JP2017026196A - Air conditioning control device, air conditioning control method and air conditioning control program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an air conditioning control device, an air conditioning control method and an air conditioning control program which attain user's comfort with respect to costs.SOLUTION: An air condition control device includes an environmental information acquisition part, a target information acquisition part and a control quantity determination part. The environmental information acquisition part acquires environmental information on a space where an air conditioner as an object to be controlled, is set. The information acquisition part acquires an upper limit value and a lower limit value of an indicator of comfort different from those of temperature and moisture. The control quantity given to the air conditioner on the basis of the environmental information acquired by the environmental information acquisition part and the upper limit value and the lower limit value acquired by the information acquisition part.SELECTED DRAWING: Figure 3

Description

  Embodiments described herein relate generally to an air conditioning control device, an air conditioning control method, and an air conditioning control program.

  2. Description of the Related Art Conventionally, there is an air conditioning control device that controls a space to be controlled by controlling an air conditioner using a comfort priority mode that gives priority to comfort or an economy priority mode that gives priority to economy. In the air conditioning control device, for example, at the time of cooling, the upper limit temperature of the economy priority mode is set higher than the upper limit temperature of the comfort priority mode. However, in the conventional apparatus, there is a case where the cost comfort is not sufficiently realized.

Japanese Patent No. 5504372

  The problem to be solved by the present invention is to provide an air-conditioning control device, an air-conditioning control method, and an air-conditioning control program that can realize cost comfort.

  The air conditioning control device of the embodiment includes an environment information acquisition unit, a target information acquisition unit, and a control amount determination unit. The environmental information acquisition unit acquires environmental information related to the space in which the air conditioner to be controlled is installed. The information acquisition unit acquires an upper limit value and a lower limit value of a comfort index different from temperature and humidity. The control amount determination unit determines a control amount to be given to the air conditioner based on the environment information acquired by the environment information acquisition unit and the upper limit value and the lower limit value acquired by the information acquisition unit.

The figure for demonstrating the air-conditioning control system. The figure which shows the structure of the apparatus sensor group 20. FIG. The block diagram which shows the function structure of the air-conditioning control apparatus 60. FIG. The figure which shows an example of the PMV table 65. FIG. The figure which shows an example of the interface image IM which the user input / output part 62 displays on the output device 52 based on the PMV table 65. The figure which shows an example of the calculation map 69. The flowchart which shows the flow of the process performed by the air-conditioning control apparatus 60. The figure which shows an example of the parameter map 69-1. The figure which shows an example of PMV calculated by the condition calculation part 66 at the time of air_conditionaing | cooling operation. The figure which shows an example of PMV calculated by the condition calculation part 66 at the time of heating operation. The figure which shows the structure of 20 A of apparatus sensor groups of 4th Embodiment. The figure which shows control target line TL5 of PMV calculated by the condition calculation part 66 of 4th Embodiment. The figure which shows control target line TL6 of PMV calculated by the condition calculation part 66 of 5th Embodiment. The conceptual diagram of a control schedule table.

  Hereinafter, an air conditioning control system including an air conditioning control device, an air conditioning control method, and an air conditioning control program according to embodiments will be described with reference to the drawings.

(First embodiment)
FIG. 1 is a diagram for explaining the air conditioning control system 1. The air conditioning control system 1 includes, for example, controllers 10-1 to 10-n, device sensor groups 20-1 to 20-n, an input device 50, an output device 52, and an air conditioning control device 60. Hereinafter, when the controllers 10-1 to 10-n are not distinguished, they are referred to as the controller 10. Hereinafter, the device sensor groups 20-1 to 20-n are referred to as device sensor groups 20 when they are not distinguished. Communication between the controller 10 and the air conditioning control device 60 and between the air conditioning control device 60 and the input device 50 or the output device 52 is performed via a dedicated line. Further, communication via the network may be performed between the controller 10 and the air conditioning control device 60 and between the air conditioning control device 60 and the input device 50 or the output device 52. The network includes, for example, a WAN (Wide Area Network), a VPN (Virtual Private Network), a LAN (Local Area Network), and the like.

  The controller 10 is a control device including a processor such as a CPU (Central Processing Unit). The controller 10 acquires the control target value calculated by the air conditioning control device 60, and controls the device sensor group 20 based on the acquired control target value. The control target value is, for example, a room temperature set value for an air conditioner and a supply air temperature set value for an external air conditioner.

