold.
  • the control parameter ⁇ c,1 for the comfort-oriented mode and the control parameter ⁇ e,1 for the energy-saving mode are associated.
  • ⁇ indicates a control constant
  • subscripts c and e indicate a comfort-oriented mode and an energy-saving mode, respectively
  • subscript 1 indicates the first case.
  • the thresholds for the outdoor temperature and the indoor temperature for determining whether the update is necessary are not limited to two, and may be three or more.
  • the feedback control unit 212 determines the control parameter in the control parameter determination process shown in FIG. After being stored in the storage unit 233, based on the difference between the current outdoor temperature and the outdoor temperature at the time of the previous update, and the difference between the current indoor temperature and the indoor temperature at the time of the previous update, a more suitable control parameter is set as the control parameter information. You may read from the memory
  • the control parameter when the control parameter is determined due to the user's stop operation, the temperature difference when the operation of the air conditioner 1 is stopped (the difference between the outdoor temperature at that time and the outdoor temperature at the time of the previous update, and the If the difference between the room temperature at the time and the room temperature at the time of the previous update) and the temperature difference at the next start-up operation are different, using the control parameters updated at the time of stop, that is, the control parameters updated most recently, Comfort may be compromised. Therefore, by making it possible to select more suitable control parameters based on the respective temperature differences during start-up operation, it is possible to suppress the decrease in comfort.
  • FIG. 8 is a diagram showing the overall configuration of the air conditioning system 10 in this modification.
  • the air conditioning system 10 is an example of an air conditioning system according to the present disclosure. As shown in FIG. 8 , the air conditioning system 10 includes an air conditioning device 1 ′ and a control device 11 .
  • the air conditioner 1 ′ and the control device 11 are communicably connected to each other via a communication line 12 .
  • the configuration may be such that communication between the air conditioner 1′ and the control device 11 is performed wirelessly.
  • the air conditioner 1' is an example of the air conditioner according to the present disclosure.
  • the hardware configuration of the air conditioner 1' is the same as that of the air conditioner 1 (see FIG. 1).
  • the control board 20 of the outdoor unit 2 included in the air conditioner 1' does not include the functional units shown in FIG. 3 and does not execute the control parameter determination process shown in FIG.
  • the control device 11 is an example of a control device according to the present disclosure, and an example of air conditioning control means.
  • the control device 11 is a computer that controls each actuator of the air conditioner 1', that is, the compressor 21, the outdoor electromagnetic expansion valve 24, the outdoor fan 25, the indoor electromagnetic expansion valve 32, and the indoor fan 33, and is shown in FIG.
  • the hardware configuration includes a CPU (Central Processing Unit) 110, a communication interface 111, a ROM (Read Only Memory) 112, a RAM (Random Access Memory) 113, and an auxiliary storage device 114. These components are interconnected via bus 115 .
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • the CPU 110 comprehensively controls the control device 11 .
  • the communication interface 111 is hardware for communicating with the air conditioner 1 ′ via the communication line 12 . Note that the communication interface 111 may be hardware for wirelessly communicating with the air conditioner 1'.
  • the ROM 112 stores multiple pieces of firmware and data used when executing these pieces of firmware.
  • a RAM 113 is used as a work area for the CPU 110 .
  • the auxiliary storage device 114 is composed of a readable/writable non-volatile semiconductor memory, HDD, or the like.
  • the readable/writable non-volatile semiconductor memory is, for example, EEPROM, flash memory, or the like.
  • Auxiliary storage device 114 stores various programs including the above-described air conditioning control program, and data used when these programs are executed.
  • the control device 11 can acquire the air conditioning control program or an update program for updating the air conditioning control program from another device through communication. These programs can also be stored and distributed in computer-readable recording media such as CD-ROMs, DVDs, magneto-optical discs, USB memories, HDDs, SSDs, and memory cards. When such a recording medium is directly or indirectly attached to itself, the control device 11 may read and acquire the air conditioning control program or update program from the recording medium.
  • the control device 11 includes the functional units shown in FIG. 3, and executes the control parameter determination process shown in FIG.
  • the functional units included in the control device 11 are implemented by the CPU 110 executing an air conditioning control program stored in the auxiliary storage device 114 .
  • At least a part of the sensor information storage unit 230, the setting information storage unit 231, the control value information storage unit 232, and the control parameter information storage unit 233 included in the control board 20 in the above embodiment can be connected to the air conditioner 1, the Internet, or the like. may be provided in a server such as a cloud server that is communicatively connected via a network. By doing so, the capacity of the auxiliary storage device 202 mounted on the control board 20 can be reduced. Further, even if the server includes at least part of the thermal characteristic model parameter update determination unit 213, the thermal characteristic model parameter calculation unit 214, and the control parameter determination unit 215 included in the control board 20 in the above embodiment, good.
