WO2018051479A1 - Dispositif d'assistance, système de climatisation et procédé de dérivation - Google Patents

Dispositif d'assistance, système de climatisation et procédé de dérivation Download PDF

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Publication number
WO2018051479A1
WO2018051479A1 PCT/JP2016/077379 JP2016077379W WO2018051479A1 WO 2018051479 A1 WO2018051479 A1 WO 2018051479A1 JP 2016077379 W JP2016077379 W JP 2016077379W WO 2018051479 A1 WO2018051479 A1 WO 2018051479A1
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WIPO (PCT)
Prior art keywords
thermal image
image data
air conditioner
unit
air
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PCT/JP2016/077379
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English (en)
Japanese (ja)
Inventor
浩子 泉原
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三菱電機株式会社
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Priority to JP2018539467A priority Critical patent/JP6755322B2/ja
Priority to PCT/JP2016/077379 priority patent/WO2018051479A1/fr
Publication of WO2018051479A1 publication Critical patent/WO2018051479A1/fr

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/65—Electronic processing for selecting an operating mode
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077—Imaging

Definitions

  • the present invention relates to a support device, an air conditioning system, and a derivation method.
  • air conditioning systems air conditioning systems
  • buildings such as buildings.
  • air conditioning system for example, a plurality of air conditioners (indoor units) are embedded in the ceiling of each floor, and it becomes possible to control the air conditioners in units of floors or in the entire building in a coordinated manner. Yes.
  • Such cooperative control is performed using location information indicating the relative positional relationship of each air conditioner. For example, when cooperative control of air conditioners is performed in units of floors, not only information for identifying all air conditioners installed in the floor, but also the positional relationship between the air conditioners in the floor. Information that indicates whether or not Therefore, location information including these pieces of information is created by an operator when the air conditioning system is introduced (at the time of construction), for example. The location information is also used when, for example, displaying a floor map for an administrator (for example, a floor map indicating the layout of each air conditioner and the operating status of each air conditioner).
  • Such location information is created, for example, by manually inputting the arrangement of each air conditioner based on a floor plan. For this reason, the work of creating location information is very time-consuming, and input errors may occur. In addition, in an old building, there is a case where a plan view does not remain, which increases the work load.
  • Patent Documents 1 and 2 disclose a technique for determining an installation position of an air conditioner installed in a room.
  • JP 2010-014350 A Japanese Patent Laying-Open No. 2015-001313
  • Patent Documents 1 and 2 in the first place, for a wall-mounted air conditioner used in a general home, only the installation position based on a structure such as a wall or a floor is determined. Therefore, the techniques of Patent Documents 1 and 2 are not very useful in an air conditioning system in which a plurality of air conditioners are installed in the same space. That is, the techniques of Patent Documents 1 and 2 determine the installation position of a single air conditioner, and cannot determine the relative positional relationship of each air conditioner. On the floor of a certain size or more, some air conditioners are installed away from the wall (that is, installed near the center of the floor ceiling). An air conditioner installed away from these walls cannot determine the installation position even using the techniques of Patent Documents 1 and 2.
  • the present invention has been made to solve the above-described problems, and provides a support device, an air conditioning system, and a derivation method that can appropriately derive the relative positional relationship between a plurality of air conditioners.
  • the purpose is to do.
  • the support device provides: First thermal image data detected by the first air conditioner and second thermal image data detected by the second air conditioner from the first air conditioner and the second air conditioner installed in the same space.
  • a data collection unit that collects
  • a derivation unit that derives a relative positional relationship between the first and second air conditioners based on the common feature points included in the first and second thermal image data; Is provided.
  • a plurality of thermal image data that is, first and second thermal image data
  • a plurality of air conditioners that is, the first and second air conditioners
  • a plurality of thermal image data are collected.
  • the relative positional relationship of each air conditioner is derived based on the common feature points included in the thermal image data. As a result, it is possible to appropriately derive the relative positional relationship between the air conditioners without manual intervention.
  • the schematic diagram which shows an example of the whole structure of the air conditioning system which concerns on embodiment of this invention Schematic diagram for explaining the scanning range of the thermal image sensor of the air conditioner Schematic diagram for explaining that the scanning ranges of the thermal image sensors partially overlap in adjacent air conditioners
  • Schematic diagram showing an example of thermal image data Schematic diagram showing an example of other thermal image data
  • Schematic diagram for explaining the connection between two thermal image data The flowchart for demonstrating the derivation
  • air conditioner air conditioner
  • air conditioner is a term that generally indicates both “outdoor unit” and “indoor unit”, but in order to correspond to the description in the claims of the present invention, The “indoor unit” will be described as “air conditioner”.