  The input device 50 accepts an operator's operation and outputs a signal corresponding to the accepted operation to the air conditioning control device 60. The input device 50 may include dedicated keys, dial switches, a mouse, a touch pad, a keyboard, and the like. The output device 52 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electroluminescence) display device. The output device 52 displays an image indicating the control state of the device sensor group 20, an image including an icon for assisting the operation of the operator, and the like.

  FIG. 2 is a diagram illustrating the configuration of the device sensor group 20. The device sensor group 20 includes, for example, a device group controller 22, an air conditioner 30A, an air conditioner 30B, a heat source device 40A, a heat source device 40B, a temperature sensor 42, a humidity sensor 44, and a wattmeter 46. Hereinafter, when the air conditioning device 30A and the air conditioning device 30B are not distinguished from each other, the air conditioning device 30 is referred to as the air conditioning device 30. When the heat source device 40A and the heat source device 40B are not distinguished from each other, they are referred to as the heat source device 40. The device group controller 22, the air conditioning device 30, the heat source device 40, the temperature sensor 42, the humidity sensor 44, and the wattmeter 46 communicate with each other via, for example, a dedicated line.

  The device group controller 22 is a control device including a processor such as a CPU (Central Processing Unit). The device group controller 22 acquires the control target value of the device sensor group 20 from the controller 10 and controls each device or each sensor of the device sensor group 20 such as the air conditioner 30 based on the acquired control target value. The device group controller 22 acquires information output from each unit of the device sensor group 20 and outputs the acquired information to the controller 10 and the air conditioner control device 60.

  The air conditioner 30A includes an external air conditioner 32A and an air conditioner 34A. The air conditioner 30B includes an external air conditioner 32B and an air conditioner 34B. Hereinafter, the external air conditioner 32A and the external air conditioner 32B are referred to as the external air conditioner 32 when not distinguished from each other, and the air conditioner 34A and the air conditioner 34B are referred to as air conditioners 34 when not distinguished from each other. The external air conditioner 32 takes in outside air, adjusts the temperature of the taken-in outside air, and supplies the outside air whose temperature has been adjusted to a space (target zone) to be controlled. The external air conditioner 32 calculates the outside air introduction rate of the outside air taken into the target zone, and outputs the calculation result to the device group controller 22. The air conditioner 34 adjusts the temperature of the target zone to a predetermined temperature or the humidity to a predetermined humidity by exchanging heat between the air and the outside air of the target zone.

  The heat source device 40 is a device used to generate hot air or cold air that the air conditioner 30 blows to the target zone. The heat source device 40, for example, exchanges heat between the water in the pipe connected to the apparatus itself and the heat of the outside air via a refrigerant to cool the water in the pipe. The heat source device 40 detects, for example, the temperature of water in the pipe cooled by heat exchange (heat source cold water temperature) and outputs the detected temperature to the device group controller 22.

  The temperature sensor 42 detects the temperature of the outside air and outputs the detected temperature of the outside air to the device group controller 22. The humidity sensor 44 detects the humidity of the outside air and outputs the detected humidity of the outside air to the device group controller 22. The wattmeter 46 calculates the amount of power consumed by the device provided in the target zone, and outputs the calculated amount of power to the device group controller 22. The storage area of the device group controller 22 may store a preset power consumption pattern. In this case, the device group sensor group 20 may omit the wattmeter 46.

  FIG. 3 is a block diagram showing a functional configuration of the air conditioning control device 60. The air conditioning control device 60 includes a user input / output unit 62, a calculation setting storage unit 64, a condition calculation unit 66, a calculation logic storage unit 68, an optimum calculation unit 70, a control input / output storage unit 72, and a control input / output. Part 74. Among these function units, the condition calculation unit 66 and the optimum calculation unit 70 are software function units that function when a processor such as a CPU provided in the air conditioning control device 60 executes a program stored in a program memory. The condition calculation unit 66 and the optimum calculation unit 70 may be hardware function units such as an LSI (Large Scale Integration) and an ASIC (Application Specific Integrated Circuit). The calculation setting storage unit 64, the calculation logic storage unit 68, and the control input / output storage unit 72 include a RAM (Random Access Memory), a HDD (Hard Disk Drive), a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only). It is realized by a readable or writable volatile or non-volatile storage device such as “Memory”.

  The user input / output unit 62 is a communication interface for communicating with the input device 50 and the output device 52. The user input / output unit 62 acquires a signal input to the input device 50 and stores information corresponding to the acquired signal in the calculation setting storage unit 64. The user input / output unit 62 acquires, for example, a PMV (Predicted Mean Vote), which will be described later, which is input to the input device 50 by a user, a PMV correction value, and the like, and the acquired target PMV, a correction value of the target PMV, and the like. Is stored in the calculation setting storage unit 64. Further, the user input / output unit 62 outputs information stored in the calculation setting storage unit 64 or the control input / output unit 72 to the output device 52 in accordance with the signal output from the input device 50.

