JP2018009714A - Control device, apparatus control system and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce a change frequency by suppressing useless air-conditioning setting change.SOLUTION: A control device 8 for communicating with an environment information acquisition device 3 for acquiring environment information about environment of a prescribed space to control an air conditioner 2 of the prescribed space includes: reception means 81 for receiving the environment information from the environment information acquisition device 3; and control data generation means 84 for generating control data of the air conditioner 2 on the basis of control guideline information preset in the environment information on condition that a state where the environment information exceeds a prescribed threshold continues for a constant time.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a control device, a device control system, and a program.

  There is known a system that automatically air-conditions a room where a person works or takes a break. In such a system, for example, when a human presence sensor such as an infrared sensor detects the presence of a person, air conditioning is automatically started by an air conditioner, or automatically when the person is gone. Or stop. It is possible to improve comfort and reduce power consumption without the person operating the air conditioner.

  However, air conditioning control using a human sensor is not necessarily suitable for a place where a large number of people move and there are many obstacles, such as a work space such as an office. One reason for this is that temperature distribution tends to occur because the work space of an office or the like is generally wide. Therefore, in an environment where temperature distribution occurs, some people feel hot and some people feel cold, and comfort is reduced.

  For such inconvenience, a technique for appropriately air-conditioning the temperature around the user has been devised (for example, see Patent Document 1). In Patent Document 1, when it is determined that the user has stopped moving based on the data related to the amount of activity for the user's past predetermined time, the temperature setting information of the region including the position where the user has stopped is changed. A device control system is disclosed.

  By the way, it has become clear that the comfort of a person in an office or the like greatly affects not only temperature and humidity but also brightness. Therefore, it is considered to detect a person and appropriately control the illumination. For example, it is possible to improve comfort and energy saving by turning on lighting in a place where a person is present or turning off lighting in a place where a person is not detected.

  However, lighting on / off is often an application that is uniformly controlled for the entire office or for each zone, and it has been difficult to properly control individual lighting. For this reason, conventionally, it has been difficult to control both the air conditioning and the lighting even if it is intended to provide a space where comfort and energy saving are considered for the people in the room.

  The present invention has been made in view of the above, and an object of the present invention is to reduce useless air-conditioning setting changes and reduce the change frequency.

  In order to solve the above-described problems and achieve the object, the present invention provides a control device for controlling an air conditioner in the predetermined space by communicating with an environmental information acquisition device that acquires environmental information related to the environment in the predetermined space. Receiving means for receiving environment information from the environment information acquisition device, and control guideline information set in advance for the environment information on condition that the state in which the environment information exceeds a predetermined threshold has continued for a certain period of time. Control data generating means for generating control data of the air conditioner based on the control data.

  According to the present invention, there is an effect that it is possible to suppress useless air-conditioning setting changes and reduce the change frequency.

FIG. 1 is a configuration diagram schematically illustrating an example of a device control system according to the first embodiment. FIG. 2 is an external perspective view showing an example of the first control target apparatus. FIG. 3 is a block diagram illustrating a hardware configuration of the detection apparatus. FIG. 4 is a block diagram illustrating a hardware configuration of the first control target device or the second control target device. FIG. 5 is a block diagram illustrating a hardware configuration of the management apparatus. FIG. 6 is a functional block diagram illustrating a functional configuration of the device control system. FIG. 7 is a diagram exemplarily showing information stored in the layout management DB. FIG. 8 is a diagram exemplarily showing information stored in the control guideline management DB. FIG. 9 is a diagram exemplarily showing information stored in the control area management DB. FIG. 10 is a diagram exemplarily showing information stored in the area information DB and the mass / area correspondence DB. FIG. 11 is a diagram exemplarily showing human density. FIG. 12 is a sequence diagram exemplarily showing processing of the management apparatus. FIG. 13A is a conceptual diagram exemplarily showing a temperature distribution, and FIG. 13B is a conceptual diagram exemplarily showing heat source data. FIG. 14 is a conceptual diagram of heat source data indicating the presence or absence of all the heat sources in one room. FIG. 15 is a flowchart schematically showing the flow of heat source data generation processing. FIG. 16A is a conceptual diagram showing a temperature distribution, and FIG. 16B is a conceptual diagram of heat source data indicating the presence or absence of a heat source. FIG. 17 is a diagram exemplarily illustrating the relationship between the number of temperature distribution sensors and the detectable range. FIG. 18 is a diagram exemplarily showing detection areas detected by two temperature distribution sensors. FIG. 19 is a flowchart showing the flow of the grid conversion process. FIG. 20 is a diagram illustrating the center coordinates of the detection mass detected by the thermopile sensor. FIG. 21 is a flowchart showing a flow of processing for generating control data relating to the light amount for the first control target device. FIG. 22 is a flowchart showing a flow of processing for generating control data of the air conditioner for the second control target device. FIG. 23 is a flowchart showing the flow of the air conditioning setting process. FIG. 24 is a diagram illustrating a specific example of air conditioning settings. FIG. 25 is a flowchart illustrating a flow of air conditioning setting processing according to the second embodiment. FIG. 26 is a diagram illustrating a specific example of air conditioning settings. FIG. 27 is a flowchart illustrating a flow of air conditioning setting processing according to the third embodiment.

  Embodiments of a control device, a device control system, and a program will be described in detail below with reference to the accompanying drawings.

(First embodiment)
<Outline of device control system>
FIG. 1 is a configuration diagram schematically illustrating an example of a device control system 100 according to the first embodiment. As shown in FIG. 1, the device control system 100 includes a plurality of first control target devices (1a, 1b, 1c, 1d, 1e, 1f, 1g) installed on the ceiling β side of a living room α which is an example of a predetermined space. , 1h, 1i), the second control target device 2, the wireless router 6, and the management device 8 have a configuration capable of communicating via the network N. Hereinafter, among the first control target devices (1 a, 1 b, 1 c, 1 d, 1 e, 1 f, 1 g, 1 h, 1 i), when referring to any first control target device, “first control target device 1 ".

  As shown in FIG. 1, the first control target device 1 is installed in each region 9 in which the ceiling β is divided into nine. And the detection apparatus 3 is provided in the 1st control object apparatus 1e arrange | positioned in the center of ceiling (beta). The detection device 3 is an environment information acquisition device that acquires environment information related to the environment of a living room α that is an example of a predetermined space. The size of one region 9 is, for example, 50 cm to several meters wide (square), but the size of the region 9 is appropriately determined according to the size and performance of the first control target device 1. Each region 9 into which the ceiling β is divided may not be the same size, and each region 9 may not be a square. For example, if it is a polygon such as a hexagon, the distances between the first control target devices 1 are the same as in the case of a square.

  The second control target device 2 is installed at an appropriate interval on the ceiling β. In FIG. 1, there is one second control target device 2, but a plurality of second control target devices 2 are installed in one room α as will be described later. The second control target devices 2 are preferably installed at equal intervals, but may not be equal intervals. The number of the first control target device 1 and the second control target device 2 is different because the range that can be covered by the first control target device 1 and the second control target device 2 is different, the size is different, the cost is different, etc. This is because of the reason. The number of the first control target device 1 and the second control target device 2 can be arbitrarily determined. In addition, when there are a plurality of second control target devices 2, the second control target device 2 is denoted by 2 a, 2 b, 2 c, respectively, and when indicating an arbitrary second control target device, “second control target device 2”. It shows.

  The 1st control object device 1 of this embodiment is an illuminating device as a fluorescent lamp type LED (Light Emitting Diode). The detection device 3 of the first control target device 1e detects a temperature distribution in which the room α is divided into a plurality of regions (here, 9 regions) by using, for example, a thermopile function. And the detection apparatus 3 of the 1st control object apparatus 1e transmits the heat source data which shows the presence or absence of a heat source to the management apparatus 8 based on the detected temperature distribution. A wireless LAN or the like is used for transmission, but it may be transmitted by wire. The floor of the living room α is a place where a person who is a target to be detected as a heat source exists.

  The second control target device 2 of the present embodiment is an air conditioner such as an air conditioner (the indoor unit is illustrated in FIG. 1). The outdoor unit is installed in a predetermined place for each second control target device 2 or in common to the plurality of second control target devices 2. In addition, although the 2nd control object apparatus 2 and the management apparatus 8 are connected by the wire in FIG. 1, you may communicate by radio | wireless.

  The wireless router 6 receives the heat source data transmitted from the detection device 3 and transmits it to the management device 8 via the communication network N. The communication network N is constructed by a LAN (Local Area Network) and may include the Internet in part.

