Illumination system

Abstract

To provide an illumination system that can provide an illumination environment appropriate according to an object person.SOLUTION: An illumination system includes: an illumination device; a vital sensor that measures a vital value which is an index value of the heartbeat or the pulse of an object person; and controller that controls the illumination device. The controller includes: an influence arithmetic part that computes illumination influence as an index value of a physiological condition of the object person, based on the vital value measured by the vital sensor; a calculation part that calculates a priority illumination environment from inference data including the vital valued measured by the vital sensor and the illumination influence, by using an illumination model corresponding to the object person for inferring the priority illumination environment so that the illumination influence is changed to improve intellectual productivity; and an illumination control part that controls the illumination device so that the surrounding of the object person is in the priority illumination environment.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present disclosure relates to a lighting system.

Background Art

[0002] Patent Document 1 discloses an environmental control system for controlling a lighting environment. According to the environmental control system, when a vital sensor detects a decrease in the work efficiency of a worker, the surrounding lighting environment can be changed to improve the work efficiency of the worker.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the environmental control system described in Patent Document 1, the characteristics of each worker are not considered. For example, in the case of a worker who performs work for a certain period of time, it is difficult to always maintain a high concentration during the work.

[0005] The present disclosure has been made to solve the above problems. An object of the present disclosure is to provide a lighting system capable of realizing an appropriate lighting environment according to a target person.

Means for Solving the Problems

[0006] The lighting system according to the present disclosure includes a lighting device capable of changing a lighting environment including the illuminance and color temperature around a target person, a vital sensor that detects a vital value which is an index value of the heartbeat or pulse of the target person, and a control device that controls the lighting device. The control device includes an influence calculation unit that calculates a lighting influence which is an index value of the physiological state of the target person based on the vital value detected by the vital sensor, a calculation unit that calculates the priority lighting environment from the inference data including the vital value detected by the vital sensor and the lighting influence, using a lighting model corresponding to the target person for inferring a priority lighting environment in which the lighting influence changes so as to improve the intellectual productivity, and a lighting control unit that controls the lighting device so that the surroundings of the target person become the priority lighting environment.

Effect of the Invention

[0007] According to the present disclosure, the priority lighting environment is calculated using a lighting model corresponding to the target person. Therefore, an appropriate lighting environment can be realized according to the target person.

Brief Description of the Drawings

[0008]

Figure 1

Figure 2

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Figure 10

Embodiments for Carrying Out the Invention

[0009] Embodiments for carrying out the present disclosure will be described with reference to the accompanying drawings. In each figure, the same or corresponding parts are denoted by the same reference numerals. Redundant descriptions of such parts will be simplified or omitted as appropriate.

[0010] Embodiment 1. FIG. 1 is a diagram showing an office to which the lighting system in Embodiment 1 is applied. FIG. 2 is a functional block diagram of the lighting system in Embodiment 1. FIG. 3 is a diagram showing an overview of a neural network model.

[0011] As shown in FIG. 1, for example, the lighting system 1 is applied to an office where a plurality of users work. The lighting system 1 controls the lighting environment inside the office. The lighting environment in a certain area is defined by the illuminance and color temperature in that area. The lighting system 1 includes a lighting device 2, an illuminance sensor 3, a color temperature sensor 4, a vital sensor 5, a control device 6, and related equipment 7. Further, the lighting system 1 may be provided with a learning device 8.

[0012] The lighting device 2 includes a light source. A plurality of lighting devices 2 are provided inside the office. Various types of lighting devices 2 may be included in the lighting system 1. As an example, some of the plurality of lighting devices 2 are provided on the ceiling. Some of the plurality of lighting devices 2 may be ceiling lighting or disk lighting that illuminates a specific area such as the upper surface of a desk as spot lighting. That is, the lighting device 2 can be classified into individual lighting that illuminates the periphery of the target person among a plurality of users and overall lighting that illuminates a wider range than the individual lighting including the periphery of the target person. The lighting device 2 may be able to change the illuminance and color temperature of the light source. Hereinafter, an example in which the illuminance and color temperature of a certain area are changed by a single lighting device 2 will be described.

[0013] Note that by a plurality of lighting devices 2 having different color temperatures and illuminances emitting light together, the color temperature and illuminance in a certain area can be changed. Even in this case, it can be expressed that the lighting device 2 changes the illuminance and color temperature of a certain area.

[0014] A plurality of illuminance sensors 3 are provided inside the office. For example, the plurality of illuminance sensors 3 are provided respectively for each place where a person works. The illuminance sensor 3 detects the illuminance and transmits a signal indicating the detected illuminance at a prescribed period.

[0015] A plurality of color temperature sensors 4 are provided inside the office. For example, the plurality of color temperature sensors 4 are provided respectively in the same housing as the plurality of illuminance sensors 3. The color temperature sensor 4 detects color temperatures such as a cool color system and a warm color system and transmits a signal indicating the detected color temperature at a prescribed period.

[0016] For example, a plurality of vital sensors 5 are provided inside the office. As an example, each of the plurality of vital sensors 5 is provided on the ceiling. The vital sensor 5 non - contact detects at least one of a person's heartbeat and pulse. Specifically, the vital sensor 5 irradiates a measurement wave, which is a microwave or millimeter wave, toward the human body and measures the reflected wave. When the measurement wave is reflected by a person's chest or the like, the Doppler effect occurs due to a slight displacement of the chest caused by the heartbeat. The frequency of the reflected wave is different from the frequency of the measurement wave due to the influence of the Doppler effect. The vital sensor 5 detects a person's vital value including at least one of the person's heartbeat and pulse by detecting the fluctuation of the frequency of the measurement wave. The vital sensor 5 identifies a person and generates biometric information associating the person with the vital value.

[0017] Note that some or all of the plurality of vital sensors 5 may be wearable sensors worn by a person working in the office.

[0018] The control device 6 acquires signals indicating the detection results of the illuminance sensor 3, the color temperature sensor 4, and the vital sensor 5. The control device 6 calculates a preferred lighting environment, which is a priority lighting environment for the subject, from the detection result of the vital sensor 5 using a lighting model. The control device 6 controls the operation of the lighting device 2 so that the periphery of the subject becomes the priority lighting environment.

[0019] The related device 7 is a device other than the lighting device 2 that affects the lighting environment around the subject. For example, the related device 7 may include window blinds and displays such as computers. The window blinds can be opened and closed by remote operation.

[0020] For example, the learning device 8 is provided in a building different from the building in which the lighting device 2 is provided. The learning device 8 can acquire various types of information about the subject. The learning device 8 generates a learned lighting model by performing machine learning based on the information acquired in the past.

[0021] For example, in an office space, there is an area called a concentration zone where workers can work when they want to concentrate. As an example, the subject conducts business in the concentration zone. The illuminance sensor 3 and the color temperature sensor 4 respectively detect the illuminance and color temperature around the subject. The vital sensor 5 identifies the subject, detects vital values associated with the subject, and generates vital information. The vital information includes the position where the subject is present.