  The calculation setting storage unit 64 stores a PMV table 65. The PMV table 65 is a table in which PMVs and PMV correction values are associated with each other. PMV is an index of thermal sensation felt by humans. When PMV increases, humans tend to feel hot, and when PMV decreases (minus), humans tend to feel cold. Also, when PMV is zero, humans feel comfortable or not hot or cold. Note that the range of comfortable human PMV is from minus 0.5 to plus 0.5.

  FIG. 4 is a diagram illustrating an example of the PMV table 65. The PMV table 65 calculates the PMV using the identification number of each record, the control start time, the control end time, the PMV energy saving correction amount, the calculation cycle that is a cycle for calculating the target control amount, and the PMV energy saving correction amount. A correction time, a target PMV range that is a target PMV range, and the like are stored in association with each other. The PMV energy saving correction amount is a correction amount for correcting the target PMV. When the air conditioner 34 is controlled using the corrected PMV in which the PMV energy saving correction amount is added to the target PMV range, the power consumed by the air conditioner 34 is less than when the air conditioner 34 is controlled using the target PMV. Become. In the target PMV range of FIG. 4, a negative value (minus 0.5) PMV is a value adopted during heating, and a positive value (plus 0.5) PMV is a value adopted during heating. It is. In the PMV table 65, a target PMV or a corrected PMV may be set in advance.

  The PMV table 65 is stored in the calculation setting storage unit 64 based on, for example, information input by the input device 50. Further, the PMV table 65 is stored in the calculation setting storage unit 64 in association with each target zone or each air conditioner.

  FIG. 5 is a diagram illustrating an example of an interface image IM that the user input / output unit 62 displays on the output device 52 based on the PMV table 65. In the interface image IM, as shown in the area A1, the identification number of each record, the control start time, the control end time, and the PMV energy saving correction amount are displayed in association with each other. In the area A2, an image for changing the setting of each item described above is displayed. The image in the area A2 corresponds to a record selected by an operation input to the user input device 50. In the area A2, for example, a start time that is a time to start control of the air conditioner 34 and an end time that is a time to end the control of the air conditioner 34 are displayed. Further, the control PMV energy saving correction amount, the control period corresponding to the selected record, and the correction time corresponding to the selected record are displayed in association with each other. The value of each item displayed in the area A2 is changed by an operation input of the user input device 50. For example, in the case of cooling operation, if the user changes the PMV energy saving correction amount to a value larger than the set value or the user changes the correction time to a time longer than the set value, the air conditioner 34 consumes. The electric power to do is suppressed more.

  In the area A3, the control target PMV is displayed as a virtual control line in a line graph. In the figure, a control target line TL1 is a control target line in the cooling operation. The control target line TL1 is a virtual control line in which the target PMV (lower limit value) and the corrected PMV (upper limit value) appear. In the figure, a control target line TL2 is a control target line in the case of heating operation. The control target line TL2 is a virtual control line in which the target PMV (upper limit value) and the corrected PMV (lower limit value) appear. The vertical axis of the line graph is PMV, and the horizontal axis indicates time. In the example shown in the region A3, the target PMV range is set from 0.5 to minus 0.5, and the cycle for calculating the control target value for approaching the target PMV is every 10 minutes. Is set.

  The air-conditioning control device 60 of the present embodiment controls the air-conditioning equipment 30 so as to alternately change the indoor PMV between the comfort mode and the energy-saving mode while keeping the comfort felt by humans in the target zone constant. For example, in the case of cooling operation, as indicated by the control target line TL1, the comfort mode in which the PMV is controlled by the target PMV and the energy saving mode in which the target PMV is increased by the correction value are alternately repeated. In this case, when stepping down from the PMV increased by the correction value to the target PMV, the cooling sensation overshoots and the human feels more comfortable than the actual PMV. For example, in the case of heating operation, as shown by the control target line TL2, the comfort mode in which the PMV is controlled by the target PMV and the energy saving mode in which the target PMV is decreased by the correction value are alternately repeated. In this case, when returning from the PMV reduced by the correction value to the target PMV, the thermal sensation overshoots and the human feels more comfortable than the actual PMV. Thus, the air-conditioning control device 60 can realize control of the air-conditioning equipment 30 in which energy consumption is suppressed and comfort is harmonized by alternately repeating the comfort mode and the energy-saving mode.