  • Modification 4 All or part of the functional units (see FIG. 3) of the control board 20 may be realized by dedicated hardware.
  • Dedicated hardware is, for example, a single circuit, multiple circuits, a programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a combination thereof.
  • FIG. 10 is a diagram showing the hardware configuration of the air conditioner 13 according to the second embodiment.
  • the air conditioner 13 is an example of an air conditioner according to the present disclosure.
  • the indoor unit 3 includes a control board 30, an indoor heat exchanger 31, an indoor electromagnetic expansion valve 32, an indoor fan 33, an indoor temperature sensor 34, and an indoor heat exchanger temperature sensor. 35, an indoor humidity sensor 36 for measuring indoor humidity and an infrared sensor 37 are added.
  • the parameters of the thermal characteristic model are calculated based on the outdoor temperature measured by the outdoor temperature sensor 26 of the outdoor unit 2 and the indoor temperature measured by the indoor temperature sensor 34 of the indoor unit 3. It was determined no. In the second embodiment, it is determined whether or not to calculate the parameters of the thermal characteristic model based on the information acquired by the indoor humidity sensor 36 and the infrared sensor 37 of the indoor unit 3 in addition to the outdoor temperature and the indoor temperature. .
  • the infrared sensor 37 detects the temperature of the indoor space by scanning infrared rays.
  • the infrared sensor 37 is composed of, for example, thermopiles arranged vertically, and scanned horizontally at regular intervals.
  • a plurality of vertical thermal images (that is, one-dimensional thermal images) acquired by the infrared sensor 37 are created by scanning the infrared sensor 37 in the horizontal direction, and a plurality of vertical thermal images are synthesized after scanning.
  • a two-dimensional thermal image is created in the room.
  • the sensor information acquisition unit 210 of the present embodiment also acquires the measurement result of the indoor humidity sensor 36 and the thermal image created by the infrared sensor 37 as sensor information, and stores them in the sensor information storage unit 230 .
  • FIG. 11 is a diagram showing the configuration of the thermal characteristic model parameter update determination unit 213 included in the control board 20 of the air conditioner 13 according to the second embodiment.
  • the thermal characteristic model parameter update determination unit 213 in the second embodiment includes a latest data acquisition unit 216, a control parameter update time data acquisition unit 217, an inference unit 219, and a determination unit 218. .
  • the latest data acquisition unit 216 acquires the latest outdoor temperature, indoor temperature, indoor humidity, and thermal image from the sensor information storage unit 230 .
  • the control parameter update time data acquisition unit 217 acquires the estimated heat load amount at the time of control parameter update from the control parameter information storage unit 233 .
  • the inference unit 219 uses a learned model for inferring the estimated heat load from the outdoor temperature, indoor temperature, indoor humidity, and thermal image, which is stored in the learned model storage unit 234 and generated in advance by learning. to infer the estimated heat load. That is, the inference unit 219 inputs the acquired outdoor temperature, indoor temperature, indoor humidity, and thermal image to the learned model, thereby acquiring an estimated heat load amount inferred from these input data.
  • the trained model storage unit 234 is an example of trained model storage means according to the present disclosure, and is a memory area provided by the auxiliary storage device 202 .
  • the determination unit 218 calculates the parameters of the thermal characteristic model based on the estimated heat load amount at the previous update acquired by the control parameter update time data acquisition unit 217 and the estimated heat load amount inferred by the inference unit 219. determine whether it is necessary to Specifically, when the difference between the latest estimated heat load amount and the estimated heat load amount at the time of the previous update exceeds a predetermined threshold value, the determining unit 218 It is determined that the characteristics have changed and that the parameters of the thermal characteristic model need to be updated.
  • FIG. 12 is a flow chart showing the procedure of the thermal characteristic model parameter update necessity determination process executed by the thermal characteristic model parameter update determination unit 213 according to the second embodiment.
  • Step S10 The thermal characteristic model parameter update determination unit 213 acquires the latest outdoor temperature, indoor temperature, indoor humidity, and thermal image from the sensor information storage unit 230 . After that, the process of the thermal characteristic model parameter update determination unit 213 transitions to step S11.
  • Step S11 The thermal characteristic model parameter update determination unit 213 inputs the acquired outdoor temperature, indoor temperature, indoor humidity, and thermal image to the learned model stored in the learned model storage unit 234, and acquires the estimated heat load amount. . After that, the processing of the thermal characteristic model parameter update determination unit 213 transitions to step S12.