  • FIG. 1 is a schematic diagram showing an example of the overall configuration of an air conditioning system 1 according to an embodiment of the present invention.
  • the support device 10 the outdoor unit 20 (20 a, 20 b), and the air conditioner 30 (30 a to 30 d) are communicably connected via an air conditioning communication network 90.
  • FIG. 1 shows a case where the number of outdoor units 20 is two and the number of air conditioners 30 is four.
  • the number of outdoor units 20 and air conditioners 30 is that of introducing the air conditioning system 1. It can be appropriately changed according to the number of floors and floor area in the building BL.
  • the support device 10 appropriately controls the outdoor unit 20 and the air conditioner 30 via the air conditioning communication network 90, and derives a relative positional relationship among the air conditioners 30 installed in the building BL (in the floor). . Details of the support device 10 will be described later.
  • the outdoor unit 20 (20a, 20b) has, for example, a compressor and a heat source side heat exchanger, and is connected to the air conditioner 30 (30a to 30d) by piping. And the outdoor unit 20 circulates a refrigerant
  • the outdoor unit 20 is installed outdoors (as an example, on the roof) of the building BL.
  • the outdoor unit 20 includes a control unit and a communication unit, and transmits / receives control information necessary for air conditioning to / from the air conditioner 30, for example.
  • the air conditioner 30 (30a to 30d) is a so-called indoor unit, which has, for example, an expansion valve and a load side heat exchanger, and is connected to the outdoor unit 20 (20a, 20b) by piping. And the air conditioner 30 performs the air conditioning of object space by evaporating or condensing the refrigerant
  • the air conditioner 30 is embedded in a ceiling of a floor in a building BL. In the following description, it is assumed that a plurality of air conditioners 30 are installed on the same floor (same space).
  • the air conditioner 30 includes a control unit and a communication unit, and transmits, for example, thermal image data described below to the support device 10.
  • the air conditioner 30 further includes a thermal image sensor 31 (31a to 31d).
  • a thermal image sensor 31 for example, arranged infrared light receiving elements (eight infrared light receiving elements as an example) are movably supported by a movable (rotating) mechanism, and a thermal image in a predetermined scanning range is obtained. Detect data.
  • the thermal image sensor 31 is controlled by the control unit of the air conditioner 30, and scans the scanning range A from the upper side (ceiling) to the lower side (floor) as shown in FIG. Is detected.
  • each thermal image sensor 31 in the adjacent air conditioner 30 is installed so that the mutual scanning range partially overlaps.
  • the scanning range A1 of one thermal image sensor 31 and the scanning range A2 of the other thermal image sensor 31 are in a region indicated by hatching.
  • FIG. 2B shows a case where the air conditioners 30 are adjacent to each other in the horizontal direction (X direction) and the scanning ranges A1 and A2 partially overlap in the horizontal direction.
  • the vertical direction Y direction
  • the thermal image sensor 31 can detect thermal image data that captures such a heat source as a feature point.
  • the thermal image data is gradation image data representing temperature.
  • the gradation here is acquired in 256 steps (0 to 255), and the numerical value increases as the temperature increases.
  • the thermal image sensor 31 can detect thermal image data in which cold air or warm air blown from the air conditioner 30 is captured as a feature point. it can.
  • all the thermal image sensors 31 detect thermal image data at the same time (simultaneous period). For example, when detection of thermal image data is instructed from the support device 10 to any one of the air conditioners 30 (or the outdoor unit 20 that supervises), the timing adjustment is performed in each air conditioner 30. All the thermal image sensors 31 detect thermal image data at the same time.
  • the thermal image sensor 31 detects thermal image data, for example, if a person moves within the scanning range, the feature point (heat source) captured by the thermal image data also varies. Therefore, at the time of detection, the thermal image sensor 31 continuously detects thermal image data over a plurality of times (as an example, three times every 10 seconds) at a predetermined time interval. The time interval and the number of times can be appropriately changed according to the communication speed and the response speed of the thermal image sensor 31.
  • all the thermal image sensors 31 start detection at the same time and detect a certain number (a plurality) of thermal image data in time series.
  • FIG. 3 is a block diagram showing an example of the configuration of the support apparatus 10 according to the embodiment of the present invention.
