JP2014075232A - Illumination control device, illumination control method, and illumination control program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an illumination control device for reducing useless power while considering preference of a user.SOLUTION: An illumination control system for controlling a dimming rate of an illumination device comprises: an acquisition unit for acquiring environment data showing use environment where the illumination device is used; a possibility level storage unit for storing a possibility level setting value which is a value equal to or smaller than 0.5; a dimming rate calculation unit for calculating a dimming rate for the illumination device depending on the environment data corresponding to the possibility level setting value stored in the possibility level storage unit, on the basis of a normal distribution of the dimming rate for the illumination device determined using an average and standard deviation of a normal distribution of the dimming rate for the illumination device corresponding to the environment data, a density function of the dimming rate for the illumination device corresponding to the environment data, and a model parameter determined using the standard deviation and a weight for the environment data; and a control unit for lighting the illumination device according to the dimming rate calculated by the dimming rate calculation unit.

Description

  The present invention relates to an illumination control device that performs illumination in consideration of user preferences, an illumination control method, and an illumination control program process.

At present, reduction of power consumption is an urgent issue, and high energy-saving performance is demanded for lighting equipment in buildings.
In Patent Document 1, when a part of a lighting fixture that illuminates a space to be illuminated is turned off, the light distribution of other lighting fixtures that are turned on is controlled to prevent a decrease in efficiency due to dimming control. However, a technique for obtaining an energy saving effect is described.

JP 2011-070875 A

  However, in the technique described above, light distribution control is not performed in consideration of the user's preference, so depending on the light distribution control method, the user may feel dark or may feel brighter than necessary. When the user feels dark, dissatisfaction with the illuminance occurs, and when dimming is performed more brightly than necessary, useless power is consumed.

  The present invention has been made in view of such circumstances, and an object thereof is to provide an illumination control device, an illumination control method, and an illumination control program that reduce wasteful power while considering user preferences.

  In order to solve the above-described problem, the present invention is an illumination control device that controls a dimming rate of an illumination device, an acquisition unit that acquires environment data representing a use environment in which the illumination device is used; A probability level storage unit that stores a setting value of a probability level that is a value of 5 or less; and a dimming rate of the lighting device determined by an average and a standard deviation of a normal distribution of the dimming rate of the lighting device corresponding to the environmental data Stored in the probability level storage unit on the basis of a normal distribution of the model, a density function of a dimming rate of the lighting device according to the environmental data, and a model parameter determined by the standard deviation and a weight for the environmental data. A dimming rate calculating unit that calculates a dimming rate of the lighting device according to the environment data corresponding to the set value of the probability level, and the illumination according to the dimming rate calculated by the dimming rate calculating unit. A control unit for lighting devices, characterized by having a.

  The present invention further includes a dimming rate input unit that inputs an instruction to change the dimming rate from a user, and the dimming rate calculation unit receives an instruction to change the dimming rate from the dimming rate input unit. When input, when updating the probability distribution of the model parameter in accordance with Bayes' theorem, the model parameter is updated to correspond to the model parameter that maximizes the posterior distribution, and dimming is performed according to the model parameter after the update is performed. The dimming rate is changed by calculating the rate.

  Further, the present invention is characterized in that in the above-described lighting control apparatus, a probability level input unit that inputs the set value of the probability level and updates the set value stored in the probability level storage unit is provided.

  Further, the present invention is characterized in that, in the above-described lighting control device, the probability level storage unit stores a setting value of a probability level that is a value less than 0.5.

  The present invention is also a lighting control method in a lighting control device that controls a dimming rate of a lighting device, wherein the acquisition unit acquires environmental data representing a use environment in which the lighting device is used, and calculates a dimming rate. A normal distribution of the dimming rate of the lighting device determined by the average and standard deviation of the normal distribution of the dimming rate of the lighting device corresponding to the environmental data, and the dimming of the lighting device according to the environmental data Based on the density function of the rate and the model parameter determined from the standard deviation and the weight for the environmental data, it corresponds to the set value of the probability level which is a value of 0.5 or less stored in the probability level storage unit A dimming rate of the lighting device according to the environmental data is calculated, and the control unit turns on the lighting device according to the dimming rate calculated by the dimming rate calculation unit.