  The condition calculation unit 66 refers to the PMV table 65 stored in the calculation setting storage unit 64 and calculates the PMV for each time. The condition calculation unit 66 acquires, for example, the target PMV for the time to be controlled from the PMV table 65, and outputs the acquired PMV to the optimum calculation unit 70. When the PMV energy saving correction amount is set for the time to be controlled, the condition calculation unit 66 acquires the target PMV and the PMV energy saving correction amount for the time to be controlled from the PMV table 65, for example, and acquires the acquired target. The PMV energy saving correction amount is added to the PMV and output to the optimum calculation unit 70. Note that, when the target PMV range is set in the calculation setting storage unit 64, the condition calculation unit 66 may set the maximum value of the target PMV range as the target PMV.

  The calculation logic storage unit 68 and the optimum calculation unit 70 of the first embodiment are functional configurations when the air conditioning control system 1 performs a cooling operation. The calculation logic storage unit 68 stores a calculation map 69 used by the optimal calculation unit 70 to calculate a control target value to be given to the air conditioner 30. FIG. 6 is a diagram illustrating an example of the calculation map 69. The calculation map 69 is an example corresponding to the target PMV “3”. The calculation map 69 stores control target values for input data for each of a plurality of target PMVs in advance. The input data is environmental information related to the space in which the air conditioner 30 to be controlled is installed, and the outside air introduction rate calculated by the external air conditioner 32, the outside air temperature detected by the temperature sensor 42, and the humidity sensor 44. The detected humidity, the amount of power calculated by the wattmeter 46, and the heat source cold water temperature detected by the heat source device 40. Further, the control target value is a room temperature set value set in the air conditioner 34 and a supply air temperature set value set in the external air conditioner 32.

  The optimum calculation unit 70 refers to the calculation map 69, and calculates the room temperature set value and the supply air temperature set value based on the input data acquired from the control input / output storage unit 72 and the PMV calculated by the condition calculation unit 66. calculate. Optimal calculation unit 70 stores the calculated indoor temperature set value and supply air temperature set value in control input / output storage unit 72.

  The control input / output storage unit 72 stores the room temperature set value and the supply air temperature set value calculated by the optimum calculation unit 70 in association with the time. The control input / output storage unit 72 stores the input data output from the control input / output unit 74.

  The control input / output unit 74 acquires the input data output from the controller 10 and stores the acquired input data in the control input / output storage unit 72. The control input / output unit 74 outputs the room temperature set value and the supply air temperature set value stored in the control input / output storage unit 72 to the controller 10. The control input / output unit 74 may output the indoor temperature set value and the supply air temperature set value when the optimum calculating unit 70 calculates (real time processing), or may perform batch processing.

  FIG. 7 is a flowchart showing the flow of processing executed by the air conditioning control device 60. First, the condition calculation unit 66 determines whether or not the calculation start time has elapsed (step S100). The condition calculation unit 66 acquires the calculation cycle set in the PMV table 65 and determines whether or not the time corresponding to the acquired calculation cycle has elapsed. Next, the condition calculation unit 66 determines whether there is an air conditioner 30 whose control target value has not been calculated yet (step S102). When there is no air conditioning device 30 whose control target value has not been determined yet, the condition calculation unit 66 waits for a predetermined time and returns to the process of step S100 (step S114).

  When there is an air conditioner 30 whose control target value has not been calculated yet, the condition calculation unit 66 selects the target air conditioner 30 (step S104). Next, the condition calculation unit 66 acquires input data corresponding to the air conditioning device 30 stored in the operation mode (cooling operation or heating operation) of the selected air conditioning device 30 and the control input / output storage unit 72 (step S106). . Next, the condition calculation unit 66 calculates PMV, which is a condition applied to the calculation (step S108).

  Next, the optimal calculation unit 70 calculates a control target value based on the input data acquired in step S106 and the PMV calculated in step S108 (step S110). Next, the optimum calculation unit 70 outputs the control target value calculated in step S110 to the controller 10 (step S112). Thereby, the process of this flowchart is complete | finished.

  As described above, the optimum calculation unit 70 calculates the target control amount by alternately using the target PMV and the correction PMV that are the two pieces of target information calculated by the condition calculation unit 66, and uses the calculated target control amount as the air conditioning equipment. In the case of outputting to 30, the optimum calculation unit 70 calculates the target control amount using only the target PMV, and suppresses energy consumption and cost compared to the case where the calculated target control amount is output to the air conditioner 30. be able to. Further, when the optimal calculation unit 70 calculates the target control amount by alternately using the target PMV and the correction PMV calculated by the condition calculation unit 66 and outputs the calculated target control amount to the air conditioning device 30, the optimal calculation is performed. Compared with the case where the unit 70 calculates the target control amount using only the corrected PMV and outputs the calculated target control amount to the air conditioner 30, the comfort can be improved.