  • the support apparatus 10 includes a communication unit 11, a data storage unit 12, and an arithmetic processing unit 13.
  • the communication unit 11 is a communication interface that can communicate with the outdoor unit 20 and the air conditioner 30 through the air conditioning communication network 90, for example.
  • the communication unit 11 is controlled by the arithmetic processing unit 13 and receives, for example, the above-described thermal image data from the air conditioner 30.
  • the data storage unit 12 plays a role as a so-called secondary storage device (auxiliary storage device), and is composed of a readable / writable nonvolatile semiconductor memory such as a flash memory, for example.
  • the data storage unit 12 stores, for example, thermal image data received from the air conditioner 30 by the communication unit 11.
  • the data storage unit 12 stores a program executed by the arithmetic processing unit 13.
  • the arithmetic processing unit 13 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and controls the entire support apparatus 10.
  • the arithmetic processing unit 13 functionally includes a data collection unit 131, a data evaluation unit 132, a derivation unit 133, a command unit 134, and a generation unit 135. These functions are realized by the CPU appropriately executing various programs stored in the ROM or the data storage unit 12 using the RAM as a work memory.
  • the data collection unit 131 controls the communication unit 11 to collect the above-described thermal image data from the air conditioner 30. For example, the data collection unit 131 instructs one of the air conditioners 30 to detect thermal image data. Then, as described above, timing adjustment is performed in all the air conditioners 30, and thermal image data at the same time is detected by each thermal image sensor 31. At that time, each thermal image sensor 31 detects a certain number (a plurality) of thermal image data in time series. Therefore, the data collection unit 131 collects a plurality of (time-series) thermal image data from all the air conditioners 30.
  • the data evaluation unit 132 evaluates the thermal image data collected by the data collection unit 131. For example, the data evaluation unit 132 compares the collected time-series thermal image data in units of the air conditioner 30 and deletes the thermal image data if there is thermal image data in which the position of the feature point varies. For example, the data evaluation unit 132 compares time-series thermal image data for each pixel, and generates thermal image data using data having the smallest gradation value (low temperature) among them. In other words, in the time-series thermal image data, when the reflected heat source is moving (if there is a variation in feature points), by adopting the lowest temperature data in the same pixel between the thermal image data, The temperature of the background before and after the heat source is reflected can be acquired.
  • the same pixel between the thermal image data has almost the same value, so the data with the lowest temperature is used. By adopting it, it is possible to hold the value as it is.
  • the data evaluation unit 132 deletes the thermal image data. Therefore, only the thermal image data in which the heat source does not move (still state) remains.
  • the deriving unit 133 Based on the thermal image data collected from each air conditioner 30 (more specifically, the thermal image data after evaluation by the data evaluation unit 132), the deriving unit 133 performs relative processing of each air conditioner 30 as follows. The positional relationship is derived.
  • thermal image data T1 as shown in FIG. 4A is collected from the air conditioner 30a and the thermal image data T2 as shown in FIG. 4B is collected from the air conditioner 30b will be described as an example. To do. It is assumed that the thermal image data T1 and the thermal image data T2 include a feature point H indicating a heat source. Note that the feature point H has the same temperature distribution (a distribution whose values approximate) from the thermal image data T1 and T2, and usually has a certain range (width).
  • the deriving unit 133 determines whether or not the feature points H are matched (positions and shapes are matched) in the thermal image data T1 and the thermal image data T2, while corresponding sides (one side) partially overlap each other. judge. That is, a) the right side of the thermal image data T1 and the left side of the thermal image data T2 partially overlap, and b) the upper side of the thermal image data T1 and the lower side of the thermal image data T2 partially overlap. State c) State in which the left side of the thermal image data T1 and the right side of the thermal image data T2 partially overlap, d) Part of the lower side of the thermal image data T1 and upper side of the thermal image data T2 Whether or not the feature point H matches in the state is determined. If matching is determined during determination for all sides, the matching determination may be completed without performing determination for the remaining sides.
  • the deriving unit 133 derives that the air conditioner 30b and the air conditioner 30a are installed adjacent to each other in the horizontal direction (X direction). In more detail, the deriving unit 133 derives the relative positional relationship between the air conditioner 30b and the air conditioner 30a in consideration of information such as the angle of view of the thermal image sensor 31 and the estimated ceiling height. .
  • the deriving unit 133 tries matching for other thermal image data in the same manner, and finally derives a relative positional relationship for all the air conditioners 30. In this case, it is assumed that all the air conditioners 30 are installed on the same floor.