[0022] Based on the generated vital information of the subject, the control device 6 calculates the lighting impact on the subject. The lighting impact means various index values indicating the physiological state of the subject. For example, the lighting impact is the comfort felt by the subject, the concentration level which is an index value of the subject's concentration, the stress level which is an index value of the stress felt by the subject, the fatigue level which is an index value indicating that the subject is tired, etc. The control device 6 uses a lighting model to calculate a preferred lighting environment from the inference data including the vital values, such that the intellectual productivity of the subject is improved. Specifically, calculation conditions are set for each location in the control device 6. For example, in the concentration zone in advance, the calculation conditions are set so that the lighting environment is such that the concentration level is maintained.

[0023] On the other hand, even if a person is exposed to a lighting environment where the concentration level is the highest, the person may not be able to maintain that concentration level, and over the course of a day, the average concentration level may even be lower. For example, for such a person, the average concentration level over a day may be higher when the concentration level is maintained within an appropriate range rather than at the condition where the concentration level is the highest. Also, as characteristics of each individual, there may be tendencies such as a significant decrease in concentration in the afternoon, being sleepier than others after eating, etc. The learning device 8 performs machine learning from the relationship between the time series of past people's vital values, the time series of lighting impacts, etc. and the lighting environment, and generates a lighting model for each subject to calculate a lighting environment in which the average concentration level of a person over a day is high.

[0024] The control device 6 calculates an illumination environment in which the average concentration of the subject during the day is high, that is, a priority illumination environment that improves the intellectual productivity for the subject, from the collected current inference data and the illumination model. The control device 6 controls the illumination device 2 so that the area around the subject becomes the priority illumination environment. At this time, the control device 6 controls the state of the related device 7 together with the illumination device 2 so that the surroundings of the subject approach the priority illumination environment more.

[0025] As shown in FIG. 2, the control device 6 includes, as functions, a storage unit 10, a reception unit 11, an influence calculation unit 12, a condition setting unit 13, a first acquisition unit 14, an illumination model storage unit 15, a calculation unit 16, and an illumination control unit 17.

[0026] The storage unit 10 stores various settings in the control device 6. For example, the storage unit 10 stores information for distinguishing individuals.

[0027] The reception unit 11 receives the illumination information and the color temperature information, which are the detection results, from the illuminance sensor 3 and the color temperature sensor 4, respectively. The reception unit 11 generates illumination environment information in that area composed of the illuminance and the color temperature. The reception unit 11 receives vital information from the vital sensor 5. The reception unit 11 may accumulate the received various information and generate the time transition of the various information in a day. The reception unit 11 may generate the time transition information of the illumination environment from the time transition of the illuminance and the time transition of the color temperature.

[0028] The influence calculation unit 12 calculates the illumination influence on the subject based on the vital value that is the detection result of the vital sensor 5. The influence calculation unit 12 may calculate the time transition of the illumination influence on the subject.

[0029] The condition setting unit 13 sets the calculation conditions when calculating the priority lighting environment. The calculation conditions are conditions regarding the prioritized index value among the index values included in the lighting impact. Which index value among the index values included in the lighting impact should be used to calculate the prioritized lighting environment varies depending on the situation. In the example of FIG. 1, concentration is selected as the calculation condition for improving intellectual productivity. Similarly, for example, comfort may be selected as the calculation condition for improving intellectual productivity. Also, a combination of a plurality of index values may be selected as the calculation condition. Specifically, as the calculation condition, it may be set such that the concentration exceeds a concentration threshold value and the stress level does not exceed a stress threshold value.

[0030] Several sets of calculation conditions, locations, and time zones may be set in advance in the condition setting unit 13. In this case, when calculating the priority lighting environment at a certain location in a certain time zone, the calculation conditions associated with the time zone and the location may be set.

[0031] The first acquisition unit 14 acquires inference data corresponding to the target person from the information received by the reception unit 11 and the like. The inference data includes at least information on the current vital value of the target person or the time transition of the vital value up to the present. The inference data may further include the current lighting impact on the target person. The inference data may further include at least one of the current lighting environment, the calculation conditions set by the condition setting unit 13, the location where the target person is present, the current time or time zone.

[0032] The lighting model storage unit 15 stores a lighting model. The lighting model is a model for calculating a priority lighting environment based on at least vital values or the time transition of vital values. Note that the lighting model may be a model for calculating a priority lighting environment based on at least one of the current lighting environment, lighting effects, calculation conditions, the location where the subject is present, the current time or time zone, in addition to the vital values or the time transition of vital values. Hereinafter, an example will be described in which the lighting model is a model for calculating a priority lighting environment based on the time transition of vital values, the current lighting effects, calculation conditions, location, and time for the subject.

[0033] The calculation unit 16 calculates a priority lighting environment from the inference data using the latest lighting model stored in the lighting model storage unit 15. The priority lighting environment may include lighting conditions and a control time. The lighting conditions are a combination of the illuminance and color temperature at which the lighting device 2 emits light. The control time is the time at which the lighting conditions are realized. That is, by causing the lighting device 2 to emit light at the control time under certain lighting conditions, the illuminance and color temperature included in the priority lighting environment around the subject are realized.

[0034] The lighting control unit 17 controls the operation of the lighting device 2 as a whole. At this time, the lighting control unit 17 controls the lighting environment of the space including the surroundings of the subject using the lighting environment received by the reception unit 11, the priority lighting environment calculated by the calculation unit 16, and the like. Several patterns may be adopted for the lighting control performed by the lighting control unit 17.

[0035] As a first example of lighting control, the lighting control unit 17 controls the lighting conditions of the lighting device 2 so that the lighting environment in the area around the subject becomes the priority lighting environment calculated by the calculation unit 16.

[0036] As a second example of lighting control, the lighting control unit 17 calculates a corrected lighting environment obtained by correcting the priority lighting environment to lighting conditions according to the circadian rhythm. The lighting control unit 17 controls the lighting conditions of the lighting device 2 so that the surroundings of the subject become the corrected lighting environment. Specifically, in humans, there is a circadian rhythm which is the internal rhythm from waking up in the morning until eating lunch and going to bed. For example, during the day, the metabolic rate of the subject changes such that it is high when leaving for work and low before lunch. For example, the subject feels drowsy along with eating. For example, the core body temperature of the subject changes depending on the time of day. The lighting control unit 17 performs, at a prescribed time, a correction as a preset correction that suppresses or enhances the change in the physiological state of a person due to the circadian rhythm.