  • Step S12 The thermal characteristic model parameter update determination unit 213 calculates parameters of the thermal characteristic model based on the obtained estimated heat load amount and the estimated heat load amount at the time of the previous control parameter update obtained from the control parameter information storage unit 233. It is determined whether it is necessary to update the parameters of the thermal characteristic model. In addition, when the thermal characteristic model parameter update determination unit 213 determines that the parameter of the thermal characteristic model needs to be updated, the estimated heat load amount acquired this time is controlled by the control parameter determination unit 215 after the control parameter is determined. It is saved in the parameter information storage unit 233 .
  • the outdoor temperature, the indoor temperature, the indoor humidity, and the thermal image are input to the learned model to acquire the estimated heat load, and the acquired estimated heat load and the estimated heat load amount at the time of the previous update, it is determined whether or not the control parameters need to be updated.
  • the indoor humidity as an input, it is possible to consider the latent heat load required to reduce the indoor humidity in addition to the sensible heat load required to lower the indoor temperature.
  • thermal images it is possible to estimate information such as human body heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout.
  • human body heat load it is possible to take into consideration the heat load caused by the heat generated by the person, and it is possible to make a determination considering the heat load that changes depending on the presence or absence of people, the number of people, the size, and the like.
  • equipment heat load it is possible to make a determination that takes into consideration the heat load caused by the lighting equipment and the electronic equipment generating heat.
  • the ventilation heat load it is possible to make judgments that take into account the heat load that occurs when air is exchanged between the indoor and outdoor areas when opening windows or doors for ventilation.
  • the room wall temperature it is possible to make a determination that takes into consideration the insulation performance of the walls, floor, and ceiling of the room.
  • the room layout it is possible to make a determination considering the volume of the room. In this way, by using a thermal image as an input, it is possible to expect the effect of being able to more accurately determine changes in the indoor environment between now and when the control parameters are updated.
  • Modification 1 In the above embodiment, a configuration in which a pre-generated learned model is stored in the control board 20 has been described. You may make it provide a part.
  • the model generator generates a trained model for inferring the estimated amount of heat load, based on learning data acquired by communication from a plurality of other air conditioners 13 .
  • a plurality of other air conditioners 13 may be installed in the same building as the air conditioner 13 concerned, or may be installed in a different building.
  • the model generator learns the estimated heat load corresponding to the input data (that is, outdoor temperature, indoor temperature, indoor humidity, and thermal image), for example, by supervised learning using a neural network.
  • a neural network is composed of an input layer to which input data is input, an output layer to which output data is output, and at least one intermediate layer (also referred to as a hidden layer). Each layer is composed of a plurality of nodes. be.
  • the number of nodes in the input layer corresponds to the number of input data, and the number of nodes in the output layer corresponds to the number of output data.
  • FIG. 13 shows an example of a three-layer neural network. In the example shown in FIG. 13, the input layer consists of nodes X1 to X3, the intermediate layer consists of nodes Y1 to Y2, and the output layer consists of nodes Z1 to Z3.
  • the model generator uses the data set included in the learning data as teacher data, and outputs from the output layer when input data (that is, outdoor temperature, indoor temperature, indoor humidity, and thermal image) is input to the input layer
  • input data that is, outdoor temperature, indoor temperature, indoor humidity, and thermal image
  • the weight of the connection between each layer is performed by adjusting the weights w21 to w26) between layers to generate a trained model.
  • the learning algorithm used in the model generation unit it is also possible to adopt deep learning (Deep Learning) that learns to extract the feature amount itself, and other known methods such as genetic programming, functional logic programming, Machine learning may be performed according to support vector machines and the like.
  • Deep learning Deep Learning
  • FIG. 14 is a diagram showing the overall configuration of the air conditioning system 14 in this modified example.
  • the air conditioning system 14 is an example of an air conditioning system according to the present disclosure.
  • air conditioners 13′A to 13′C are installed in a plurality of rooms A to C in the same building B, respectively, and the server 15 controls each of the air conditioners 13′A to 13′C. is controlled.
  • the air conditioners 13'A to 13'C and the server 15 are communicably connected via a network N such as the Internet.
  • the air conditioners 13'A to 13'C are examples of air conditioners according to the present disclosure.
  • the hardware configuration of the air conditioners 13'A to 13'C is the same as that of the air conditioner 1 (see FIG. 1).
  • the control board 20 of the outdoor unit 2 included in the air conditioners 13'A to 13'C does not include the functional units shown in FIGS. 3 and 11, and does not execute the processes shown in FIGS.
  • the server 15 is an example of a control device according to the present disclosure, and an example of air conditioning control means.
  • the server 15 is a computer that controls the actuators of the air conditioners 13'A to 13'C, that is, the compressor 21, the outdoor electromagnetic expansion valve 24, the outdoor fan 25, the indoor electromagnetic expansion valve 32, and the indoor fan 33.
  • the hardware configuration of the server 15 is the same as that of the control device 11 in Modification 2 of Embodiment 1 (see FIG. 9).