  • the derivation unit 133 cannot derive the positional relationship between the air conditioners 30 unless the feature points (feature points common to other thermal image data) are included in the thermal image data.
  • the deriving unit 133 cannot derive the positional relationship between the air conditioners 30. Therefore, as described below, the command unit 134 restarts the collection of thermal image data in a state where the feature points can be detected by operating the air conditioner 30.
  • the command unit 134 commands the air conditioner 30 to perform a cooling operation or a heating operation. That is, when the above-described deriving unit 133 cannot derive the relative positional relationship between the air conditioners 30, the command unit 134 operates, for example, at least one of the air conditioners 30. Specifically, the command unit 134 selects the air conditioners 30 at random so that 30% of the air conditioners 30 are targeted, and operates the air conditioners 30. When operating the air conditioner 30, the command unit 134 may switch and command the cooling operation and the heating operation according to the room temperature, for example.
  • the command unit 134 commands cooling operation in the summer (when the room temperature is high) and in the winter (room temperature If the temperature is low), command heating operation.
  • the command unit 134 selects at least one of the air conditioners 30 that could not be derived.
  • One air conditioner 30 may be operated.
  • the command unit 134 may select the air conditioners 30 at random so that 30% of the air conditioners 30 that cannot be derived are targeted, and operate those air conditioners 30. .
  • the generating unit 135 generates location information in accordance with the relative positional relationship of the air conditioners 30 derived by the deriving unit 133 described above.
  • the generation unit 135 includes information for identifying all the air conditioners 30 installed in the floor, and information indicating what positional relationship each air conditioner 30 is in the floor. Generate location information.
  • the generation unit 135 generates a layout image in which a figure (as an example, a symbol) indicating each air conditioner 30 is arranged in the floor plan data. Note that when there is no floor plan data in the old building BL, the generation unit 135 may automatically generate the plan view data based on the thermal image data collected from the air conditioner 30. For example, the generation unit 135 identifies the structure including the wall from the thermal image data collected by the data collection unit 131 in a state where all the air conditioners 30 are operated by the command unit 134, thereby generating a rough floor shape. Is generated. Specifically, on the floor, the boundary position between the floor surface and the wall surface can be detected in the thermal image data due to the difference in material between the floor surface and the wall surface.
  • generation part 135 produces
  • the generation unit 135 may correct the rough floor shape by utilizing that the wall surface is generally a plane or a right angle.
  • the generation unit 135 determines the plane from the thermal image data collected by operating only the specified air conditioner 30. Graphic data may be generated.
  • FIG. 5 is a flowchart showing an example of the derivation process according to the embodiment of the present invention.
  • the support device 10 collects thermal image data from each air conditioner 30 (step S101). That is, the data collection unit 131 instructs one of the air conditioners 30 to detect thermal image data. Then, as described above, timing adjustment is performed in all the air conditioners 30, and thermal image data at the same time is detected by each thermal image sensor 31. At that time, each thermal image sensor 31 detects a certain number (a plurality) of thermal image data in time series. Therefore, the data collection unit 131 collects a plurality of (time-series) thermal image data from all the air conditioners 30.
  • the support device 10 deletes the thermal image data including the moving heat source (step S102). That is, the data evaluation unit 132 compares the collected time-series thermal image data in units of the air conditioner 30 and deletes the thermal image data if there is thermal image data in which the position of the feature point varies. For example, the data evaluation unit 132 compares time-series thermal image data for each pixel, and generates thermal image data using data having the smallest gradation value (low temperature) among them. In other words, in the time-series thermal image data, when the reflected heat source is moving (if there is a variation in feature points), by adopting the lowest temperature data in the same pixel between the thermal image data, The temperature of the background before and after the heat source is reflected can be acquired.
  • the same pixel between the thermal image data has almost the same value, so the data with the lowest temperature is used. By adopting it, it is possible to hold the value as it is.
  • the support device 10 tries to derive a relative positional relationship (step S103). That is, the deriving unit 133 derives the relative positional relationship of the air conditioners 30 based on the thermal image data from which the thermal image data including the moving heat source is deleted. Specifically, as shown in FIGS. 4A to 4C described above, the feature points H match in the thermal image data T1 and the thermal image data T2 while the corresponding sides (one side) partially overlap each other. Determine whether or not. The deriving unit 133 derives the relative positional relationship between the air conditioners 30 in consideration of information such as the angle of view of the thermal image sensor 31 and the estimated ceiling height.