  As will be described later, the management device 8 has the function of a control device and may be called a server. The management device 8 generates control data for controlling the first control target device 1 and the second control target device 2 based on the heat source data and the like sent from the wireless router 6. The management device 8 transmits the generated control data to the first control target device 1 and the second control target device 2. The 1st control object apparatus 1 performs dimming control of LED based on control data. The second control target device 2 controls temperature, humidity, wind power, and wind direction based on the control data. Therefore, the management apparatus 8 can control both lighting and air conditioning, and can provide a space in which comfort and energy saving are considered for the people in the room.

  As is apparent from the above description, the first control target device 1e on which the detection device 3 is mounted not only detects the temperature distribution of the room α, but also performs dimming control of the LED of its own device. The first control target device 1 e includes the detection device 3, but has the same function as the other first control target devices 1.

  In addition, the detection device 3 may be installed in or near the second control target device 2. The detection device 3 may be installed separately from the first control target device 1 or the second control target device 2. However, since the detection device 3 is integrated with the first control target device 1, there is an advantage that the detection device 3 can be easily attached and detached, and there is no need to prepare a space for attaching the detection device 3.

<Terminology>
A living room is a room where people are present. The living room may be a room where a plurality of people exist. Specifically, the living rooms are offices, factories, seminar venues, exhibitions, indoor stadiums, and the like. The living room may be a private home.

  The environmental information is information related to the environment of the living room. Further, the environmental information is information relating to a preferable environmental state in order for a person to act comfortably. Or environmental information is the information regarding the state of the environment where it is preferable to be controlled in order for a person to operate comfortably. Specifically, the environmental information will be described using detection data (heat source data, temperature, humidity, illuminance), which will be described later, as an example, but is not limited thereto.

<Outline of first control target device>
Next, the apparatus main body 120 to which the first control target apparatus 1 and the first control target apparatus 1e are attached will be described with reference to FIG. FIG. 2 is an external perspective view showing an example of the first control target device 1.

  As shown in FIG. 2, the first control target device 1 as a fluorescent lamp type LED lighting fixture has a straight tube type LED lamp 130. The first control target device 1 is attached to the device main body 120 installed around the center of the ceiling β of the living room α. A socket 121a and a socket 121b are provided at both ends of the apparatus main body 120, respectively. Among these, the socket 121a has power supply terminals (124a1, 124a2) for supplying power to the LED lamp 130.

  The socket 121b also has power supply terminals (124b1, 124b2) for supplying power to the LED lamp 130. Thereby, the apparatus main body 120 can supply the power from the power source to the LED lamp 130.

  On the other hand, the LED lamp 130 has a translucent cover 131 and caps (132a, 132b) provided at both ends of the translucent cover 131, respectively. Among these, the translucent cover 131 is formed, for example with resin materials, such as an acrylic resin, and is provided so that an internal light source may be covered. The first control target device 1 e includes the detection device 3 adjacent to or inside the translucent cover 131 along the translucent cover 131.

  Further, the base 132a is provided with terminal pins (152a1, 152a2) connected to the power supply terminals (124a1, 124a2) of the socket 121a, respectively. The base 132b is provided with terminal pins (152b1, 152b2) connected to the power supply terminals (124b1, 124b2) of the socket 121b, respectively. When the LED lamp 130 is mounted on the apparatus main body 120, each terminal pin (152a1, 152a2, 152b1, 152b2) is connected to the apparatus main body 120 via each power supply terminal (124a1, 124a2, 124b1, 124b2). Electric power can be supplied. Thereby, the LED lamp 130 irradiates light to the outside through the translucent cover 131. The detection device 3 operates with power supplied from the device main body 120.

<Hardware Configuration of Detection Device, First Control Target Device, and Second Control Target Device>
Next, the hardware configuration of the detection device 3 will be described. Here, FIG. 3 is a block diagram showing a hardware configuration of the detection device 3. As shown in FIG. 3, the detection device 3 includes a wireless module 301, an antenna I / F 302, an antenna 302a, a sensor driver 304, a temperature distribution sensor 311, an illuminance sensor 312, a temperature / humidity sensor 313, a device controller 315, A bus line 310 such as an address bus or a data bus for electrically connecting the components is provided.

  The wireless module 301 is a component for performing wireless communication. The wireless module 301 implements wireless communication with an external device via the antenna I / F 302 and the antenna 302a. The wireless module 301 performs communication by a communication method such as ARIB STD-T108 (920 MHz band wireless used for telemeters, telecontrol, etc.), Bluetooth (registered trademark), WiFi (registered trademark), or ZIGBEE (registered trademark). Can be done. Note that the communication method of the wireless module 301 may be not only wireless communication but also wired communication such as Ethernet (registered trademark) cable or PLC (Power Line Communications). The wireless module 301 operates under the control of a communication control program executed by the device controller 315.

  The temperature distribution sensor 311 is a thermal detection element that detects the temperature distribution in the living room α by detecting infrared rays. Since the temperature distribution sensor 311 can detect the surface temperature of a person or an object by using a thermal detection element, it can detect the temperature of a place near a person. The thermal detection element has an absorption layer that absorbs light and converts it into heat, and outputs a temperature change of the absorption layer to the outside as an electrical signal. Examples of the thermal detection element include a thermopile, a bolometer, a pyroelectric element, and a diode whose voltage-current characteristics change. In the present embodiment, the temperature distribution sensor 311 will be described as detecting a temperature distribution using a thermopile. The temperature distribution sensor 311 has a plurality of thermopile sensors and detects the temperature for each detection mass described later.

  The illuminance sensor 312 is a sensor that detects the brightness in the room α. The temperature / humidity sensor 313 is a sensor that detects the temperature and humidity of the living room α near the detection device 3. The temperature detected by the temperature / humidity sensor 313 is used for conversion from the temperature / humidity of the ceiling surface to the amount of water vapor, and the humidity of the floor surface is calculated from the amount of water vapor and the temperature of the floor surface by the thermopile. In the present embodiment, the temperature detected by the temperature / humidity sensor 313 may not be used.

  The sensor driver 304 is an interface of the temperature distribution sensor 311, the illuminance sensor 312, and the temperature / humidity sensor 313. The sensor driver 304 converts commands for driving the temperature distribution sensor 311, the illuminance sensor 312, and the temperature / humidity sensor 313, which are transmitted from the device controller 315, into commands suitable for the sensors, and sends the commands to the sensors. The sensor driver 304 converts the signal detected by each sensor into a format that can be used by the device controller 315 and sends the converted signal to the device controller 315.

  The device controller 315 is a control device that controls the entire detection device 3. The device controller 315 is an information processing device such as a microcomputer that has a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like and executes a program. Alternatively, the device controller 315 may be constructed by hardware such as an IC. For example, the device controller 315 controls the timing at which the temperature distribution sensor 311, the illuminance sensor 312, and the temperature / humidity sensor 313 detect the temperature and the like, and processes data detected by each sensor. For example, the device controller 315 generates heat source data indicating the presence or absence of a heat source from the temperature distribution data output from the temperature distribution sensor 311. The device controller 315 transmits detection data including heat source data to the management device 8.

  Next, the hardware configuration of the first control target device 1 and the second control target device 2 will be described. Here, FIG. 4 is a block diagram showing a hardware configuration of the first control target device 1 or the second control target device 2. As shown in FIG. As shown in FIG. 4, the device controller 315 of the first control target device 1 controls the dimming of the LED based on the control data transmitted from the management device 8. The device controller 315 of the second control target device 2 controls the air conditioner based on the control data transmitted from the management device 8.

  The device controller 315, the antenna I / F 302, and the wireless module 301 are the same as those in FIG. The first control target device 1 or the second control target device 2 includes a control target device 319. In the case of the first control target device 1, the control target device 319 is an LED lamp 130, a control circuit for the LED lamp 130, or the like. In the case of the second control target device 2, the control target device 319 is an air conditioner heat pump, a compressor, a control circuit, or the like.

  In the case of the first control target device 1e having the detection device 3, the device controller 315, the antenna I / F 302, and the wireless module 301 may be common to the detection device 3. Thereby, the number of parts of the detection apparatus 3 can be reduced.

<Hardware Configuration of Management Device 8>
Next, the hardware configuration of the management device 8 will be described. FIG. 5 is a block diagram illustrating a hardware configuration of the management apparatus 8.

  The management device 8 is configured as an information processing device. The management device 8 includes a CPU 801 that controls the operation of the management device 8 as a whole, a ROM 802 that stores a program used to drive the CPU 801 such as an IPL (Initial Program Loader), and a RAM 803 that is used as a work area for the CPU 801. Also, an HD (Hard Disk) 804 that stores various data such as a management program, and an HDD (Hard Disk Drive) 805 that controls reading or writing of various data to the HD 804 according to the control of the CPU 801.