  Further, the present invention provides an illumination control device, which is a computer that controls the dimming rate of the illumination device, an acquisition step of obtaining environment data representing a use environment in which the illumination device is used, and the illumination corresponding to the environment data The normal distribution of the dimming rate of the lighting device determined by the average and standard deviation of the normal distribution of the dimming rate of the device, the density function of the dimming rate of the lighting device according to the environmental data, the standard deviation, and the Based on the model parameters determined from the weights for the environmental data, the adjustment of the lighting device according to the environmental data corresponding to the set value of the probability level which is a value of 0.5 or less stored in the probability level storage unit A dimming rate calculating step for calculating a light rate and a control step for lighting the lighting device according to the dimming rate calculated by the dimming rate calculating step are executed. And wherein the door.

  As described above, according to the present invention, the dimming rate of the illumination is controlled while using the result obtained by measuring the environmental conditions around the user and the dimming action record of the user. Thereby, the dimming rate which each user considers preferable according to various environmental conditions is calculated | required, and a user's dissatisfaction can be reduced, aiming at energy saving.

It is a schematic block diagram which shows the structure of the illumination control system by one Embodiment of this invention. It is a flowchart explaining operation | movement of a lighting control system. It is a figure explaining the setting value of a probability level.

Hereinafter, an illumination control system according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic block diagram showing a configuration of a lighting control system according to an embodiment of the present invention.
The lighting control system 1 includes a dimming rate input unit 10, a probability level input unit 20, sensors 30-1 to 30-n (hereinafter also referred to as sensors 30), an environmental data storage unit 40, a lighting control device 50, and a lighting device. 60-1 to 60-m (hereinafter also referred to as lighting device 60).

The dimming rate input unit 10 inputs an instruction for designating the dimming rate for any or all of the lighting devices 60-1 to 60-m from the user. This dimming rate may be specified by entering the dimming rate numerically, or by inputting an instruction to change to a dimming rate higher or lower than the current dimming rate. May be specified.
The probability level input unit 20 inputs a probability level setting value in response to an instruction from the user.
Sensors 30-1 to 30-n (n is a natural number of 2 or more) are environmental conditions regarding the use environment in the space to be illuminated by the lighting device 60-1 to 60-m (m is a natural number of 2 or more). Perform environmental measurements to obtain environmental data. Examples of environmental conditions include temperature (° C.), humidity (%), illuminance (lx (lux)), time (h), and the like. That is, as the sensor 30, a temperature sensor, a humidity sensor, an illuminometer, a clock, or the like can be used, and one or more of each sensor can be provided. For example, the temperature sensor, the humidity sensor, and the illuminometer are provided at different positions in the space to be illuminated (for example, for each seat installed in the space). In addition, the illuminance meter can detect outdoor light by being provided around the building including the space to be illuminated or on the rooftop.
The environment data storage unit 40 stores environment data representing the usage environment. For example, as environmental data stored in the environmental data storage unit 40, it is possible to store weather data of a region including the space to be illuminated. As the weather data, for example, information for forecasting the weather every hour, precipitation, and the like can be used.

The illumination control device 50 includes an acquisition unit 51, a dimming rate calculation unit 52, and a control unit 53.
The acquisition unit 51 acquires environment data representing a use environment in which the lighting device 60 is used. The acquisition unit 51 acquires environmental data from the sensor 30 and the environmental data storage unit 40, for example.
The dimming rate calculation unit 52 includes a control model calculation unit 521 and a storage unit 523, and an instruction for the dimming rate obtained from the dimming rate input unit 10 and a probability obtained from the probability level input unit 20 The dimming rate is calculated by performing various calculations using the set value of the level and various environmental data obtained from the acquisition unit 51.
The control model calculation unit 521 stores a calculation formula representing the control model in an internal memory, reads this calculation formula, and calculates the dimming rate by executing calculations using various data.
The control model calculation unit 521 updates the value used for the calculation in response to a dimming rate change instruction from the user input from the dimming rate input unit 10.
The storage unit 523 stores various data used when the control model calculation unit 521 performs calculation. The storage unit 523 stores, for example, weights (w, w ₀ , w ₁ ,... W _m ), probability level setting values (p _t ), and the like.