  • the server 15 includes the functional units shown in FIGS. 3 and 11, and executes the control parameter determination process shown in FIG. 5 and the thermal characteristic model parameter update necessity determination process shown in FIG.
  • the air conditioners 13′A to 13′C By connecting the air conditioners 13′A to 13′C via the server 15 in this way, for example, it becomes possible to perform air conditioning that takes into consideration the room temperature of adjacent rooms, and when predicting the wall temperature, It becomes possible to improve the accuracy. Specifically, if the air conditioner 13'B of the room B adjacent to the room A operates and the room temperature of the room B approaches the set temperature, the wall of the room A adjacent to the room B is close to the set temperature of the air conditioner 13'B. Also, if the air conditioner 13'B is not in operation, the temperature of the wall adjacent to the room B among the walls of the room A is close to the outside air temperature.
  • the server 15 holds the floor plan information of the building B in advance. As a result, it is possible to grasp in advance the difference in the amount of heat load caused by the difference in the layout of the room, and it is possible to improve the estimation accuracy of the amount of heat load.
  • the floor plan information of building B includes information indicating the layout of each room in building B, such as whether it is a corner room or a middle room, and whether it is on the top floor or not. For example, from information such as whether a room is a corner room or a middle room, or whether it is on the top floor or not, it is possible to know in advance which side of the room the wall is in contact with the outside air. can be enhanced.
  • the information stored in the control parameter information storage unit 233 may be shared for rooms determined to have the same or similar room layout information. By sharing the stored information, the update frequency of the control parameters increases as compared with the case where only one air conditioner 13' is operated. As a result, it is possible to more quickly prevent the comfort of the user from being impaired.
  • a thermal image processing unit 220 is added as a functional configuration to the control board 20 included in the outdoor unit 2 according to the third embodiment.
  • the sensor information acquisition unit 210 of the present embodiment outputs the thermal image acquired from the infrared sensor 37 (see FIG. 10) to the thermal image processing unit 220, and outputs other sensor information to the thermal image processing unit 220.
  • the thermal image processing unit 220 is an example of thermal image processing means according to the present disclosure.
  • the thermal image processing unit 220 estimates human body heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout from the thermal image input from the sensor information acquisition unit 210 .
  • the estimated human body heat load, equipment heat load, ventilation heat load, room wall temperature, and room layout are stored in the sensor information storage unit 230 .
  • the sensor information storage unit 230 stores the sensor information input from the sensor information acquisition unit 210, and the human body heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout input from the thermal image processing unit 220. are associated with each other and stored as a sensor information history.
  • the thermal characteristic model parameter update determination unit 213 of the present embodiment has the same configuration as the thermal characteristic model parameter update determination unit 213 of the second embodiment (see FIG. 11). However, in the present embodiment, the latest data acquisition unit 216 obtains the latest outdoor temperature, indoor temperature, indoor humidity, human heat load, equipment heat load, ventilation heat load, indoor wall temperature, and indoor temperature from the sensor information storage unit 230 . Get a floor plan for
  • the inference unit 219 of the present embodiment stores the outdoor temperature, indoor temperature, indoor humidity, human body heat load, equipment heat load, ventilation heat load, which are generated in advance by learning, which are stored in the learned model storage unit 234.
  • the estimated heat load is inferred using a trained model for inferring the estimated heat load from the room wall temperature and room layout. That is, the inference unit 219 of the present embodiment adds the acquired outdoor temperature, indoor temperature, indoor humidity, human heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout to the learned model. By inputting, it is possible to obtain the estimated heat load amount inferred from these input data.
  • the control board 20 in Embodiment 3 estimates the human body heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout from the thermal image obtained by the infrared sensor 37. and store it in the sensor information storage unit 230 .
  • Information on values such as human body heat load, equipment heat load, ventilation heat load, room wall temperature, and room layout has a smaller data size than a thermal image. Therefore, the amount of data to be stored in the sensor information storage unit 230 can be reduced.
  • the thermal image processing unit 220 estimates at least one of human body heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout from the indoor thermal image, and the learned model is for inferring an estimated heat load from input data including outdoor temperature, indoor temperature, indoor humidity, and at least one of human heat load, equipment heat load, ventilation heat load, indoor wall temperature, and room layout; can be anything.
  • Modification 1 All or part of the functional units of the control board 20 (see FIG. 15) may be realized by dedicated hardware.
  • Dedicated hardware may be, for example, single circuits, multiple circuits, programmed processors, ASICs, FPGAs, or combinations thereof.