  • the support device 10 determines whether or not all of them can be derived (step S104). That is, the deriving unit 133 determines whether or not the relative positional relationship has been derived for all the air conditioners 30.
  • the support device 10 instructs the air conditioner 30 selected at random (step S105). That is, for example, the command unit 134 selects the air conditioners 30 at random so that 30% of the air conditioners 30 as a target are targeted, and operates the air conditioners 30.
  • the command unit 134 may switch and command the cooling operation and the heating operation according to the room temperature, for example. For example, in order to blow out cool air or warm air having a temperature difference from the current room temperature by operating the air conditioner 30, the command unit 134 commands cooling operation in the summer (when the room temperature is high) and in the winter (room temperature If the temperature is low), command heating operation.
  • the support device 10 returns the process to step S101 described above.
  • the support device 10 when it is determined that all can be derived (step S104; Yes), the support device 10 generates location information based on the derived positional relationship (step S106). That is, the generation unit 135 generates location information according to the relative positional relationship between the air conditioners 30 derived in step 103. For example, the generation unit 135 includes information for identifying all the air conditioners 30 installed in the floor, and information indicating what positional relationship each air conditioner 30 is in the floor. Generate location information. Further, the generation unit 135 may generate a layout image in which a figure (as an example, a symbol) indicating each air conditioner 30 is arranged in the floor plan data.
  • the generation unit 135 may automatically generate the plan view data based on the thermal image data collected from the air conditioner 30. For example, the generation unit 135 identifies the structure including the wall from the thermal image data collected by the data collection unit 131 in a state where all the air conditioners 30 are operated by the command unit 134, thereby generating a rough floor shape. Is generated. Specifically, on the floor, the boundary position between the floor surface and the wall surface can be detected in the thermal image data due to the difference in material between the floor surface and the wall surface.
  • generation part 135 produces
  • the generation unit 135 may correct the rough floor shape by utilizing that the wall surface is generally a plane or a right angle.
  • the generation unit 135 determines the plane from the thermal image data collected by operating only the specified air conditioner 30. Graphic data may be generated.
  • location information is generated by an operator manually entering the installation positions of all the air conditioners 30.
  • Such a method for generating location information with manual work has a high work cost and may cause an input error.
  • the relative positional relationship between the air conditioners 30 is automatically acquired by such a derivation process, thereby greatly reducing the work cost at the time of introduction. Can be reduced.
  • the use of the thermal image sensor 31 that the air conditioner 30 already has (used for control) eliminates the need to add a dedicated device.
  • the relative positional relationship between the 30 can be automatically acquired.
  • the generation unit 135 can automatically generate plan view data indicating a floor outline.
  • the building BL is old and the plan view data at the time of construction is used. When there is no leftover, it is possible to reduce the trouble of manually creating the plan view data again.
  • the command unit 134 selects the air conditioner 30 selected at random. Make it work. That is, by operating some of the air conditioners 30, the temperature distribution is intentionally generated and the feature points can be detected, and the process is resumed from the collection of the thermal image data. For this reason, the relative positional relationship of each air conditioner 30 can be correctly derived
  • the data evaluation unit 132 compares the collected time-series thermal image data for each air conditioner 30 unit, and the thermal image data in which the position of the feature point varies is obtained. If there is, the thermal image data is deleted. For example, even when the worker moves in the floor during the execution of the derivation process, the data evaluation unit 132 deletes the thermal image data of the moving heat source. Therefore, since the deriving unit 133 derives the relative positional relationship of each air conditioner 30 using only the thermal image data of the heat source that does not move, the accuracy can be improved.
  • the support device 10 can appropriately derive the relative positional relationship among the plurality of air conditioners 30.
  • FIG. 6 is a block diagram showing an example of the configuration of the support device 10 according to another embodiment of the present invention. Unlike the support device 10 in FIG. 3, the calculation processing unit 13 further includes a group creation unit 136 in the support device 10 in FIG. 6.
  • the group creation unit 136 groups the air conditioners 30 installed on the same floor (same space) according to the positional relationship derived by the deriving unit 133. That is, the group creation unit 136 groups the air conditioners 30 together in units of air conditioners 30 for which the positional relationship has been derived. At that time, the group creation unit 136 may give identification information unique to the space.
  • generation part 135 has arrange
  • a layout image (for example, a layout image of the entire building BL) is generated.
  • the support device 10 can appropriately derive the relative positional relationship between the air conditioners 30.
