JP2021176137A - Lighting control device, lighting control system, program, and lighting control method - Google Patents

Abstract

To optimize the circadian rhythm by using light.SOLUTION: A lighting control device optimizes the circadian rhythm of a subject by using a plurality of lighting devices arranged in a space where at least one subject stays. The lighting control device includes means for calculating the spectrum of each lighting device by inputting the time into a spectrum model in which the correlation between the optimal circadian rhythm and the time is described, and means for controlling each lighting device with reference to the determined spectrum.SELECTED DRAWING: Figure 3

Description

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

Generally, it is known that an organism has a biological clock having a cycle of about 24 hours (hereinafter referred to as "circadian clock"). This means that organisms carry out life activities with an autonomous daily rhythm (hereinafter referred to as "circadian rhythm") as a physiological function, regardless of their consciousness (for example, the consciousness of "sleeping because they are tired at night"). It means that you are doing.

On the other hand, it is also known that the light entering the eyes of living things affects the circadian rhythm. Specifically, when light enters the eyes of an organism, melatonin is secreted from the brain. This melatonin secretion acts on the circadian rhythm.
For example, when a person is exposed to weak light in the daytime, a desire to sleep occurs. This means that sleep cravings, which are thought to be optimal to occur at night, occur in the daytime (ie, disturb the circadian rhythm) due to the action of light in the daytime.
Disturbances in circadian rhythms are also known to affect health (eg, mental illness, obesity, diabetes, cancer, and dementia).

On the other hand, a technique for improving a person's life rhythm by using light is known. For example, Patent Document 1 discloses a technique for changing the brightness of a light source according to a human brain wave from the viewpoint of the influence on the human biological rhythm.

Japanese Unexamined Patent Publication No. 2011-258342

The ideal circadian rhythm means that the amount of melatonin secreted at each time maintains the ideal value. That is, in order to optimize the circadian rhythm, it is necessary to optimize the amount of melatonin secreted according to each time.

However, in Patent Document 1, the brightness of the light source is changed in consideration of human brain waves, not the amount of melatonin secreted at each time. In other words, the brightness of the light source is not determined by the time of day, but by the human brain waves. Therefore, the amount of melatonin secreted at each time cannot be optimized.

An object of the present invention is to optimize a circadian rhythm using light.

One aspect of the present invention is
A lighting control device that optimizes the circadian rhythm of the subject by using a plurality of lighting devices arranged in a space where at least one subject stays.
It has a means to calculate the spectrum of each luminaire by inputting the time into a spectrum model that describes the correlation between the optimal circadian rhythm and the time.
A means for controlling each illuminating device with reference to the determined spectrum is provided.
It is a lighting control device.

According to the present invention, light can be used to optimize the circadian rhythm.

It is a block diagram which shows the structure of the lighting control system of this embodiment. It is a block diagram which shows the structure of the lighting control device 30. It is explanatory drawing of the outline of this embodiment. It is a figure which shows the data structure of the subject information database of this embodiment. It is a figure which shows the data structure of the spatial information database of this embodiment. It is a figure which shows the data structure of the lighting information database of this embodiment. It is a figure which shows the data structure of the behavior information database of this embodiment. It is a figure which shows the data structure of the biological information database of this embodiment. It is a sequence diagram of the lighting control processing of this embodiment. It is a schematic diagram of the spectrum model of this embodiment. It is a block diagram which shows the structure of the lighting control system of the modification 6. It is a figure which shows the data structure of the irradiated light information database of the modification 6. It is a sequence diagram of the lighting control processing of the modification 6.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In addition, in the drawing for demonstrating the embodiment, the same components are in principle the same reference numerals, and the repeated description thereof will be omitted.

In this embodiment, the "spectrum" means the output level for each wavelength of light. The output level includes, for example, at least one of the following:
・ Luminous flux ・ Illuminance ・ Luminous intensity

(1) Configuration of lighting control system The configuration of the lighting control system will be described. FIG. 1 is a block diagram showing a configuration of the lighting control system of the present embodiment.

As shown in FIG. 1, the lighting control system 1 includes a client device 10, a lighting control device 30, and a lighting device 50.
The client device 10, the lighting control device 30, and the lighting device 50 are connected via a network (for example, the Internet or an intranet) NW.

The lighting device 50 is configured to emit light according to the control of the lighting control device 30. The lighting device 50 includes, for example, at least one of the following.
・ Ceiling light ・ Desktop light ・ Fluorescent lamp ・ Lighting with light emitting element (for example, LED (Light Emitting Diode)) (for example, light bulb)

The lighting control device 30 is configured to control the lighting device 50.

(1-1) Configuration of Client Device The configuration of the client device 10 will be described with reference to FIG.

As shown in FIG. 1, the client device 10 includes a storage device 11, a processor 12, an input / output interface 13, and a communication interface 14.

The storage device 11 is configured to store programs and data. The storage device 11 is, for example, a combination of a ROM (Read Only Memory), a RAM (Random Access Memory), and a storage (for example, a flash memory or a hard disk).

The program includes, for example, the following program.
・ OS (Operating System) program ・ Application (for example, web browser) program that executes information processing

The data includes, for example, the following data.
-Database referenced in information processing-Data obtained by executing information processing (that is, the execution result of information processing)

The processor 12 is configured to realize the function of the client device 10 by activating the program stored in the storage device 11. The processor 12 is an example of a computer.

The input / output interface 13 is configured to acquire a user's instruction from an input device connected to the client device 10 and output information to an output device connected to the client device 10.
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.
The output device is, for example, a display.

The communication interface 14 is configured to control communication between the client device 10 and the lighting control device 30.

(1-2) Configuration of Lighting Control Device The configuration of the lighting control device 30 will be described. FIG. 2 is a block diagram showing the configuration of the lighting control device 30.

As shown in FIG. 1, the lighting control device 30 includes a storage device 31, a processor 32, an input / output interface 33, and a communication interface 34.

The storage device 31 is configured to store programs and data. The storage device 31 is, for example, a combination of a ROM, a RAM, and a storage (for example, a flash memory or a hard disk).