  The control unit 53 controls the lighting control ratios of the lighting devices 60-1 to 60-m to light up according to the lighting control rate calculated by the lighting control rate calculation unit 52.

The lighting devices 60-1 to 60-m are lighting devices (lighting fixtures such as lamps) provided in the space to be illuminated. The illumination device 60 is provided with illumination identification information for identifying each, and the illumination device 60-1 to 60-m to be controlled is specified by specifying the illumination identification information by the control unit 53, Lights up according to the dimming rate calculated by the dimming rate calculating unit 52. Only one lighting device 60 may be installed in a space to be illuminated, or a plurality of lighting devices 60 may be installed.
The space to be illuminated may be divided into a plurality of illumination areas. In this case, each of the divided illumination areas may be provided with a single illumination device 60, or a plurality of illumination devices 60 may be provided in some or all of the divided illumination areas. You may make it provide. In this case, one illumination device 60 may illuminate in common in adjacent illumination areas.
The change of the dimming rate of the illuminating device 60 may be made by designating the illuminating device 60 individually, or may be made by designating the illumination area. When changing the dimming rate by designating an illumination area, the dimming rate can be changed at a time for a plurality of lighting devices 60 by one operation input.

Next, the illumination control device 50 will be further described.
The control model calculation unit 521 of the dimming rate calculation unit 52 calculates the dimming rate according to the control model. The control model calculation unit 521 includes the normal distribution N of the dimming rate of the lighting device determined by the average value μ and the standard deviation σ of the normal distribution of the dimming rate of the lighting device 60 corresponding to the environmental condition value (environment data) x. And a model parameter θ determined from the density function p (y _t | x, θ) of the dimming rate of the lighting device 60 according to the environmental condition value x and the standard deviation σ and the weight w for the environmental condition value x. Based on this, the set dimming rate y of the lighting device according to the environmental data (the value of the environmental condition) corresponding to the set value of the probability level stored in the storage unit 523 is calculated.

Further, when an instruction to change the dimming rate is input from the dimming rate input unit 10, the control model calculation unit 521 of the dimming rate calculating unit 52 updates the probability distribution of the model parameter θ according to the Bayes' theorem. The update is performed so as to correspond to the model parameter θ that maximizes the posterior distribution p (θ | D), and the set dimming rate y is calculated according to the model parameter θ after the update is performed. The set dimming rate y is updated according to the instruction.
Here, when an instruction to change the set value is input by inputting a new value of the set value of the probability level from the probability level input unit 20, the control model calculation unit 521 displays the probability level after the change. The setting value is stored in the storage unit 523, and calculation is performed using the updated setting value of the probability level.

ここで、ｘ＝［ｘ_１、・・・、ｘ_ｍ］^Ｔであり、ｘ_ｊ（ｊ＝１、・・・、ｍ）は、各環境条件（例えば温度（℃）、湿度（％）、自席照度（ｌｘ）、時刻（ｈ）など）、Ｐは好ましい調光率（ユーザが嗜好する調光率）ｙ_ｔの累積分布、ｐ_ｔは確率レベルの設定値である。この確率レベルの設定値ｐ_ｔは、記憶部５２３に記憶されており、１以下の任意の値である。特に、確率レベルの設定値ｐ_ｔとして、０．５または０．５未満の値が記憶されることで、省エネを指向することができる。ｑは、環境データから調光率を出力する関数を表す。
また、調光率ｙ_ｔの密度関数ｐ（ｙ_ｔ｜ｘ，θ）は、下記の（２）式で表される。

<Configuration of control model>
A configuration of the control model when the dimming rate calculation unit 52 calculates the set dimming rate y will be described.
This control model is expressed by the following equation with the value x of the environmental condition as input and the set dimming rate y (%) of the lighting device 60 as output.