  The management apparatus 8 includes a media I / F 807, a display 808, and a network I / F 809. The media I / F 807 controls reading or writing (storage) of data with respect to the medium 806 such as a flash memory. The display 808 displays various information such as a cursor, menu, window, character, or image. The network I / F 809 performs data communication using the communication network N.

  The management apparatus 8 includes a keyboard 811, a mouse 812, a CD-ROM (Compact Disk Read Only Memory) drive 814, and a bus line 810. The keyboard 811 includes a plurality of keys for inputting characters, numerical values, various instructions, and the like. The mouse 812 performs selection and execution of various instructions, selection of a processing target, movement of a cursor, and the like. The CD-ROM drive 814 controls reading or writing of various data with respect to a CD-ROM 813 as an example of a removable recording medium. The bus line 810 is an address bus or a data bus for electrically connecting the above components.

  The hardware configuration of the management device 8 shown in the figure does not need to be housed in a single casing or provided as a single device, and represents a hardware element that the management device 8 preferably includes. . Further, in order to support cloud computing, the physical configuration of the management device 8 of the present embodiment does not have to be fixed, and hardware resources are dynamically connected and disconnected according to the load. May be configured.

  The management program is distributed in an executable format, a compressed format, or the like stored in a storage medium such as the medium 806 or the CD-ROM 813, or distributed from a server that distributes the program.

<Functional configuration of device control system 100>
Subsequently, the functions of the first control target device 1e including the detection device 3, the first control target device 1, the second control target device 2, and the management device 8 not including the detection device 3 will be described with reference to FIG. . FIG. 6 is a functional block diagram illustrating a functional configuration of the device control system 100.

<Functional Configuration of First Control Target Device 1e>
First, the functional configuration of the first control target device 1e will be described. The first control target device 1e has the functions of the detection device 3 and the control target unit 20. The detection device 3 includes a transmission / reception unit 31, a detection unit 32, a determination unit 33, a generation unit 34, and a control unit 35. Each of these units is a function or means realized by a command or the like that the device controller 315 shown in FIG. 3 outputs according to a program. In addition, the control target unit 20 is realized by, for example, the LED lamp 130 that is a target of light control.

  The transmission / reception unit 31 of the detection device 3 is a function or means realized by the operation of the device controller 315, the wireless module, or the like. For example, the transmission / reception unit 31 transmits / receives various data to / from the management device 8 via the communication network N.

  The detection unit 32 is a function or means realized by the operation of the temperature distribution sensor 311, the illuminance sensor 312, and the temperature / humidity sensor 313. The detection unit 32 detects the temperature distribution, illuminance, temperature, and humidity of each region 9 in the predetermined space.

  The determination unit 33 is a function or means realized by the operation of the device controller 315. For example, the determination unit 33 determines whether the temperature of the region 9 is within a predetermined range (for example, 30 ° C. to 35 ° C.).

  The generation unit 34 is a function or means realized by the operation of the device controller 315. For example, the generation unit 34 generates heat source data indicating the presence or absence of a heat source based on the determination result of the determination unit 33.

  The control unit 35 is a function or means realized by the operation of the device controller 315. For example, the control unit 35 generates a control signal to be output to the control target unit 20 based on the control data sent from the management device 8.

<Functional Configuration of First Control Target Device 1 (No Detection Device) and Second Control Target Device 2>
Next, functional configurations of the first control target device 1 and the second control target device 2 that do not have the detection device 3 will be described. The first control target device 1 and the second control target device 2 that do not have the detection device 3 include a transmission / reception unit 51, a control unit 55, and a control target unit 20. The transmission / reception unit 51 and the control unit 55 constitute the communication device 5. The transmission / reception unit 51 is a function or means realized by the operation of the device controller 315 or the wireless module 301. The transmission / reception unit 51 transmits / receives various data to / from the management apparatus 8 via the communication network N.

  The control unit 55 is a function or means realized by the operation of the device controller 315. The control unit 55 generates a control signal to be output to the control target unit 20 based on the control data sent from the management device 8.

  In the case of the 1st control object device 1, control object part 20 is realized by LED lamp 130 etc. which are the objects of light control. In the case of the 2nd control object device 2, control object part 20 is realized by a heat pump, a compressor, etc. of an air conditioner.

<Functional Configuration of Management Device 8>
Next, the functional configuration of the management device 8 will be described. The management device 8 includes a transmission / reception unit 81, a collation unit 82, a generation unit 84, a grid conversion processing unit 85, and a storage / reading processing unit 89. Each unit is a function or means realized by operating according to a command from the CPU 801 in accordance with a management program expanded from the HD 804 and the RAM 803 shown in FIG. Furthermore, the management device 8 has a storage unit 8000 constructed by the RAM 803 and the HD 804 shown in FIG. In the storage unit 8000, a layout management DB (Data Base) 8001, a control guideline management DB 8002, and a control area management DB 8003 are constructed. First, these databases will be described.

(Layout management DB)
First, the layout management DB 8001 will be described. Here, FIG. 7 is a diagram exemplarily showing information stored in the layout management DB 8001. The layout management DB 8001 manages the layout information of the first control target device 1 or the second control target device 2 as shown in FIG.

  As shown in FIG. 7A, the layout information includes one room α divided into 54 areas as an example, and each area 9 identifies the first control target device 1 as an LED lighting apparatus. Are managed in association with each other. The alphabets a to f and the two-digit numerical value are the device ID. Among these, the nine areas 9 on the upper left starting with the device ID “a” correspond to the nine areas in FIG. That is, FIG. 1 shows a part of the living room α. The actual living room α has six blocks whose device IDs start with a, b, c, d, e, and f. Each block is divided into nine areas, and is divided into a total of 54 areas. Such division of the area 9 is an example, and it may be divided into any number of blocks, and one block may be divided into a number of areas other than 9 areas.

  In FIG. 7A, the alphabetic x and the two-digit numerical value are the device ID of the second control target device 2. Although the second control target devices 2 having device IDs x12, x21, and x22 are not shown in FIG. 1, they are installed on the ceiling β as shown in FIG. That is, four air conditioners are attached to the ceiling β of the living room α.

  The ID is a name, code, character string, numerical value, or a combination thereof used to uniquely distinguish a specific target from a plurality of targets. The ID may be referred to as identification information or an identifier. Specifically, a combination of serial numbers that does not overlap with the room number, a simple serial number, a serial number of the apparatus, and the like are not limited thereto.

  In the present embodiment, the device ID may be used as identification information for identifying the region 9 using the fact that one first control target device 1 is installed in one region 9. .

  FIG. 7B is a conceptual diagram of the layout information of the room α. Each area 9 of the layout information shown in FIG. 7A shows an area 9 separated by a wavy line or a solid line on the layout of the actual room α shown in FIG. 7B. Yes. FIG. 7B shows an actual layout in which desks and chairs are arranged. Also in FIG. 7B, the living room is divided into 54 areas in the same manner as the living room α in FIG. That is, the position of each area 9 in FIG. 7B is the same as the position of each area 9 in FIG. In FIG. 7B, the lower side of the drawing is the corridor γ side, and the upper side of the drawing is the window side.

(Control guideline management DB)
Next, the control guideline management DB 8002 will be described. Here, FIG. 8 is a diagram exemplarily showing information stored in the control guideline management DB 8002. The control guide management DB 8002 manages a first control guide management table as shown in FIG. In the first control guideline management table, the control content of the control target unit 20 is managed in association with the heat source field. For example, if the heat source field is “1” indicating that there is a heat source, it indicates that there is a person in the area 9. In this case, in the first control guideline management table, the light amount is set to 100% so as to maximize the light amount of the LED so that a person can work comfortably. On the other hand, when the heat source field is “0” indicating that there is no heat source, since there is no person in the area 9, the light quantity of the LED is set to 60% in order to realize energy saving. Note that 100% is only an example of a comfortable light amount, and 60% is an example of a light amount that realizes energy saving and does not make work difficult. For example, when the heat source field is “1”, the light amount is 90% and the heat source field. When “0” is “0”, the light quantity may be set to 50%. As long as the light quantity of the heat source field “1” is higher than the light quantity of the heat source field “0”, both may be any percentage.

  In addition, the first control guideline management table may be set for each first control target apparatus 1 and each area 9. Thereby, the management apparatus 8 can control the 1st control object apparatus 1 with the control guideline which changes with the 1st control object apparatus 1. FIG.