The program includes, for example, the following program.
・ OS program ・ Application program that executes information processing

The data includes, for example, the following data.
・ Database referred to in information processing ・ Execution result of information processing

The processor 32 is configured to realize the function of the lighting control device 30 by activating the program stored in the storage device 31. The processor 32 is an example of a computer.

The input / output interface 33 is configured to acquire an instruction of a target person from an input device connected to the lighting control device 30 and output information to an output device connected to the lighting control device 30.
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.
The output device is, for example, a display.

The communication interface 34 is configured to control communication between the client device 10 and the lighting control device 30 and the lighting device 50.

(2) Outline of the Embodiment The outline of the present embodiment will be described. FIG. 3 is an explanatory diagram of an outline of the present embodiment.

As shown in FIG. 3, the facility includes an eigenspace (for example, a private room of the target person TP) and a shared space (for example, a space shared by a plurality of target person TPs staying at the facility (for example, a dining room)). including. A plurality of lighting devices 50-1 to 50-3 are arranged in the facility. Each of the lighting devices 50-1 to 50-3 is connected to the lighting control device 30.

The subject TP includes, for example, at least one of the following.
・ People over the specified age ・ People suffering from the specified disease (for example, dementia patients)

The facility includes, for example, at least one of the following:
・ Housing dedicated to the target person TP (for example, elderly housing)
・ Private residence where the target person TP resides ・ Building that provides care services to the target person TP

At time T1, the subject TP is staying in the eigenspace. At this time, the lighting control device 30 controls the lighting devices 50-1 to 10-2 arranged in the eigenspace so as to emit light having a spectrum corresponding to the time T1.
At time T2, the subject TP moves from the eigenspace to the shared space. At this time, the lighting control device 30 controls the lighting devices 50-3 arranged in the eigenspace so as to emit light having a spectrum corresponding to the time T2.

In this way, the lighting control device 30 controls each lighting device 50-1 to 50-3 so that the plurality of lighting devices 50-1 to 50-3 arranged in the facility emit light according to the time. do. As a result, the subject TP staying at the facility is exposed to the light optimized according to the time. As a result, the time distribution of the amount of melatonin secreted by the subject TP is adjusted, so that the circadian rhythm of the subject TP is optimized.

In particular, optimization of circadian rhythm is known to be effective in improving dementia. Therefore, when the subject TP is a dementia patient, the dementia of the subject TP can be improved.

(3) Database The database of the present embodiment will be described. The following database is stored in the storage device 31.

(3-1) Target person information database The target person information database of the present embodiment will be described. FIG. 4 is a diagram showing a data structure of the target person information database of the present embodiment.

The target person information is stored in the target person information database of FIG. The target person information is information about the target person.
The target person information database includes a "target person ID" field, a "target person name" field, a "target person attribute" field, and an "eigenspace ID" field. Each field is associated with each other.

Target person identification information is stored in the "target person ID" field. The target person identification information is information that identifies the target person.

The target person name information is stored in the "target person name" field. The target person name information is information regarding the name of the target person.

Target person attribute information is stored in the target person attribute field. The target person attribute information is information related to the target person's attributes. The Subject Attributes field includes a Gender field, an Age field, and a Disease field.

Gender information is stored in the "Gender" field. Gender information is information about the gender of the subject.

Age information is stored in the "Age" field. The age information is information on the age of the subject.

Disease information is stored in the "disease" field. The disease information is information about the disease of the subject. Disease information includes, for example, at least one of the following:
-Types of disease in the subject (for example, information on the type of dementia (eg, Alzheimer's dementia, Lewy body dementias, or pathological dementia))
・ Information on the degree of illness (for example, dementia level) of the subject

In the "eigenspace ID" field, eigenspace identification information that identifies the eigenspace used by the target person is stored.

(3-2) Spatial Information Database The spatial information database of the present embodiment will be described. FIG. 5 is a diagram showing a data structure of the spatial information database of the present embodiment.

Spatial information is stored in the spatial information database of FIG. Spatial information is information about space.
The spatial information database includes a "spatial ID" field, a "spatial name" field, a "location" field, a "spatial attribute" field, and a "control pattern" field. Each field is associated with each other.

Spatial identification information is stored in the "spatial ID" field. Spatial identification information is information that identifies a space.

Space name information is stored in the "Space name" field. The space name information is information related to the name of the space. The space name information includes, for example, information (for example, a room number) arbitrarily determined by an administrator who manages the space.

Location information is stored in the Location field. Location information is information about the location of a space. The Location field includes a Floor field and a Location field.

Floor information is stored in the "floor" field. Floor information is information about the floor on which the space is located.

Spatial location information is stored in the "Position" field. Spatial position information is information about the position of space on the floor.

Spatial attribute information is stored in the "spatial attribute" field. Spatial attribute information is information about spatial attributes. The "Spatial Attributes" field includes a "Type" field and an "Area" field.

Spatial type information is stored in the "Type" field. The space type information is information related to the type of space. The space type information includes, for example, at least one of the following.
-"Eigenspace": means an eigenspace unique to each subject TP.
-"Shared space": means a shared space shared by a plurality of target person TPs.
-"Staff space": means a dedicated space for staff who provide services to the target person TP at the facility.

Spatial area information is stored in the "Area" field. Spatial area information is information about the area of space.

Control pattern information is stored in the "control pattern" field. The control pattern information is information regarding a control pattern of lighting.

(3-3) Lighting Information Database The lighting information database of the present embodiment will be described. FIG. 6 is a diagram showing a data structure of the lighting information database of the present embodiment.

Lighting information is stored in the lighting information database of FIG. The lighting information is information about the lighting device 50.
The lighting information database includes a "lighting ID" field, a "lighting attribute" field, and a "state" field. Each field is associated with each other.

Lighting identification information is stored in the "lighting ID" field. The lighting identification information is information for identifying the lighting device 50.

Lighting attribute information is stored in the "lighting attribute" field. The lighting attribute information is information regarding the attributes of the lighting device 50. The "lighting attribute" field includes a "type" field and a "spatial ID" field.