Landscapes

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

Abstract

La présente invention concerne une carte de commande (20) destinée à un climatiseur et comprenant : une unité de commande de rétroaction (212) qui commande le climatiseur de telle sorte que la température intérieure devient une température prédéfinie sur la base de paramètres de commande ; une unité de calcul de paramètre de modèle de caractéristique thermique (214) qui calcule les paramètres d'un modèle de caractéristique thermique relatif à la caractéristique thermique d'un objet à commander ; une unité de détermination de paramètre de commande (215) qui détermine des paramètres de commande sur la base des paramètres du modèle de caractéristique thermique ; et une unité d'évaluation de mise à jour de paramètre de modèle de caractéristique thermique (213) qui évalue si les paramètres du modèle de caractéristique thermique doivent être mis à jour, sur la base de la différence entre l'environnement extérieur et l'environnement intérieur lorsque les paramètres de commande ont été mis à jour en dernier et les derniers environnements extérieur et intérieur. L'unité de calcul de paramètre de modèle de caractéristique thermique (214) calcule les paramètres du modèle de caractéristique thermique s'il est évalué par l'unité d'évaluation de mise à jour de paramètre de modèle de caractéristique thermique (213) que les paramètres du modèle de caractéristique thermique doivent être mis à jour. Ainsi, la consommation d'énergie est réduite au minimum sans affecter le confort de l'utilisateur.
PCT/JP2023/001911 2022-02-07 2023-01-23 Dispositif de commande, système de climatisation, procédé de commande pour climatiseur, programme, modèle appris, et procédé de génération d'un modèle appris WO2023149259A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2023578483A JPWO2023149259A5 (ja) 2023-01-23 制御装置、空気調和システム、空気調和装置の制御方法及びプログラム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2022-017169 2022-02-07
JP2022017169 2022-02-07