  The control guide management DB 8002 manages a second control guide management table as shown in FIG. In the second control guideline management table, control guidelines for air conditioning are managed in association with human density and “temperature gap + humidity”. The temperature gap is a difference between the target value when the second control target device 2 controls the temperature and the temperature detected by the temperature distribution sensor 311. According to the second control guideline management table of FIG. 8B, for example, the human density is 1 to 19%, the temperature is in the range of -T1 ° C to -T2 ° C with respect to the target value, and the humidity is less than H1%. In this case, the second control target device 2 is controlled so that the temperature becomes + 2 ° C. with respect to the target value. If the humidity is H1% or higher even with the same human density (1 to 19%) and the same temperature range, the second controlled device 2 is controlled dry.

  In the second control guide management table, control guidelines for air conditioning as shown in FIG. 8B are set for each human density according to the combination of the temperature gap and the humidity. Therefore, the management device 8 can finely control the air conditioning. For example, when the human density is high, the management device 8 controls the second control target device 2 before the person feels uncomfortable because the temperature of the region 9 actually increases or the humidity changes due to the human body temperature. it can. That is, feedforward control is possible. Therefore, comfort can be further improved.

  It should be noted that the method of dividing the human density is merely an example for explanation, and the human density may be divided more finely, or the width of the human density of each partition may be uneven.

(Control area management DB)
Next, the control area management DB 8003 will be described. Here, FIG. 9 is a diagram exemplarily showing information stored in the control area management DB 8003. A control area management table as shown in FIG. 9 is managed in the control area management DB 8003. In the control area management table, the area ID is managed in association with the apparatus ID of the second control target apparatus 2. The area ID is the device ID of the first control target device. As can be seen from FIG. 7A, the device ID of the second control target device 2 is associated with the region ID of the 3 × 3 region 9 centering on the second control target device 2.

  Note that 3 × 3 is merely an example and may be 4 × 4 or the like, and the second control target device closest to each region 9 may be associated with the region 9. With respect to the first control target device 1, since one region 9 is associated with one first control target device 1, a control region management table is unnecessary, but one first control target device 1 is the first. When using the presence / absence of a heat source in the region 9 that is not limited to just below the control target device 1, a control region management table as shown in FIG. 9 is prepared.

(Region information DB)
Next, the area information DB 8004 and the mass / area correspondence DB 8005 will be described with reference to FIG. FIG. 10 is a diagram exemplarily showing information stored in the area information DB 8004 and the mass / area correspondence DB 8005. The area information DB 8004 manages an area information table as shown in FIG. In the area information table, the coordinate information of each area 9 is registered in the area ID of the area 9. The coordinate information of each area 9 is, for example, the coordinates of diagonal vertices. Thereby, the management apparatus 8 can determine where each area is from where. For example, the region 9 with the region ID = a11 is a square of 0 to 100 cm in the X direction and 0 to 100 cm in the Y direction. The size of the area 9 is an example.

(Mass / area DB)
Next, the mass / region correspondence DB 8005 will be described with reference to FIG. A mass / region correspondence table as shown in FIG. 10B is managed in the mass / region correspondence DB 8005. The mass / region correspondence table is a table for associating the detected mass with the region 9. Therefore, the area ID is registered in the mass / area correspondence table in association with the mass ID. The mass ID is an ID for identifying the detected mass. For example, it is a number that does not overlap, a combination of the ID of the first control target device 1 and a number or alphabet. One square ID corresponds to only one area ID, but one area ID may correspond to a plurality of square IDs.

(Each functional configuration of the management device)
Next, returning to FIG. 6, each functional configuration of the management apparatus 8 will be described. The transmission / reception unit 81 illustrated in FIG. 6 receives, for example, detection data (environment information) from the detection device 3 or transmits control data to the detection device 3. That is, the transmission / reception unit 81 functions as reception means.

  For example, the collation unit 82 collates the layout information shown in FIG. 7A and the heat source data shown in FIG. 14 described later. Thereby, the presence or absence of a person for each area 9 is determined.

  The generation unit 84 refers to the verification result of the verification unit 82 and the first control guide management table, and generates control data indicating the amount of light for the first control target device 1. Further, the generation unit 84 which is a control data generation unit refers to the verification result of the verification unit 82 and the second control guide management table based on the heat source data and the humidity data detected by the temperature / humidity sensor 313, for example. Control data of the air conditioner for the control target device 2 is generated.

  The grid conversion processing unit 85 converts the heat source data transmitted by the temperature distribution sensor 311 into heat source data of the area 9 of the living room α. Details will be described later.

  For example, the storage / reading processing unit 89 reads data from the storage unit 8000 or stores data in the storage unit 8000.

<About human density>
Here, human density will be described. FIG. 11 is a diagram exemplarily showing human density. In FIG. 11A, 3 × 3 regions 9 are shown for the sake of explanation. Each 3 × 3 area 9 is set in the control area management DB 8003 of the management apparatus 8 as a range in which one second control target apparatus 2 performs air conditioning (a range in which temperature, humidity, and the like are controlled). The human density is also calculated with respect to a range in which one second control target device 2 performs air conditioning.

  In FIG.11 (b), the black circle was shown in the area | region 9 (area | region with a heat source) where the person was detected. Since people are detected in three of the nine regions 9, the human density is calculated as (3 ÷ 9) × 100 = about 33%. No matter how many people are actually in the area 9, if a person is detected in the area 9, it is counted as one person.

  Each of the 3 × 3 regions 9 in which the human density is calculated is a range in which one second control target device 2 is air-conditioned, but the temperature data and humidity data of the nine regions 9 are managed from the detection device 3. Has been sent to the device 8. The management device 8 determines the average of the temperature data of the nine regions 9 as the environmental value of the nine regions 9. Regarding the humidity, the humidity data detected by the detection device 3 closest to the second control target device 2 may be used as the environmental value, or the average of the humidity data detected by several detection devices 3 may be used as the environmental value.

<Operation procedure>
Hereinafter, processing or operation of the management apparatus 8 will be described.

  Here, the management device 8 generates control data for controlling the first control target device 1e based on various data detected by the first control target device 1e, and the first control target device 1, and Processing in which the first control target device 1 and the second control target device 2 perform light control and air conditioning by transmitting control data to the second control target device 2 will be described. For simplification of description, among the plurality of first control target devices 1, the first control target device 1 e provided with the detection device 3, the other first control target device 1, and the second control target device 2. The process will be described.

  FIG. 12 is a sequence diagram exemplarily showing processing of the management apparatus 8. As shown in FIG. 12, first, the detection unit 32 of the first control target device 1e detects the temperature distribution of each region 9 in the living room α (step S21).

  Next, the determination unit 33 determines whether the temperature is within a predetermined range value (for example, 30 ° C. to 35 ° C.) for each region 9, so that the generation unit 34 obtains the heat source data based on the determination result. Generate (step S22).

  Here, generation of heat source data will be described. FIG. 13A is a conceptual diagram exemplarily showing a temperature distribution, and FIG. 13B is a conceptual diagram exemplarily showing heat source data. As a result of detecting the temperature of each region 9 by the detection unit 32, it is assumed that the temperature distribution of the nine regions 9 is in the state shown in FIG. The generation unit 34 generates heat source data as shown in FIG. As can be seen by comparing FIG. 13 (a) and FIG. 13 (b), the heat source data is indicated by heat source presence / absence information indicating the presence / absence of the heat source, and the temperature is within a predetermined range value (for example, 30 ° C. to 35 ° C.). Region 9 is represented as “1”, and region 9 having a temperature below 30 ° C. and greater than or equal to 36 ° C. is represented as “0”.

  Returning to FIG. The detection unit 32 of the first control target device 1e detects the illuminance, temperature, and humidity in the vicinity of the first control target device 1e (step S23).

  And the transmission / reception part 31 of the 1st control object apparatus 1e transmits detection data with respect to the management apparatus 8 (step S24). The detection data includes heat source data generated in step S22, temperature / humidity data (including temperature data used to generate the heat source data) and illuminance data indicating the result detected in step S23. . Thereby, the transmission / reception part 81 of the management apparatus 8 receives detection data. The temperature data used for generating the heat source data is preferably for each detection mass, but may be an average of the temperatures of some or all of the regions 9. Thereby, it can suppress that the load of the management apparatus 8 increases. In this case, the averaged temperature of each region is treated as the same.