Lighting type information is stored in the "Type" field. The illumination type information is information regarding the type of the illumination device 50. The type of lighting includes, for example, at least one of the following:
・ Ceiling light ・ Desktop light ・ Indirect lighting

In the "spatial ID" field, spatial identification information of the space in which the lighting device 50 is arranged is stored.

Lighting status information is stored in the Status field. The lighting state information is information regarding the state of the lighting device 50. The lighting control device 30 acquires the lighting identification information and the lighting state information from the lighting device 50 each time the state of the lighting device 50 changes, and the lighting state is entered in the "state" field associated with the lighting identification information. Store information. The lighting state information includes, for example, at least one of the following.
-"On": The power of the lighting device 50 is turned on and the lighting is on.-"Sleep": The power of the lighting device 50 is turned on and the lighting is not turned on. -"Off": The state in which the power of the lighting device 50 is not turned on.

(3-4) Behavior information database The behavior information database of the present embodiment will be described. FIG. 7 is a diagram showing a data structure of the behavior information database of the present embodiment.

The behavior information is stored in the behavior information database of FIG. 7. The behavior information is information regarding the behavior history of the subject TP.
The behavioral information includes, for example, at least one of the following.
-Information measured by the wearable device worn by the subject TP-Action plan information stored in the storage device 31 (information about the subject TP's action plan)
-Behavior record information stored in the storage device 31 (information on the action record of the target person TP)

The action information database includes an "action ID" field, an "action period" field, and an "action type" field. Each field is associated with each other.
The behavior information database is associated with the subject identification information.

The action identification information is stored in the "action ID" field. The behavior identification information is information that identifies the behavior information.

The action period information is stored in the action period field. The action period information is information regarding the period during which the subject TP acted.

The action type information is stored in the "action type" field. The action type information is information on the type of action of the subject TP outside the facility. The action type information includes, for example, at least one of the following.
・ Exercise information about outdoor exercise ・ Overnight information about staying out

(3-5) Biometric Information Database The biometric information database of the present embodiment will be described. FIG. 8 is a diagram showing a data structure of the biometric information database of the present embodiment.

Biometric information is stored in the biometric information database of FIG. The biometric information is information related to the history of biometric information of the subject TP.
The biological information includes, for example, at least one of the following.
-Biological information measured by a wearable device worn by the subject TP-Biological information stored in the storage device 31 (as an example, information regarding the result of measurement performed on the subject TP).

The biometric information database includes a "biological ID" field, a "time" field, and a "biological" field. Each field is associated with each other.
The biometric information database is associated with the subject identification information.

The biometric identification information is stored in the "biometric ID" field. The biometric information is information that identifies biometric information.

The time information corresponding to the biometric information is stored in the "time" field. The time information is information related to the time when the biological information was acquired.

Biological information is stored in the "biological" field. The biological information is information about the living body of the subject TP. The biological information includes, for example, at least one of the following.
・ Pulse information related to pulse ・ Body temperature information related to body temperature ・ Height information related to height ・ Weight information related to weight ・ Blood oxygen concentration information related to blood oxygen concentration ・ Information related to the eyeball (as an example, information related to the response level to light stimulation)

(4) Information processing The information processing of the present embodiment will be described. FIG. 9 is a sequence diagram of the lighting control process of the present embodiment. FIG. 10 is a schematic view of the spectrum model of the present embodiment.

The lighting control process of FIG. 9 is executed repeatedly, for example, constantly (that is, throughout the day).

The lighting control device 30 executes reference information reference (S130).
Specifically, the processor 32 refers to the execution time of step S130 as reference information.

After step S130, the illumination control device 30 performs spectrum calculation (S131).
Specifically, the storage device 31 stores a spectrum model. The spectrum model describes the correlation between time and spectrum.

As shown in FIG. 10, the optimum concentration of melatonin to be secreted by a person (hereinafter referred to as “optimal melatonin concentration”) changes with time. For example, the optimum melatonin concentration is substantially constant from 8:00 to 16:00, the optimum melatonin concentration from 16:00 to 24:00 increases with the passage of time, and the optimum melatonin from 24:00 to 8:00 the next day. The concentration decreases with the passage of time.
In the spectrum model, a spectrum for emitting light capable of secreting melatonin corresponding to the optimum melatonin concentration corresponding to each time in FIG. 10 is described.

The processor 32 calculates the spectrum according to the time by inputting the time specified in step S130 into the spectrum model.

After step S131, the lighting control device 30 executes the identification of the lighting state (S132).
Specifically, the processor 32 refers to the "state" field of the lighting information database (FIG. 6) to identify the lighting state associated with the lighting-specific information of the target lighting.

After step S132, the lighting control device 30 executes lighting control (S133).

Specifically, the processor 32 generates a lighting control signal for emitting light according to the spectrum obtained in step S131 to the lighting device 50 identified as the lighting state “on” in step S132. ..
The processor 32 turns on the lighting device 50 and emits light according to the spectrum determined in step S131 with respect to the lighting device 50 identified as the lighting state “sleep” in step S132. Generate a signal.
The processor 32 transmits the generated lighting control signal to each lighting device 50.

After step S133, the lighting device 50 executes light emission (S110).
Specifically, the lighting device 50 emits light having a spectrum corresponding to the lighting control signal transmitted from the lighting control device 30 in step S133.

According to the present embodiment, the lighting device 50 arranged in each space (eigenspace and shared space) of the facility emits light having a spectrum corresponding to the time of day. As a result, the subject TP staying at the facility is exposed to time-appropriate light throughout the day. This makes it possible to optimize the circadian rhythm of the subject TP.

In particular, it is known that dementia is improved by optimizing the circadian rhythm. According to this embodiment, when the subject TP is a dementia patient, the dementia of the subject TP can be improved.

(5) Modification Example A modification of the present embodiment will be described.

(5-1) Modification 1
Modification 1 will be described. The first modification is an example in which the lighting device 50 is controlled according to the attributes of the subject (for example, at least one of age and disease).

Information processing of the first modification will be described with reference to FIG.

In the reference of the reference information (S130), the processor 32 refers to the target person information database (FIG. 4) associated with the target person identification information of each target person TP, and refers to the target person attribute information of each target person TP (for example, , Disease information).
The processor 32 specifies a combination of the execution time of step S130 and the specified target person attribute information as reference information.