  According to the air conditioning control device 60 of the first embodiment described above, the condition calculation unit 66 refers to the PMV table 65 and calculates the PMV used for calculating the control target value. In addition, the optimal calculation unit 70 calculates the control target value based on the input data and the PMV calculated by the condition calculation unit 66, so that the comfort of the air conditioner 30 can be realized. Control can be performed.

(Second Embodiment)
Hereinafter, the second embodiment will be described. The second embodiment is control when the air conditioner 30 performs a heating operation. In this case, the method by which the optimum calculation unit 70 calculates the control target value is different from that in the first embodiment. Hereinafter, this difference will be mainly described.

  In addition to the PMV table 65, the calculation setting storage unit 64 further stores the amount of clothing and activity of humans existing in the target zone. The amount of clothes and the amount of activity are stored in the calculation setting storage unit 64 when the user inputs an operation to the input device 50.

  The condition calculation unit 66 refers to the PMV table 65 stored in the calculation setting storage unit 64 and calculates the PMV for each time. The condition calculation unit 66 acquires, for example, the target PMV for the time to be controlled from the PMV table 65, and outputs the acquired PMV to the optimum calculation unit 70. The condition calculation unit 66 acquires the amount of human clothing and activity existing in the target zone stored in the calculation setting storage unit 64, and the optimum calculation unit 70 calculates the amount of human clothing and activity present in the acquired target zone. Output to. Note that, when the target PMV range is set in the calculation setting storage unit 64, the condition calculation unit 66 may set the minimum value of the target PMV range as the target PMV.

  The calculation logic storage unit 68 stores a parameter map 69-1. The parameter map 69-1 is a map in which the values of the parameters a0 to a6 are associated with each combination of the clothing amount and the activity amount. FIG. 8 is a diagram illustrating an example of the parameter map 69-1. The amount of clothes is a person's clothes state, for example, 0 to 3 is set. A clothing amount of 0 indicates spring and autumn clothing, a clothing amount of 1 indicates summer clothing, a clothing amount of 2 indicates winter clothing, and a clothing amount of 3 indicates cool biz clothing. The activity amount is a human activity amount, and is set to 0 to 2, for example. An activity amount 0 indicates a sleeping state, an activity amount 1 indicates a state of office work, and an activity amount 2 indicates a walking state.

  The calculation logic storage unit 68 stores logic for calculating a room temperature set value that is a control target value (for example, equation (1) described later) and an average radiation temperature map. The average radiation temperature map is a map in which the average radiation temperature is associated with the outside air temperature and the room temperature of the target zone. The average radiation temperature in the average radiation temperature map is a normalized value.

The optimal calculation unit 70 calculates the indoor temperature set value, for example, using equation (1). In the formula, tri is the indoor temperature set value, and PMV is the target PMV. a0 to a6 are values acquired from the parameter map 69-1, and Trmt is a value acquired from the average radiation temperature map. Rur is a normalized value of the room humidity in the target zone. For example, when the room humidity is stored in the control input / output storage unit 72 by the control input / output unit 74, the room temperature of the target zone is stored as a normalized value. In addition, the optimum calculation unit 70 refers to the parameter map 69-1, and calculates a0 to a6 based on the amount of clothes and activity of the person existing in the target zone acquired from the condition calculation unit 66. The optimum calculation unit 70 refers to the average radiation temperature map, and calculates the average radiation temperature based on the indoor temperature acquired from the indoor temperature sensor (not shown) in the target zone and the outside air temperature acquired from the controller 10. Parameters a0 to a6, Trmt, and Rhur are environment information regarding the space in which the air conditioner 30 to be controlled is installed.

  The optimum calculation unit 70 outputs the calculated indoor temperature set value to the controller 10 based on, for example, the equation (1). Thus, the air conditioner 30 is controlled based on the indoor temperature set value corresponding to the target PMV output from the controller 10.

  According to the air conditioning control device 60 of the second embodiment described above, the condition calculation unit 66 refers to the PMV table 65 and calculates the PMV used for calculating the control target value. In addition, the optimal calculation unit 70 calculates the control target value based on the input data, the parameter calculated by the condition calculation unit 66, and the PMV, so that air-conditioning equipment that can achieve comfort for the cost. 30 controls can be performed.