  FIG. 14 shows heat source data obtained by synthesizing heat source data transmitted from a plurality of first control target devices 1 e having the detection device 3. FIG. 14 is a conceptual diagram of heat source data indicating the presence or absence of all heat sources in one room α. The heat source data shown in FIG. 13B corresponds to the heat source data of the upper left block B in FIG. The heat source data in FIG. 14 is also actually given by a distorted detection mass.

  Next, the grid conversion processing unit 85 of the management apparatus 8 reads the mass / area correspondence table from the mass / area correspondence DB 8005 and converts the heat source data into heat source data corresponding to the area 9 (step S24-2). . Details will be described with reference to FIG.

  Next, the storage / read processing unit 89 of the management device 8 reads the layout information shown in FIG. 7A from the layout management DB 8001 (step S25).

  And the collation part 82 collates the layout information shown by Fig.7 (a), and the heat source data shown by FIG. 14 (step S26). By this collation, for example, in the area 9 where the first control target device 1a is present in the layout information, since the heat source field of the heat source data is “1”, it is determined that “there is a heat source”.

  Next, the storage / read processing unit 89 of the management device 8 searches the first control guideline management table of the control guideline management DB 8002 using “1” and “0” indicating the presence or absence of the heat source in the heat source data as search keys. Thus, the corresponding light quantity is read (step S27-1).

  Further, the storage / reading processing unit 89 of the management apparatus 8 reads the second control guideline management table from the control guideline management DB 8002 and reads the control area management table from the control region management DB 8003 (step S27-2).

  And the production | generation part 84 produces | generates the control data which show the light quantity with respect to the 1st control object apparatus 1 (step S28). Moreover, the production | generation part 84 produces | generates the control data of the 2nd control object apparatus 2 (step S28). Thus, based on one detection data transmitted in step S24 (based on the same detection data), both control data for the first control target device 1 and control data for the second control target device 2 can be created. Therefore, even when the two devices of the first control target device 1 and the second control target device 2 are controlled, the number of times the management device 8 receives the detection data detected by the detection device 3 can be reduced by half. Moreover, since the same detection data is used, it becomes easy to take consistency of operation | movement of the 1st control object apparatus 1 and the 2nd control object apparatus 2. FIG.

  Next, the transmission / reception part 51 transmits each control data with respect to the 1st control object apparatus 1 (step S29-1, S29-2). On the other hand, the transmission / reception unit 31 of the first control target device 1e receives control data. In addition, the transmission / reception unit 51 of the first control target device 1 other than the first control target device 1e receives the control data.

  Next, in the 1st control object apparatus 1e, control part 35 generates a control signal for outputting to control object part 20 as an LED lamp based on control data (Step S30-1). Similarly, the control part 55 of the 1st control object apparatus 1 other than the 1st control object apparatus 1e produces | generates the control signal for outputting to the control object part 20 as an LED lamp based on control data (step S30-). 2).

  The control unit 35 outputs a control signal to the control target unit 20 (step S31-1). The control unit 55 outputs a control signal to the control target unit 20 (step S31-2).

  Thereby, the light quantity of the control object part 20 as an LED lamp is controlled (step S32-1, S32-2).

  The transmission / reception unit 81 of the management device 8 transmits control data to the second control target device 2 (step S33). On the other hand, the transmission / reception part 51 of the 2nd control object apparatus 2 receives control data.

  As a result, the temperature, humidity, air volume, and wind direction of the control target unit 20 as an air conditioner are controlled (step S34).

  For example, in FIG. 13, since it is determined that there is no heat source in the area 9 with the area ID a22 (indicated by “0”), the area is in accordance with the first control guideline management table of FIG. The amount of light of the first control target device 1 in the area 9 whose ID is a22 is controlled to 60%. On the other hand, in FIG. 13, since there is a heat source directly below the region 9 with the region ID a21 (indicated by “1”), the region ID is a21 according to the first control guide management table of FIG. The amount of light of the first control target device 1 in the region 9 is controlled to 100%.

  As a result, when the heat source is detected because there is a person, the light quantity of the LED is maximized, and when the heat source is not detected because there is no person, the light quantity of the LED is reduced, thereby realizing energy saving. Can do. In addition, when there is a person, the amount of light increases, so that the comfort of the person can be improved.

<Judgment of presence or absence of heat source>
A method for determining the presence or absence of the heat source described in step S22 of FIG. 12 will be described.

  FIG. 15 is a flowchart schematically showing the flow of heat source data generation processing. FIG. 16A is a conceptual diagram showing a temperature distribution, and FIG. 16B is a conceptual diagram of heat source data indicating the presence or absence of a heat source.

  First, the generation unit 34 of the management device 8 extracts the region 9 in which the determination unit 33 does not determine whether the temperature is within a predetermined range (for example, 30 ° C. to 35 ° C.) from the temperature distribution data (step S41). .

  Then, the determination unit 33 determines whether or not the temperature of the region 9 extracted in step S41 is within a predetermined range (step S42). For example, when an electric pot (water heater) is installed in the region 9 where the first control target device 1 with the device ID a13 is installed, as shown in FIG. The temperature of the region 9 may reach 60 ° C. due to the heat of the container. In such a case, even if a heat source is present, it is not within the range of human heat sources (for example, 30 ° C. to 35 ° C.).

  Next, when the determination unit 33 determines in step S42 that it is within the predetermined range (Yes), it determines that there is a heat source (step S43). In this case, as shown in FIG. 16B, the heat source data is set to “1” indicating that there is a heat source.

  On the other hand, if the determination unit 33 determines that it is not within the predetermined range (No), it determines that there is no heat source (step S44). In this case, as shown in FIG. 16B, the heat source data is set to “0” indicating that there is no heat source.

  Then, after the processing in steps S43 and S44, the determination unit 33 determines whether or not the determination on whether or not the temperature is within the predetermined range is completed in all the regions 9 (step S45). If it is determined in step S45 that all the regions 9 have been determined (Yes), the processing in step S22 in FIG. 12 ends. On the other hand, if it is determined in step S45 that the determination of all the regions 9 has not been completed (No), the process returns to step S41.

  In this way, according to the processing shown in FIG. 15, even if a heat source is present, if it exceeds the range of the heat source by a specific object (for example, a human), the heat source is not handled. Thus, the presence of a person can be detected more accurately. Thereby, there exists an effect that an energy saving can be implement | achieved more correctly.

<Association of heat source data and area>
As described above, the heat source data as shown in FIG. 16 is obtained. However, since the shape of the mass of the heat source data is actually distorted depending on the mounting angle of the temperature distribution sensor 311, the following inconvenience occurs.

  First, the more temperature distribution sensors 311, the more accurately the temperature of each region 9 can be detected. However, if the temperature distribution sensor 311 is large, the cost increases. Therefore, it is considered to install a plurality of temperature distribution sensors 311 in one first control target device 1. However, in that case, it is necessary to install the temperature distribution sensor 311 in a state where the temperature distribution sensor 311 is not perpendicular to the floor surface but is inclined to the floor surface. Since a plurality of temperature distribution sensors 311 are installed in a limited place that is integral with or in the vicinity of the first control target device 1, the temperature detectable range 501 of one temperature distribution sensor 311 is provided unless an inclination is provided. It is because it cannot spread.

  FIG. 17 is a diagram exemplarily illustrating a relationship between the number of temperature distribution sensors 311 and the detectable range 501. In FIG. 17A, since the temperature distribution sensor 311 is one and is installed perpendicular to the floor surface, the detectable range 501 is a square (or a rectangle). In FIG. 17B, there are two temperature distribution sensors 311. However, since the temperature distribution sensors 311 are installed in a state where an inclination is given to the floor surface, each detectable range 501 has a shape distorted by trapezoidal distortion (trapezoid). It becomes. In FIG. 17 (c), there are four temperature distribution sensors 311. However, since each of the temperature distribution sensors 311 is installed with an inclination to the floor surface, each detectable range 501 is extended only by one diagonal line of a square. It becomes a warped shape (a shape close to a rhombus). This is because the temperature distribution sensor 311 is installed in a state rotated by 90 ° with respect to FIG.

  On the other hand, each area 9 of the living room α is divided into a square or a rectangle. For this reason, when the several temperature distribution sensor 311 is installed in one 1st control object apparatus 1, it is necessary to match the heat source data of the distorted shape with the area | region 9 of the room (alpha).

  FIG. 18 is a diagram exemplarily showing detection areas detected by two temperature distribution sensors 311. FIG. 18A shows a detectable range 501 detected by the two temperature distribution sensors 311. In FIG. 18A, a total of six first control target devices 1 are illustrated, and one first control target device 1 has two temperature distribution sensors 311. One temperature distribution sensor 311 further includes a 4 × 4 thermopile sensor. That is, one temperature distribution sensor 311 can detect 16 temperatures in parallel. A detectable range 501 of one thermopile sensor is referred to as a detection mass 502 (an example of a sensor detection range).