In the spectrum calculation (S131), the spectrum model describes the combination of the time and subject attribute information and the correlation with the spectrum.
The processor 32 calculates the spectrum according to the combination of the time and the target person attribute by inputting the combination of the time and the target person attribute information specified in step S130 into the spectrum model.

For example, in the spectrum model, the correlation is described so that the higher the dementia level of the subject TP, the higher the output level. This makes it possible to optimize the circadian rhythm of the subject TP suffering from a symptom of a low response level to light stimuli.

For example, in the spectrum model, the correlation is described so that the older the subject TP, the higher the output level. This makes it possible to optimize the circadian rhythm of the subject TP whose response level to light stimulation is reduced.

After step S131, the lighting control device 30 executes the identification of the lighting state (S132) to the control of the lighting (S133) as in the present embodiment.

After step S133, the lighting device 50 executes light emission (S110) as in the present embodiment.

According to the first modification, the lighting device 50 emits light according to the attribute of the subject TP. As a result, the subject TP is exposed to light optimized according to its own attributes. This makes it possible to further optimize the circadian rhythm of the subject TP.

In particular, the subject TP is exposed to light optimized for the degree of his dementia. Thereby, the symptom of dementia of the subject TP can be improved.

(5-2) Modification 2
Modification 2 will be described. The second modification is an example in which the lighting device 50 is controlled according to the behavior of the subject.

Information processing of the second modification will be described with reference to FIG.

In the reference of the reference information (S130), the processor 32 identifies the behavior information of each target person TP by referring to the behavior information database (FIG. 7) associated with the target person identification information of each target person TP.
The processor 32 specifies a combination of the execution time of step S130 and the specified action information as reference information.

In the calculation of the spectrum (S131), the irradiation model is stored in the storage device 31. In the irradiation model, the correlation between the behavior information and the spectrum to be received is described.
The spectrum model describes the combination of time and spectrum and the correlation with the spectrum.
The processor 32 calculates the spectrum to be applied according to the behavior by inputting the behavior information identified in step S130 into the spectrum model.
The processor 32 calculates the spectrum corresponding to the combination of time and spectrum (that is, the combination of time and action) by inputting the combination of time and spectrum to be identified in step S130 into the spectrum model.

For example, the spectrum-received model describes the correlation between the sleepover period of the subject TP and the spectrum-received period.
The inspected model outputs a lower inspected spectrum as the staying period is longer than when the subject TP is staying at the facility.
In this case, the spectrum model outputs a spectrum having a higher output level as the staying period is longer.

After step S131, the lighting control device 30 executes the identification of the lighting state (S132) to the control of the lighting (S133) as in the present embodiment.

After step S133, the lighting device 50 executes light emission (S110) as in the present embodiment.

According to the second modification, the lighting device 50 emits light according to the behavior of the subject TP. As a result, the subject TP is exposed to light optimized according to his / her behavior. This makes it possible to further optimize the circadian rhythm of the subject TP.

(5-3) Modification 3
Modification 3 will be described. The third modification is an example in which the lighting device 50 is controlled according to the biological state of the subject.

Information processing of the third modification will be described with reference to FIG.

In reference to the reference information (S130), the processor 32 identifies the biometric information of each subject TP with reference to the biometric information database (FIG. 8) associated with the subject identification information of each subject TP.
The processor 32 specifies a combination of the execution time of step S130 and the specified biometric information as reference information.

In the spectrum calculation (S131), the spectrum model describes the combination of time and biological information and the correlation with the spectrum.
The processor 32 calculates the spectrum according to the combination of the time and the living body by inputting the combination of the time and the biological information specified in step S130 into the spectrum model.

After step S131, the lighting control device 30 executes the identification of the lighting state (S132) to the control of the lighting (S133) as in the present embodiment.

After step S133, the lighting device 50 executes light emission (S110) as in the present embodiment.

According to the third modification, the lighting device 50 emits light according to the biological state of the subject TP. As a result, the subject TP is exposed to light optimized according to its own biological condition. This makes it possible to further optimize the circadian rhythm of the subject TP.

(5-4) Modification 4
Modification 4 will be described. Modification 4 is an example in which the lighting device 50 is controlled according to an external factor.

(5-4-1) First Example of Modified Example 4 The first example of the modified example 4 will be described. The first example of the modified example 4 is an example in which the external factor is the amount of sunshine.

In reference to the reference information (S130), the processor 32 receives information on the amount of sunshine (hereinafter referred to as “sunshine amount information”) from a sensor arranged outside the facility or a server connected via the communication interface 34. get.
The processor 32 specifies a combination of the execution time of step S130 and the amount of sunshine information as reference information.

In the calculation of the spectrum (S131), the spectrum model describes the combination of the time and the amount of sunshine and the correlation with the spectrum.
The processor 32 calculates the spectrum corresponding to the combination of the time and the amount of sunshine by inputting the combination of the time and the amount of sunshine specified in step S130 into the spectrum model.

After step S131, the lighting control device 30 executes the identification of the lighting state (S132) to the control of the lighting (S133) as in the present embodiment.

After step S133, the lighting device 50 executes light emission (S110) as in the present embodiment.

(5-4-2) Second Example of Modified Example 4 A second example of Modified Example 4 will be described. The second example of the modified example 4 is an example of controlling the lighting device 50 according to the season.

In reference to the reference information (S130), the processor 32 estimates the season (for example, spring, summer, autumn, and winter) from the execution time of step S130.
The processor 32 specifies the execution time of step S130 and the specified combination of seasons as reference information.

In the spectrum calculation (S131), a seasonal spectrum model is described in the storage device 31. Each spectrum model describes the correlation between time and spectrum.
Processor 32 identifies the seasonal spectral model identified in step S130.
The processor 32 calculates the spectrum according to the combination of time and season by inputting the time specified in step S130 into the spectrum model.

For example, in a sunny season (for example, summer), the spectrum model outputs a spectrum to reproduce the color temperature reminiscent of that season.

After step S131, the lighting control device 30 executes the identification of the lighting state (S132) to the control of the lighting (S133) as in the present embodiment.