(Third embodiment)
Hereinafter, a third embodiment will be described. In the first embodiment and the second embodiment, the air conditioner 30 is controlled so that the target PMV and the corrected PMV are stepped, but in the third embodiment, the air conditioning control device 60A has the target PMV. When changing from to the corrected PMV, the air conditioner 30 is controlled so that the PMV changes with a predetermined inclination. Hereinafter, this difference will be mainly described.

  The condition calculation unit 66 calculates a target PMV and a corrected PMV based on the PMV table 65. When the air conditioner 30 is controlled from the target PMV to the corrected PMV, the condition calculation unit 66 calculates the PMV in time series so that the PMV changes with a predetermined inclination.

  FIG. 9 is a diagram illustrating an example of the PMV calculated by the condition calculation unit 66 during the cooling operation. TL3 is a PMV control target line calculated by the condition calculation unit 66. The vertical axis represents PMV, and the horizontal axis represents time. During the cooling operation, the condition calculation unit 66 changes the PMV so that the PMV control target line TL3 has a predetermined inclination when the PMV is changed from the target PMV (g in the figure) to the corrected PMV (r in the figure). Is calculated. On the other hand, when changing the PMV from the corrected PMV (r in the figure) to the target PMV (g in the figure), the condition calculation unit 66 prevents the PMV control target line TL3 from having an inclination (parallel to the vertical axis). PMV is calculated. In this way, the gentle rise of the PMV suppresses the person from feeling the heat, and the sharp fall of the PMV makes the person more comfortable (cold) than the actual change in the PMV. Can make you feel.

  FIG. 10 is a diagram illustrating an example of the PMV calculated by the condition calculation unit 66 during the heating operation. TL4 is a PMV control target line calculated by the condition calculation unit 66. The vertical axis represents PMV, and the horizontal axis represents time. During the heating operation, the condition calculation unit 66, when changing the PMV from the target PMV (r1 in the figure) to the corrected PMV (g1 in the figure), the PMV so that the PMV control target line TL3 has a predetermined inclination. Is calculated. On the other hand, when changing the PMV from the corrected PMV (g1 in the figure) to the target PMV (r1 in the figure), the condition calculation unit 66 prevents the PMV control target line TL4 from having an inclination (parallel to the vertical axis). PMV is calculated. In this way, the gentle fall of PMV suppresses people from feeling cold, and the rise of PMV makes the rise sharper, making people feel more comfortable (warmth) than the actual change in PMV. Can be made.

  When the condition calculation unit 66 changes the target PMV to the corrected PMV, for example, as shown in FIG. 10, the PMV is calculated every predetermined time (for example, T1 to T3) at a predetermined time T0.

  According to the air conditioning control device 60 of the third embodiment described above, when the condition calculation unit 66 controls from the target PMV to the corrected PMV, the PMV is calculated so that the PMV changes with a predetermined inclination. Thus, the effects of the first embodiment and the second embodiment can be achieved, and the comfort can be further improved.

(Fourth embodiment)
Hereinafter, a fourth embodiment will be described. The air conditioning control system 1 of the fourth embodiment includes a human sensor 48, and the air conditioning control device 60 </ b> A controls the air conditioning equipment 30 using the corrected PMV based on the detection result detected by the human sensor 48. The point which changes time differs from 1st Embodiment. Hereinafter, this difference will be mainly described.

  FIG. 11 is a diagram illustrating a configuration of a device sensor group 20A according to the fourth embodiment. The device sensor group 20 </ b> A further includes a human sensor 48. The human sensor 48 is installed in the target zone. The human sensor 48 includes an imaging unit, for example, and detects a person existing in the target zone based on an image captured by the imaging unit. The human sensor 48 acquires the captured image in time series. The human sensor 48 extracts a difference between the acquired images and superimposes the extracted images to generate a difference image. The human sensor 48 accumulates the difference image, and extracts a feature amount representing a change with time series of the space corresponding to the imaging target based on the accumulated difference image. The human sensor 48 calculates the number of people in the room existing in the target zone based on the extracted feature amount and the identification model used for identifying the person. The human sensor 48 outputs the number of persons (for example, occupants) in the target zone (for example, indoors), which is the calculation result, to the device group controller 22.