  • the data evaluation unit 132 adopts the minimum value of the gradation value for each pixel in order to delete the thermal image data in which the heat source moves is described.
  • the thermal image data to which the heat source moves may be detected and deleted by a different method such as movement detection by.
  • indication part 134 demonstrated the case where the air conditioner 30 was selected and operated at random, in addition to this, the order of the identification information (ID number as an example) of the air conditioner 30
  • the air conditioner 30 may be selected and operated by another algorithm (operating one by one in ascending order or descending order).
  • the program executed by the arithmetic processing unit 13 is a CD-ROM (Compact Disc Read Only Memory), DVD (Digital Versatile Disc), MO (Magneto-Optical Disk), USB memory, memory card. It is also possible to store and distribute in a computer-readable recording medium such as the above. Then, by installing such a program on a specific or general-purpose computer, it is possible to cause the computer to function as the support apparatus 10 in the above-described embodiment.
  • the above program may be stored in a disk device included in a server device on a communication network such as the Internet, and may be downloaded onto a computer by being superimposed on a carrier wave, for example.
  • the above-described processing can also be achieved by starting and executing a program while transferring it via a communication network.
  • the above-described processing can also be achieved by executing all or part of the program on the server device and executing the program while the computer transmits and receives information regarding the processing via the communication network.
  • the present invention can be suitably employed in a support device, an air conditioning system, and a derivation method that can appropriately derive a relative positional relationship among a plurality of air conditioners.
  • 1 air conditioning system 10 support device, 11 communication unit, 12 data storage unit, 13 arithmetic processing unit, 131 data collection unit, 132 data evaluation unit, 133 derivation unit, 134 command unit, 135 generation unit, 136 group creation unit, 20 (20a, 20b) Outdoor unit, 30 (30a-30d) Air conditioner, 31 (31a-31d) Thermal image sensor, 90 Air conditioning communication network

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Abstract

L'invention concerne un dispositif d'assistance (10), une unité de collecte de données (131) collectant des données d'image thermique à partir de chaque climatiseur. Une unité d'évaluation de données (132) compare des données d'image thermique de série chronologique collectées pour chaque climatiseur, et s'il y a des données d'image thermique dans lesquelles une position de point caractéristique varie, ces données d'image thermique sont effacées. Une unité de dérivation (133) dérive la relation de position relative des climatiseurs sur la base de points caractéristiques communs contenus dans ce type de données d'image thermique. Il est à noter que lorsque l'unité de dérivation (133) ne peut pas dériver les relations de position relative des climatiseurs, une unité de commande (134) sélectionne et actionne un climatiseur au hasard. Dans cet état, le dispositif d'assistance (10) reprend à partir de la collecte de données d'image thermique. Une unité de génération (135) génère des informations d'emplacement en fonction des relations de position relative déduites des climatiseurs.
PCT/JP2016/077379 2016-09-16 2016-09-16 Dispositif d'assistance, système de climatisation et procédé de dérivation WO2018051479A1 (fr)

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JP2018539467A JP6755322B2 (ja) 2016-09-16 2016-09-16 支援装置、空調システム、および、導出方法
PCT/JP2016/077379 WO2018051479A1 (fr) 2016-09-16 2016-09-16 Dispositif d'assistance, système de climatisation et procédé de dérivation

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Cited By (5)

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WO2019229984A1 (fr) * 2018-06-01 2019-12-05 三菱電機株式会社 Dispositif de calcul de position relative, système de calcul de position relative, procédé de calcul de position relative et programme
WO2019244219A1 (fr) * 2018-06-18 2019-12-26 三菱電機株式会社 Système de climatisation, procédé de climatisation, dispositif de commande, et programme
CN110749043A (zh) * 2019-10-17 2020-02-04 珠海格力电器股份有限公司 一种空调调试设备及方法
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WO2020202323A1 (fr) * 2019-03-29 2020-10-08 三菱電機株式会社 Climatiseur intégré au plafond
JPWO2020202323A1 (ja) * 2019-03-29 2021-10-14 三菱電機株式会社 天井埋込型空気調和機
JP7066050B2 (ja) 2019-03-29 2022-05-12 三菱電機株式会社 天井埋込型空気調和機
CN110749043A (zh) * 2019-10-17 2020-02-04 珠海格力电器股份有限公司 一种空调调试设备及方法
JPWO2021181571A1 (fr) * 2020-03-11 2021-09-16
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