After step S133, the lighting device 50 executes light emission (S110) as in the present embodiment.

(5-4-3) Third Example of Modified Example 4 A third example of Modified Example 4 will be described. The third example of the modification 4 is an example in which the lighting device 50 is controlled according to at least one of the temperature and humidity of the space.

In the third example of the modified example 4, an air sensor is arranged in each space.
The air sensor is configured to measure at least one of the temperature and humidity of the space.

In the reference information reference (S130), the processor 32 acquires at least one measurement result of temperature and humidity from the sensor.
The processor 32 specifies a combination of the execution time of step S130 and the acquired measurement result (that is, at least one of the temperature and humidity of each space) as reference information.

In the calculation of the spectrum (S131), the storage device 31 describes a spectrum model for at least one of temperature and humidity. Each spectrum model describes the correlation between time and spectrum.
The processor 32 identifies the spectral model corresponding to the measurement result identified in step S130.
The processor 32 calculates the spectrum according to the combination of the time and the measurement result by inputting the time specified in step S130 into the spectrum model.

According to the fourth modification, the lighting device 50 emits light according to an external factor (for example, at least one of the amount of sunshine, the season, the temperature, and the humidity). As a result, the subject TP is exposed to light optimized for the external factors, even if the circadian rhythm is affected by the external factors. This makes it possible to further optimize the circadian rhythm of the subject TP.

(5-5) Modification 5
Modification 5 will be described. Modification 5 is an example in which a control pattern of the lighting device 50 is set for each lighting device 50 according to a user's instruction.

(5-5-1) First Example of Modified Example 5 The first example of Modified Example 5 will be described. The first example of the modification 5 is an example in which the user specifies time difference information (an example of "control pattern information"). The time difference information is information about the time difference to be applied to the time input to the spectrum model.

(5-5-1-1) First Example of Time Difference Information The first example of time difference information will be described.

For example, when the user specifies the time difference information "+1 hour" using the client device 10, the processor 32 acquires the time difference information "+1 hour" from the client device 10.

In reference to the reference information (S130), the processor 32 calculates the adjustment time by adding the time indicated by the time difference information (hereinafter referred to as “time difference time”) to the execution time of step S130.
The processor 32 specifies the adjustment time as reference information. As an example, when the execution time is 9 o'clock and the time difference time is +1 hour, the processor 32 specifies the adjustment time "10 o'clock" (9 o'clock + 1 hour) as reference information.

(5-5-1-2) Second Example of Time Difference Information A second example of time difference information will be described.

For example, a user (for example, a facility manager) sets the start time of work at a predetermined time (for example, a facility manager) for a space used by a staff member who works at night (hereinafter referred to as "night shift staff") among the staff members who work at the facility. For example, time difference information (an example of "control pattern information") to be regarded as 8 o'clock) is set.
The processor 32 calculates the adjustment time by adding the time difference time to the execution time.
The processor 32 specifies the adjustment time as reference information.

According to the first example of the modification 5, the lighting device 50 emits light at a timing corresponding to the time difference information specified by the user. Thereby, the user can optimize the circadian rhythm according to a desired schedule (for example, the operation schedule of the facility managed by the user).

In particular, when the user sets the time difference information about the space used by the night shift staff, the circadian rhythm of the target person TP should be optimized when the night shift staff is not working (for example, before the target person TP goes to bed). And when the night shift staff is working (for example, after the subject TP goes to bed), the circadian rhythm of the night shift staff can be optimized.

(5-5-2) Second Example of Modified Example 5 A second example of Modified Example 5 will be described. The second example of the modification 5 is an example in which the lighting device 50 is controlled according to an output level (hereinafter referred to as “user output level”) specified by the user. The user output level is an example of control pattern information.

(5-5-2-1) First Example of User Output Level The first example of the user output level will be described.

For example, when the user specifies the spectral coefficient "80%" via the client device 10, the processor 32 acquires the spectral coefficient "80%" from the client device 10.

In the calculation of the spectrum (S131), the processor 32 calculates the spectrum according to the time (hereinafter referred to as “pre-change spectrum”) by inputting the time specified in step S130 into the spectrum model.
The processor 32 calculates the spectrum corresponding to the spectrum coefficient (hereinafter referred to as “changed spectrum”) by applying the spectrum coefficient “80%” to the spectrum before the change.

In lighting control (S133), processor 32 refers to the modified spectrum calculated in step S131.

(5-5-2-2) Second Example of User Output Level A second example of the user output level will be described.

For example, when the user specifies the target person identification information and the spectrum coefficient “80%” of the predetermined target person TP via the client device 10, the processor 32 receives the target person identification information and the spectrum coefficient “80%” from the client device 10. 80% "is acquired.

In the spectrum calculation (S131), the processor 32 calculates the unchanged spectrum by inputting the time specified in step S130 into the spectrum model.
The processor 32 calculates the spectrum corresponding to the spectrum coefficient (hereinafter referred to as “changed spectrum”) by applying the spectrum coefficient “80%” to the spectrum before the change.

In the lighting control (S133), the processor 32 refers to the subject information database (FIG. 4) to identify the eigenspace identification information associated with the subject identification information acquired from the client device 10.
The processor 32 refers to the lighting information database (FIG. 6) to identify the lighting identification information associated with the identified eigenspace identification information.
The processor 32 generates a lighting control signal for emitting light according to the changed spectrum to the lighting device 50 corresponding to the specified lighting identification information.
The processor 32 generates a lighting control signal for causing the lighting device 50 that does not correspond to the specified lighting identification information to emit light according to the spectrum before the change.

According to the second example of the modification 5, the user (for example, the manager of the facility) can optimize the circadian rhythm of the subject TP using a desired output level.

(5-6) Modification 6
A modification 6 will be described. Modification 6 is an example in which the subject information includes a spectrum of light exposed to the user (hereinafter referred to as “spectrum”).

(5-6-1) Configuration of Lighting Control System The configuration of the lighting control system of Modification 6 will be described. FIG. 11 is a block diagram showing the configuration of the lighting control system of the modified example 6.