  The condition calculation unit 66 calculates the time for controlling the air conditioner 30 using the corrected PMV based on the number of occupants detected by the human sensor 48 and the PMV table 65. FIG. 12 is a diagram illustrating a PMV control target line TL5 calculated by the condition calculation unit 66 according to the fourth embodiment. When the number of occupants detected by the human sensor 48 is less than the first number, the condition calculation unit 66 uses the corrected PMV to control the air conditioner 30 as indicated by P1 in the figure. A certain correction time is calculated longer than a preset correction time. When the number of occupants detected by the human sensor 48 is greater than or equal to the first number and less than or equal to the second number, the condition calculation unit 66 uses the corrected PMV as shown in P2 in the figure to perform air conditioning. The time for controlling the device 30 is calculated as a preset correction time. The second number is larger than the first number. In addition, when the number of occupants detected by the human sensor 48 is equal to or greater than the second number, the condition calculation unit 66 controls the air conditioner 30 using the corrected PMV as indicated by P3 in the figure. The calculation time is calculated to be shorter than a preset correction time.

  According to the air conditioning control device 60 of the fourth embodiment described above, the time for the condition calculation unit 66 to control the air conditioning equipment 30 using the corrected PMV is variable according to the number of people present in the target zone. As a result, the same effects as those of the first embodiment and the second embodiment can be obtained, and the economy and comfort can be improved.

(Fifth embodiment)
The fifth embodiment will be described below. The air conditioning control system 1 of the fifth embodiment includes a human sensor 48, and the air conditioning control device 60 </ b> A changes the value of the PMV energy saving correction amount based on the detection result detected by the human sensor 48. This is different from the fourth embodiment. Hereinafter, this difference will be mainly described.

  The condition calculation unit 66 calculates the value of the PMV energy saving correction amount based on the number of occupants detected by the human sensor 48 and the PMV table 65. FIG. 13 is a diagram illustrating a PMV control target line TL6 calculated by the condition calculation unit 66 according to the fifth embodiment. When the number of occupants detected by the human sensor 48 is smaller than the first number, the condition calculation unit 66 sets the PMV energy saving correction amount to a preset PMV energy saving correction amount as indicated by P4 in the figure. A value larger than the correction amount value (r in the figure) is calculated. When the number of occupants detected by the presence sensor 48 is equal to or greater than the first number and equal to or less than the second number, the condition calculation unit 66 sets the value of the PMV energy saving correction amount as indicated by P5 in the figure. Is calculated as a preset value. The second number is larger than the first number. When the number of occupants detected by the human sensor 48 is equal to or greater than the second number, the condition calculation unit 66 sets a value of the correction PMV as a preset value as indicated by P6 in the figure. Calculate as a smaller value.

  According to the air conditioning control device 60 of the fifth embodiment described above, the condition calculation unit 66 changes the value of the PMV energy saving correction amount according to the number of people present in the room that is the target zone. While producing the same effect as the first embodiment and the second embodiment, it is possible to improve economy and comfort.

(Sixth embodiment)
The sixth embodiment will be described below. The air conditioning control device 60B of the sixth embodiment determines whether to perform air conditioning control of the target zone based on PMV or to perform air conditioning control of the target zone based on temperature based on a preset schedule. Is different from the first embodiment. Hereinafter, this difference will be mainly described.

  The condition calculation unit 66 determines, based on the control schedule table stored in the calculation setting storage unit 64, whether to perform air conditioning control of the target zone based on PMV or to perform air conditioning control of the target zone based on temperature. . FIG. 14 is a conceptual diagram of the control schedule table. In the control schedule table, whether the air conditioning control based on the PMV or the air conditioning control based on the temperature is performed for each time zone is stored in association with each other. For example, in the control schedule table, there are many people coming and going to the target zones such as office hours (for example, 8:00 to 10:00), lunch breaks (12:00 to 13:00), and office hours (17:00 to 19:00). For the time zone, it is stored that air conditioning control is performed based on temperature.

  The condition calculation unit 66 refers to the control schedule table and determines whether to perform the air conditioning control of the air conditioning device 30 based on the PMV or based on the temperature set without using the PMV. The optimal calculation unit 70 calculates a control target value corresponding to the PMV calculated by the condition calculation unit 66 when the condition calculation unit 66 determines to perform air conditioning control using PMV, and calculates the calculated control target value. Is output to the controller 10.

  According to the air conditioning control device 60 of the sixth embodiment described above, the condition calculation unit 66 performs air conditioning control of the target zone based on PMV based on a preset schedule, or targets based on temperature. Since it is determined whether to perform the air conditioning control of the zone, the effects of the first embodiment can be obtained, and the economy and comfort can be further improved.