[0037] As pattern 1 of the second example, in the morning time zone when a person's autonomic nerve has not yet awakened, the lighting control unit 17 calculates a corrected lighting environment corrected to an illuminance higher than the illuminance included in the priority lighting environment and a colder color temperature so as to promote the awakening of the subject and reset the body clock. As pattern 2 of the second example, in the daytime time zone after a person has eaten, the lighting control unit 17 calculates a corrected lighting environment corrected to an illuminance lower than the illuminance included in the priority lighting environment and a warmer color temperature. In this case, the parasympathetic nerve becomes dominant and the person temporarily becomes sleepier. Then, afterwards, the sympathetic nerve becomes dominant so that the person can concentrate more on the afternoon work.

[0038] As a third example of lighting control, the lighting control unit 17 has previously acquired the behavior pattern of the target person. The behavior patterns include going to the office, returning to the office from outside, having meals, and the like. For example, the lighting control unit 17 may acquire the behavior pattern from the scheduler of the target person, or may acquire the behavior pattern from the schedule previously input by the target person to the control device 6. In the third example, the calculation unit 16 calculates a priority lighting environment corresponding to the subsequent behavior pattern of the target person. The lighting control unit 17 controls the lighting device 2 so as to provide the priority lighting environment at a time that is a prescribed advance time before the control time of the priority lighting environment thus calculated. In this case, the lighting device 2 is controlled so that the lighting environment in the area where the target person is expected to move becomes the priority lighting environment.

[0039] As a fourth example of lighting control, the lighting control unit 17 controls not only the lighting device 2 but also the state of the related device 7 to realize a priority lighting environment. Specifically, the lighting control unit 17 identifies the related device 7 that affects the illuminance and color temperature included in the priority lighting environment. For the identification, information indicating the lighting influence on each position for each related device 7 stored in the storage unit 10 is used. The lighting control unit 17 calculates the control state of the related device 7 such that the surroundings of the target person become the priority lighting environment. The lighting control unit 17 transmits a command to the related device 7 so as to achieve the calculated control state. The related device 7 operates or changes the set value based on the command.

[0040] For example, when the related device 7 includes a window blind, the lighting control unit 17 calculates a control state in which the blind is closed and transmits a command to close the blind to the blind. When the blind closes based on the command, the amount of light entering through the window decreases, and the amount of light to which the subject is exposed decreases. In another example, for example, when the related device 7 includes a display device, the lighting control unit 17 calculates a control state in which the brightness of the display device is lower than the current level and transmits a command to lower the set value of the brightness to the display device. When the brightness of the display device decreases, the amount of light to which the subject is exposed decreases. The lighting control unit 17 controls the lighting device 2 so as to achieve a priority lighting environment after reflecting the influence of the related device 7 in the control state. In this case, the lighting control unit 17 may create lighting conditions including the influence of the related device 7 in the control state. Alternatively, the lighting control unit 17 may control the lighting device 2 so that the detection results of the illuminance sensor 3 and the color temperature sensor 4 become a priority lighting environment after transmitting a command for the related device 7 to enter a control state.

[0041] The learning device 8 includes, as functions, a data acquisition unit 8a, a storage unit 8b, and a generation unit 8c. The learning device 8 generates a lighting model corresponding to each of a plurality of users. Hereinafter, the learning device 8 will be described by taking the lighting model corresponding to the subject among the plurality of users as an example.

[0042] The data acquisition unit 8a acquires learning data corresponding to the subject from each device of the lighting system 1 such as the control device 6. The learning data includes the time transition of the vital values of the subject on a certain day, the time transition of the lighting environment around the subject, and the time transition of the lighting influence on the subject on that day. The learning data may include at least one of the location where the subject was on that day and the subjective evaluation in which the subject scored the progress of the work on that day. The subjective evaluation is obtained based on a questionnaire collected from the subject by an arbitrary method.

[0043] The storage unit 8b stores the learning data acquired by the data acquisition unit 8a. That is, a plurality of pieces of learning data corresponding to the subject collected on various days are stored in the storage unit 8b.

[0044] The generation unit 8c generates a learned lighting model by using a learning algorithm related to machine learning with the learning data stored in the storage unit 8b. After generating the lighting model, the generation unit 8c may update the lighting model stored in the lighting model storage unit 15 to the latest lighting model. Note that after generating the lighting model, the generation unit 8c may store the latest lighting model in a model storage unit (not shown). In this case, the control device 6 may acquire the latest lighting model at an arbitrary timing.

[0045] As the learning algorithm adopted by the generation unit 8c, known algorithms such as supervised learning, unsupervised learning, and reinforcement learning can be applied. As an example, the generation unit 8c learns a priority lighting environment in which any lighting influence satisfies the calculation conditions by so-called supervised learning according to a neural network model. Here, supervised learning refers to a method in which learning data, which is a pair of input and result (label), is given to the generation unit 8c, a certain feature in these learning data is learned, and the result is inferred from the input.

[0046] FIG. 3 shows a three-layer neural network as an overview of the neural network model. The neural network is composed of an input layer X1-X3 consisting of a plurality of neurons, an intermediate layer Y1-Y2 consisting of a plurality of neurons, and an output layer Z1-Z3 consisting of a plurality of neurons. The intermediate layer is also referred to as a hidden layer and may be one layer or two or more layers. In the case of a three-layer neural network with one intermediate layer, when a plurality of inputs are input to the input layer X1-X3, the values are multiplied by weights W1 (w11-w16) and then input to the intermediate layer Y1-Y2. The output from the intermediate layer Y1-Y2, which is the result of the input, is multiplied by weights W2 (w21-w26) and output from the output layer Z1-Z3. The final output result changes depending on the values of the weights W1 and W2.

[0047] In this example, among the learning data stored in the storage unit 8b, those for which the daily average value of any index value of the lighting influence falls within the threshold range that can be set under the calculation conditions are selected and used for learning. The neural network in the generation unit 8c is created based at least on the combination of "temporal change of vital signs", "temporal change of lighting environment", "temporal change of lighting influence", and "location" that is acquired by the data acquisition unit 8a and stored in the storage unit 8b. According to the learning data, through so-called supervised learning, it learns the "lighting environment" such that the lighting influence satisfies the calculation conditions. The "lighting environment" is the condition that is output as the "preferred lighting environment". That is, the neural network adjusts the weights W1 and W2 so that the result output from the output layer by inputting the "temporal change of vital signs" and the "temporal change of lighting influence" to the input layer approaches the "lighting environment" in which the lighting influence, which is the correct data (result), satisfies the calculation conditions, and thus performs learning. Note that the learning data may further include "location" and "subjective evaluation". When "subjective evaluation" is included, the neural network may instead learn the "lighting environment" with a good "subjective evaluation". The generation unit 8c generates and outputs a learned lighting model by executing the above-described learning.