As shown in FIG. 11, the client device 10, the lighting control device 30, the lighting device 50, and the wearable sensor 70 are provided.
The client device 10, the lighting control device 30, the lighting device 50, and the wearable sensor 70 are connected via a network (for example, the Internet or an intranet) NW.

The configurations of the client device 10, the lighting control device 30, and the lighting device 50 are the same as those in FIG.

The subject TP of the modification 6 is equipped with the wearable sensor 70. The wearable sensor 70 is configured to measure the time transition of the spectrum of the irradiated light of the subject TP.

(5-6-2) Data Structure of Illuminated Light Information Database The data structure of the illuminated light information database of Modification 6 will be described. FIG. 12 is a diagram showing a data structure of the irradiated light information database of the modified example 6.

The illuminated light information database of FIG. 12 stores the illuminated light information (an example of "target person information"). The irradiated light information is information regarding the history of the time transition of the irradiated light of the subject TP.
The illuminated light information database includes an "irradiated light ID" field, a "measurement date and time" field, and a "spectrum" field.
The illuminated light information database is associated with the subject identification information.
The illuminated light information database is constructed by the information acquired from the wearable sensor 70 by the lighting control device 30.

The irradiated light identification information is stored in the “illuminated light ID” field. The irradiated light identification information is information for identifying the irradiated light information.

The measurement date and time information is stored in the "measurement date and time" field. The measurement date and time information is information regarding the date and time when the irradiated light was measured.

The "spectrum" field stores the spectrum information. The spectrumd information is information regarding the measurement result of the spectrum of the light exposed to the subject TP.

(5-6-3) Information processing The information processing of the modification 6 will be described. FIG. 13 is a sequence diagram of the lighting control process of the modification 6.

The lighting control process of FIG. 13 is, for example, repetitively executed at all times (that is, throughout the day).

The lighting control device 30 executes the estimation of the past circadian rhythm (S330).
Specifically, the processor 32 uses the “illuminated light information database (FIG. 12)” of the illuminated light information database (FIG. 12) associated with the subject identification information of the subject TP (for example, the subject TP staying in the eigenspace to be controlled). The spectrumd information is specified for a predetermined period (for example, 24 hours) with reference to the spectrumd field.
The circadian rhythm model is stored in the storage device 31. The circadian rhythm model describes the correlation between the non-spectral information of a predetermined period and the circadian rhythm of the period.
The processor 32 determines the circadian rhythm (hereinafter referred to as "past circadian rhythm") according to the circadian rhythm by inputting the specified circadian information into the circadian rhythm model.
The past circadian rhythm is a circadian rhythm that is presumed to have been formed by the light that the user has been exposed to in the past.

After step S330, the lighting control device 30 executes reference information reference (S130) as in FIG.

After step S130, the illumination control device 30 performs spectrum calculation (S131).
Specifically, the storage device 31 stores a spectrum model. The spectrum model describes the combination of time and past circadian rhythms and the correlation with the spectrum.
The processor 32 calculates the spectrum according to the combination of the past circadian rhythm and the time by inputting the past circadian rhythm specified in step S330 and the time specified in step S130 into the spectrum model.

After step S131, the illumination control device 30 executes the identification of the illumination state (S132) to the illumination control (S133) in the same manner as in FIG.

After step S133, the lighting device 50 executes light emission (S150) in the same manner as in FIG.

According to the sixth modification, the spectrum of light for optimizing the future circadian rhythm is calculated in consideration of the past circadian rhythm formed by the light exposed in the past life. This makes it possible to further optimize the circadian rhythm.

(6) Appendix The first aspect of this embodiment is
A lighting control device 30 that optimizes the circadian rhythm of a subject by using a plurality of lighting devices 50 arranged in a space where at least one subject stays.
A means (for example, a processor 32 that executes step S131) for calculating the spectrum of each illuminating device 50 by inputting the time into a spectrum model in which the correlation between the optimum circadian rhythm and the time is described is provided.
A means for controlling each illuminating device 50 (for example, a processor 32 for executing step S132) with reference to the determined spectrum is provided.
The lighting control device 30.

According to the first aspect, the lighting device 50 arranged in each space (eigenspace and shared space) of the facility emits light having a spectrum according to the time. As a result, the subject TP staying at the facility is exposed to time-appropriate light throughout the day. This makes it possible to optimize the circadian rhythm of the subject TP.

The second aspect of this embodiment is
The means of determining is to calculate the spectrum with further reference to the subject information about the subject.
The lighting control device 30 of the first aspect.

According to the second aspect, the lighting device 50 emits light according to the attribute of the subject TP. As a result, the subject TP is exposed to light optimized according to its own attributes. This makes it possible to further optimize the circadian rhythm of the subject TP.

The third aspect of this embodiment is
The subject information includes disease information related to the subject's disease,
The lighting control device 30 of the second aspect.

According to the third aspect, the lighting device 50 emits light according to the disease of the subject TP. As a result, the subject TP is exposed to light optimized for his or her disease. This makes it possible to further optimize the circadian rhythm of the subject TP.

The fourth aspect of this embodiment is
Disease information includes information about the type of disease in the subject,
The lighting control device 30 of the third aspect.

According to the fourth aspect, the lighting device 50 emits light according to the type of disease of the subject TP. As a result, the subject TP is exposed to light optimized for the type of disease. This makes it possible to further optimize the circadian rhythm of the subject TP.

A fifth aspect of this embodiment is
Disease information includes information about the subject's disease level,
The lighting control device 30 of the third aspect or the fourth aspect.

According to the fifth aspect, the lighting device 50 emits light according to the disease level of the subject TP. As a result, the subject TP is exposed to light optimized for the level of their disease. This makes it possible to further optimize the circadian rhythm of the subject TP.

The sixth aspect of this embodiment is
Target person information includes behavioral information regarding the behavior of the target person,
The lighting control device 30 according to any one of the second to fifth aspects.

According to the sixth aspect, the lighting device 50 emits light according to the behavior of the subject TP. As a result, the subject TP is exposed to light optimized according to his / her behavior. This makes it possible to further optimize the circadian rhythm of the subject TP.