  In the present embodiment, the user input / output unit 62, the calculation setting storage unit 64, the condition calculation unit 66, the calculation logic storage unit 68, the optimum calculation unit 70, the control input / output storage unit 72, and the control input Although the output unit 74 has been described as functioning as the air conditioning control device 60, the above-described functional unit may be distributed among a plurality of devices. In this case, the function similar to the air-conditioning control apparatus 60 is implement | achieved by the several apparatus containing the above-mentioned function part functioning as one system. In addition, a plurality of devices including the above-described functional units may realize the same function as the air conditioning control device 60 by communicating via a communication network such as a network.

  According to at least one embodiment described above, the environmental information acquisition unit (70) that acquires environmental information related to the space in which the air conditioning equipment to be controlled is installed, and the upper limit of the comfort index different from temperature and humidity Based on the information acquisition unit (66) for acquiring the value and the lower limit value, the environmental information acquired by the environmental information acquisition unit, and the upper limit value and the lower limit value acquired by the information acquisition unit, By having the control amount determination unit (70) for determining the given control amount, it is possible to achieve comfort for the cost.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 ... Air conditioning control system, 20 ... Equipment sensor group, 30 ... Air conditioning equipment, 32 ... External air conditioner, 34 ... Air conditioner, 42 ... Temperature sensor, 44 ... Humidity sensor, 46 ... Wattmeter, 50 ... Input device, 52 ... Output device 60 ... Air conditioning control device 62 ... User input / output unit 64 ... Calculation setting storage unit 66 ... Condition calculation unit 68 ... Calculation logic storage unit 70 ... Optimal calculation unit 72 ... Control input / output storage unit 74 ... Control entry / exit section

Claims (10)

An environmental information acquisition unit that acquires environmental information about the space in which the air conditioning equipment to be controlled is installed;
An information acquisition unit for acquiring an upper limit value and a lower limit value of a comfort index different from temperature and humidity;
A control amount determination unit that determines a control amount to be given to the air conditioner based on the environment information acquired by the environment information acquisition unit, and the upper limit value and the lower limit value acquired by the information acquisition unit;
An air conditioning control device. The information acquisition unit acquires a correction value for the lower limit value, and acquires an upper limit value for the lower limit value based on the lower limit value and the correction value.
The air conditioning control device according to claim 1. The information acquisition unit acquires a correction value for the upper limit value, and acquires a lower limit value for the upper limit value based on the upper limit value and the correction value.
The air conditioning control device according to claim 1. The control amount determination unit determines a control amount to be given to an air conditioner based on a virtual control line in which the upper limit value and the lower limit value appear alternately every predetermined time.
The air conditioning control device according to any one of claims 1 to 3. When the air conditioner is controlled using the upper limit, less power is consumed to operate the air conditioner than when the air conditioner is controlled using the lower limit.
The air conditioning control device according to any one of claims 1 to 4. When the air conditioning equipment is controlled using the lower limit value, the power consumption required for the air conditioning equipment to operate is less than when the air conditioning equipment is controlled using the upper limit value.
The air conditioning control device according to any one of claims 1 to 4. The lower limit value and the correction value for the lower limit value, or the correction value for the upper limit value and the upper limit value are received by an operation input performed by a user, and the received correction value for the lower limit value and the lower limit value, or the upper limit value. And an input unit that stores a correction value for the upper limit value in a storage unit;
The air conditioning control device according to any one of claims 1 to 6, further comprising: The upper limit value stored in the storage unit and the corrected upper limit value corrected by the correction value for the upper limit value, or the corrected lower limit value corrected by the correction value for the lower limit value and the lower limit value are associated with time. An output part to be displayed on the display part in a graph; and
The air conditioning control device according to claim 7, further comprising: An environmental information acquisition step for acquiring environmental information regarding the space in which the air conditioner to be controlled is installed;
An information acquisition step for acquiring an upper limit value and a lower limit value of a comfort index different from temperature and humidity;
A control amount determination step for determining a control amount to be given to the air conditioner based on the environmental information acquired by the environmental information acquisition step, and the upper limit value and the lower limit value acquired by the information acquisition step;
An air conditioning control method comprising: On the computer,
An environmental information acquisition step for acquiring environmental information regarding the space in which the air conditioner to be controlled is installed;
An information acquisition step for acquiring an upper limit value and a lower limit value of a comfort index different from temperature and humidity;
A control amount determination step for determining a control amount to be given to the air conditioner based on the environmental information acquired by the environmental information acquisition step, and the upper limit value and the lower limit value acquired by the information acquisition step;
Air conditioning control program to execute.

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