Here, x = [x ₁ ,..., X _m ] ^T , and x _j (j = 1,..., M) is an environmental condition (for example, temperature (° C.), humidity (%), seat illuminance (lx), such as the time (h)), P is the cumulative distribution preferred dimmer rate (dimmer rate user preference) y _t, p _t is the probability level settings. This probability level setting value p _t is stored in the storage unit 523 and is an arbitrary value of 1 or less. In particular, as the probability level settings p _t, that values below 0.5 or 0.5 is stored, it is possible to direct the energy saving. q represents a function for outputting the dimming rate from the environmental data.
Moreover, the dimming ratio _{y t} of the density function _{p (y t | x, θ} ) is expressed by the following equation (2).

重みｗ_１、・・・、ｗ_ｍ（ただし、ｗ_ｊ（ｊ＝１、・・・、ｍ））は、それぞれ環境データｘ_１、・・・、ｘ_ｍに対応した重みである。ｗ_０は、環境データによらない重みである。ｗ^Ｔは、重みｗの転置行列である。この確率変数θがモデルパラメータとして用いられる。 Here, p is a probability density function, μ is an average value of a normal distribution, w is a weight, and θ is a random variable. The average value μ, weight w, and random variable θ of the normal distribution can be expressed by the following equations, respectively.

Weights _w 1, ···, _{w m (although, w j (j = 1,} ···, m)) , respectively environmental data _x 1, · · ·, a weight which corresponds to _{x m.} w ₀ is a weight that does not depend on environmental data. w ^T is a transposed matrix of weight w. This random variable θ is used as a model parameter.

ここで、Ｄは、観測データであり、Ｄ＝{ｘ，ｕ}として表すことができる。ｐ（θ）は事前分布、ｐ（Ｄ｜θ）は尤度、ｐ（θ｜Ｄ）は事後分布である。事後分布は、各パラメータに関して独立であるものとし、ｗ_０、・・・・ｗ_ｍについては正規分布、σについては、対数正規分布とする。ｕは、ユーザが変更を指示した調光率の値である。尤度は次の（７）式で求められる。

<Updating the control model with learning data>
Next, when an instruction to change to the set dimming rate y (%) is input to the dimming rate calculation unit 52 via the dimming rate input unit 10 by the user's manual operation, the control model calculation unit 521 The probability distribution of model parameters is updated as follows by Bayes' theorem.

Here, D is observation data and can be expressed as D = {x, u}. p (θ) is a prior distribution, p (D | θ) is a likelihood, and p (θ | D) is a posterior distribution. The posterior distribution is assumed to be independent with respect to each parameter, w ₀ ,... W _m is a normal distribution, and σ is a log normal distribution. u is the value of the light control rate that the user has instructed to change. The likelihood is obtained by the following equation (7).

The posterior distribution becomes the prior distribution in the next update. The control model calculation unit 521 updates the control model so as to correspond to a model parameter (MAP (Maximum a posteriori) value) θ ^ _MAP (^ is the same as above). The model parameter θ shifts to θ ^ which is the value of the model parameter after the change when the user inputs an instruction to change the dimming rate. Therefore, the control model calculation unit 521 changes the control model to a control model using the changed model parameter θ ^.

ここで、

但し、μ＾（＾はμの上、以下同様）は、調光率変更の指示により更新された事後分布の平均値、σ＾（＾はσの上、以下同様）は、調光率変更の指示により更新された事後分布の標準偏差、ｗ_０＾（＾はｗ_０の上、以下同様）は、ｗ_０の変更後の値、ｗ＾^Ｔ（＾はｗの上、以下同様）は、ｗの変更後の値、Φは、標準正規累積分布を表す。 <Output of dimming rate by updated control model>
By referring to the updated model parameter θ ^ _MAP table, the set dimming rate y under the environmental conditions represented by the environmental data can be obtained from the following equation.

here,

However, μ ^ (^ is on μ, and so on) is the average value of the posterior distribution updated by the dimming rate change instruction, and σ ^ (^ is on σ, and so on) is the dimming rate change. The standard deviation of the posterior distribution updated in accordance with the instruction, w ₀ ^ (^ is above w ₀ , the same applies below) is the changed value of w ₀ , w ^T (^ is above w, the same applies below) is , W after the change, Φ represents a standard normal cumulative distribution.

Thus, when an instruction to change the dimming rate is input from the user according to the environment, the model parameter θ ^ _MAP is updated based on the instruction to obtain the model parameter θ ^ _MAP , and this model parameter θ ^ _{Using MAP} , the average of the posterior distribution updated by the dimming rate change instruction and the standard deviation σ ^ of the posterior distribution updated by the dimming rate change instruction are used to calculate the average of the normal distribution. Learn the value μ and the standard deviation σ.
Generally, according to the dimming rate that minimizes the dissatisfaction of a plurality of users, lighting with this dimming rate kept constant, the user's dissatisfaction is minimized, but the energy becomes very large. In contrast, according to the present embodiment, among the plurality of users, a user dimming ratio preferences similar identified using the probability level settings p _t, to determine the dimming ratio corresponding to the environmental Therefore, it is possible to illuminate at a dimming rate considering the user's preference while suppressing energy.
Note that in a system that consumes the same amount of energy as the amount of energy consumed when illumination is performed by the illumination control system to which the present embodiment is applied, and the light control rate is constant regardless of the environment, the illumination may vary depending on the external environment. Since it may be dark or turn on at a dimming rate higher than necessary, the number of cases that do not meet the user's preference increases, and energy may be wasted.
Further, in a system that performs illumination at a constant dimming rate so that the degree of satisfaction is the same as the degree of satisfaction when illumination is performed by the system to which the present embodiment is applied, no dissatisfaction occurs even if the dimming rate is lowered. Even in a difficult environment, lighting is performed at a constant dimming rate, and thus energy may be wasted.
On the other hand, compared to a method that does not learn user preferences, according to this embodiment, by learning user preferences according to the environment, the trade-off between energy saving and satisfaction can be appropriately controlled, and dissatisfaction can be achieved. Energy saving performance can be improved without increasing it.

Next, operation | movement of the illumination control system 1 in FIG. 1 is demonstrated using the flowchart of FIG. Here, in accordance with a user (operator) instruction, a probability level setting value is input in advance from the probability level input unit 20 and stored in the storage unit 523.
First, the sensor 30 performs measurement corresponding to environmental conditions to obtain environmental data. The acquisition unit 51 acquires the environmental data obtained from each of the sensors 30, and acquires the environmental data stored in the environmental data storage unit 40 (step S1).
Next, the dimming rate calculating unit 52 acquires the initial weight value or the updated weight according to the user's operation (step S2). The dimming rate calculation unit 52 reads the initial value of the weight from the storage unit 523.
Then, the dimming rate calculating unit 52 calculates the set dimming rate according to the control model using the current dimming rate of the lighting device 60 to be controlled, the weight, and the environment data acquired by the acquiring unit 51 (step S3). ), The set dimming rate obtained as a calculation result and the illumination identification information of the illumination device 60 to be controlled are output to the control unit 53.

The control unit 53 controls the dimming rate of the lighting device 60 corresponding to the illumination identification information obtained from the dimming rate calculating unit 52 so as to be the set dimming rate obtained from the dimming rate calculating unit 52. (Step S4).
Thereafter, the dimming rate calculation unit 52 determines whether or not an operation input for changing the dimming rate from the user is input from the dimming rate input unit 10 (step S5), and an instruction to change the dimming rate is received from the user. If not input, the acquisition unit 51 acquires the environment data again, and performs the processing from step S2 according to the acquired environment data. Thereby, even if there is no instruction | indication of the light control rate change from a user, the illuminating device 60 can be controlled so that it may become the light control rate according to the change of the surrounding environment.
On the other hand, when there is an operation input for changing the dimming rate from the user, the dimming rate calculating unit 52 calculates and updates the probability distribution of the model parameter (step S6), and proceeds to step S2.

Here, FIG. 3 is a diagram for explaining the set value of the probability level.
FIGS. 3A and 3B are diagrams showing a probability density function of a normal distribution, where the vertical axis represents the probability density and the horizontal axis represents the preferred dimming rate. Comparing FIG. 3 (a) and FIG. 3 (b), FIG. 3 (a) shows that there is less variation in the dimming rate preference than in FIG. 3 (b).
FIG. 3C and FIG. 3D are diagrams illustrating the cumulative distribution function, where the vertical axis represents the cumulative probability and the horizontal axis represents the desired dimming rate. 3C shows a cumulative distribution function corresponding to the probability density function shown in FIG. 3A, and FIG. 3D shows a cumulative distribution function corresponding to the probability density function shown in FIG. Represent.
In FIG. 3C, when the cumulative probability value is 0.5 (reference A in FIG. 3C), the probability density corresponds to the median value as shown in FIG. a) Code A) When the cumulative probability value is smaller than 0.5 (FIG. 3 (c), code B), the probability density is lower than the median as shown in FIG. Corresponds to small values.
In FIG. 3D, when the cumulative probability value is 0.5 (reference A in FIG. 3D), the probability density corresponds to the median value as shown in FIG. 3B (FIG. 3B). Symbol A), when the cumulative probability value is smaller than 0.5 (FIG. 3D, symbol B), the probability density corresponds to a value smaller than the median value as shown in FIG. To do.

  Here, since the distribution spreads when the variation in the desired dimming rate is large, the probability level setting value (probability density) is set to a lower value than when the variation in the preferred dimming rate is small. However (even if the dimming rate is lowered to some extent), the number of users who think that the dimming rate is a preference is greater than when the variation in the preferred dimming rate is small. Therefore, when the variation in the preferred dimming rate is large, it is possible to suppress the reduction in user satisfaction while realizing energy saving compared to the case where the variation in the preferred dimming rate is small. , Energy saving can be realized without increasing dissatisfaction.

  According to the above-described embodiment, the lighting control device 50 uses the dimming action record while using the illumination with variable dimming rate, the sensor that measures the environmental conditions around the user, and the interface that can be dimmed by the user. The dimming rate of lighting is controlled based on a control model that is learned and updated based on environmental conditions. Thereby, by learning the dimming rate that each user prefers according to various environmental conditions, it is possible to minimize user dissatisfaction while aiming at energy saving.

Further, by pre-reading the change in the user's brightness feeling due to environmental conditions, necessary and sufficient dimming can be realized, and wasteful power can be saved.
In addition, a trade-off between energy saving and user satisfaction with illuminance can be designed with a parameter (θ) that adjusts the probability level of the desired dimming rate.
Further, even when the user's preference changes, appropriate estimation can be performed following the change.

In the above-described embodiment, when the probability level setting value _pt is input from the probability level input unit 20 to a value higher than 0.5 and stored (set) in the storage unit 523, the surrounding environment is set. The light is adjusted so that it is brighter than the brightness required by the user. In this case, it is effective in a situation where a brighter space to be illuminated is preferred.
On the other hand, in the case of setting the probability level settings p _t as 0.5, in accordance with the dimming ratio of preference of the user is most concentrated, it is possible to control the dimming ratio of the lighting device 60 (for users Therefore, it is possible to achieve energy saving while taking into account user preferences.
Further, when the probability level settings p _t to less than 0.5, it is possible to evaluate a range not out frustration, the user not very Good relative dimming rate by targeting dimming ratio can be lowered, the probability level settings p _t can be improved further power savings in comparison with the case of the 0.5.
Moreover, can be set to any value type the probability level settings p _t from the probability level input unit 20, it is possible to set the set value p _t of the probability levels in consideration of satisfaction saving Enenizu and user.

  Further, the program for realizing the function of the illumination control device 50 in FIG. 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed to adjust the light. Rate control may be performed. Here, the “computer system” includes an OS and hardware such as peripheral devices.

Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.
The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes designs and the like that do not depart from the gist of the present invention.

DESCRIPTION OF SYMBOLS 10 Dimming rate input part 20 Probability level input part 30-1, 30-n Sensor 40 Environmental data memory | storage part 50 Lighting control apparatus 51 Acquisition part 52 Dimming rate calculation part 53 Control part 60-1, 60-m Lighting apparatus

Claims (6)

An illumination control device for controlling the dimming rate of the illumination device,
An acquisition unit for acquiring environment data representing a use environment using the lighting device;
A probability level storage unit that stores a setting value of a probability level that is a value of 0.5 or less;
The normal distribution of the dimming rate of the lighting device determined by the average value and the standard deviation of the normal distribution of the dimming rate of the lighting device corresponding to the environmental data, and the dimming rate of the lighting device according to the environmental data The lighting device according to the environmental data corresponding to the set value of the probability level stored in the probability level storage unit based on a density function and a model parameter determined from the standard deviation and a weight for the environmental data A dimming rate calculating unit for calculating the dimming rate of
A control unit for lighting the lighting device according to the dimming rate calculated by the dimming rate calculating unit;
A lighting control device comprising: A dimming rate input unit for inputting an instruction to change the dimming rate from the user;
The dimming rate calculator is
When an instruction to change the dimming rate is input from the dimming rate input unit, when the probability distribution of the model parameter is updated according to Bayes' theorem, it is updated to correspond to the model parameter that maximizes the posterior distribution. The lighting control device according to claim 1, wherein the dimming rate is changed by calculating the dimming rate according to the model parameter after the update. The lighting control device according to claim 1, further comprising: a probability level input unit that inputs a set value of the probability level and updates a set value stored in the probability level storage unit.   The lighting control device according to any one of claims 1 to 3, wherein the probability level storage unit stores a setting value of a probability level that is a value less than 0.5. A lighting control method in a lighting control device for controlling a dimming rate of a lighting device,
The acquisition unit acquires environment data representing a use environment in which the lighting device is used,
The dimming rate calculation unit includes a normal distribution of the dimming rate of the lighting device determined by an average and a standard deviation of the normal distribution of the dimming rate of the lighting device corresponding to the environmental data, and the illumination according to the environmental data Setting a probability level that is a value less than or equal to 0.5 stored in the probability level storage unit based on a density function of the dimming rate of the device and a model parameter determined from the standard deviation and the weight for the environmental data Calculating a dimming rate of the lighting device according to the environmental data corresponding to the value;
The control unit turns on the lighting device according to the dimming rate calculated by the dimming rate calculating unit. In the lighting control device which is a computer that controls the dimming rate of the lighting device,
An acquisition step of acquiring environment data representing a use environment using the lighting device;
The normal distribution of the dimming rate of the lighting device determined by the average and standard deviation of the normal distribution of the dimming rate of the lighting device corresponding to the environmental data, and the density of the dimming rate of the lighting device according to the environmental data The environment data corresponding to a set value of a probability level which is a value of 0.5 or less stored in the probability level storage unit based on a function and a model parameter determined from the standard deviation and a weight for the environment data A dimming rate calculating step of calculating a dimming rate of the lighting device according to
A control step of turning on the lighting device according to the dimming rate calculated by the dimming rate calculating step;
The lighting control program characterized by performing this.

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