[0048] Also, in this example, an example in which supervised learning is applied to the learning algorithm in the generation unit 8c has been described, but the learning algorithm is not limited to this. For example, as the learning algorithm, methods such as reinforcement learning, unsupervised learning, semi-supervised learning, etc. may be applied. Also, as the learning algorithm, deep learning that learns the extraction of the feature quantity itself may be applied. Also, in the generation unit 8c, machine learning may be executed according to other known methods, for example, genetic programming, functional logic programming, support vector machine, etc.

[0049] Next, the learning process of the learning device 8 will be described with reference to FIG. 4. FIG. 4 is a flowchart showing the learning process performed by the learning device of the lighting system in the first embodiment.

[0050] The learning process of the flowchart in FIG. 4 starts at an arbitrary timing. In step S001, the data acquisition unit 8a acquires learning data. Then, in step S002, the generation unit 8c executes machine learning to generate a learned lighting model. Then, in step S003, the generation unit 8c stores the lighting model generated in step S002 in the lighting model storage unit 15. Then, the operation of the flowchart ends.

[0051] Next, an example of lighting control performed by the control device 6 will be described with reference to FIG. 5. FIG. 5 is a flowchart of the first example of lighting control performed in the lighting system according to the first embodiment.

[0052] The operation of the flowchart in FIG. 5 starts at an arbitrary timing such as a specified period, when a subject newly enters the room, or when a specified time has arrived. The reception unit 11 receives vital information from the vital sensor 5 at a specified period while the operation of the flowchart is being performed.

[0053] In step S101, the influence calculation unit 12 calculates the latest lighting influence based on the received vital information.

[0054] Then, in step S102, the first acquisition unit 14 acquires inference data. Then, in step S103, the calculation unit 16 calculates a priority lighting environment from the inference data using the lighting model.

[0055] In this flowchart, as an example, the case where the lighting effect used in the calculation condition is the concentration degree will be described. The lighting model calculates a priority lighting environment in which the concentration degree is greater than a specified concentration threshold value. Specifically, the lighting model is a model for inferring a priority lighting environment in which the average value of the concentration degree in the time period when the subject is expected to work is greater than the concentration threshold value. In this case, the inference data includes a calculation condition that the average value of the concentration degree in the time period when the subject is expected to work is greater than the concentration threshold value. In the learning device 8, learning data in which the average value of the concentration degree in the time period when the subject is expected to work is greater than the concentration threshold value is learned as correct answer data. The lighting model also reflects the information on the time period when the subject usually works. In step S103, the calculation unit 16 calculates, as the priority lighting environment, a lighting environment in which the average value of the concentration degree in the time period when the subject is expected to work is greater than the concentration threshold value.

[0056] After the operation of step S103, the operation of step S104 is performed. In step S104, the lighting control unit 17 determines whether the difference between the current lighting environment around the subject and the priority lighting environment calculated in step S103 is equal to or less than a specified threshold value.

[0057] In step S104, if the difference between the current lighting environment and the priority lighting environment is greater than the threshold value, the operation of step S105 is performed. In step S105, the lighting control unit 17 changes the brightness and color temperature, which are the lighting conditions of the lighting device 2, to the lighting conditions indicated by the priority lighting environment.

[0058] Thereafter, the operation of step S104 is performed. That is, the lighting control unit 17 determines whether the difference between the current lighting environment around the subject and the priority lighting environment calculated in step S103 is equal to or less than a specified threshold value.

[0059] In step S104, when the difference between the current lighting environment and the priority lighting environment is equal to or less than the threshold value, the operation in step S106 is performed. In step S106, the lighting control unit 17 keeps the lighting device 2 lit according to the current lighting conditions.

[0060] Thereafter, in step S107, the lighting control unit 17 waits for a prescribed waiting time. After the waiting time has elapsed, the operations after step S101 are repeated.

[0061] According to the first embodiment described above, the lighting system 1 includes a lighting device 2, a vital sensor 5, and a control device 6. The control device 6 has, as its functions, an influence calculation unit 12, a calculation unit 16, and a lighting control unit 17. Generally, there are individual differences in lighting environments that improve intellectual productivity. For example, in order to improve concentration, it is considered that a high illuminance and cool color lighting environment is effective. However, for users who have a short concentration time, are sensitive to glare, etc., in a high illuminance and cool color lighting environment, the concentration over a long working day is not necessarily high, and productivity may be improved when working under a relatively low illuminance and warm color lighting environment. On the other hand, for short-term work, even for these users, a high illuminance and cool color lighting environment may also improve productivity. Thus, it is necessary to calculate an appropriate lighting environment according to the characteristics including the working time of the worker. In this embodiment, the control device 6 calculates a priority lighting environment using a lighting model corresponding to the subject. Therefore, the lighting system 1 can realize an appropriate lighting environment according to the subject.

[0062] Further, the lighting system 1 further includes a learning device 8. The learning device 8 generates a learned lighting model from learning data including the time transition of the vital values of the subject, the time transition of the lighting influence, and the time transition of the lighting environment. That is, the lighting model is a model peculiar to the subject and is a model that reflects changes in past vital values. Therefore, it becomes possible to calculate a priority lighting environment that reflects the past vital values of the subject.

[0063] In addition, the lighting influence includes concentration. The calculation unit 16 calculates a priority lighting environment in which the concentration is greater than the concentration threshold value using a lighting model. More specifically, the calculation unit 16 calculates a priority lighting environment in which the average value of the concentration during the time period when the subject is expected to work is greater than the concentration threshold value. Therefore, under the priority lighting environment, the intellectual productivity of the subject throughout the day can be improved.

[0064] In addition, the lighting control unit 17 calculates a corrected lighting environment that has been corrected based on the circadian rhythm. More specifically, when the priority lighting environment is calculated in the morning, the lighting control unit 17 calculates a corrected lighting environment in which the illuminance is increased compared to that shown in the priority lighting environment. The lighting control unit 17 performs control so that the lighting environment around the subject becomes the corrected lighting environment instead of the priority lighting environment. Therefore, a lighting environment suitable for the physiological state of the subject can be provided, and the intellectual productivity of the subject can be improved.

[0065] In addition, the lighting control unit 17 controls the lighting device 2 so that it becomes the priority lighting environment at a time that is a specified advance time before the control time of the calculated priority lighting environment. Therefore, the lighting environment can be prepared in advance.

[0066] In addition, the lighting control unit 17 calculates the control state of the related device 7 such that the priority lighting environment is realized by the related device 7 and the lighting device 2. The lighting control unit 17 transmits a command to the related device 7 so as to be in the calculated control state. Specifically, the lighting control unit 17 transmits a command to the blind, which is the related device 7, so that the blind is in a closed state. The lighting control unit 17 transmits a command to the display device, which is the related device 7, to lower the brightness of the display device. Therefore, the lighting system 1 can realize an optimal lighting environment while cooperating with each device.

[0067] Note that the control device 6 may create an illuminance distribution and a color temperature distribution inside the target space such as an office based on the detection results of the illuminance sensor 3 and the color temperature sensor 4. The control device 6 may use the illuminance distribution and the color temperature distribution as the detection results of the illuminance sensor 3 and the color temperature sensor 4.

[0068] Embodiment 2. FIG. 6 is a functional block diagram of the lighting system according to Embodiment 2. Note that the same or corresponding parts as those in Embodiment 1 are denoted by the same reference numerals, and the description thereof is omitted.

[0069] In Embodiment 2, the lighting device 2 is classified into a general lighting device 2a and an individual lighting device 2b. The general lighting device 2a and the individual lighting device 2b have the same arrangement and functions as those in Embodiment 1.

[0070] The lighting control unit 17 controls the illuminance of the general lighting device 2a to be different from that of the individual lighting device 2b in order to realize the priority lighting environment calculated by the calculation unit 16.

[0071] Specifically, the lighting control unit 17 makes the illuminance of the general lighting device 2a smaller than the illuminance of the lighting conditions shown in the priority lighting environment. The lighting control unit 17 makes the color temperature of the general lighting device 2a warmer than the color temperature of the lighting conditions shown in the priority lighting environment. The lighting control unit 17 changes the illuminance of the individual lighting device 2b so that the illuminance around the person detected by the illuminance sensor 3 approaches the illuminance included in the priority lighting environment. The lighting control unit 17 changes the illuminance of the individual lighting device 2b so that the color temperature around the person detected by the illuminance sensor 3 approaches the color temperature included in the priority lighting environment. In this way, the lighting control unit 17 realizes the priority lighting environment around the person by the general lighting device 2a and the individual lighting device 2b.

[0072] According to the second embodiment described above, the lighting control unit 17 controls the general lighting device 2a and the individual lighting device 2b respectively. The lighting control unit 17 makes the illuminance of the general lighting device 2a darker than the illuminance included in the priority lighting environment. The priority lighting environment is realized by the general lighting device 2a and the individual lighting device 2b. In this case, the illuminance of the general lighting device 2a is darker than the illuminance of the individual lighting device 2b. Therefore, for example, in an office space, when providing a priority lighting environment for a certain user, it is possible to suppress a large change in the lighting environment of another user adjacent to the user. As a result, it is possible to provide a priority lighting environment suitable for each of a plurality of users individually.

[0073] Embodiment 3. FIG. 7 is a functional block diagram of the lighting system in Embodiment 3. FIG. 8 is a flowchart of the control performed by the lighting system in Embodiment 3. Note that the same or corresponding parts as those in the first or second embodiment are denoted by the same reference numerals, and the description of such parts is omitted.

[0074] In Embodiment 3, the office space, which is the target space for lighting control, is divided into a plurality of areas. The plurality of areas may be spaces partitioned by virtual vertical planes at arbitrary positions, spaces partitioned by walls or the like, or rooms separated by corridors or the like. In FIG. 7, Area A and Area B among the plurality of areas are schematically shown.

[0075] The lighting system 1 further includes a notification device 40. The notification device 40 can communicate with the control device 6. The notification device 40 can display information on a screen. For example, the notification device 40 may be a mobile terminal possessed by each of a plurality of users, or a display device that can be confirmed by a plurality of users.

[0076] In the following description, the control device 6 has already calculated a priority lighting environment for each of a plurality of users working in the target space, in the same manner as in the first embodiment.

[0077] The control device 6 further includes, as functions, an area storage unit 41, a group determination unit 42, an allocation unit 43, and a notification unit 44.

[0078] The area storage unit 41 stores area information indicating each of a plurality of areas in the target space. The area information includes information in which, for each of the plurality of areas, an identifier of the area, a position of the area, a size of the area, etc. are associated.

[0079] The group determination unit 42 divides a plurality of users into a plurality of groups so that they gather with similar preferred lighting environments. That is, a certain group includes a plurality of users whose preferred lighting environments fall within a specified similarity range. The groups are divided so that one or more users are included in each group. The number of the plurality of groups is less than or equal to the number of the plurality of areas.

[0080] Note that, after determining the users included in a group, the group determination unit 42 may calculate a representative lighting environment obtained by averaging a plurality of preferred lighting environments corresponding to the plurality of users included in the group. The representative lighting environment corresponding to a certain group is set so that the similarity between the plurality of preferred lighting conditions corresponding to the plurality of users included in the group does not exceed a specified threshold value.

[0081] The allocation unit 43 allocates each of the plurality of groups to any one of the plurality of areas. At this time, the allocation unit 43 allocates the plurality of groups so that a group with a larger number of people corresponds to a wider area.

[0082] The notification unit 44 controls the display content on the screen of the notification device 40 to notify each of a plurality of users of the position of the assigned area and the representative lighting environment. Specifically, for example, the notification unit 44 causes the notification device 40 to display as a notification the names of the users assigned to a plurality of groups, the names of the groups assigned to a plurality of areas, and the representative lighting environments realized in the plurality of areas. By checking the notification device 40, the user can know the area where he / she works and its lighting conditions. Note that the notification unit 44 may directly notify each of a plurality of users of the position of the assigned area and its lighting conditions via the notification device 40.

[0083] The operation of the flowchart in FIG. 8 may be started at any timing. For example, the operation of the flowchart may be started at a timing such as every specified time, when a new user enters the room, or when the vital values of the users in each area change significantly. Hereinafter, as an example, the operation when a plurality of users start work at a specified time such as the start of afternoon work will be described.

[0084] In step S201, the influence calculation unit 12 calculates the lighting influence from the current vital information for each of a plurality of users. By the operation in step S201, a plurality of lighting influences corresponding to a plurality of users are calculated respectively.

[0085] Thereafter, in step S202, the calculation unit 16 calculates the corresponding preferred lighting environment for each of a plurality of users. By the operation in step S202, a plurality of preferred lighting environments corresponding to a plurality of users are calculated respectively.

[0086] Thereafter, in step S203, the group determination unit 42 divides a plurality of users into a plurality of groups based on the plurality of preferred lighting environments.

[0087] Thereafter, in step S204, the allocation unit 43 allocates each of the plurality of groups to any one of a plurality of areas.

[0088] Thereafter, in step S205, the notification unit 44 notifies each of the plurality of users of which area among the plurality of areas has been assigned. As a result, each user moves to the area assigned to him / herself.

[0089] Thereafter, the operation of the flowchart ends. In each of the plurality of areas, lighting control similar to the flowchart of FIG. 5 in Embodiment 1 is performed so as to achieve the corresponding representative lighting environment.

[0090] According to Embodiment 3 described above, the control device 6 further includes a group determination unit 42, an allocation unit 43, and a notification unit 44. The plurality of users are divided into groups such that their priority lighting environments are similar. Each group is assigned to one of the plurality of areas. For example, in a room where the lighting environment can be changed only by area, it may be impossible to satisfactorily provide the priority lighting environment for users exceeding the number of areas. In this embodiment, since groups are formed by users with similar priority lighting environments, it is possible to provide each user with a lighting environment that is as optimal as possible.

[0091] In particular, the larger the number of groups, the larger the area assigned, so it is possible to reduce the inconvenience to users such as the narrowing of the area.

[0092] Note that the allocation unit 43 may allocate groups to areas such that the representative lighting environments of adjacent areas are similar. For this reason, even if the light of two areas is mixed, the representative lighting environments of each other can be accurately realized.

[0093] Embodiment 4. FIG. 9 is a functional block diagram of the lighting system in Embodiment 4. Note that the same reference numerals are given to the same or corresponding parts as in any of Embodiments 1 to 3, and the description of those parts is omitted.

[0094] As shown in FIG. 9, in the fourth embodiment, the lighting system 1 further includes an air conditioner 50 and an environmental learning device 51. The air conditioner 50 is provided in the same space as the lighting device 2. The air conditioner 50 can change the air conditioning environment around the subject. The air conditioning environment is a thermal state including at least one of temperature, humidity, air volume, and wind direction in a certain area. For example, the air conditioner 50 may be one or a combination of devices such as an air conditioner, a ventilation device, a humidifier, a dehumidifier, etc.

[0095] For example, similar to the learning device 8, the environmental learning device 51 is provided in a building different from the building where the lighting device 2 is provided. The environmental learning device 51 can acquire various types of information about the subject. The environmental learning device 51 generates a learned environmental model by performing machine learning based on the information acquired in the past.

[0096] In the fourth embodiment, the control device 6 includes a second acquisition unit 52, an environmental model storage unit 53, a determination unit 54, and an air conditioning control unit 55.

[0097] The second acquisition unit 52 acquires environmental inference data corresponding to the subject from the information received by the reception unit 11 and the like. The environmental inference data includes current vital values of the subject or information on the temporal transition of the vital values up to the present. The environmental inference data may further include the current lighting influence on the subject. The environmental inference data may further include at least one of the current air conditioning environment, the current lighting environment, the calculation conditions set by the condition setting unit 13, the location where the subject is present, the current time or time zone, around the subject.

[0098] The environmental model storage unit 53 stores an environmental model. The environmental model is a model for inferring which of the lighting environment and the air conditioning environment is more effective in improving the intellectual productivity of the subject based on at least the vital value or the time transition of the vital value. Note that the environmental model may be a model for inferring which of the lighting environment and the air conditioning environment is more effective based on at least one of the current lighting environment, the current air conditioning environment, the lighting influence, the calculation conditions, the location where the subject exists, the current time or time zone, in addition to the vital value or the time transition of the vital value. Hereinafter, an example will be described in which the environmental model is a model for calculating the priority lighting environment based on the time transition of the vital value, the current lighting influence, the calculation conditions, the location, and the time for the subject.

[0099] The determination unit 54 uses the latest environmental model stored in the environmental model storage unit 53 to infer, that is, determine which of the lighting environment by the lighting device 2 and the air conditioning environment by the air conditioning device 50 should be changed to improve the intellectual productivity from the environmental inference data. When the determination unit 54 determines that it is more effective to change the air conditioning environment, it outputs a priority air conditioning environment indicating the content of the air conditioning environment to be changed. The priority air conditioning environment is an air conditioning environment in which the intellectual productivity is improved, and has the same calculation principle as the priority lighting environment.

[0100] When the determination unit 54 determines that it is more effective to change the air conditioning environment, the air conditioning control unit 55 transmits a command to the air conditioning device 50 to operate so that the surroundings of the subject become the priority air conditioning environment. In this case, the air conditioning device 50 starts operating so that the surroundings of the subject become the priority air conditioning environment.

[0101] When the determination unit 54 determines that it is more effective to change the lighting environment, the lighting control unit 17 controls the lighting environment in the same manner as in the first or second embodiment.

[0102] The environmental learning device 51 includes, as functions, an environmental data acquisition unit 51a, a storage unit 51b, and a generation unit 51c. The environmental learning device 51 generates environmental models corresponding to each of a plurality of users. Hereinafter, the environmental learning device 51 will be described by taking the environmental model corresponding to a target user among the plurality of users as an example.

[0103] The environmental data acquisition unit 51a acquires environmental learning data corresponding to the target user from each device of the lighting system 1 such as the control device 6. The environmental learning data includes the time transition of the vital values of the target user on a certain day, the time transition of the lighting environment around the target user, the time transition of the air conditioning environment around the target user on the day, and the time transition of the lighting influence on the target user on the day. The environmental learning data may include at least one of the location where the target user was on the day and the subjective evaluation in which the target user scored the progress of the work on the day. The subjective evaluation is obtained based on a questionnaire collected from the target user by an arbitrary method.

[0104] The environmental data acquisition unit 51a attaches a label to the environmental learning data indicating which of the lighting environment and the air conditioning environment has a greater impact on the change in vital values. For example, when the air conditioning environment of the target user on this day or another day is the same and the lighting environment is different, and the vital values are different, it is possible to attach a label indicating that in the air conditioning environment, the lighting environment has a greater impact on the change in vital values. The same processing can be performed when the lighting environment is the same.

[0105] The storage unit 51b stores the environmental learning data acquired by the environmental data acquisition unit 51a. That is, a plurality of environmental learning data corresponding to the target user collected on various days are stored in the storage unit 51b.

[0106] The generation unit 51c generates a learned environment model by using a learning algorithm related to machine learning with the environmental learning data stored in the storage unit 51b. After generating the environment model, the generation unit 51c may update the environment model stored in the environment model storage unit 53 to the latest environment model. Note that after generating the environment model, the generation unit 51c may store the latest environment model in a model storage unit (not shown). In this case, the control device 6 may acquire the latest environment model at an arbitrary timing.

[0107] Similar to the case of the generation unit 8c, known algorithms such as supervised learning, unsupervised learning, and reinforcement learning can be applied as the learning algorithm adopted by the generation unit 51c. As an example, the generation unit 51c learns a priority lighting environment in which any lighting influence satisfies the calculation conditions by so-called supervised learning according to a neural network model. In this case, each piece of information included in the environmental learning data is selected as the input to the neural network. As the correct label as a result, a label indicating which of the lighting environment and the air conditioning environment has a greater influence on the change in the vital value is selected.

[0108] Note that in this example, an example in which supervised learning is applied to the learning algorithm in the generation unit 51c has been described, but the learning algorithm is not limited to this. For example, methods such as reinforcement learning, unsupervised learning, and semi-supervised learning may be applied to the learning algorithm. Also, deep learning that learns the extraction of the feature amount itself may be applied as the learning algorithm. Further, in the generation unit 51c, machine learning may be executed according to other known methods, for example, genetic programming, functional logic programming, support vector machine, etc.

[0109] According to the fourth embodiment described above, the lighting system 1 further includes an air conditioner 50. The control device 6 further has a determination unit 54. The control device 6 determines which of the lighting environment and the air conditioning environment is more effective to change. Generally, factors that affect a person's vital signs include not only the lighting environment but also the air conditioning environment, that is, temperature, humidity, air stagnation, etc. By controlling not only the lighting environment but also the air conditioning environment, the lighting system 1 can more efficiently improve the intellectual productivity of the user.

[0110] Note that the determination unit 54 may infer a preferred lighting environment and a preferred air conditioning environment from the environmental estimation data using an environmental model. In this case, the determination unit 54 may compare the current lighting environment and the preferred lighting environment and the current air conditioning environment and the preferred air conditioning environment around the subject, respectively, and determine the environment with a large difference. The determination unit 54 may output the environment determined to have a large difference between the preferred lighting environment and the preferred air conditioning environment as the environment that is more effective to change.

[0111] Next, an example of the hardware constituting the control device 6 will be described with reference to FIG. 10. FIG. 10 is a hardware configuration diagram of the control device of the lighting system in Embodiments 1 to 4.

[0112] Each function of the control device 6 can be realized by a processing circuit. For example, the processing circuit includes at least one processor 100a and at least one memory 100b. For example, the processing circuit includes at least one dedicated hardware 200.

[0113] When the processing circuit includes at least one processor 100a and at least one memory 100b, each function of the control device 6 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is described as a program. At least one of the software and firmware is stored in at least one memory 100b. The at least one processor 100a realizes each function of the control device 6 by reading and executing the program stored in the at least one memory 100b. The at least one processor 100a is also referred to as a central processing unit, a processing device, an arithmetic unit, a microprocessor, a microcomputer, or a DSP. For example, the at least one memory 100b is a non-volatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, or an EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD.

[0114] When the processing circuit includes at least one dedicated hardware 200, the processing circuit is realized by, for example, a single circuit, a composite circuit, a programmed processor, a parallel-programmed processor, an ASIC, an FPGA, or a combination thereof. For example, each function of the control device 6 is realized by the processing circuit respectively. For example, each function of the control device 6 is realized by the processing circuit collectively.

[0115] Regarding each function of the control device 6, a part may be realized by the dedicated hardware 200, and the other part may be realized by software or firmware. For example, the function of the influence calculation unit 12 may be realized by a processing circuit as the dedicated hardware 200, and the functions other than the function of the influence calculation unit 12 may be realized by the at least one processor 100a reading and executing the program stored in the at least one memory 100b.

[0116] In this way, the processing circuit realizes each function of the control device 6 by hardware 200, software, firmware, or a combination thereof.

[0117] Note that at least a part of each function of the control device 6 may be realized on a cloud server. In this case, the processing circuit is composed of a plurality of sub-circuits. The plurality of sub-processing circuits are respectively provided in a plurality of devices constituting the cloud server. The plurality of devices constituting the cloud server may be respectively provided in different buildings. In this case, the functions of the control device 6 realized on the cloud server are involved in the control of the lighting system 1 by communicating with each device of the lighting system 1 through a network.

[0118] Although not shown, each function of the learning device 8 and the environment learning device 51 is also realized by a processing circuit equivalent to the processing circuit that realizes each function of the control device 6.

[0119] Summarizing the above description, the possible configurations of the technology according to the present disclosure include the following configurations shown as appendices. (Appendix 1) A lighting device capable of changing a lighting environment including the illuminance and color temperature around a target person, A vital sensor that detects a vital value that is an index value of the heartbeat or pulse of the target person, A control device that controls the lighting device, Comprising The control device An influence calculation unit that calculates a lighting influence that is an index value of the physiological state of the target person based on the vital value detected by the vital sensor, Using a lighting model corresponding to the target person for inferring a priority lighting environment in which the lighting influence changes so as to improve the intellectual productivity from the inference data including the vital value detected by the vital sensor and the lighting influence, the priority lighting environment is calculated from the inference data by a calculation unit, A lighting control unit that controls the lighting device so that the surroundings of the target person become the priority lighting environment, A lighting system having (Appendix 2) A learning device, Further comprising The learning device an acquisition unit that acquires learning data including the temporal change of the vital signs of the subject detected by the vital sensor, the temporal change of the lighting influence on the subject, and the temporal change of the lighting environment around the subject; a generation unit that generates the learned lighting model for inferring the priority lighting environment from the inference data including the vital signs of the subject and the lighting influence on the subject using the learning data; The lighting system according to Appendix 1 having the above. (Appendix 3) The lighting influence includes the concentration degree which is an index value of the concentration of the subject. The lighting model is a model for inferring the priority lighting environment such that the concentration degree of the subject is greater than a specified concentration threshold value. The calculation unit calculates the priority lighting environment such that the concentration degree of the subject is greater than the concentration threshold value from the inference data using the lighting model. The lighting system according to Appendix 1 or Appendix 2. (Appendix 4) The lighting model is a model for inferring the priority lighting environment such that the average value of the concentration degree in the time zone when the subject is expected to work is greater than the concentration threshold value. The calculation unit calculates the priority lighting environment such that the average value of the concentration degree in the time zone when the subject is expected to work is greater than the concentration threshold value from the inference data using the lighting model. The lighting system according to Appendix 3. (Appendix 5) The lighting control unit calculates a corrected lighting environment obtained by correcting the priority lighting environment based on the circadian rhythm, and controls the lighting device so that the surroundings of the subject become the corrected lighting environment. The lighting system according to any one of Appendices 1 to 4. (Appendix 6) When the priority lighting environment is calculated in the morning, the lighting control unit calculates the corrected lighting environment that corrects the illuminance to be higher than that indicated in the priority lighting environment as a correction based on the circadian rhythm. The lighting system according to Supplementary Note 5. (Supplementary Note 7) The calculation unit calculates the priority lighting environment including the control time at which the lighting environment is realized. The lighting control unit controls the lighting device so as to be in the priority lighting environment at a time that is a specified advance time before the control time. The lighting system according to any one of Supplementary Notes 1 to 6. (Supplementary Note 8) The lighting control unit calculates a control state of the related device that is a device other than the lighting device and affects the lighting environment around the subject so that the surroundings of the subject become the priority lighting environment by the related device and the lighting device, and transmits a command to the related device to be in the control state. The lighting system according to any one of Supplementary Notes 1 to 7. (Supplementary Note 9) The related device includes a blind of a window that can be opened and closed remotely. The lighting control unit transmits a command to close the blind as the control state. The lighting system according to Supplementary Note 8. (Supplementary Note 10) The related device includes a display device. The lighting control unit transmits a command to lower the brightness of the display device as the control state. The lighting system according to Supplementary Note 8 or 9. (Supplementary Note 11) The lighting device includes an individual lighting device that illuminates the surroundings of the subject and an overall lighting device that illuminates a range including the surroundings of the subject and wider than the individual lighting device. The lighting control unit lights the overall lighting device at an illuminance lower than the illuminance included in the priority lighting environment, and realizes the illuminance included in the priority lighting environment by the overall lighting device and the individual lighting device. The lighting system according to any one of Appendices 1 to 10. (Appendix 12) The control device A group determination unit that divides a plurality of users for whom the priority lighting environments corresponding to each of them are calculated by the calculation unit into a plurality of groups so that the priority lighting environments are similar; A storage unit that stores a plurality of areas obtained by dividing a target space in which the plurality of users exist and the lighting environment is changed by the lighting device, and assigns each of the plurality of groups to any one of the plurality of areas; A notification unit that notifies the plurality of users which area among the plurality of areas is assigned; The lighting system according to any one of Appendices 1 to 11, further comprising the above. (Appendix 13) An air conditioner that performs air conditioning in the space where the target person exists Further comprising The control device From the environmental inference data including the vital value detected by the vital sensor and the lighting influence, using an environmental model, a determination unit that determines which of the lighting environment by the lighting device and the air conditioning environment by the air conditioner is more effective to change in order to improve intelligent productivity; Further comprising The control device changes one of the lighting environment and the air conditioning environment determined to be effective by the determination unit. The lighting system according to any one of Appendices 1 to 12.