Publications (1)

Publication Number Publication Date
WO2023149259A1 true WO2023149259A1 (fr) 2023-08-10

Family

ID=87552162

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2023/001911 WO2023149259A1 (fr) 2022-02-07 2023-01-23 Dispositif de commande, système de climatisation, procédé de commande pour climatiseur, programme, modèle appris, et procédé de génération d'un modèle appris

Country Status (1)

Country Link
WO (1) WO2023149259A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003207189A (ja) * 2002-01-18 2003-07-25 Foundation For The Promotion Of Industrial Science 室内温熱環境設計システム及びその方法
JP2021063611A (ja) * 2019-10-11 2021-04-22 株式会社富士通ゼネラル 空気調和システム
WO2021130960A1 (fr) * 2019-12-26 2021-07-01 三菱電機株式会社 Dispositif de commande de climatisation, système et procédé de climatisation ainsi que programme

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003207189A (ja) * 2002-01-18 2003-07-25 Foundation For The Promotion Of Industrial Science 室内温熱環境設計システム及びその方法
JP2021063611A (ja) * 2019-10-11 2021-04-22 株式会社富士通ゼネラル 空気調和システム
WO2021130960A1 (fr) * 2019-12-26 2021-07-01 三菱電機株式会社 Dispositif de commande de climatisation, système et procédé de climatisation ainsi que programme

Also Published As

Publication number Publication date
JPWO2023149259A1 (fr) 2023-08-10

Similar Documents

Publication Publication Date Title
JP7055218B2 (ja) 空気調和機、空気調和機制御方法及びプログラム
Okochi et al. A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems
US8924026B2 (en) Energy-optimal control decisions for systems
WO2019235109A1 (fr) Dispositif, procédé et système de commande de climatisation
JP6004228B2 (ja) 空気調和機
Gao et al. An optimization strategy for the control of small capacity heat pump integrated air-conditioning system
KR102071960B1 (ko) 에어컨이 설치된 공간의 인공지능 학습에 기반하여 파라미터를 설정하는 제어장치
JP2021515177A (ja) 温度調節システム及び方法
JP6433588B2 (ja) 空調システム並びに空調システムの動作を制御するためのシステム及び方法
KR101905308B1 (ko) 실내 온열환경 평가지표값을 이용한 냉난방 제어 장치 및 그 방법
JP5404556B2 (ja) 空気調和機の制御装置および冷凍装置の制御装置
JP7006859B2 (ja) 空調制御装置、空調システム、空調制御方法、空調制御プログラム
JP6486547B2 (ja) 空気調和システム
US11580281B2 (en) System and method for designing heating, ventilating, and air-conditioning (HVAC) systems
WO2023149259A1 (fr) Dispositif de commande, système de climatisation, procédé de commande pour climatiseur, programme, modèle appris, et procédé de génération d'un modèle appris
JP7378497B2 (ja) モデル共有システム、モデル管理装置、および空気調和装置の制御装置
Gao et al. Space temperature control of a GSHP-integrated air-conditioning system
JP5016343B2 (ja) 空調制御システム
EP4235048A1 (fr) Dispositif de commande de climatisation
JP7345686B2 (ja) Ｈｖａｃ（暖房、換気、空調）システムの動作を制御するためのシステムおよび方法
JP7570538B2 (ja) 学習装置、空調制御システム、推論装置、空調制御装置、学習済みモデルの生成方法、学習済みモデル及びプログラム
JPWO2020183631A1 (ja) 情報処理装置、空気調和装置および空気調和システム
Wani et al. Intelligent Controller for Thermal Comfort Management in Buildings
JP7485970B2 (ja) 熱負荷予測システム
WO2024057483A1 (fr) Dispositif de commande de climatisation et système de commande de climatisation

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23749575

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2023578483

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE