JP2014089841A - Illumination control device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To control an illumination apparatus properly so that spatial illuminance distribution is brought closer to target illuminance distribution even when the characteristic of the illumination apparatus changes.SOLUTION: Provided is an illumination control device comprising: a first control unit 232 for changing the emission intensity of at least one of a plurality of LED illumination apparatuses 500 dispersedly arranged in a room which is an area subject to control, thereby changing the distribution of emission intensity by the plurality of LED illumination apparatuses 500; a calculation unit 234 for calculating, on the basis of the measurement result of illuminance distribution in the room measured for each of a plurality of emission intensity distribution, an illuminance contribution rate representing the degree of effect on illuminance at each position in the room exerted by each of the plurality of LED illumination apparatuses 500; and a second control unit 235 for controlling, on the basis of the calculated illuminance contribution rate, the emission intensity of the plurality of LED illumination apparatuses 500 so that illuminance distribution in the room equals the target illuminance distribution.

Description

  The present invention relates to a lighting control device and a program.

  2. Description of the Related Art Conventionally, a technique for controlling a lighting device so that the illuminance distribution of a space illuminated by the lighting device approaches a target illuminance distribution is known (see, for example, Patent Document 1). Japanese Patent Application Laid-Open No. 2004-228688 estimates a illuminance distribution of a space by the lighting device from the basic characteristics of the lighting device and the current emission intensity, and determines a control amount for the lighting device based on the estimated illuminance distribution and the target illuminance distribution. Is disclosed.

  However, in the technique described in Patent Literature 1, in order to estimate the illuminance distribution of the space by the lighting device based on the basic characteristics (light distribution characteristics and motion characteristics) of the lighting device that have been examined and stored as information, for example, If the characteristics of individual lighting equipment fluctuate due to deterioration or replacement of the lighting equipment over time, the illuminance distribution in the space cannot be estimated correctly, and control for bringing the illuminance distribution in the space closer to the target illuminance distribution is stabilized. Can not be done.

  The present invention has been made in view of the above, and an illumination control apparatus capable of appropriately controlling an illumination device so that the illuminance distribution in the space approaches the target illuminance distribution even when the characteristics of the illumination device fluctuate, and The main purpose is to provide a program.

  In order to solve the above-described problems and achieve the object, an illumination control apparatus according to the present invention changes a plurality of illumination devices by changing at least one light emission intensity of the plurality of illumination devices distributed in space. Based on the measurement result of the illuminance distribution in the space measured for each of the plurality of luminescence intensity distributions, the individual illumination devices are illuminance at each position in the space A calculation unit that calculates an illuminance contribution rate that represents a degree of influence on the light source, and a second unit that controls the light emission intensities of the plurality of lighting devices based on the illuminance contribution rate so that the illuminance distribution in the space becomes the target illuminance distribution And a control unit.

  Further, the program according to the present invention has a function of changing at least one light emission intensity of a plurality of lighting devices distributed in space in a computer, thereby changing a light emission intensity distribution by the plurality of lighting devices. A function of calculating an illuminance contribution ratio that represents the degree of influence of each lighting device on the illuminance at each position in the space, based on the measurement result of the illuminance distribution of the space measured for each of the emission intensity distributions of Based on the illuminance contribution rate, a function of controlling the light emission intensity of the plurality of lighting devices so that the illuminance distribution in the space becomes the target illuminance distribution is realized.

  According to the present invention, since the light emission intensity of a plurality of lighting devices is controlled based on the illuminance contribution rate of each lighting device, the illuminance distribution in the space is brought closer to the target illuminance distribution even if the characteristics of the lighting device fluctuate. There is an effect that the lighting device can be appropriately controlled.

FIG. 1 is a network configuration diagram of the device control system of the present embodiment. FIG. 2 is a diagram in which a smartphone and a sensor are mounted and defined. FIG. 3 is a diagram illustrating an example in which an information device capable of detecting human movement is mounted separately from a smartphone. FIG. 4 is a diagram illustrating a direction detected by each sensor. FIG. 5 is a diagram illustrating an example of an installation state of the monitoring camera. FIG. 6 is a diagram illustrating an example of an installation state of LED lighting devices, taps, air conditioners, and illuminance sensors. FIG. 7 is a block diagram illustrating a functional configuration of the positioning server device. FIG. 8 is a diagram illustrating waveforms of acceleration components in the vertical direction when the sitting operation and the standing operation are performed. FIG. 9 is a diagram illustrating a waveform of the angular velocity component in the horizontal direction when the squatting operation and the standing operation are performed, respectively. FIG. 10 is a diagram illustrating a waveform of the angular velocity component in the vertical direction when the operation of changing the direction in a stationary state is performed. FIG. 11 is a diagram illustrating a waveform of the angular velocity component in the horizontal direction of the head when the eye is removed from the display in the seated state. FIG. 12 is a diagram illustrating a waveform of the horizontal angular velocity component of the head when the line of sight is removed from the display in a sitting state. FIG. 13 is a block diagram illustrating a functional configuration of the control server device according to the present embodiment. FIG. 14 is a flowchart showing a procedure of detection processing by the positioning server device of the present embodiment. FIG. 15 is a flowchart illustrating a procedure of device control processing by the outlet control unit and the air conditioner control unit of the present embodiment. FIG. 16 is a block diagram in which a portion related to the lighting device control unit is extracted from the configuration of the device control system of the present embodiment. FIG. 17 is a flowchart illustrating an outline of processing performed by the lighting device control unit of the present embodiment. FIG. 18 is a diagram illustrating a plurality of areas divided according to the position of the LED lighting device. FIG. 19 is a diagram for explaining an example of a method for calculating area coordinate information. FIG. 20 is a flowchart illustrating a procedure of stay area determination processing. FIG. 21 is a flowchart illustrating a procedure of target illuminance distribution setting processing. FIG. 22 is a flowchart illustrating a procedure of illuminance contribution rate calculation processing. FIG. 23 is a diagram illustrating an example of a control signal transmitted by the first control unit in order to change the emission intensity distribution. FIG. 24 is a diagram illustrating an example of the illuminance contribution table.

  Embodiments of a lighting control device and a program according to the present invention will be described below in detail with reference to the accompanying drawings. Hereinafter, the lighting control device according to the present invention is applied to various devices provided in the room according to the position of a person (hereinafter referred to as an employee) who performs a specific business activity in the room that is the control target area. An example will be described in which the device is realized as a part of a device control system that controls power. In addition, the form which can be implemented is not restricted to such an apparatus control system.

  FIG. 1 is a network configuration diagram of the device control system of the present embodiment. As shown in FIG. 1, the device control system of the present embodiment includes a plurality of smartphones 300, a plurality of monitoring cameras 400, a plurality of illuminance sensors 800, a positioning server device 100, a control server device 200, and a control target. A plurality of LED (Light Emitting Diode) lighting devices 500, a plurality of taps 600, and a plurality of air conditioners 700.

  The plurality of smartphones 300, the plurality of monitoring cameras 400, and the positioning server device 100 are connected by a wireless communication network such as Wi-Fi (Wireless Fidelity), for example. Note that the wireless communication method is not limited to Wi-Fi. Moreover, the monitoring camera 400 and the positioning server apparatus 100 may be connected with a wire.

  The positioning server device 100 and the control server device 200 are connected to a network such as the Internet or a LAN (Local Area Network).

  In addition, the control server device 200, the plurality of LED lighting devices 500, the plurality of taps 600, and the plurality of air conditioners 700 are connected by a wireless communication network such as Wi-Fi, for example. In addition, the plurality of illuminance sensors 800 and the control server device 200 are connected via a wireless communication network such as Wi-Fi, for example.

  Note that the communication method between the control server device 200, the plurality of LED lighting devices 500, the plurality of taps 600, the plurality of air conditioners 700, and the plurality of illuminance sensors 800 is not limited to Wi-Fi. In addition to using a wireless communication system, a wired communication system such as an Ethernet (registered trademark) cable or a PLC (Power Line Communications) can also be used.

  The smartphone 300 is an information device that is carried by the employee and detects the operation of the employee. FIG. 2 is a diagram illustrating a wearing state of the smartphone 300. The smartphone 300 may be worn on the employee's waist as shown in FIG.

  Returning to FIG. 1, each of the smartphones 300 is equipped with an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor, and transmits detection data from each sensor to the positioning server device 100 at regular intervals such as 1 second. Yes. Here, the detection data of the acceleration sensor is an acceleration vector. The detection data of the angular velocity sensor is an angular velocity vector. The detection data of the geomagnetic sensor is a magnetic orientation vector.

  In the present embodiment, the smartphone 300 is used as an information device that detects an employee's operation. However, if the information device includes an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor, the smartphone 300 can be used. It is not limited to portable terminals such as.

  In addition, the smartphone 300 is provided with information devices that detect an employee's operation such as an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor, and the information device that detects the operation of the subordinate is separated from the smartphone 300. May be.

  For example, FIG. 3 is a diagram illustrating an example in which an information device capable of detecting an employee's operation is mounted separately from the smartphone 300. As illustrated in FIG. 3, separately from the smartphone 300, a small headset type sensor group 301 including an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor can be attached to the head. In this case, the detection data detected by the sensor group 301 can be transmitted directly to the positioning server device 100 via the smartphone 300 in addition to being directly transmitted to the positioning server device 100 by the sensor group 301. As described above, by attaching the sensor group 301 to the employee's head separately from the sensors of the smartphone 300, various posture detections can be performed.

  FIG. 4 is a diagram illustrating a direction detected by each sensor. FIG. 4A shows directions detected by the acceleration sensor and the geomagnetic sensor. As shown in FIG. 4A, the acceleration sensor and the geomagnetic sensor can detect the traveling direction, the vertical direction, the horizontal direction acceleration component, and the geomagnetic direction component, respectively. FIG. 4B shows an angular velocity vector A detected by the angular velocity sensor. Here, the arrow B indicates the positive direction of the angular velocity. In the present embodiment, the projection of the angular velocity vector A onto the traveling direction, the vertical direction, and the horizontal direction shown in FIG. 4A is considered, and the angular velocity component in the traveling direction, the angular velocity component in the vertical direction, and the angular velocity component in the horizontal direction, respectively. That's it.

  Returning to FIG. 1, the monitoring camera 400 images a room that is a control target area, and is installed near the upper part of the room, for example. FIG. 5 is a diagram illustrating an example of an installation state of the monitoring camera 400. In the example of FIG. 5, the surveillance cameras 400 are installed at two locations near the door in the room, but the present invention is not limited to this. The monitoring camera 400 images a room that is a control target area, and transmits the captured image (captured video) to the positioning server device 100.

  Returning to FIG. 1, in the present embodiment, the illumination system, the tap system, and the air conditioning system are targeted for power control. A plurality of LED lighting devices 500 as a lighting system, a plurality of taps 600 as a tap system, and a plurality of air conditioners 700 as an air conditioning system are targeted for power control.

  The plurality of LED lighting devices 500, the plurality of taps 600, and the plurality of air conditioners 700 are installed in a room (space) that is a control target area. Further, in order to appropriately control the plurality of LED lighting devices 500 by measuring the illuminance distribution in the room, illuminance sensors 800 are respectively installed at a plurality of locations in the room. FIG. 6 is a diagram illustrating an example of installation states of the LED lighting device 500, the tap 600, the air conditioner 700, and the illuminance sensor 800.

  As shown in FIG. 6, one group is formed by six desks in the room, and three groups are provided. One tap 600 is provided for each desk. In addition, the LED lighting device 500 includes two LED lamps as one set, and is provided for each of two desks facing each other. On the other hand, one air conditioner 700 is provided between the two groups. In addition, arrangement | positioning of such LED lighting apparatus 500, the tap 600, and the air conditioner 700 is an example, and is not limited to the example shown in FIG.

  Further, for example, as shown in FIG. 6, one illuminance sensor 800 is provided for each LED lighting device 500. The illuminance sensor 800 may be attached to the LED lighting device 500 itself, or may be installed on a desk directly below the LED lighting device 500. Note that the illuminance sensor 800 is not limited to the example shown in FIG. 6 as long as the illuminance distribution in the room can be measured. However, if the illuminance sensor 800 is attached to the LED lighting device 500 itself, the illuminance sensor 800 does not hinder the work of the operator, which is advantageous in effectively utilizing the space.

  Although not shown in FIG. 6, the sum total information of the total power in the room according to the present embodiment can be grasped by the grid power measuring device installed outside the room.

  Inside the room, 18 employees are carrying out specific business activities, and entering and exiting the room is done through two doors. In the present embodiment, the layout, devices, the number of users, and the like are limited, but the present invention can be applied to a wider variety of layouts and devices. Furthermore, the present invention can be widely extended and applied to the arbitraryness in scalability of the space scale and the number of users, and the arbitraryness in the user attribute and the type of business involved when viewed in individual units or group units. Moreover, this embodiment may be applied not only to indoor spaces as shown in FIGS.

  Note that the positioning server device 100 and the control server device 200 of the present embodiment are installed outside the rooms shown in FIGS. In the present embodiment, the positioning server device 100 and the control server device 200 are not subject to power control, but these may be subject to power control.

  In this embodiment, network devices such as Wi-Fi access points, switching hubs, and routers that constitute a communication network system are not subject to power control, but can also be subject to power control. is there.

  Note that the amount of power consumed by these network devices is the amount of power obtained by dividing the total power consumption of the LED lighting device 500, the air conditioner 700, and the tap 600 from the total power consumption measured by the system power measurement device. Can be calculated.

  Each of the plurality of LED lighting devices 500, the plurality of taps 600, and the plurality of air conditioners 700 is remotely controlled by the control server device 200 via a network.

  That is, the LED lighting device 500 is remotely controlled by the control server device 200 to turn on / off the power source and emit light intensity. Specifically, the LED lighting device 500 is provided with an on / off switch that can be individually controlled remotely, and the on / off control is performed by the control server device 200 by a wireless control method using Wi-Fi. The LED lighting device 500 uses an LED lamp with a dimming function in consideration of low power consumption, and can control the emission intensity by changing the dimming level, and the dimming level (emission intensity) ) Also enables a remote control via Wi-Fi.

  Note that the illumination system is not limited to the LED lighting device 500, and for example, an incandescent lamp or a fluorescent lamp can be used as long as the emission intensity can be controlled.

  The air conditioner 700 is remotely controlled by the control server device 200 to turn on and off the power. That is, the air conditioner 700 can be individually controlled remotely, and the control targets are the air direction and the air blowing intensity in addition to the on / off of the air conditioner 700. In this embodiment, although control is not performed about the temperature and humidity which ventilate, it is not limited to this, Temperature and humidity can also be made into a control object.

  The tap 600 includes a plurality of tap openings, and the power supply on / off of each tap opening is remotely controlled by the control server device 200. That is, the tap 600 is provided with an on / off switch that can be remotely controlled individually for each tap opening. The tap 600 is configured as a communication-type tap that communicates with the control server device 200, and on / off control is performed by the control server device 200 by a wireless control method using Wi-Fi. The number of tap openings included in one tap 600 can be any number, but as an example, a structure in which one tap is constituted by four tap openings can be used.

  As shown in FIG. 6, one tap 600 is installed on each desk. The tap 600 can be connected to an electrical device (not shown), specifically, a desktop PC (personal computer), a display device, a notebook PC, a printer device, a charger for charging the battery of the smartphone 300, and the like. It is.

  In the present embodiment, a power source of a display device, which is a device in which a direct relationship with a person is important, is connected to the tap opening of the tap 600. The display device is a device that can be controlled by turning on / off the power supplied to the tap port by the control server device 200.

  When a desktop PC main body or a printer device is connected to the tap 600, the control server device 200 cannot control the power supplied to the tap port on / off due to the configuration of the device. For this reason, for desktop PCs, control software can be controlled by installing control software that can shift to the power saving mode or shutdown via the network, and return from the power saving mode or shutdown state. Is a manual operation by the user himself.

  Further, when a charger for charging the battery of the smartphone 300 or a notebook PC at the time of charging is connected to the tap 600, it is always turned on in consideration of convenience. Note that devices connected to the tap opening of the tap 600 are not limited to these.

  Returning to FIG. 1, the positioning server device 100 receives the detection data of each sensor described above from each smartphone 300 possessed by the employee staying in the room that is the control target area, and the employee possessing each smartphone 300. The absolute position, direction, posture, etc. in the room are detected. Then, the positioning server device 100 transmits to the control server device 200 position information indicating the detected absolute position of the employee and operation information indicating the direction and posture of the employee.

  FIG. 7 is a block diagram showing a functional configuration of the positioning server device 100. As shown in FIG. 7, the positioning server device 100 mainly includes a communication unit 101, a position specifying unit 102, an operation state detection unit 103, a correction unit 104, and a storage unit 110.

  The storage unit 110 is a storage medium such as a hard disk drive (HDD) or a memory, and stores various information necessary for processing of the positioning server device 100 such as indoor map data that is a control target area.

  The communication unit 101 receives detection data of an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor mounted on the smartphone 300 from each smartphone 300 possessed by an employee staying indoors at regular time intervals. When the employee wears the sensor group 301 separately from the smartphone 300, the detection data of the acceleration sensor, the angular velocity sensor, and the geomagnetic sensor of the sensor group 301 are also received. That is, the communication unit 101 receives, from each smartphone 300 possessed by an employee staying in the room, an acceleration vector that is detection data of the acceleration sensor according to the operation of the employee, an angular velocity vector that is detection data of the angular velocity sensor, and geomagnetism. Each of the magnetic azimuth vectors which are detection data of the sensor is received.

  In addition, the communication unit 101 receives a captured image from the monitoring camera 400. Furthermore, the communication unit 101 transmits position information indicating the absolute position of the employee in the room and operation information indicating the direction and posture of the employee to the control server device 200.

  The position specifying unit 102 analyzes the detection data received from the smartphone 300 and specifies the absolute position of the employee in the room with the accuracy of the human shoulder width or stride. Details of the method for specifying the absolute position of the employee by the position specifying unit 102 will be described later.

  The operation state detection unit 103 analyzes the detection data received from the smartphone 300 and detects the operation state of the employee. In the present embodiment, the operation state detection unit 103 detects whether the employee is in a stationary state or a walking state as the operation state. In addition, when the operation state is a stationary state, the operation state detection unit 103 detects the direction of the employee with respect to the device in the control target area based on the detection data, and further determines whether the employee's posture is the standing state. Detect whether you are seated.

  That is, when it is detected from the captured image from the monitoring camera 400 that the employee has entered the room through the door, the operation state detection unit 103 detects the acceleration sensor, the angular velocity sensor, and the like of the smartphone 300 attached to the employee who has entered the room. Using the time series data of the acceleration vector and the angular velocity vector among the detection data sequentially received from the acceleration sensor, the angular velocity sensor, and the geomagnetic sensor of the sensor group 301 separate from the geomagnetic sensor or the smartphone 300, the employee's It is sequentially determined whether the operation state is a walking state or a stationary state. Here, the method of determining whether the employee's motion state is the walking state using the acceleration vector and the angular velocity vector can be realized by, for example, processing by a dead reckoning device disclosed in Japanese Patent No. 4243684. Then, when it is determined that the person is not in a walking state by this method, the operation state detection unit 103 can determine that the person is in a stationary state.

  More specifically, the operation state detection unit 103 can detect a human operation state as follows, similarly to the processing by the dead reckoning device disclosed in Japanese Patent No. 4243684.

  That is, the operation state detection unit 103 obtains a gravitational acceleration vector from the acceleration vector received from the acceleration sensor and the angular velocity vector received from the angular velocity sensor, subtracts the gravitational acceleration vector from the acceleration vector, and removes the vertical acceleration. Obtain time-series data of residual acceleration components. Then, the motion state detection unit 103 performs principal component analysis on the time-series data of the residual acceleration component to obtain the traveling direction of the walking motion. Furthermore, the motion state detection unit 103 searches for a pair of peak and valley peaks of the acceleration component in the vertical direction, and searches for a pair of valley peak and peak of the acceleration component in the traveling direction. Then, the operation state detection unit 103 calculates the gradient of the acceleration component in the traveling direction.

  Furthermore, the operation state detection unit 103 determines whether or not the gradient of the acceleration component in the traveling direction is equal to or greater than a predetermined value at the detection time of the valley peak at which the vertical acceleration component changes from the peak to the peak. And when it is more than a predetermined value, it determines with an operating condition of an employee being a walking state.

  On the other hand, in the above processing, a peak-to-valley peak pair in the vertical acceleration component is not searched, or a trough peak-to-peak peak pair in the traveling acceleration component is not searched, or a vertical acceleration is detected. When the gradient of the acceleration component in the traveling direction is less than a predetermined value at the time of detection of the valley peak at which the component changes from the peak to the valley peak, the movement status detection unit 103 indicates that the movement status of the employee is stationary. It is determined that it is in a state.

  When it is determined that the employee is in a stationary state, the position specifying unit 102 uses the acceleration vector, the angular velocity vector, and the magnetic orientation vector as a reference position, and determines that the employee is in a stationary state from the reference position. A relative movement vector to the determined position is obtained. Here, as a calculation method of the relative movement vector using the acceleration vector, the angular velocity vector, and the magnetic azimuth vector, for example, a method disclosed in the processing of the dead reckoning device disclosed in Japanese Patent Application Laid-Open No. 2011-47950 can be used.

  More specifically, the position specifying unit 102 can obtain the relative movement vector as follows, similarly to the processing of the dead reckoning device disclosed in Japanese Patent Application Laid-Open No. 2011-47950.

  That is, the position specifying unit 102 obtains a gravity azimuth vector from the acceleration vector received from the acceleration sensor and the angular velocity vector received from the angular velocity sensor, and from the gravity azimuth vector and the magnetic azimuth vector received from the angular velocity vector or the geomagnetic sensor, The attitude angle is calculated as the moving direction. The position specifying unit 102 obtains a gravitational acceleration vector from the acceleration vector and the angular velocity vector, and calculates an acceleration vector generated by the walking motion from the gravitational acceleration vector and the acceleration vector. Then, the position specifying unit 102 analyzes and detects the walking motion from the gravitational acceleration vector and the acceleration vector generated by the walking motion, and determines the magnitude of the walking motion based on the detection result. And the acceleration vector generated by the walking motion, and the measurement result is used as a stride. Then, the position specifying unit 102 obtains a relative movement vector from the reference position by integrating the movement direction and the stride thus obtained. In other words, the position of the person in charge is detected in real time with an accuracy of human stride or shoulder width, for example, approximately 60 cm or less (more specifically, approximately 40 cm or less).

  When the relative movement vector is calculated in this way, the position specifying unit 102 determines the absolute position after the movement of the employee from the relative movement vector from the door and the indoor map data stored in the storage unit 110. Identify.

  Thereby, the position specifying unit 102 can specify up to which desk the employee is placed in the room, and as a result, the shoulder width of the person, for example, approximately 60 cm or less (more specifically, approximately The position of the employee can be specified with an accuracy of about 40 cm or less.

  The higher the positional accuracy, the better. For example, assuming a scene in which two or more people are having a conversation, it is rare that they talk in contact with each other, and they are separated by a certain distance. Therefore, when considering the accuracy, in this embodiment, the accuracy corresponding to the length from the waist to the knee is used as the accuracy appropriate for the accuracy equivalent to the human shoulder width or stride, whether standing or sitting.

  According to the anthropometric data published by the Ministry of Health, Labor and Welfare (Makiko Kawachi, Masaaki Mochimaru, Hiroshi Iwasawa, Seiji Mitani (2000): Japanese Human Body Size Database 1997-98, Ministry of International Trade and Industry, Industrial Technology Institute and JIS Center) The data (shoulder width) corresponding to the shoulder width of adolescents and elderly men and women is about 35 cm (34.8 cm) for the elderly women with the lowest average value, and about 40 cm (39.7 cm) for the highest adolescent men It has become. Similarly, the difference between the length from the waist to the knee (pubic bone joint upper edge height−femoral outer epicondyle height) is about 34 cm to about 38 cm. On the other hand, the stride when a person moves is 95 steps when walking 50 m, and is about 53 cm (50 ÷ 95 × 10) from now on, and the position detection method according to the present embodiment can have an accuracy equivalent to the stride. Therefore, the present embodiment is configured based on the above data on the assumption that the accuracy is 60 cm or less, preferably 40 cm or less. These data serve as a standard for considering accuracy, but are based on the Japanese and are not limited to these values.

  In addition, when the employee's absolute position is specified and the employee is stationary at the seat in front of the desk, the operation status detection unit 103 determines the employee's position based on the orientation of the magnetic orientation vector received from the geomagnetic sensor. A direction (orientation) with respect to the display device is determined. In addition, when the employee is stationary at the seat in front of the desk, the operation state detection unit 103 determines the posture of the employee, that is, whether the employee is standing or sitting from the vertical acceleration component of the acceleration vector. To do.

  Here, as in the dead reckoning device disclosed in, for example, Japanese Patent No. 4243684, the determination as to the standing state or the sitting state is based on the acceleration vector received from the acceleration sensor and the angular velocity vector received from the angular velocity sensor. Thus, the acceleration component in the vertical direction can be obtained. And the operation condition detection part 103 can obtain | require the peak of the peak and trough of the acceleration component of a perpendicular direction similarly to the dead reckoning apparatus currently disclosed by patent 4243684, for example.

  FIG. 8 is a diagram illustrating waveforms of acceleration components in the vertical direction when the sitting operation and the standing operation are performed. As shown in FIG. 8, in the case of the seating operation, the interval from the peak of the peak of the acceleration component in the vertical direction to the peak of the valley is about 0.5 seconds. On the other hand, in the standing motion, the interval from the peak of the vertical acceleration component to the peak of the peak is about 0.5 seconds. For this reason, the operation state detection unit 103 determines whether the employee is in a sitting state or a standing state based on the peak interval. That is, when the interval from the peak of the peak of the acceleration component in the vertical direction to the peak of the valley is within a predetermined range from 0.5 seconds, the operation state detection unit 103 is in the seated state. Is determined. Further, when the interval from the peak of the vertical acceleration component peak to the peak of the mountain is within a predetermined range from 0.5 seconds, the operation state detection unit 103 is in an upright state. Is determined.

  As described above, when the operation state detection unit 103 determines whether the employee's operation state is the standing state or the seating state, the position in the height direction of the employee is approximately 50 cm or less (more specifically, approximately 40 cm). It means that it was detected with the following accuracy.

  Further, as in the example shown in FIG. 3, a smartphone 300 equipped with information devices for detecting human motion such as an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor is worn on the waist, and further, the acceleration sensor, the angular velocity sensor, and the geomagnetism are mounted. When a small headset-type sensor group 301 including sensors is mounted on the head, the operation state detection unit 103 can further detect the posture and movement of the employee as described below.

  FIG. 9 is a diagram showing waveforms of angular velocity components in the horizontal direction when the squatting operation and the standing operation are performed. From the acceleration data from the acceleration sensor, waveforms similar to those of the seating motion and the standing motion shown in FIG. 8 are detected, but it is difficult to discriminate the squatting motion and the standing motion only from the acceleration data.

  For this reason, the motion state detection unit 103 uses the above-described method for discriminating between the sitting motion and the standing motion based on the waveform of FIG. 8, and the temporal change in the angular velocity data in the horizontal direction received from the angular velocity sensor becomes the waveform of FIG. By judging whether or not they match, a squatting action and a standing action are discriminated.

  Specifically, the operation state detection unit 103 first has an interval from the peak of the vertical acceleration component to the peak of the valley based on the acceleration vector received from the acceleration sensor within a predetermined range from 0.5 seconds. Determine whether or not.

  When the interval from the peak of the peak of the acceleration component in the vertical direction to the peak of the valley is within a predetermined range from 0.5 seconds, the motion state detection unit 103 detects the horizontal direction of the angular velocity vector received from the angular velocity sensor. As shown in the waveform of FIG. 9, the angular velocity component of gradually increases from 0, then reaches a peak of the mountain with a rapid increase, gradually decreases from the peak of the mountain, then gradually returns to 0, and the time between Is about 2 seconds, it is determined that the employee's action is a squatting action.

  In addition, the operation state detection unit 103 determines whether or not the interval from the peak of the valley of the acceleration component in the vertical direction to the peak of the peak is within a predetermined range from 0.5 seconds. When the interval from the peak of the valley of the acceleration component in the vertical direction to the peak of the mountain is within a predetermined range from 0.5 seconds, the motion state detection unit 103 performs the horizontal direction of the angular velocity vector received from the angular velocity sensor. When the angular velocity component of the peak reaches the valley peak stepwise from 0, gradually returns to 0 from the valley peak, and the time between them is about 1.5 seconds, as shown in the waveform of FIG. It is determined that the employee's movement is a standing movement.

  As the angular velocity vector used in the determination of the squatting motion and the standing motion in the motion state detection unit 103 as described above, it is preferable to use an angular velocity vector received from an angular velocity sensor mounted on the head. This is because the angular velocity component in the horizontal direction based on the angular velocity vector from the angular velocity sensor worn on the head shows the waveform shown in FIG.

  FIG. 10 is a diagram illustrating a waveform of the angular velocity component in the vertical direction when the employee performs an operation of changing the direction by approximately 90 degrees in a stationary state. If the angular velocity component in the vertical direction is positive, the direction is changed to the right side, and if it is negative, the direction is changed to the left side.

  The operation state detection unit 103 gradually changes the angular velocity component in the vertical direction of the angular velocity vector received from the angular velocity sensor from 0 to gradually reaching the peak of the mountain as shown in FIG. When it returns and the time between these is about 3 seconds, it determines with the operation | movement changing a direction to the right.

  Further, the operation state detection unit 103 gradually returns to 0 after the time-dependent change in the angular velocity component in the vertical direction reaches the peak of the valley gradually from 0 as shown in the waveform of FIG. Is about 1.5 seconds, it is determined that the direction changes to the left.

  The motion state detection unit 103 is similar to the waveform of FIG. 10 according to the above-described determination in terms of the vertical angular velocity component of the angular velocity vector received from both the angular velocity sensor of the head and the angular velocity sensor of the hip smartphone 300. When the change over time is indicated, it is determined that the movement of the whole body changes to the right or left.

  On the other hand, the motion state detection unit 103 shows that the vertical angular velocity component of the angular velocity vector received from the angular velocity sensor of the head shows a temporal change similar to the waveform of FIG. When the angular velocity component in the vertical direction of the angular velocity vector from the angular velocity sensor shows a temporal change that is completely different from the waveform of FIG. 10, it is determined that the direction of the head is changed to the right or left. As such an operation, for example, a posture operation in the case of communicating with an adjacent employee while the employee is sitting can be considered.

  FIG. 11 is a diagram showing the waveform of the angular velocity component in the horizontal direction of the angular velocity vector received from the angular velocity sensor of the head when the line of sight is removed from the display in the sitting state.

  Consider a case where the position specifying unit 102 specifies the absolute position of the employee as being in front of the desk, and the operation state detecting unit 103 detects that the employee in front of the desk is in a sitting state. In such a case, the motion state detection unit 103 gradually increases the angular velocity component in the horizontal direction of the angular velocity vector received from the angular velocity sensor of the employee's head from 0 as shown in the waveform of FIG. When the peak of the valley is reached and then suddenly returns to 0 and the time between them is about 1 second, it is determined that the operation is an operation in which the eyes are removed from the display in the sitting state (upward operation). Further, the operation state detection unit 103 reaches the peak of the mountain while the angular velocity component in the horizontal direction gradually increases from 0 as in the waveform shown in FIG. 11, and then gradually returns to 0. When the time is about 1.5 seconds, it is determined that the operation is to return the line of sight to the display from the state where the line of sight is removed from the display in the sitting state.

  FIG. 12 is a diagram showing the waveform of the angular velocity component in the horizontal direction of the angular velocity vector received from the angular velocity sensor of the head when the line of sight is removed from the display in the sitting state.

  Consider a case where the position specifying unit 102 specifies the absolute position of the employee as being in front of the desk, and the operation state detecting unit 103 detects that the employee in front of the desk is in a sitting state. In such a case, the operation state detection unit 103 causes the angular velocity component in the horizontal direction of the angular velocity vector received from the angular velocity sensor of the employee's head to suddenly start from 0 as shown in the waveform shown in FIG. When it reaches the peak of the mountain and then suddenly returns to 0 and the time between them is about 0.5 seconds, it is determined that the movement is looking down from the display while sitting down. To do.

  Further, the operation state detection unit 103 reaches the peak of the valley while the angular velocity component in the horizontal direction decreases rapidly from 0 as in the waveform shown in FIG. 12, and then suddenly returns to 0. When the time is about 1 second, it is determined that the operation is to return the line of sight to the display from the state where the line of sight is removed from the display in the sitting state.

  As described above, the motion state detection unit 103 is a posture and motion that an office employee can take on a daily basis, that is, walking (standing state), standing (stationary state), sitting on a chair, squatting at work, sitting state Alternatively, it is possible to determine by the above-described method whether the direction (direction) is changed in the standing state, looking up at the heaven in the sitting state or the standing state, whispering in the sitting state or the standing state, and the like.

  In addition, when using the technique of the dead reckoning device of patent 4243684, as disclosed in patent 4243684, the lifting and lowering motion of a human by an elevator is also determined using the acceleration component in the vertical direction. .

  For this reason, in the present embodiment, the operation state detection unit 103 uses the function of the map matching device disclosed in, for example, Japanese Patent Application Laid-Open No. 2009-14713, and the vertical acceleration component in FIG. In the case of being detected by the waveform shown in FIG. 5, unlike the elevator lifting / lowering operation by the dead reckoning device of Japanese Patent No. 4243684, it can be determined with high accuracy whether the operation is a standing operation or a seating operation.

  The correction unit 104 corrects the specified absolute position and operation status (direction and posture) based on the captured image from the monitoring camera 400 and the map data stored in the storage unit 110. More specifically, the correction unit 104 determines whether or not the absolute position, direction, and posture of the employee determined as described above are correct by image analysis of the captured image of the monitoring camera 400 or the like, It is determined whether or not the data is correct using the data and the function of the map matching device disclosed in, for example, Japanese Patent Application Laid-Open No. 2009-14713. If it is incorrect, the correction unit 104 corrects the correct absolute position, direction, and orientation obtained from the captured image and the function of the map matching device.

  The correction unit 104 performs correction using not only a captured image from the monitoring camera 400 but also limited means such as short-range wireless and optical communication such as RFID (Radio Frequency IDentification) and Bluetooth (registered trademark). You may comprise as follows.

  In this embodiment, the same technology as the dead reckoning device disclosed in Japanese Patent No. 4243684 and Japanese Patent Application Laid-Open No. 2011-47950, and the same technology as the map matching device disclosed in Japanese Patent Application Laid-Open No. 2009-14713. Are used to detect the worker's motion state, relative movement vector from the reference position, and posture (whether standing or seated), but the detection method is not limited to these techniques. In the above description, when an employee's movement status is determined to be stationary, the absolute position in the employee's room is specified and the movement status such as direction and posture is detected. Similarly, when the movement state is the walking state, the absolute position of the employee in the room may be specified and the movement state such as the direction and the posture may be detected.

  In addition, as a technique capable of detecting a human position, in addition to the method described above performed by the positioning server device 100 based on detection data of an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor, for example, entrance / exit management using an IC card or the like , Human detection by a human sensor, a method using a wireless LAN, a method using an indoor GPS (IMES), a method for processing an image captured by a camera, a method using an active RFID, and visible light communication Methods are known.

  In the entrance / exit management using an IC card or the like, personal identification is possible, but the positioning accuracy is extremely low for the entire management target area. Therefore, although it is possible to know who is in the area, it is not possible to grasp the human activity status in the area.

  Human detection by a human sensor can obtain a positioning accuracy of about 1 to 2 m which is a detection range of the human sensor, but individual identification cannot be performed. In addition, in order to grasp the human activity state in the area, it is necessary to disperse and arrange a large number of human sensors in the area.

  In the method using a wireless LAN, the distance between one wireless LAN terminal possessed by a human and a plurality of LAN access points installed in the area is measured, and the position of the human in the area is determined by the principle of triangulation. Is identified. Although this method enables individual identification, the positioning accuracy is highly dependent on the environment, and the positioning accuracy is generally as low as 3 m or more.

  In the method using indoor GPS, a dedicated transmitter that emits radio waves in the same frequency band as GPS satellites is installed indoors. Send. Then, the signal is received by a receiving terminal possessed by an indoor person, thereby specifying the position of the person inside. Although this method can identify individuals, the positioning accuracy is as low as about 3 to 5 m. In addition, it is necessary to install a dedicated transmitter, which increases the introduction cost.

  Although the method for image processing of the captured image of the camera can obtain a relatively high positioning accuracy of about several tens of centimeters, it is difficult to perform individual identification. For this reason, in the positioning server device 100 of this embodiment, the captured image of the monitoring camera 400 is used only when correcting the absolute position, direction, and posture of the employee.

  In the method using active RFID, a person has an RFID tag with a built-in battery, and the position of the person is specified by reading information of the RFID tag with a tag reader. Although this method enables individual identification, the positioning accuracy is highly dependent on the environment, and the positioning accuracy is generally as low as 3 m or more.

  The method using visible light communication enables individual identification and relatively high positioning accuracy of about several tens of centimeters. However, humans cannot be detected in places where the visible light is blocked, and natural light and other Since there are many noise sources and interference sources such as visible light, it is difficult to maintain the stability of detection accuracy.

  In contrast to these technologies, the method performed by the positioning server device 100 according to the present embodiment is capable of individual identification, and obtains high positioning accuracy equivalent to a human shoulder width or stride. , Can detect human operating situation. Specifically, according to the method performed by the positioning server device 100 according to the present embodiment, the posture and motion that an office employee can take on a daily basis, that is, walking (standing state) or standing up as a human operating state. (Stationary state), sitting on a chair, squatting during work, changing direction (direction) when sitting or standing, looking up to the heavens when sitting or standing, and detecting whispering while sitting or standing it can.

  For this reason, in this embodiment, the positioning server device 100 uses the above-described method based on the detection data of the acceleration sensor, the angular velocity sensor, and the geomagnetic sensor of the smartphone 300 and the sensor group 301, and the employee in the office that is the control target area. The absolute position of the worker and the operation status of the employee are detected. However, the method for detecting the position of the employee in the room, which is the control target area, is not limited to the above-described method performed by the positioning server device 100, and the employee's portable device is used. Any method that can detect the position may be adopted.

  Next, details of the control server device 200 will be described. The control server device 200 has a plurality of LED lighting devices 500, a plurality of taps 600, a plurality of taps installed in the room based on the position and operation status (direction, posture, etc.) of the employee in the room that is the control target area. Each of the air conditioners 700 is remotely controlled via a network.

  FIG. 13 is a block diagram illustrating a functional configuration of the control server device 200 according to the present embodiment. As shown in FIG. 13, the control server device 200 of this embodiment mainly includes a communication unit 201, a power consumption management unit 202, a device control unit 210, and a storage unit 220.

  The storage unit 220 is a storage medium such as an HDD or a memory, and each of control target devices (a plurality of LED lighting devices 500, a plurality of taps 600, and a plurality of air conditioners 700) installed in a room that is a control target region. Various information necessary for processing of the control server device 200 such as position data is stored.

  The communication unit 201 receives position information indicating the absolute position of the employee and operation information (direction and posture) from the positioning server device 100. Further, the communication unit 201 receives power consumption from the plurality of LED lighting devices 500, the electric devices connected to the plurality of taps 600, and the plurality of air conditioners 700. Further, the communication unit 201 transmits a control signal to the plurality of LED lighting devices 500, the plurality of taps 600, and the plurality of air conditioners 700.

  The power consumption management unit 202 manages the power consumption received from the plurality of LED lighting devices 500, the electric devices connected to the plurality of taps 600, and the plurality of air conditioners 700. The power consumption management unit 202 acquires not only the power consumption for each device to be controlled but also the total power consumption for each system from the above-described system power measurement device, and the total power consumption of the entire office as the control target area The amount can be grasped and managed. The power consumption information managed by the power consumption management unit 202 can be used, for example, for display on a display to realize so-called “visualization”.

  The device control unit 210 includes a lighting device control unit 211, an outlet control unit 213, and an air conditioner control unit 215.

  The lighting device control unit 211 sets a target illuminance distribution in the room (space) that is the control target area based on the position information and the operation information received from the positioning server device 100, and achieves the target illuminance distribution. The light emission intensity of each of the plurality of LED lighting devices 500 distributed in the room is controlled. As an example, in the present embodiment, a room that is a control target area is divided into a plurality of small areas (hereinafter, each small area is simply referred to as an area) corresponding to each of the plurality of LED lighting devices 500, and each area is divided. Determine if the employee is staying. And about the area (henceforth a stay area) where the employee stays, the lighting equipment control part 211 is the attitude | position (the seating state or the standing state) of the employee staying in the stay area concerned. Is set as a target illuminance. In addition, areas where employees are not staying (hereinafter referred to as non-stay areas) are determined in advance according to the distance from the stay area indicating how far the non-stay area is from the most recent stay area. The target illuminance is taken as the illuminance. Then, the target illuminance distribution in the room is combined to set the target illuminance distribution in the room. In general, the target illuminance of the stay area is set to be higher than the target illuminance of the non-stay area. Moreover, the target illuminance of the stay area where the seated employee stays is set to be higher than the target illuminance of the stay area where the standing employee stays. In addition, the target illuminance of the non-stay area is set so as to increase as the distance from the stay area decreases.

  Moreover, in order to obtain the target light emission intensity of each LED lighting device 500 for setting the indoor illuminance distribution to the target illuminance distribution, the lighting device control unit 211 first calculates the illuminance contribution rate with respect to the indoor space of each LED lighting device 500. calculate. Here, the illuminance contribution rate represents the degree of influence that each LED lighting device 500 has on the illuminance at each position in the room. Specifically, the lighting device control unit 211 is distributed in the room while changing the light emission intensity distribution of the plurality of LED lighting devices 500 by changing at least one light emission intensity of the plurality of LED lighting devices 500. The measurement values of the plurality of illuminance sensors 800 are input, and the measurement results of the illuminance distribution in the room for each emission intensity distribution are acquired. And the illuminating device control part 211 calculates the illuminance contribution rate of each LED lighting device 500 based on the measurement result of the illuminance distribution for every acquired light emission intensity distribution.

  For example, the lighting device control unit 211 turns off only one of the measurement results of the illuminance distribution when all the plurality of LED lighting devices 500 are turned on with the reference light emission intensity and the plurality of LED lighting devices 500, Obtaining the magnitude of the illuminance given to each position in the room by one LED illuminating device 500 that has been extinguished from the difference from the measurement result of the illuminance distribution when another LED illuminating device 500 is lit at the reference emission intensity it can. An arbitrary value may be set in advance as the reference emission intensity. The lighting device control unit 211 repeats this process while sequentially switching the LED lighting devices 500 to be turned off, thereby obtaining the magnitude of illuminance given to each position in the room for all of the plurality of LED lighting devices 500. . And the lighting equipment control part 211 calculates | requires what ratio the illumination intensity has given what LED lighting equipment 500 for every indoor area mentioned above, for example, and each LED lighting equipment 500 with respect to each area in a room The illuminance contribution rate can be calculated. In the present embodiment, the illuminance contribution rate of each LED lighting device 500 is calculated for each area described above, but the present invention is not limited to this. If the position is within the detection range of the illuminance sensor 800, the illuminance contribution ratio of each LED lighting device 500 to the position can be obtained from the measurement value of the illuminance sensor 800. In addition, even if the position is outside the detection range of the illuminance sensor 800, each LED lighting device 500 with respect to the position is interpolated from the measured values of one or more nearby illuminance sensors 800 by a known approximation method or the like. The illuminance contribution rate can be obtained.

  In contrast to the above method, the lighting device control unit 211 performs only one of the measurement result of the illuminance distribution when all of the plurality of LED lighting devices 500 are turned off and the plurality of LED lighting devices 500. Is turned on at the reference emission intensity, and one LED illumination apparatus 500 turned on at the reference emission intensity gives to each position in the room from the difference from the measurement result of the illuminance distribution when the other LED illumination apparatus 500 is turned off. The magnitude of illuminance can also be obtained. In addition, the illumination device control unit 211 has an illuminance between the measurement result of the illuminance distribution when all of the plurality of LED illumination devices 500 are turned on (or turned off) at the reference light emission intensity and the plurality of LED illumination devices 500. Measurement of illuminance distribution when two or more LED lighting devices 500 separated so as not to interfere with each other are turned off (or turned on at the reference light emission intensity) and other LED lighting devices 500 are turned on (or turned off) at the reference light emission intensity. From the difference from the result, the magnitude of the illuminance given to each position in the room by the two or more LED lighting devices 500 turned off (or turned on at the reference emission intensity) can also be obtained.

  In addition, after calculating the illuminance contribution rate of each LED lighting device 500, the lighting device control unit 211 emits light from the plurality of LED lighting devices 500 based on the illuminance contribution rate so that the indoor illuminance distribution becomes the target illuminance distribution. Control strength. Specifically, for example, the lighting device control unit 211 uses the optimization algorithm on the condition of the above-described illuminance contribution ratio calculated for each of the plurality of LED lighting devices 500 to set the illuminance distribution in the room to the target illuminance distribution. The target light emission intensity of each of the LED lighting devices 500 can be calculated. Then, the lighting device control unit 211 controls each LED lighting device 500 so that the light emission intensities of the plurality of LED lighting devices 500 become the target light emission intensities, respectively. The optimization algorithm is an algorithm for obtaining, as an optimal solution, a combination of light emission intensities of a plurality of LED lighting devices 500 that minimizes a difference between an indoor illuminance distribution and a target illuminance distribution. For example, a local algorithm known as a combination optimization algorithm A known algorithm such as a search method can be used.

  The outlet control unit 213 controls power on / off of the tap opening of the tap 600 based on the absolute position and operation information (direction, posture) of the employee. More specifically, for example, the outlet control unit 213 indicates that the employee is seated on the display device connected to the tap 600 disposed in the vicinity of the received absolute position, and the direction with respect to the display device is In the case of the front, a control signal for turning on the switch of the tap port to which the display device is connected in the tap 600 is transmitted via the communication unit 201.

  On the other hand, the outlet control unit 213 connects the display device connected to the tap 600 when the employee is standing or the direction toward the display device is rearward. A control signal for turning off the switch at the tapped port is transmitted via the communication unit 201.

  As described above, the power control is performed according to the direction of the employee with respect to the display device. The display device is an important device in the direct relationship with the employee, and the display device is used when the direction is forward. It is because it can be judged. Further, it can be determined that the display device is being used when the posture of the employee is in the sitting state. As described above, in the present embodiment, power control is performed in consideration of the actual use of the device, and finer control can be performed as compared with the case where the power control is simply performed based on the distance from the device. It becomes.

  Further, the outlet control unit 213 of the present embodiment performs power control of the desktop PC main body and the display device in conjunction with the employee's personal recognition information. For example, the personal authentication information of the employee is transmitted from the smartphone 300 held by the employee to the positioning server device 100 and transmitted from the positioning server device 100 to the control server device 200. Using this personal authentication information, the control server device 200 can perform power control on a desktop PC main body and display device that are exclusively used by employees.

  The air conditioner control unit 215 controls power on / off of the air conditioner 700 based on the absolute position of the employee. More specifically, the air conditioner control unit 215 transmits, via the communication unit 201, a control signal for turning on the power of the air conditioner 700 set in the group in which the received seat at the absolute position exists, for example.

  Next, the detection process by the positioning server device 100 of the present embodiment configured as described above will be described. FIG. 14 is a flowchart illustrating the procedure of the detection process performed by the positioning server device 100 according to the present embodiment. The detection process according to the flowchart is executed for each of the plurality of smartphones 300.

  In addition to the detection process according to this flowchart, the positioning server device 100 includes an acceleration sensor, an angular velocity sensor, a geomagnetic sensor, or an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor mounted on the plurality of smartphones 300. Detection data (acceleration vector, angular velocity vector, magnetic direction vector) is received from each sensor at regular intervals, and captured images are received from a plurality of monitoring cameras 400.

  First, whether or not the employee has entered the room that is the control target area is determined based on, for example, a captured image of a door that opens and closes (step S11). If the employee's entry is not confirmed (step S11: No), it is determined whether the employee has left the room (step S20). If the employee is confirmed to exit (step S20: Yes), the employee The process according to the flowchart of FIG. Further, when neither entry nor exit is confirmed (step S20: No), confirmation of entry / exit is repeated. On the other hand, when the employee's entry into the room is confirmed in step S11 (step S11: Yes), the operation state detection unit 103 detects the operation state of the employee who has entered the room using the method described above (step S12). Then, the operation state detection unit 103 determines whether or not the employee's operation state is the walking state (step S13), and repeatedly detects the operation state while the worker is in the walking state (step S13: Yes). .

  On the other hand, when the employee's operation state is not the walking state in step S13 (step S13: No), the operation state detection unit 103 determines that the employee's operation state is the stationary state. And the position specific | specification part 102 calculates a relative movement vector from a door by the above-mentioned method by making a reference | standard position into a door (step S14).

  And the position specific | specification part 102 specifies the absolute position of the employee who became the stationary state with the map data of the room preserve | saved at the memory | storage part 110, and the relative movement vector from a door (step S15). Thereby, the position specifying unit 102 can specify up to which desk the employee is placed in the room, and as a result, the shoulder width of the employee (approximately 60 cm or less, more specifically approximately 40 cm). The position of the employee is specified with the accuracy of the following.

  Next, the operation state detection unit 103 further detects the direction (orientation) of the employee with respect to the display device from the magnetic orientation vector received from the geomagnetic sensor as the operation state of the stationary employee (step S16).

  Next, the operation state detection unit 103 detects the posture, whether the sitting state or the standing state, as the operation state of the employee by the above-described method (step S17). Thereby, the operation state detection unit 103 has detected the position in the height direction of the employee with an accuracy of approximately 50 cm or less (more specifically, approximately 40 cm or less).

  Further, the operation status detection unit 103 is an operation status of the employee, whether it is a squatting operation or a standing operation, an operation for changing the orientation in the sitting state, an operation for returning the direction, an operation for raising the line of sight in the sitting state, or an operation for returning the line of sight. Either an operation of lowering the line of sight or an operation of returning the line of sight in the sitting state may be detected.

  Next, the correction unit 104 determines whether or not correction is necessary for the absolute position of the identified employee and the direction and posture of the detected employee as described above, and corrects if necessary. (Step S18).

  Then, the communication unit 101 uses the absolute position of the employee, the detected direction and posture (if corrected, the corrected absolute position, the detected direction and posture) as position information and operation information as a control server. It transmits to the apparatus 200 (step S19). In the above description, when the operation state of the employee is determined to be stationary, the absolute position, direction, and posture of the employee are detected and transmitted to the control server device 200 as position information and operation information. However, when the employee's movement state is a walking state, the employee's absolute position, direction and posture are detected and transmitted to the control server device 200 as position information and movement information. Also good.

  Next, device control processing by the control server device 200 will be described. FIG. 15 is a flowchart illustrating a procedure of device control processing by the outlet control unit 213 and the air conditioner control unit 215 in the device control processing of the present embodiment. In addition, the control procedure for the LED lighting device 500 by the lighting device control unit 211 will be described later.

  First, the communication unit 201 receives position information representing the absolute position of the employee and operation information representing the direction and posture of the employee from the positioning server device 100 (step S31). Next, the outlet control unit 213 and the air conditioner control unit 215 of the device control unit 210 specify the control target tap 600 and the air conditioner 700 from the received position information of the employee (step S32).

  More specifically, the outlet control unit 213 refers to the position data stored in the storage unit 220 and specifies the tap 600 installed near the desk corresponding to the absolute position as a control target. In addition, the air conditioner control unit 215 refers to the position data stored in the storage unit 220 and identifies the air conditioner 700 installed corresponding to a group having a desk corresponding to the absolute position as a control target.

  Next, the air conditioner control unit 215 performs control to turn on the power of the identified air conditioner 700 (step S33).

  Next, the outlet control unit 213 determines whether or not the direction represented by the received motion information is forward and whether the posture represented by the motion information is a seated state (step S34). When the direction is the front and the posture is the seating state (step S34: Yes), the outlet control unit 213 switches the switch of the tap mouth to which the display device is connected in the tap 600 specified in step S32. Control to turn on is performed (step S35).

  On the other hand, when the direction is rearward or the posture is standing in step S34 (step S34: No), the outlet control unit 213 connects the display device at the tap 600 specified in step S32. Control is performed to turn off the switch of the tapped port (step S36).

  The outlet control unit 213 and the air conditioner control unit 215 of the device control unit 210 may be configured to perform control other than the above-described control on each control target device.

  In addition, the operation status of the employee may be a squatting or standing operation, an operation to change the orientation in the sitting state, an operation to return, or an operation to raise the line of sight in the sitting state (an operation to look up) or an operation to return the line of sight. The outlet control unit 213 and the air conditioner control unit 215 of the device control unit 210 may be configured to control each device to be controlled depending on whether the operation is to lower the line of sight (operation to look down) or to return the line of sight. .

  The following examples can be given as examples of each operation, device to be controlled, and control method in such a case. These operations are operations that can occur when an employee is seated in front of a desk. The control target device is a PC or a display device of a PC, a desk lamp, and a tabletop fan corresponding to individual air conditioning. Etc.

  For example, when the employee is at a desk and the detected detection result data determines that the operation of squatting continues for a certain period of time or longer, the switch of the tap port to which the PC power supply is connected is turned off. Thus, the outlet control unit 213 can be configured. In addition, the mode control unit can be configured so that the device control unit 210 is provided with a mode control unit that controls the mode of the device, and the display device of the PC is shifted to the standby mode.

  In addition, when the standing operation is detected from the sitting state and the standing state continues for a certain time or more, the mode control unit is configured to shift the PC to the standby mode, or the power supply of the display device is connected at the same time. The outlet control unit 213 can be configured to turn off the switch of the tapped port.

  The following control is given as an example for the operation of changing the direction. When a change in the orientation of the face or upper body is detected from the state of sitting at the desk, and this state continues for a certain period of time, the situation may be such as talking to another employee in the adjacent seat. If the lighting device such as a PC, a display device, a desk lamp, etc. is set to standby or turned off and the orientation of the employee is returned to the original state, and it is detected that the posture is returned to the original posture, the PC, the display device, The outlet control unit 213 and the mode control unit can be configured to turn on a lighting device such as a desk lamp.

  In addition, when the employee reads a document at a desk, an operation of looking down is performed, and when the employee comes up with an idea or thinks of the idea, an operation of looking up at the ceiling direction can be performed. For this reason, when an operation of looking up or looking down for a certain time or longer is continuously detected, the outlet control unit 213 performs control to shift the PC to the standby mode or to turn off the display device. A mode control unit can be configured. Further, in the case of an operation to look down, the outlet control unit 213 may be configured to perform control without turning off the desk lamp.

  As described above, in the present embodiment, the position of the employee is specified with the accuracy of the shoulder width, the direction and posture of the employee is detected, and the power control of the device is performed. Therefore, the power control of the device with finer precision is performed. Therefore, it is possible to realize further power saving and energy saving while maintaining employee comfort and high work efficiency.

  That is, in this embodiment, not only the employee is detected, but also the equipment that the employee uses exclusively, the lighting equipment, the air conditioner, and the office equipment in the vicinity of the desk where the employee sits are individually controlled. It is possible to grasp the power consumption of each person at the same time.

  In the prior art, even if the power of buildings, offices, entire factories, and entire offices can be realized so-called `` visualization '', it is unclear how individuals should save power, and the overall target value If the situation is not tight, such as exceeding the amount of power supplied, it is difficult to continue power consumption because it is difficult to be aware of power savings, etc., but according to this embodiment, the comfort of employees is maintained. It is possible to realize further power saving while suppressing a decrease in business efficiency.

  Further, according to the present embodiment, in automatic device control, power saving can be further improved by performing cooperative control between devices as well as employees and devices.

  Next, control of the LED lighting device 500 in the device control system of the present embodiment will be described in detail with a specific example.

  FIG. 16 is a block diagram in which a portion related to the lighting device control unit 211 of the control server device 200 is extracted from the configuration of the device control system of the present embodiment. As illustrated in FIG. 16, the lighting device control unit 211 of the control server device 200 includes a setting unit 231, a first control unit 232, an acquisition unit 233, a calculation unit 234, and a second control unit 235. .

  The setting unit 231 sets a target illuminance distribution in the room, which is a control target area, based on the employee position information and operation information transmitted from the positioning server device 100.

  The first control unit 232 changes the light emission intensity distribution of the plurality of LED lighting devices 500 by changing at least one light emission strength of the plurality of LED lighting devices 500 distributed in the room. The control of the light emission intensity of each LED lighting device 500 by the first control unit 232 is performed by transmitting a control signal to each LED lighting device 500, for example.

  The acquisition unit 233 inputs the measurement values of the plurality of illuminance sensors 800 distributed in the room for each of the plurality of light emission intensity distributions switched by the control of the first control unit 232, and acquires the measurement result of the illuminance distribution in the room. To do.

  The calculation unit 234 calculates the illuminance contribution rate of each LED lighting device 500 for each position in the room based on the measurement result of the illuminance distribution in the room for each of the plurality of emission intensity distributions acquired by the acquisition unit 233. For example, when the calculation unit 234 sets one of the plurality of LED lighting devices 500 distributed in the room as the target lighting device, the calculation unit 234 calculates the illuminance distribution in the room before the emission intensity of the target lighting device changes. From the difference between the measurement result and the measurement result of the illuminance distribution in the room after the emission intensity of the target lighting device has changed, the illuminance contribution ratio of the target lighting device to each position in the room is calculated.

  Based on the illuminance contribution ratio of each LED lighting device 500 calculated by the calculation unit 234, the second control unit 235 sets each LED lighting device so that the indoor illuminance distribution becomes the target illuminance distribution set by the setting unit 231. The emission intensity of 500 is controlled. For example, the second control unit 235 is set based on the illuminance contribution ratio of each LED lighting device 500 calculated by the calculation unit 234, and is set among the combinations of light emission intensities of the LED lighting devices 500 according to a known optimization algorithm. The optimum combination of light emission intensity for realizing the target illuminance distribution set by the unit 231 is obtained. Then, the second control unit 235 controls each LED lighting device 500 so that the obtained light emission intensity of each LED lighting device 500 is set as the target light emission intensity, and the light emission intensity of each LED lighting device 500 becomes the target light emission intensity. . Note that the control of the light emission intensity of each LED lighting device 500 by the second control unit 235 is performed by transmitting a control signal to each LED lighting device 500, similarly to the first control unit 232. The light emission intensity of each LED lighting device 500 is controlled by transmitting a control signal to each LED lighting device 500.

  Next, a specific processing procedure for controlling the LED lighting device 500 by the lighting device control unit 211 of the present embodiment will be described. FIG. 17 is a flowchart illustrating an overview of processing performed by the lighting device control unit 211 of the present embodiment.

  First, the communication unit 201 of the control server device 200 described above receives the position information and operation information transmitted from the positioning server device 100 (step S101).

  Next, the setting unit 231 determines the stay area based on the positional information received by the communication unit 201 in step S101 (employee positional information in the room that is the control target area) and the coordinate information of each area in the room. Processing is performed (step S102). Details of the stay area determination process will be described later.

  Next, the setting unit 231 uses the result of the stay area determination in Step S102 and the operation information received by the communication unit 201 in Step S101 (the posture of the employee in the room that is the control target area) to set the target illuminance distribution. Processing is performed (step S103). Details of the target illuminance distribution setting process will be described later.

  Next, the 1st control part 232, the acquisition part 233, and the calculation part 234 perform an illumination intensity contribution rate calculation process (step S104). Details of the illuminance contribution rate calculation process will be described later.

  Next, each LED illumination for the 2nd control part 235 to make indoor illuminance distribution into the target illuminance distribution set by step S103 based on the illuminance contribution rate of each LED lighting apparatus 500 calculated by step S104. The target light emission intensity of the device 500 is calculated (step S105).

  Finally, the second control unit 235 transmits a control signal to each LED lighting device 500 via the communication unit 201 so that the light emission intensity of each LED lighting device 500 becomes the target light emission intensity calculated in step S105. Then, the light emission intensity of each LED lighting device 500 is controlled (step S106).

  Here, a method for calculating the coordinate information of the area used for the stay area determination process in step S102 will be described. FIG. 18 is a diagram illustrating a plurality of areas divided according to the position of the LED lighting device 500 in the room, which is a control target area, and FIG. 19 illustrates an example of a method for calculating area coordinate information. FIG. 18 and 19 are based on the layout of the LED lighting device 500 in the room illustrated in FIG.

  In the example of FIG. 18, nine LED lighting devices 500 (LED lighting devices 500_1 to 500_9) configured with two LED lamps as one set are arranged in a room that is a control target region. In the case of this example, the room that is the control target area includes an area A_1 corresponding to the LED lighting device 500_1, an area A_2 corresponding to the LED lighting device 500_2, an area A_3 corresponding to the LED lighting device 500_3, and an LED lighting device 500_4. Area A_4 corresponding to the LED lighting device 500_5, area A_6 corresponding to the LED lighting device 500_6, area A_7 corresponding to the LED lighting device 500_7, and area A_8 corresponding to the LED lighting device 500_8. And the area A_9 corresponding to the LED lighting device 500_9. That is, each divided area is uniquely associated with the LED lighting device 500 that mainly affects the illuminance of the area. The coordinates of the area corresponding to each LED lighting device 500 are calculated based on the coordinates of each LED lighting device 500, for example. The coordinates of each LED lighting device 500 are stored in the storage unit 220 as the position data described above. The illuminance of each area A_1 to A_9 is individually measured by the illuminance sensors 800_1 to 800_9.

  In the example of FIG. 19, with respect to the LED lighting device 500_5 installed in the center of the room, the LED lighting device 500_2 on the left side in the drawing, the LED lighting device 500_4 on the upper side in the drawing, and the LED lighting device 500_6 on the lower side in the drawing. It is assumed that the LED lighting devices 500_8 are adjacent to each other on the right side in the drawing. Here, the coordinates of the LED lighting device 500_2 are (x2, y2), the coordinates of the LED lighting device 500_4 are (x4, y4), the coordinates of the LED lighting device 500_5 are (x5, y5), and the coordinates of the LED lighting device 500_6 are ( x6, y6), and the coordinates of the LED lighting device 500_8 are (x8, y8). These coordinates (x2, y2), (x4, y4), (x5, y5), (x6, y6), (x8, y8) are stored in the storage unit 220 as position data.

Consider the case where the coordinate information of the area A_5 corresponding to the LED lighting device 500_5 installed in the center of the room is calculated under such a premise. When the area A_5 corresponding to the LED lighting device 500_5 is defined as an area surrounded by four points P1, P2, P3, and P4, the coordinates of each point are P1 (x5a, y5a) and P2 (x5a, y5b), respectively. , P3 (x5b, y5b), P4 (x5b, y5a), and the area A_5 corresponding to the LED lighting device 500_5 can be expressed by four numerical values x5a, x5b, y5a, and y5b. The four numerical values of x5a, x5b, y5a, and y5b are the coordinates (x2, y2), (x4, y4), ( By using x5, y5), (x6, y6), and (x8, y8), calculation can be performed as in the following formulas (1) to (4).
x5a = (x2 + x5) / 2 (1)
x5b = (x5 + x8) / 2 (2)
y5a = (y6 + y5) / 2 (3)
y5b = (y5 + y4) / 2 (4)

  With the above method, it is possible to calculate the coordinates of the areas A_1 to A_9 corresponding to the LED lighting devices 500_1 to 500_9 distributed in the room which is the control target area. If there is a direction where there is no adjacent LED lighting device 500, the coordinates of the indoor wall may be used as the coordinates of the area boundary in that direction. For example, in the LED lighting device 500_6 illustrated in FIGS. 18 and 19, since there is no LED lighting device 500 adjacent to the lower side in the drawing, y of points P1 and P4 that define the lower area boundary in the drawing. The y coordinate (= 0) of the lower wall in the figure may be used as the coordinate y6a.

  Next, a specific example of the stay area determination process (step S102 in FIG. 17) executed by the setting unit 231 will be described. FIG. 20 is a flowchart illustrating a procedure of stay area determination processing. The setting unit 231 repeatedly executes the stay area determination process shown in the flowchart of FIG. 20 at predetermined time intervals. In the following description, the position information of the employee in the room is expressed as coordinates (x, y).

  First, the setting unit 231 sets an area to be determined as an area A_n, and sets an initial value (n = 1) to n (step S201).

  Next, the setting unit 231 acquires coordinate information of the area A_n (Step S202). As described above, the coordinate information of the area A_n is expressed by four numerical values of xna, xnb, yna, and ynb. For example, these numerical values are calculated in advance and stored in the storage unit 220 or the like.

  Next, the setting unit 231 compares the position information (x, y) of the employee in the room with the coordinate information xna, xnb, yna, ynb of the area A_n, and determines whether the area A_n is a stay area. Determine. That is, the setting unit 231 determines whether or not the value of x is in the range of xna to xnb (step S203), and determines whether or not the value of y is in the range of yna to ynb (step S203). Step S204). And when the value of x is in the range of xna to xnb (step S203: Yes) and the value of y is in the range of yna to ynb (step S204: Yes), the area A_n is defined as the staying area. The information indicating that the area A_n is a stay area is temporarily stored in the storage unit 220 or the like (step S205). On the other hand, if the value of x is not within the range of xna to xnb (step S203: No), or the value of y is not within the range of yna to ynb (step S204: No), the area A_n is determined as a non-staying area. Thus, no information is stored.

  Next, the setting unit 231 increments (+1) the value of n (step S206), and whether or not the value of n exceeds the number of areas, that is, whether all areas are stay areas or non-stay areas It is determined whether or not the determination of whether or not is completed (step S207). If the value of n is equal to or less than the number of areas (step S207: No), the process returns to step S202 to acquire the coordinate information of the new area A_n, and the subsequent processing is repeated. On the other hand, if the value of n exceeds the number of areas (step S207: Yes), the stay area determination process is terminated.

  Next, a specific example of the target illuminance distribution setting process (step S103 in FIG. 17) executed by the setting unit 231 will be described. FIG. 21 is a flowchart illustrating a procedure of target illuminance distribution setting processing.

  First, the setting unit 231 sets an area A_n to be selected as a processing target, and sets an initial value (n = 1) for n (step S301).

  Next, the setting unit 231 refers to information temporarily stored in, for example, the storage unit 220 as a result of the stay area determination process described above, and determines whether or not the area A_n is a stay area (step S302). ). And if the area A_n is a stay area (step S302: Yes), the setting part 231 will set the operation state of the employee who stays in the area A_n based on the operation information of the employee in the room, or It is determined whether or not it is upright (step S303). Then, if the operating state of the employee staying in the area A_n is seated (step S303: Yes), the setting unit 231 corresponds the target illuminance of the area A_n to the stay area where the seated employee is staying. The illuminance to be set is set to a predetermined illuminance (step S304). On the other hand, if the operating situation of the employee staying in the area A_n stands up (step S303: No), the setting unit 231 corresponds the target illuminance of the area A_n to the staying area where the standing employee stays. The illuminance to be set is set to a predetermined illuminance (step S305).

  When it is determined in step S302 that the area A_n is a non-stay area (step S302: No), the setting unit 231 searches for the stay area closest to the area A_n, and the distance of the area A_n from the nearest stay area. Is calculated (step S306). Then, the setting unit 231 sets the target illuminance of the area A_n to a predetermined illuminance according to the distance from the stay area (Step S307).

  Next, the setting unit 231 increments the value of n (+1) (step S308), and whether or not the value of n exceeds the number of areas, that is, whether the target illuminance is set for all the indoor areas It is determined whether or not (step S309). If the value of n is equal to or smaller than the number of areas (step S309: No), the process returns to step S302, and the process for the new area A_n is repeated. On the other hand, if the value of n exceeds the number of areas (step S309: Yes), the setting unit 231 sets the target illuminance distribution by combining the target illuminances set for the areas (step S310).

  Next, a specific example of the illuminance contribution rate calculation process (step S104 in FIG. 17) executed by the first control unit 232, the acquisition unit 233, and the calculation unit 234 will be described. FIG. 22 is a flowchart illustrating a procedure of illuminance contribution rate calculation processing. The illuminance contribution rate calculation process described here is merely an example, and various modifications are possible. For example, in the following illuminance contribution rate calculation process, the light emission intensity distribution is changed by sequentially turning off the plurality of LED lighting devices 500 one by one, but the plurality of LED lighting devices 500 are sequentially used as a reference. The light emission intensity distribution may be changed by turning on the light emission intensity or turning off the two or more LED lighting devices 500 simultaneously (or turning on the light emission with the reference light emission intensity).

  First, the first control unit 232 controls all the LED lighting devices 500 dispersedly arranged in the room to be in a lighting state with a reference light emission intensity (step S401).

  Next, the acquisition unit 233 inputs the measurement values of the illuminance sensors 800 distributed in the room (step S402), and the illuminance in the room in a state where all the LED lighting devices 500 are lit at the reference emission intensity. A distribution is obtained and stored in the storage unit 220 or the like as a first reference illuminance distribution (step S403).

  Next, the 1st control part 232 sets the number (illumination number) of the LED lighting apparatus 500 used as the object which changes light emission intensity to i, and sets an initial value (i = 1) to i (step S404). In addition, what is necessary is just to predetermine the illumination number of each LED lighting apparatus 500 distributedly arranged indoors in an appropriate order.

  Next, the 1st control part 232 controls the i-th LED lighting apparatus 500 so that it may be in a light extinction state (step S405).

  Next, the acquisition unit 233 inputs the measurement value of each illuminance sensor 800 distributed in the room (step S406), only the i-th LED illumination device 500 is turned off, and the other LED illumination devices 500 emit reference light. The illuminance distribution in the room in the state of being lit at an intensity is obtained and stored in the storage unit 220 or the like in association with the illumination number i (step S407).

  Next, the first control unit 232 increments the value of i (step S408), and whether or not the value of i exceeds the total number of LED lighting devices 500, that is, turns off the LED lighting devices 500 one by one in order. It is determined whether or not all the illuminance distribution in the room at the time of the state has been obtained (step S409). And if the value of i is below the total number of LED lighting apparatuses 500 (step S409: No), it will return to step S405 and will repeat the subsequent process. On the other hand, when the value of i exceeds the total number of LED lighting devices 500 (step S409: Yes), the first control unit 232 controls all the LED lighting devices 500 distributed in the room so as to be turned off. (Step S410).

  Next, the acquisition unit 233 inputs the measured values of the illuminance sensors 800 distributed in the room (step S411), and obtains the illuminance distribution in the room when all the LED lighting devices 500 are turned off. This is stored in the storage unit 220 or the like as the second reference illuminance distribution (step S412).

  Next, the calculation unit 234 reads the first reference illuminance distribution stored in step S403 and the illuminance distribution stored in association with the illumination number i in step S407 from the storage unit 220 or the like, and these illuminance distributions. Is used to calculate the illuminance contribution ratio for each area of each LED lighting device 500 distributed in the room (step S413). Specifically, the calculation unit 234 determines that the i-th LED lighting device 500 is lit at the reference light emission intensity based on the difference between the illuminance distribution associated with the illumination number i and the first reference illuminance distribution. Find how much illumination is given to the area. And the calculation part 234 repeats the same process about all the illumination numbers i, and calculates | requires the magnitude | size of the illumination intensity given to each indoor area about all the LED lighting apparatuses 500, respectively. And the calculation part 234 specifies the LED lighting apparatus 500 which has given illuminance to the said area for every area in a room, and calculates | requires what ratio the specified LED lighting apparatus 500 has given illuminance. Thus, the illuminance contribution rate of each LED lighting device 500 for each indoor area is calculated.

  For example, in the example illustrated in FIG. 18, it is assumed that the LED lighting device 500_1, the LED lighting device 500_2, the LED lighting device 500_4, and the LED lighting device 500_5 are specified to have illuminance with respect to the area A_1. At this time, the illumination intensity of the LED illumination device 500_1 given to the area A_1 is 560 lx, the illumination intensity of the LED illumination device 500_2 is 120 lx, the illumination intensity of the LED illumination device 500_4 is 80 lx, and the illumination intensity of the LED illumination device 500_5 When the size is 40 lx, the illuminance contribution rate of the LED lighting device 500_1 to the area A_1 is 70%, the illuminance contribution rate of the LED lighting device 500_2 is 15%, and the illuminance contribution rate of the LED lighting device 500_4 is 10%. The illuminance contribution ratio of the device 500_5 is calculated as 5%.

  Next, the calculation unit 234 reads out the first reference illuminance distribution stored in step S403 and the second reference illuminance distribution stored in step S412 from the storage unit 220 and the like, and the first reference illuminance distribution and the first reference illuminance distribution Based on the difference from the 2 reference illuminance distribution, the intensity of outside light affecting the illuminance of each area in the room is calculated (step S414). In addition, when outside light does not enter the room that is the control target area, the processes in steps S410 to S412 and S414 are omitted.

  Lastly, the calculation unit 234 describes the illuminance contribution rate of each LED lighting device 500 calculated in step S413 and the external light intensity calculated in step S414 as necessary corresponding to each area in the room. A contribution table is generated (step S415), and the series of illuminance contribution rate calculation processing shown in FIG.

  As described above, in the present embodiment, the first controller 232 turns off the LED lighting devices 500 one by one in order from the state in which all of the plurality of LED lighting devices 500 are turned on at the reference light emission intensity. The light emission intensity distribution by the plurality of LED lighting devices 500 is changed. FIG. 23 is a diagram illustrating an example of a control signal transmitted by the first control unit 232 in order to change the emission intensity distribution. The control signal shown in FIG. 23 is a control signal for turning on the LED lighting device 500 with the reference emission intensity at the Hi level and turning off the LED lighting device 500 at the Lo level. In the figure, (a) shows the waveform of the control signal transmitted to the LED lighting device 500_1 shown in FIG. 18, (b) shows the waveform of the control signal transmitted to the LED lighting device 500_2, and (c) shows the LED lighting. (D) shows the waveform of the control signal sent to the LED lighting device 500_4, (e) shows the waveform of the control signal sent to the LED lighting device 500_5, and (f) ) Shows the waveform of the control signal transmitted to the LED lighting device 500_6, (g) shows the waveform of the control signal sent to the LED lighting device 500_7, and (h) shows the waveform of the control signal sent to the LED lighting device 500_8. (I) has shown the waveform of the control signal transmitted to LED lighting apparatus 500_9.

  In the example of FIG. 23, at time T0, a control signal that is at a high level is transmitted to all LED lighting devices 500, and then transmitted to the LED lighting devices 500_1 to 500_9 at the respective timings of times T1 to T9. After the signal is temporarily set to Lo level, the control signal transmitted to all LED lighting devices 500 at the timing of time T10 is temporarily set to Lo level. And the measured value of the illumination intensity sensor 800 is input at each timing of time T1-T10, and indoor illumination distribution is measured. Thereby, the measurement result of the indoor illuminance distribution in each light emission intensity distribution can be obtained while changing the light emission intensity distribution by the LED lighting devices 500_1 to 500_9.

  Here, the time interval at which the control signal is temporarily set to the Lo level (light-out time), that is, the time interval at which the light emission intensity of each LED lighting device 500 is changed, is detected by a human. It is desirable to set a time interval shorter than a predetermined time interval (for example, 0.01 seconds) as an incapable time interval. This makes it possible to calculate the illuminance contribution rate of each LED lighting device 500 by obtaining the measurement result of the illuminance distribution in the room while changing the emission intensity distribution without making the employee staying indoors aware of it. Control over the LED lighting device 500 for calculating the contribution rate can effectively suppress inconvenience that gives the employee a sense of discomfort. In addition, after returning the control signal with respect to one LED lighting device 500 from Lo level to Hi level, the time interval (lighting-off interval) until the control signal with respect to the next LED lighting device 500 is set to Lo level is the above-described turn-off time. As long as it is equal to or greater than. For example, by setting the extinguishing time to 0.005 seconds, the extinguishing interval to 0.005 seconds, and turning off each LED lighting device 500 in turn at a cycle of 100 Hz to change the emission intensity distribution, It was confirmed that the illuminance distribution in the room at each emission intensity distribution can be obtained without detecting flicker.

  FIG. 24 is a diagram illustrating an example of the illuminance contribution table generated by the calculation unit 234 in step S415 of the illuminance contribution rate calculation process illustrated in FIG. For example, as illustrated in FIG. 24, the illuminance contribution table represents the illuminance contribution rate of each LED lighting device 500 that affects the illuminance and the intensity of external light for each of the indoor areas. This illuminance contribution table is stored, for example, in the storage unit 220 or the like, and is updated each time a new illuminance contribution table is generated by the calculation unit 234. Then, the latest illumination contribution table is referred to by the second controller 235, and the emission intensity of each LED lighting device 500 is controlled using the latest illumination contribution table so that the indoor illumination distribution becomes the target illumination distribution. The

  Here, a specific example of control by the second control unit 235 using the illuminance contribution table of FIG. 24 will be described with a simple example. Here, an example of control when the illuminances of the three areas A_1 to A_3 shown in FIG. 18 are set to about 800 lx using the illuminance contribution table of FIG. 24 will be described.

  According to the illuminance contribution table of FIG. 24, the LED lighting devices 500 that affect the illuminance of the three areas A_1 to A_3 are the LED lighting devices 500_1 to 500_6. Further, according to the illuminance contribution table in FIG. 24, the external light intensity affecting the illuminance of the area A_1 is 120 lx, the external light intensity affecting the illuminance of the area A_2 is 170 lx, and the illuminance of the area A_3 is affected. The intensity of the external light applied is 300 lx. Therefore, on condition of the illuminance contribution rate of the LED lighting devices 500_1 to 500_6 for each of the areas A_1 to A_3, the LED lighting devices 500_1 to 500_6 can obtain an illuminance of 680 lx in the area A_1, and an illuminance of 630 lx in the area A_2. An optimal combination of the emission intensities of the LED lighting devices 500_1 to 500_6 for obtaining an illuminance of 500 lx in the area A_3 is obtained by a known optimization algorithm. As a result, the emission intensity of the LED illumination device 500_1 is 800 lx, the emission intensity of the LED illumination device 500_2 is 700 lx, the emission intensity of the LED illumination device 500_3 is 550 lx, the emission intensity of the LED illumination device 500_4 is 100 lx, and the emission intensity of the LED illumination device 500_5. It was found that it is optimal to set the luminous intensity of the LED lighting device 500_6 to 60 lx. Then, when the light emission intensity of the LED lighting devices 500_1 to 500_6 is controlled using the obtained optimum light emission intensity as the target light emission intensity, the illuminance combined with the external light in each of the areas A_1 to A_3 becomes uniform at about 800 lx. Was confirmed.

  As described above in detail with reference to specific examples, in the control server device 200 according to the present embodiment, the setting unit 231 of the lighting device control unit 211 determines the position of the employee in the room that is the control target area. The target illuminance distribution in the room is set based on the operation status. Then, the first control unit 232 changes the light emission intensity distribution of the plurality of LED lighting devices 500 by changing at least one light emission intensity of the plurality of LED lighting devices 500 distributed in the room, and the acquisition unit 233. Acquires the measurement result of the illuminance distribution in the room measured for each of the plurality of emission intensity distributions. Then, the calculation unit 234 calculates the illuminance contribution rate of each LED lighting device 500 based on the measurement result of the indoor illuminance distribution for each of the plurality of emission intensity distributions, and the second control unit 235 calculates the calculation by the calculation unit 234. Based on the illuminance contribution rate of each of the LED lighting devices 500, the light emission intensities of the plurality of LED lighting devices 500 are controlled so that the illuminance distribution in the space becomes the target illuminance distribution set by the setting unit 231. As described above, according to the present embodiment, the light emission intensity of the plurality of LED lighting devices 500 is controlled based on the illuminance contribution rate of each LED lighting device 500. Each LED lighting device 500 can be appropriately controlled so that the illuminance distribution of the LED approaches the target illuminance distribution.

  The positioning server device 100 and the control server device 200 according to the present embodiment include a control device such as a CPU, a storage device such as a ROM and a RAM, an external storage device such as an HDD and a CD drive device, and a display device such as a display device. It has an input device such as a keyboard and a mouse, and has a hardware configuration using a normal computer.

  The detection program executed by the positioning server device 100 of the present embodiment and the control program executed by the control server device 200 of the present embodiment are an installable format or an executable format file such as a CD-ROM, a flexible disk ( FD), CD-R, DVD (Digital Versatile Disc) and the like are provided by being recorded on a computer-readable recording medium.

  In addition, the detection program executed by the positioning server device 100 according to the present embodiment and the control program executed by the control server device 200 according to the present embodiment are stored on a computer connected to a network such as the Internet, and are transmitted via the network. You may comprise so that it may provide by downloading. The detection program executed by the positioning server device 100 according to the present embodiment and the control program executed by the control server device 200 according to the present embodiment may be provided or distributed via a network such as the Internet.

  Further, the detection program executed by the positioning server device 100 of the present embodiment and the control program executed by the control server device 200 of the present embodiment may be configured to be incorporated in advance in a ROM or the like.

  The detection program executed by the positioning server device 100 of the present embodiment has a module configuration including the above-described units (communication unit 101, position specifying unit 102, operation status detection unit 103, correction unit 104). As hardware, a CPU (processor) reads out and executes a detection program from the storage medium, whereby the above-described units are loaded on the main storage device, and the communication unit 101, the position specifying unit 102, the operation status detection unit 103, and the correction unit. 104 is generated on the main memory.

  The control program executed by the control server device 200 of the present embodiment includes the above-described units (communication unit 201, power consumption management unit 202, lighting device control unit 211 (setting unit 231, first control unit 232, acquisition unit 233, The module configuration includes a calculation unit 234, a second control unit 235), an outlet control unit 213, and an air conditioner control unit 215. As actual hardware, a CPU (processor) reads a control program from the storage medium. By executing, the above-described units are loaded on the main storage device, and the communication unit 201, the power consumption management unit 202, the lighting device control unit 211 (setting unit 231, first control unit 232, acquisition unit 233, calculation unit 234, first unit 2 control unit 235), outlet control unit 213, and air conditioner control unit 215 are generated on the main storage device.

  Although specific embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments as they are, and various modifications and changes are made without departing from the scope of the invention in the implementation stage. Can be embodied. That is, the specific configuration and operation of the above-described embodiment are merely examples, and various modifications and changes can be made according to the application and purpose.

  For example, in the above-described embodiment, the illuminance contribution rate calculation process is performed after setting the target illuminance distribution according to the position of the employee in the room and the operation status. It is not limited to after setting, but can be performed at any timing. For example, the illuminance contribution rate calculation process may be periodically performed at a predetermined period.

  In the above-described embodiment, the illuminance distribution in the room is obtained from the measurement values of the plurality of illuminance sensors 800 distributed in the room that is the control target area. The illuminance distribution in the room may be measured by inputting the captured image to the control server device 200 and analyzing the captured image of the monitoring camera 400. Moreover, you may make it measure indoor illuminance distribution using both the measured value of the some illumination sensor 800, and the captured image of the monitoring camera 400. FIG.

  In the embodiment described above, the measurement result of the illuminance distribution when all the LED lighting devices 500 are turned on with the reference light emission intensity and the measurement result of the illuminance distribution when only a certain LED lighting device 500 is turned off. Although the illuminance contribution rate of the LED lighting device 500 is calculated based on the difference, the illuminance contribution rate may be calculated by another method. For example, the illuminance contribution ratio of the LED lighting device 500 may be calculated from the measurement result of the illuminance distribution when only one LED lighting device 500 is turned on at the reference emission intensity and all other LED lighting devices 500 are turned off. it can. However, in the method using the difference described above, the influence of external light is canceled and the illuminance contribution ratio of each LED lighting device 500 is calculated, whereas only a certain LED lighting device 500 is lit at the reference light emission intensity. In the method of calculating the illuminance contribution rate from the measurement result of the illuminance distribution, the illuminance contribution rate in the state affected by the external light is calculated. For this reason, when calculating the target light emission intensity of each LED lighting apparatus 500, it is necessary to determine the target light emission intensity in consideration of an external light component that affects the illuminance contribution rate.

  In the above-described embodiment, the positioning server device 100 and the control server device 200 are realized as independent devices, but the functions of the positioning server device 100 and the control server device 200 are realized by one device. You may make it do. In the above-described embodiment, in one control server device 200, the function of controlling the LED lighting device 500 (lighting device control unit 211), the function of controlling the tap 600 (outlet control unit 213), and the air conditioner 700. However, these functions may be realized by individual devices.

DESCRIPTION OF SYMBOLS 100 Positioning server apparatus 200 Control server apparatus 201 Communication part 210 Apparatus control part 211 Lighting equipment control part 220 Storage part 231 Setting part 232 1st control part 233 Acquisition part 234 Calculation part 235 2nd control part 300 Smartphone 400 Monitoring camera 500 LED illumination Equipment 800 Illuminance sensor

Japanese Patent Laid-Open No. 9-312198

Claims (10)

A first control unit that changes a light emission intensity distribution of the plurality of lighting devices by changing at least one light emission intensity of the plurality of lighting devices dispersedly arranged in the space;
Calculation that calculates an illuminance contribution ratio that represents the degree of influence that each lighting device has on the illuminance at each position in the space, based on the measurement result of the illuminance distribution in the space measured for each of the plurality of emission intensity distributions And
A lighting control device comprising: a second control unit that controls light emission intensities of the plurality of lighting devices based on the illuminance contribution rate so that the illuminance distribution in the space becomes a target illuminance distribution.   When the calculation unit uses one of the plurality of lighting devices as a target lighting device, the measurement result according to the light emission intensity distribution before the light emission intensity of the target lighting device changes, and the target lighting device The illumination control apparatus according to claim 1, wherein the illuminance contribution ratio of the target illumination device is calculated from a difference from the measurement result according to the emission intensity distribution after the emission intensity of the lamp changes.   The second control unit includes the illumination intensity distribution of the space and the target illuminance distribution for each of the combinations of light emission intensities of the plurality of illumination devices, on condition that the illuminance contribution rate of each of the plurality of illumination devices is the condition. In accordance with an optimization algorithm that obtains the combination that minimizes the difference between them as the optimal solution, the light emission intensity of the plurality of lighting devices to be the optimal solution is calculated as the target light emission intensity, respectively, and the light emission intensity of the plurality of lighting devices is respectively The illumination control apparatus according to claim 1, wherein control is performed so that the target emission intensity is obtained.   The first control unit may change the light emission intensity of the lighting device at a time interval shorter than a predetermined time interval as a time interval in which a human cannot perceive a change in the light emission intensity of the lighting device. The illumination control device according to claim 1.   The illumination control apparatus according to claim 1, further comprising a setting unit configured to set the target illuminance distribution based on a human position and an operation state in the space.   The lighting control device according to claim 5, wherein the position and operation state of the person are detected based on detection result data of an acceleration sensor, an angular velocity sensor, and a geomagnetic sensor possessed by the person.   The illumination control apparatus according to claim 1, wherein the illuminance distribution of the space is measured by a plurality of illuminance sensors distributed in the space.   The illumination control device according to claim 7, wherein the plurality of illuminance sensors are provided in each of the plurality of illumination devices.   The illumination control apparatus according to claim 1, wherein the illuminance distribution of the space is measured using an image of the space imaged by an imaging unit. On the computer,
A function of changing the light emission intensity distribution by the plurality of lighting devices by changing at least one light emission intensity of the plurality of lighting devices distributed in space;
A function of calculating an illuminance contribution ratio that represents the degree of influence that each lighting device has on the illuminance at each position in the space, based on the measurement result of the illuminance distribution in the space measured for each of the plurality of emission intensity distributions. When,
A program for realizing, based on the illuminance contribution rate, a function of controlling light emission intensities of the plurality of lighting devices so that an illuminance distribution in the space becomes a target illuminance distribution.

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