The seventh aspect of this embodiment is
The behavioral information includes at least one of the exercise information regarding the subject's exercise outside the facility and the overnight stay information regarding the subject's overnight stay.
The lighting control device 30 of the sixth aspect.

According to the seventh aspect, the lighting device 50 emits light according to the activity of the subject TP outside the facility. As a result, the subject TP is exposed to light optimized according to its own activity. This makes it possible to further optimize the circadian rhythm of the subject TP.

The eighth aspect of this embodiment is
The subject information includes biological information about the subject's living body,
The lighting control device 30 according to any one of the second to seventh aspects.

According to the eighth aspect, the lighting device 50 emits light according to the living body of the subject TP. As a result, the subject TP is exposed to light optimized according to its own living body. This makes it possible to further optimize the circadian rhythm of the subject TP.

The ninth aspect of this embodiment is
The subject information includes the subject spectrum of the subject,
The lighting control device 30 according to any one of the second to eighth aspects.

According to the ninth aspect, the lighting device 50 emits light according to the spectrum of the subject TP. As a result, the subject TP is exposed to light optimized according to its own spectrum. This makes it possible to further optimize the circadian rhythm of the subject TP.

The tenth aspect of this embodiment is
The means of determining is to calculate the spectrum according to the sunshine information,
The lighting control device 30 according to any one of the first to ninth aspects.

According to the tenth aspect, the lighting device 50 emits light in response to sunlight. As a result, the subject TP is exposed to the light optimized according to the spectrum of the light from the sunlight that the subject TP is exposed to. This makes it possible to further optimize the circadian rhythm of the subject TP.

The eleventh aspect of this embodiment is
The means to determine is to calculate the spectrum according to the time,
The lighting control device 30 according to any one of the first to tenth aspects.

According to the eleventh aspect, the lighting device 50 emits light depending on the time. As a result, the subject TP is exposed to light optimized according to the time. This makes it possible to further optimize the circadian rhythm of the subject TP.

The twelfth aspect of this embodiment is
A means for acquiring control pattern information regarding the control pattern of the lighting device 50 (for example, a processor 32 that executes step S130) is provided according to a user's instruction.
The means for determining is to calculate the spectrum with further reference to the control pattern information.
The lighting control device 30 according to any one of the first to eleventh aspects.

According to the twelfth aspect, the lighting device 50 emits light according to the control pattern selected from the plurality of control patterns. As a result, the subject TP is exposed to light according to the control pattern. As a result, the circadian rhythm of the subject TP can be flexibly adjusted.

The thirteenth aspect of this embodiment is
A plurality of lighting devices 50 arranged in a space where at least one subject stays,
Equipped with a lighting control device 30 that optimizes the circadian rhythm of the subject,
The lighting control device 30
A means (for example, a processor 32 that executes step S131) for calculating the spectrum of each lighting device 50 by inputting the time into a spectrum model in which the correlation between the optimum circadian rhythm and the time is described is provided.
A means for controlling each illuminating device 50 (for example, a processor 32 for executing step S132) with reference to the determined spectrum is provided.
It is a lighting control system.

According to the thirteenth aspect, the lighting device 50 arranged in each space (eigenspace and shared space) of the facility emits light having a spectrum according to the time. As a result, the subject TP staying at the facility is exposed to time-appropriate light throughout the day. This makes it possible to optimize the circadian rhythm of the subject TP.

The fourteenth aspect of this embodiment is
It is a program for making a computer function as each means of any one of 1st to 13th aspects.

According to the fourteenth aspect, the lighting device 50 arranged in each space (eigenspace and shared space) of the facility emits light having a spectrum according to the time. As a result, the subject TP staying at the facility is exposed to time-appropriate light throughout the day. This makes it possible to optimize the circadian rhythm of the subject TP.

The fifteenth aspect of this embodiment is
A lighting control method that optimizes the circadian rhythm of a subject by using a plurality of lighting devices 50 arranged in a space where at least one subject stays.
A step (for example, a processor 32 that executes step S131) of calculating the spectrum of each illuminating device 50 by inputting the time into a spectrum model in which the correlation between the optimum circadian rhythm and the time is described is provided.
With reference to the determined spectrum, each illuminating device 50 comprises a step of controlling (eg, a processor 32 performing step S132).
It is a lighting control method.

According to the fifteenth aspect, the lighting device 50 arranged in each space (eigenspace and shared space) of the facility emits light having a spectrum according to the time. As a result, the subject TP staying at the facility is exposed to time-appropriate light throughout the day. This makes it possible to optimize the circadian rhythm of the subject TP.

According to the first aspect
can.

(7) Other modifications

In the present embodiment, an example is shown in which the lighting control process of FIG. 9 is repeatedly executed, for example, constantly (that is, throughout the day) (that is, an example of real-time processing). However, the scope of this embodiment is not limited to this. This embodiment is also applicable to an example in which the lighting control process is executed at regular time intervals (for example, 4 hours) (that is, an example of batch processing).
In this case, in the spectrum calculation (S131), the processor 32 calculates the spectrum for a certain period of time.
In the lighting control (S133), the processor 32 transmits a lighting control signal for a certain period of time to each lighting device 50.

In this embodiment, an example is shown in which the subject TP is a person. The scope of this embodiment is not limited to this. This embodiment is also applicable when the subject TP is a moving organism (for example, an animal, an aquatic organism, or an insect).

In this embodiment, an example of emitting light having a spectrum according to the time of day is shown. However, the scope of this embodiment is not limited to this. This embodiment can also be applied to an example in which the light emitting state (for example, on or off) of the lighting device 50 is switched according to the presence or absence of the subject TP in the space.
In this case, for example, a motion sensor is arranged in the space. The motion sensor is configured to detect the presence or absence of a person in the space.
The processor 32 acquires a signal indicating a detection result (that is, the presence or absence of a person in the space) from the motion sensor in reference to the reference information (S131).
Regardless of the spectrum determined in the spectrum calculation (S131), the processor 32 stops the light emission of the lighting device 50 arranged in the space when the signal acquired from the motion sensor indicates the absence of a person. That is, the processor 32 treats the signal (presence or absence of a person in space) acquired from the motion sensor as superior information to the spectrum model.
As a result, unnecessary light emission (for example, wasteful power consumption) can be suppressed in a situation not assumed by the spectrum model.