  Since the temperature distribution sensor 311 is not installed perpendicular to the floor surface, the detectable range 501 and the detection mass 502 are distorted in a trapezoidal shape. Therefore, the heat source data transmitted from the detection device 3 to the management device 8 is also obtained in such a shape. It becomes difficult to use the heat source data distorted in a trapezoid as it is for the temperature of each region 9 of the living room α. Therefore, as shown in FIG. 18B, the heat source data is converted into a shape without distortion. Alternatively, the presence or absence of the heat source in each detection mass 502 of the heat source data is made to correspond to each region 9 of the living room α. That is, a plurality of squares in FIG. 18B indicate the respective regions 9 of the living room α.

  FIG.18 (c) is the figure which superimposed FIG.18 (a) and FIG.18 (b). The grid conversion processing unit 85 of the management device 8 associates each area 9 in FIG. 18B with the detection mass 502 in FIG. 18A, and the detection mass 502 of the thermopile sensor that overlaps the area 9 in each area 9. Set the heat source data (with or without heat source). Since only one detection mass 502 is not necessarily included in one area 9, when a plurality of detection masses 502 correspond to one area 9, the logical sum of presence or absence of a heat source is set in the area 9. The

  FIG. 19 is a flowchart illustrating a flow of a grid conversion process in which the grid conversion processing unit 85 of the management apparatus 8 associates the detected grid 502 in the detectable range 501 with the area 9. The process of FIG. 19 is executed in S24-2 of FIG.

  First, the grid conversion processing unit 85 sets 1 to the sensor number n of the temperature distribution sensor 311 (step S51). The sensor number n is a serial number assigned to the temperature distribution sensor 311 for easy processing.

  Next, the grid conversion processing unit 85 sets 1 to the grid number m (step S52). The mass number m is a serial number assigned to the detection mass 502 formed by each of the plurality of thermopile sensors included in one temperature distribution sensor 311.

  The grid conversion processing unit 85 determines which region 9 the detected mass 502 of the focused thermopile sensor overlaps (step S53). This determination is made based on whether or not the center coordinate O of the detection mass 502 of the thermopile sensor is included in the region 9. The center coordinate O will be described with reference to FIG.

  The square conversion processing unit 85 sets the presence / absence of the heat source in the heat source data of the detection mass 502 of interest to the area 9 determined to correspond in step S53 (step S54).

  The cell conversion processing unit 85 determines whether m is the last cell number (step S55). When the determination in step S55 is No, the grid conversion processing unit 85 increases m by one (step S56). Then, steps S53 to S55 are repeated.

  If the determination in step S55 is Yes, the grid conversion processing unit 85 determines whether n is the last sensor number (step S57). When the determination in step S57 is No, the grid conversion processing unit 85 increases n by one (step S58). Then, steps S52 to S57 are repeated. If the determination in step S57 is Yes, the process in FIG. 19 ends.

  If the management apparatus 8 (or the detection apparatus 3) performs the process of FIG. 19 as a process of associating the area 9 with the square, and the square number m is converted into a square ID that does not overlap, the area ID of the area 9 It is possible to create a mass / region correspondence table for associating the mass ID with each other. Therefore, after the first control target device 1e is installed on the ceiling, the grid conversion processing unit 85 can convert the heat source data having a distorted shape into the heat source data of the area 9 with reference to the mass / area correspondence table.

FIG. 20 is a diagram illustrating the center coordinates O of the detection mass 502 detected by the thermopile sensor. The position (x _o , y ₀ ) of the thermopile sensor on the ceiling β is given, for example, with the corner of the ceiling as the origin (0, 0). A height Z of the ceiling β is also given. It is assumed that the depression angles θx and θy with respect to the floor of each thermopile sensor are given. θx is a depression angle in the X direction, and θy is a depression angle in the Y direction.

From these, the center coordinate O of the detection mass 502 detected by one thermopile sensor is given by (x ₀ −Ztan θx, y ₀ −Ztan θy). The depression angles θx and θy depend on the mounting angle of the detection device 3 to the first control target device 1e and the central angle of the detection direction given by the manufacturer of each thermopile sensor (an angle when installed perpendicular to the installation surface). It is determined. That is, since the center angle in the detection direction of each thermopile sensor is given by a manufacturer or the like, θx and θy can be obtained by adding the attachment angle δ of the detection device 3 to the first control target device 1e to this value. In the figure, θx and θy are shown in a state in which the attachment angle δ is included. The position (x ₀ , y ₀ ) of the thermopile sensor, the depression angles θx, θy, and the attachment angle δ are information related to the position of the detection mass 502 formed by the thermopile sensor.

  Since the coordinates of each region 9 are values obtained by equally dividing the size of the room α vertically and horizontally, it can be easily obtained when the size of the room α is given by a design drawing or actual measurement. Accordingly, the grid conversion processing unit 85 can determine where the center coordinate O of each thermopile is included in the region 9.

  Instead of comparing whether the center coordinates O of the detection mass 502 are included in the region 9, for example, it may be compared whether any one or more of the four corners of the detection mass 502 are included in the region 9. If it is determined whether or not all four corners are included in each region 9, the number of regions 9 with heat sources tends to increase, which is effective when it is desired to control the lighting, air conditioner, etc. by estimating the possibility that there are people. is there.

  Further, when calculating the center coordinate O of the detection mass 502, the height at which a person is present may be used instead of the height Z of the ceiling β. For example, the height where people are is about "Z-110cm". This makes it easy to associate the detection mass 502 with the area 9 where people are actually present.

  As described above, the heat source data obtained by the detection device 3 is actually obtained in a distorted shape, but can be converted into heat source data of each region 9 of the room α by the process of FIG.

  As described above, the process of FIG. 19 is a logical sum process in which it is determined that there is a heat source when at least one center coordinate of the detection mass 502 is included in a certain region 9. On the contrary, even if the center coordinates of two or more detection masses 502 are included in a certain region 9, the number of heat sources in the region 9 is one. This can reduce erroneous determination that there is no person in the area 9. For example, this process is useful when the area 9 is wide.

  The center coordinate O may be the center of gravity in addition to the center of one detection mass 502. Further, the center coordinate O may be within the range of the detection mass 502, not the center or the center of gravity. This is because the heat source can be detected within the range of the detection mass 502.

  Further, the processing of FIG. 19 may be performed by the detection device 3 in addition to the management device 8. Alternatively, the first control target device 1 may perform this.

<Generation of control data>
Next, generation of control data in step S28 in FIG. 12 will be described. FIG. 21 is a flowchart illustrating a flow of processing in which the generation unit 84 generates control data related to the light amount of the fluorescent lamp type LED lighting apparatus for the first control target device 1.

  The generation unit 84 takes out one unprocessed first control target device 1 (step S61). The unprocessed first control target device 1 is the first control target device 1 for which control data is not determined.

  Next, the production | generation part 84 refers to the heat source data of the area | region 9 with which the taken out 1st control object apparatus 1 exists (step S62). Since the device ID of the first control target device 1 is the same as the region ID, the presence / absence of the heat source can be read from the heat source data.

  And the production | generation part 84 judges whether there exists a heat source in the area | region 9 with the 1st control object apparatus 1 (step S63). That is, it is determined whether or not “1” is set in the heat source data.

  When the heat source of the region 9 in which the first control target device 1 is “1” (Yes in step S63), the generation unit 84 determines the light amount of the first control target device 1 read in step S10 as 100%. Control data is generated (step S64). This 100% is set in the control guideline management table.

  When the heat source in the region 9 where the first control target device 1 is not “1” (No in Step S63), that is, the heat source is “0”, the generation unit 84 reads the first control target device 1 read in Step S10. The amount of light is determined to be 60%, and control data is generated (step S65). This 60% is set in the control guideline management table.

  Next, the generation unit 84 determines whether or not control data has been generated for all the first control target devices 1 (step S66). When determination of step S66 is No, the production | generation part 84 returns to step S61 and repeatedly performs the process of steps S61-S65. When the determination in step S66 is Yes, the generation unit 84 ends the process illustrated in FIG.

  In this way, the control data of the first control target device 1 that is a fluorescent lamp type LED lighting apparatus can be generated based on the presence or absence of a heat source (presence or absence of a person) for all the first control target devices 1.

  FIG. 22 is a flowchart illustrating a flow of processing in which the generation unit 84 generates control data for the air conditioner for the second control target device 2.