Explanation of Signs

[0120] 1 Lighting system, 2 Lighting device, 2a General lighting device, 2b Individual lighting device, 3 Illuminance sensor, 4 Color temperature sensor, 5 Vital sensor, 6 Control device, 7 Related equipment, 8 Learning device, 8a Data acquisition unit, 8b Storage unit, 8c Generation unit, 10 Memory unit, 11 Receiver, 12 Influence calculation unit, 13 Condition setting unit, 14 First acquisition unit, 15 Lighting model memory unit, 16 Calculation unit, 17 Lighting control unit, 40 Notification device, 41 Area memory unit, 42 Group determination unit, 43 Assignment unit, 44 Notification unit, 50 Air conditioner, 51 Environmental learning device, 51a Environmental data acquisition unit, 51b Storage unit, 51c Generation unit, 52 Second acquisition unit, 53 Environmental model memory unit, 54 Judgment unit, 55 Air conditioning control unit, 100a Processor, 100b Memory, 200 Hardware

Claims

1. A lighting device capable of changing the lighting environment including the illuminance and color temperature around the subject, a vital sensor that detects a vital value which is an index value of the subject's heart rate or pulse rate, a control device that controls the lighting device, comprising: The control device has an influence calculation unit that calculates a lighting influence which is an index value of the physiological state of the subject based on the vital value detected by the vital sensor; a calculation unit that calculates the priority lighting environment from the inference data including the vital value detected by the vital sensor and the lighting influence, using the lighting model corresponding to the subject for inferring the priority lighting environment in which the lighting influence changes so as to improve the intellectual productivity; a lighting control unit that controls the lighting device so that the surroundings of the subject become the priority lighting environment. A lighting system having the above.

2. Further comprising a learning device, The learning device has an acquisition unit that acquires learning data including the time transition of the vital value of the subject detected by the vital sensor, the time transition of the lighting influence of the subject, and the time transition of the lighting environment around the subject; a generation unit that generates a learned lighting model for inferring the priority lighting environment from the inference data including the vital value of the subject and the lighting influence of the subject, using the learning data. The lighting system according to claim 1 having the above.

3. The lighting influence includes a concentration degree which is an index value of the subject's concentration, The lighting model is a model for inferring the priority lighting environment in which the concentration degree of the subject becomes larger than a specified concentration threshold value, The calculation unit calculates the priority lighting environment in which the concentration degree of the subject becomes larger than the concentration threshold value from the inference data using the lighting model. The lighting system according to claim 1.

4. The lighting model is a model for inferring the priority lighting environment in which the average value of the concentration degree in the time zone when the subject is expected to work becomes larger than the concentration threshold value, The calculation unit calculates the priority lighting environment in which the average value of the concentration degree in the time zone when the subject is expected to work becomes larger than the concentration threshold value from the inference data using the lighting model. The lighting system according to claim 3.

5. ​ The lighting control unit calculates a corrected lighting environment obtained by correcting the priority lighting environment based on the circadian rhythm, and controls the lighting device so that the surroundings of the subject become the corrected lighting environment. The lighting system according to any one of claims 1 to 4.

6. When the priority lighting environment is calculated in the morning, the lighting control unit calculates the corrected lighting environment corrected to increase the illuminance compared to that shown in the priority lighting environment as the correction based on the circadian rhythm. The lighting system according to claim 5.

7. The calculation unit calculates the priority lighting environment including the control time at which the lighting environment is realized. The lighting control unit controls the lighting device so as to be in the priority lighting environment at a time that is a prescribed advance time before the control time. The lighting system according to any one of claims 1 to 4.

8. The lighting control unit calculates a control state of the related device that is a device other than the lighting device and affects the lighting environment around the subject, such that the surroundings of the subject become the priority lighting environment by the related device and the lighting device, and transmits a command to cause the related device to be in the control state. The lighting system according to any one of claims 1 to 4.

9. The related device includes a blind for a window that can be remotely opened and closed. The lighting control unit transmits a command such that the blind is in a closed state as the control state. The lighting system according to claim 8.

10. The related device includes a display device. The lighting control unit transmits a command to lower the luminance of the display device as the control state. The lighting system according to claim 8.

11. The lighting device includes an individual lighting device that illuminates the surroundings of the subject, and an overall lighting device that illuminates a range including the surroundings of the subject and wider than the individual lighting device. The lighting control unit turns on the overall lighting device at an illuminance lower than the illuminance included in the priority lighting environment, and realizes the illuminance included in the priority lighting environment by the overall lighting device and the individual lighting device. The lighting system according to any one of claims 1 to 4.

12. The control device a group determination unit that divides a plurality of users for whom the priority lighting environment corresponding to each is calculated by the calculation unit into a plurality of groups so that the priority lighting environments are similar. A storage unit that stores a plurality of areas into which a target space where the plurality of users exist and the lighting environment is changed by the lighting device is divided, and an assignment unit that assigns each of the plurality of groups to any one of the plurality of areas; A notification unit that notifies the plurality of users of which area among the plurality of areas is assigned; The lighting system according to any one of claims 1 to 4, further comprising the above.

13. An air conditioner that performs air conditioning in the space where the target person exists, Further comprising, The control device, From the environmental inference data including the vital value detected by the vital sensor and the lighting influence, using an environmental model, to determine which of the lighting environment by the lighting device and the air conditioning environment by the air conditioning device is more effective to change in order to improve intelligent productivity A determination unit; Further comprising, The control device changes one of the lighting environment and the air conditioning environment determined to be effective by the determination unit; The lighting system according to any one of claims 1 to 4.

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