In the modification 6, an example of setting a control pattern according to a user instruction is shown. However, the scope of this embodiment is not limited to this. This embodiment can also be applied to an example of switching the light emitting state (for example, on or off) of the lighting device 50 according to a user instruction.
In this case, for example, the user gives an instruction to the client device 10 to turn off the lighting device 50 in a space where no person is present (for example, a shared space).
The processor 12 transmits a user instruction to the lighting control device 30.
The processor 32 stops the light emission of the lighting device 50, which is the target of the user instruction, in response to the user instruction transmitted from the client device 10, regardless of the spectrum determined in the spectrum calculation (S131). That is, the processor 32 treats the user instruction as information superior to the spectrum model.
As a result, the user can arbitrarily suppress unnecessary light emission (for example, wasteful power consumption) in a situation not assumed by the spectrum model.

In the present embodiment, the lighting control device 30 shows an example of controlling the lighting device 50, but the scope of the present embodiment is not limited to this. The lighting control device 30 can also be applied to adjust the light that affects the circadian rhythm by controlling at least one of the following, for example.
-Electronic devices with displays (for example, at least one monitor, smartphone, tablet terminal, and personal computer)
An active dimming filter whose optical characteristics can be controlled (as an example, a filter mounted on the light emitting surface of the lighting device 50).

In the spectrum model of the present embodiment, the combination of the time and the information regarding the recording before the subject TP starts staying at the facility (hereinafter referred to as "pre-target information") and the correlation with the spectrum are described. May be done. As an example, when the reference subject information indicates severe dementia, the spectrum model outputs a spectrum in which the light stimulus gradually becomes stronger than the spectrum of the light to be irradiated to the other subject TP.
The prior subject information is, for example, information regarding a record of symptoms suffered by the subject TP (for example, a record of treatment).
In the reference of the reference information (S130), the processor 32 acquires the prior target person information and the time stored in the storage device 31 as the reference information.
In the spectrum calculation (S131), the processor 32 calculates the spectrum according to the combination of the reference target person information and the time by inputting the reference target person information and the time acquired in step S130 into the spectrum model.
This makes it possible to optimize the circadian rhythm while suppressing excessive light stimulation of the subject TP who starts staying at the facility.

In the spectrum model of the present embodiment, the correlation between the combination of the time and the upper limit of the intensity of the light stimulus (hereinafter referred to as “upper limit light stimulus”) and the spectrum may be described.
In the reference of the reference information (S130), the processor 32 acquires at least one of the upper limit light stimulus specified by the user and the predetermined upper limit light stimulus and the time as the reference information via the client device 10.
In the spectrum calculation (S131), the processor 32 calculates the spectrum according to the combination of the time and the upper limit light stimulus by inputting the time and the upper limit light stimulus specified in step S130 into the spectrum model.
As a result, the circadian rhythm can be optimized while suppressing the light stimulus given to the subject TP below the upper limit light stimulus.

The storage device 11 may be connected to the client device 10 via the network NW. The storage device 31 may be connected to the lighting control device 30 via the network NW.

Each step of the above information processing can be executed by either the client device 10 or the lighting control device 30.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited to the above embodiments. Further, the above-described embodiment can be improved or modified in various ways without departing from the spirit of the present invention. Moreover, the above-described embodiment and modification can be combined.

1: Lighting control system 10: Client device 11: Storage device 12: Processor 13: Input / output interface 14: Communication interface 30: Lighting control device 31: Storage device 32: Processor 33: Input / output interface 34: Communication interface 50: Lighting device 70: Wearable sensor

Claims (15)

A lighting control device that optimizes the circadian rhythm of the subject by using a plurality of lighting devices arranged in a space where at least one subject stays.
It has a means to calculate the spectrum of each luminaire by inputting the time into a spectrum model that describes the correlation between the optimal circadian rhythm and the time.
A means for controlling each illuminating device with reference to the determined spectrum is provided.
Lighting control device. The determining means further references subject information about the subject to calculate the spectrum.
The lighting control device according to claim 1. The subject information includes disease information related to the subject's disease.
The lighting control device according to claim 2. The disease information includes information on the type of disease of the subject.
The lighting control device according to claim 3. The disease information includes information about the level of the subject's disease.
The lighting control device according to claim 3 or 4. The target person information includes behavioral information regarding the behavior of the target person.
The lighting control device according to any one of claims 2 to 5. The behavioral information includes at least one of the exercise information regarding the exercise of the subject outside the facility and the overnight stay information regarding the subject's overnight stay.
The lighting control device according to claim 6. The subject information includes biological information about the subject's living body.
The lighting control device according to any one of claims 2 to 7. The subject information includes the spectrum of the subject.
The lighting control device according to any one of claims 2 to 8. The determining means calculates a spectrum according to the sunshine information.
The lighting control device according to any one of claims 1 to 9. The determination means calculates the spectrum according to the time.
The lighting control device according to any one of claims 1 to 10. A means for acquiring control pattern information regarding the control pattern of the lighting device according to a user's instruction is provided.
The determining means further references the control pattern information to calculate the spectrum.
The lighting control device according to any one of claims 1 to 11. Equipped with multiple lighting devices located in the space where at least one subject stays
It is equipped with a lighting control device that optimizes the circadian rhythm of the subject.
The lighting control device is
It has a means to calculate the spectrum of each luminaire by inputting the time into a spectrum model that describes the correlation between the optimal circadian rhythm and the time.
A means for controlling each illuminating device with reference to the determined spectrum is provided.
Lighting control system. A program for causing a computer to function as each means according to any one of claims 1 to 13. A lighting control method that optimizes the circadian rhythm of the subject by using a plurality of lighting devices arranged in a space where at least one subject stays.
It includes a step to calculate the spectrum of each luminaire by entering the time into a spectrum model that describes the correlation between the optimal circadian rhythm and the time.
With reference to the determined spectrum, the step of controlling each illuminating device is provided.
Lighting control method.

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