  The generation unit 84 takes out one unprocessed second control target device 2 (step S71). The unprocessed second control target device 2 is the second control target device 2 for which control data has not been determined.

  Next, the generation unit 84 refers to the control area management table and specifies an area ID associated with the second control target device 2 (step S72).

  Next, the production | generation part 84 receives the heat source data of the area | region 9 specified by step S72 (step S73). The heat source data is transmitted from the detection device 3 in step S24 of FIG. And the production | generation part 84 calculates a human density (human presence / absence) as mentioned above (step S74).

  Next, the production | generation part 84 receives the detection data of the area | region 9 specified by step S72 (step S75). The detection data is transmitted from the detection device 3 in step S24 of FIG.

  The generation unit 84 calculates an environmental value based on the detection data (step S76). Specifically, the generation unit 84 calculates the average of the temperature data of the region 9 specified in step S62 and sets it as the environmental value. Moreover, since only one detection device 3 detects the humidity, the generation unit 84 sets the value as the environmental value. That is, the average of temperature data and humidity data are environmental values. In addition, illuminance data may be included in the environmental value.

  Next, the production | generation part 84 performs the air-conditioning setting with respect to an air conditioner based on a human density and an environmental value (step S77).

  Here, FIG. 23 is a flowchart showing the flow of the air conditioning setting process. As shown in FIG. 23, the generation unit 84 determines whether or not the human density calculated in step S74 and the environmental values (temperature data average and humidity data) calculated in step S76 exceed respective predetermined thresholds. (Step S81).

  The generation unit 84 determines that it is not necessary to change the air conditioning setting when neither the human density nor the environmental value (temperature data average, humidity data) exceeds the predetermined threshold (No in step S81). End the process.

  On the other hand, when at least one of the human density and the environmental value (temperature data average, humidity data) exceeds a predetermined threshold (Yes in step S81), the generation unit 84 starts measuring time (step S82).

  If the time t1 is less than the waiting time T (No in step S83), the generation unit 84 determines whether the human density and the environmental value (average of temperature data, humidity data) remain above the threshold. (Step S84).

  The generation unit 84 determines that it is not necessary to change the air conditioning setting when the human density and the environmental value (average of temperature data, humidity data) change to a state where the threshold value is not exceeded (No in step S84), and the process is performed. finish.

  On the other hand, when the human density and the environmental value (average of temperature data, humidity data) still exceed the threshold (Yes in Step S84), the generation unit 84 returns to Step S83 and continues timing.

  When the time t1 has reached the waiting time T (Yes in step S83), the generation unit 84 has at least one of human density and environmental values (average of temperature data, humidity data) exceeding a predetermined threshold value. Therefore, it is determined that it is necessary to change the air conditioning setting for the air conditioner.

  Subsequently, the generation unit 84 changes the air conditioning setting (step S85) and ends the process. Specifically, the generation unit 84 acquires a control guideline associated with the human density and the environmental value from the control guideline management table. The generation unit 84 first calculates the temperature gap between the current target value of temperature and the environmental value (average of temperature data). The target value is known because it is a value controlled by the generation unit 84. Next, the production | generation part 84 reads the control guideline corresponding to a human density, a temperature gap, and humidity, and makes it the control data of the 2nd control object apparatus 2. FIG.

  Thus, the air conditioning setting process in step S77 ends.

  Here, a specific example of air conditioning setting will be described. Here, FIG. 24 is a diagram showing a specific example of air conditioning setting. As shown in the second control guideline management table of FIG. 24, when the temperature gap is T1 ° C. to T2 ° C. and the humidity is H1% or more, the human density is a value between M2 and M3. In this case, the air conditioning setting is a setting of B “± 0 ° C., cooling, weak wind” in FIG. Thereafter, when the human density changes to a value between M4 and M5, the generation unit 84 does not immediately change the air conditioning setting to A “−2 ° C., cooling, strong wind” in FIG. In the present embodiment, when the temperature gap is T1 ° C. to T2 ° C., the humidity is H1% or more, and the human density is M4 to M5 and the environmental state is kept for the waiting time T or more, the generating unit 84 The setting is changed to A “-2 ° C., cooling, strong wind” in FIG.

  Compared to ON / OFF of the lighting device, air conditioners such as air conditioners provide comfort to people through the air, so there is less direct irritation and delays in minutes are acceptable. I think it is possible.

  Moreover, by carrying out air conditioning control using environmental values (average of temperature data, humidity data), even in a greatly deviating environment, by setting the air conditioning settings strongly, an appropriate environment is quickly approached.

  Returning to FIG. 22, the generation unit 84 determines whether control data has been generated for all the second control target devices 2 (step S <b> 78). When the determination in step S78 is No, the generation unit 84 returns to step S71 and repeatedly executes the processes in steps S71 to S77. When the determination in step S78 is Yes, the generation unit 84 ends the process illustrated in FIG.

  In this way, the control data of the second control target device 2 that is an air conditioner can be generated for all the second control target devices 2 based on the human density and the environmental value.

  As described above, according to the present embodiment, by changing the air conditioning setting for the air conditioner such as the air conditioner according to the detected values of the human density, the temperature gap, and the humidity, a space with less temperature variation can be obtained. Can be provided. In addition, when changing the air conditioning setting for an air conditioner such as an air conditioner, by changing the air conditioning setting on condition that the environmental state of the environmental information indicating the change destination continues for a certain period of time, It is possible to suppress useless air-conditioning setting changes and reduce the change frequency.

  As a result, it is possible to solve the demerit that the deterioration over time is accelerated due to frequent occurrence of setting changes to the air conditioner such as an air conditioner. In addition, when the refrigerant is repeatedly turned on and off as the air conditioning setting is changed, the amount of power consumed at startup is higher than that when the refrigerant operates stably. Electric power can be suppressed.

(Second Embodiment)
Next, a second embodiment will be described. The same parts as those in the first embodiment described above are denoted by the same reference numerals, and description thereof is also omitted.

  In the first embodiment, when changing the air conditioning setting for the air conditioner, the air conditioning setting is changed on condition that the environmental state of the environmental information indicating the change destination continues for a certain period of time. By the way, it is known that as the air conditioning setting of the air conditioner approaches the temperature at which the air conditioning setting becomes stable, the fluctuation of the environmental value decreases and the threshold value tends to be changed.

  Therefore, in the second embodiment, as the air conditioning setting of the air conditioner approaches a stable temperature, the standby time is set longer and used for determination.

  Here, FIG. 25 is a flowchart showing the flow of the air conditioning setting process according to the second embodiment. As shown in FIG. 25, the generation unit 84 determines whether or not the human density calculated in step S74 and the environmental values (temperature data average and humidity data) calculated in step S76 exceed respective predetermined thresholds. (Step S81).

  The generation unit 84 determines that it is not necessary to change the air conditioning setting when neither the human density nor the environmental value (temperature data average, humidity data) exceeds the predetermined threshold (No in step S81). End the process.

  On the other hand, when at least one of the human density and the environmental value (temperature data average, humidity data) exceeds a predetermined threshold (Yes in step S81), the generation unit 84 starts measuring time (step S82).

  If the time t1 is less than the preset value γ (No in step S91), the generation unit 84 determines whether the human density and the environmental values (average of temperature data, humidity data) remain above the threshold value. Is determined (step S84).

  Here, the preset value γ will be described. FIG. 26 is a diagram illustrating a specific example of air conditioning settings. According to the example shown in the second control guideline management table of FIG. 26, the air conditioning setting values are different matrices according to the human density and the environmental values (temperature data average, humidity data). Further, according to the example shown in the second control guideline management table of FIG. 26, a preset value γ is defined as a standby time for transition between the air conditioning setting values.

  For example, from the air conditioning setting state of “A” where the temperature gap is T1 or more and less than T2, the humidity is less than H1% and the human density is M4 or more and less than M5, the humidity exceeds H1% and the air conditioning setting is “B”. A case where the change is made will be described. In this case, like the cell “C”, the generation unit 84 changes the air conditioning setting to “B” after a preset time of γ = 600 sec.

  In general, the fluctuation decreases as the target environment is approached, but the frequency of going back and forth between the boundary values in the second control guide management table increases. Therefore, as shown in the second control guideline management table of FIG. 26, in this embodiment, as a preset value γ, a standby time (D → A: γ = 750 sec) at the time of setting change in a greatly deviated environment. ), The standby time (A → E: γ = 1200 sec) when changing the setting near the target environment is set longer.

  The generation unit 84 determines that it is not necessary to change the air conditioning setting when the human density and the environmental value (average of temperature data, humidity data) change to a state where the threshold value is not exceeded (No in step S84), and the process is performed. finish.

  On the other hand, when the human density and the environmental value (average of temperature data, humidity data) still exceed the threshold (Yes in Step S84), the generation unit 84 returns to Step S83 and continues timing.

  When the time t1 reaches the preset value γ (Yes in Step S91), the generation unit 84 determines that at least one of the human density and the environmental value (average of temperature data, humidity data) is a predetermined value. Since the state in which the threshold value is exceeded continues for a preset value γ, it is determined that it is necessary to change the air conditioning setting for the air conditioner.

  Subsequently, the generation unit 84 changes the air conditioning setting (step S85) and ends the process.

  As described above, according to the present embodiment, it is possible to set a certain time for each transition between control guideline information set according to the environment information, and by setting the certain time longer as the fluctuation of the environment information becomes smaller, Further change frequency can be reduced.

(Third embodiment)
Next, a third embodiment will be described. In addition, the same part as 1st Embodiment mentioned above and 2nd Embodiment is shown with the same code | symbol, and description is also abbreviate | omitted.

  In the first embodiment, when changing the air conditioning setting for the air conditioner, the air conditioning setting is changed on condition that the environmental state of the environmental information indicating the change destination continues for a certain period of time. In the second embodiment, as the air conditioning setting of the air conditioner approaches a stable temperature, the standby time is set longer and used for determination. By the way, even if the human density and the environmental values (average of temperature data, humidity data) are different, the air conditioning setting values may be the same.

  Therefore, in the third embodiment, only when the air conditioning setting values are different, the time measurement is executed to change the air conditioning settings.

  Here, FIG. 27 is a flowchart showing a flow of air conditioning setting processing according to the third embodiment. As illustrated in FIG. 27, the generation unit 84 determines whether or not the human density calculated in step S74 and the environmental values (temperature data average and humidity data) calculated in step S76 exceed respective predetermined thresholds. (Step S81).

  The generation unit 84 determines that it is not necessary to change the air conditioning setting when neither the human density nor the environmental value (temperature data average, humidity data) exceeds the predetermined threshold (No in step S81). End the process.

  On the other hand, if at least any one of the human density and the environmental value (temperature data average, humidity data) exceeds a predetermined threshold (Yes in step S81), the generation unit 84 changes the setting of the air conditioner. It is determined whether or not (step S92).

  According to the example shown in the second control guideline management table of FIG. 26, when the humidity value exceeds the threshold value H1 and the state of the air conditioning setting “A” is changed to the air conditioning setting “B”, the air conditioning setting value is Since it is the same, the production | generation part 84 determines with the setting of an air conditioning apparatus not changing.

  If it is determined that the setting of the air conditioner is not changed (No in step S92), the generation unit 84 determines that the air conditioning setting does not need to be changed, and ends the process.

  If it is determined that the setting of the air conditioner is to be changed (Yes in step S92), the generation unit 84 starts measuring time (step S82).

  If the time t1 is less than the preset value γ (No in step S91), the generation unit 84 determines whether the human density and the environmental values (average of temperature data, humidity data) remain above the threshold value. Is determined (step S84).

  The generation unit 84 determines that it is not necessary to change the air conditioning setting when the human density and the environmental value (average of temperature data, humidity data) change to a state where the threshold value is not exceeded (No in step S84), and the process is performed. finish.

  On the other hand, when the human density and the environmental value (average of temperature data, humidity data) still exceed the threshold (Yes in Step S84), the generation unit 84 returns to Step S83 and continues timing.

  When the time t1 reaches the preset value γ (Yes in Step S91), the generation unit 84 determines that at least one of the human density and the environmental value (average of temperature data, humidity data) is a predetermined value. Since the state in which the threshold value is exceeded continues for a preset value γ, it is determined that it is necessary to change the air conditioning setting for the air conditioner.

  Subsequently, the generation unit 84 changes the air conditioning setting (step S85) and ends the process.

  As described above, according to the present embodiment, when the control guideline information set in advance for the environmental information newly exceeding the predetermined threshold is changed from the current control guideline information, it is determined to continue for a certain period of time. By doing so, unnecessary processing is not executed.

<Other application examples>
The best mode for carrying out the present invention has been described above with reference to the embodiments. However, the present invention is not limited to these embodiments, and various modifications can be made without departing from the scope of the present invention. And substitutions can be added.

For example, the detection data of the present embodiment is heat source data, temperature / humidity data, and illuminance data, but information such as CO ₂ concentration, odors, viruses, and bacteria may be detected.

  Moreover, although the 1st control object apparatus 1 demonstrated that it was a fluorescent lamp type LED by this Embodiment, the 1st control object apparatus 1 should just be an illuminating device, and the light emission principle is not restricted to LED. For example, an incandescent bulb, a fluorescent lamp, a halogen bulb, a high-intensity discharge, or the like may be used, but the invention is not limited to these.

  Further, in the present embodiment, it has been described that the second control target device 2 is an air conditioner. However, the second control target device 2 may be any device that affects the temperature and humidity to be experienced, and the air conditioner includes a so-called heat pump. Not limited. For example, a simple blower, a dehumidifier, a humidifier, an air cleaner, various heaters, or the like may be used, but the invention is not limited to these.

  In the present embodiment, the presence or absence of a person is determined by the temperature distribution sensor 311. However, the presence or absence of an animal other than a person may be determined. An animal or a robot can be detected by generating heat. Further, an infrared camera may be used as the temperature distribution sensor 311. In this case, a moving body can be detected by image processing, or a person, an animal, or the like can be detected by infrared rays.

  Moreover, the detection apparatus 3 may be arrange | positioned in places other than fluorescent lamps, such as a vent hole of an air-conditioner and a fire alarm, besides mounting | wearing with the 1st control object apparatus 1 as a fluorescent lamp.

  6 and the like are divided according to main functions in order to facilitate understanding of processing by the device control system 100, the first control target device 1, and the second control target device 2. . The present invention is not limited by the way of dividing the processing unit or the name. Moreover, the process of the apparatus control system 100, the 1st control object apparatus 1, and the 2nd control object apparatus 2 can also be divided | segmented into more process units according to the processing content. Moreover, it can also divide | segment so that one process unit may contain many processes.

  In addition, the device control system 100 may have a plurality of management devices 8, and the functions of the management device 8 may be distributed and installed in a plurality of servers.

  One or more of the databases that the management device 8 has in the storage unit 8000 may exist on the communication network N.

DESCRIPTION OF SYMBOLS 1 Illuminating device 3 Environmental information acquisition apparatus 8 Control apparatus 81 Receiving means 84 Control data generation means 100 Equipment control system

JP2015-132443A

Claims (7)

In a control device that controls an air conditioner in the predetermined space by communicating with an environmental information acquisition device that acquires environmental information related to the environment in the predetermined space.
Receiving means for receiving the environmental information from the environmental information acquisition device;
Control data generating means for generating control data of the air conditioner based on control guideline information set in advance for the environmental information on condition that the state where the environmental information exceeds a predetermined threshold has continued for a certain period of time When,
A control device comprising: The control data generating means can set the fixed time for each transition of the control guide information set according to the environment information, and sets the fixed time longer as the fluctuation of the environment information becomes smaller.
The control device according to claim 1. The control data generation unit determines to continue for a certain period of time when the control guideline information preset for the environmental information newly exceeding a predetermined threshold is changed from the current control guideline information. ,
The control device according to claim 1, wherein the control device is a control device. The environmental information includes the surface temperature of an object or person in the predetermined space,
The control data generation means generates the control data of the air conditioner based on the surface temperature and the control guide information.
The control device according to claim 1, wherein the control device is a control device. The environmental information includes information indicating the presence or absence of a heat source for each area of the predetermined space,
The control data generating means generates the control data of the air conditioner based on the human density calculated using information indicating the presence or absence of the heat source and the control guide information.
The control device according to claim 1, wherein the control device is a control device. An environmental information acquisition device for acquiring environmental information relating to the environment of the predetermined space;
The control device according to any one of claims 1 to 5, wherein the control device controls the air conditioner in the predetermined space by communicating with the environmental information acquisition device;
A device control system comprising: A computer that controls an air conditioner in the predetermined space by communicating with an environment information acquisition device that acquires environmental information related to the environment in the predetermined space;
Receiving means for receiving the environmental information from the environmental information acquisition device;
Control data generating means for generating control data of the air conditioner based on control guideline information set in advance for the environmental information on condition that the state where the environmental information exceeds a predetermined threshold has continued for a certain period of time When,
Program to function as.

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