JP7357252B2 - Method of presenting lighting control plan and lighting control device - Google Patents

Description

The present invention relates to a method of presenting a lighting control plan and a lighting control device.

Conventionally, when introducing dimming control or color toning control to a lighting device, settings have been made based on setting values recommended by the lighting device manufacturer. The settings based on the recommended setting values of the lighting device manufacturer also include settings based on the experience or intuition of the lighting designer.

For example, Patent Document 1 describes a lighting device that can change illuminance and color temperature, and includes a control device that can input set values for each of the illuminance and color temperature, and that controls based on the stored set values. is disclosed. The stored setting values are recommended values set in advance by the lighting device manufacturer, with illuminance and color temperature changed depending on the scene, such as desk work, a conference, a meeting, or a break.

Japanese Patent Application Publication No. 2011-14341

The above-mentioned lighting devices aim to improve user satisfaction by providing illuminance and color temperature determined in advance by the lighting device manufacturer. Therefore, it has not been possible to improve the user's satisfaction with the space from the psychological aspects of the user regarding the space, such as whether the user is comfortable in the space.

The present invention has been made in view of the problems of the prior art. An object of the present invention is to provide dimming control and color toning control that can provide a lighting space that is comfortable for the user from a psychological standpoint and improve the user's satisfaction with the space.

In order to solve the above problems, a method of presenting a lighting control plan according to a first aspect of the present disclosure provides a lighting control plan for controlling the lighting device to a user who uses a lighting installation space in which a lighting device is installed. A method for presenting a lighting control plan by an apparatus, the method comprising: obtaining from a plurality of individuals personal preference brightness levels and color temperature levels of lighting for a lighting installation space different from the lighting installation space; The preferred brightness level and color temperature level are subjective images of the individual before experiencing the lighting in the different lighting installation spaces, and are based on predetermined periodic temporal changes in the different lighting installation spaces. the step of acquiring illumination time series image information, which is also an image for each time period; the step of storing the acquired plurality of said illumination time series image information in a storage unit; and the step of storing said plurality of said illumination time series image information calculating lighting time-series pattern information in which brightness levels and color temperature levels representative of preferred brightness levels and color temperature levels for each time zone are calculated; and proposing the lighting time-series pattern information as a lighting control plan. and a step of doing so.

A lighting control device according to a second aspect of the present disclosure is a lighting control device that presents a lighting control plan for controlling the lighting device to a user who uses a lighting installation space in which the lighting device is installed, Illumination time-series image information obtained from a plurality of individuals of their preferred brightness level and color temperature level of lighting for a lighting installation space different from the lighting installation space, the preferred brightness level and color temperature level is an image based on the subjectivity of the individual before experiencing the lighting in the different lighting installation spaces, and is also an image for each predetermined time period of periodic time changes in the different lighting installation spaces. A plurality of pieces of lighting time-series image information are acquired from a storage unit in which the lighting time-series image information is stored, and representative of the desired brightness level and color temperature level for each time period of the plurality of lighting time-series image information. The lighting device includes a pattern calculation unit that calculates lighting time-series pattern information for which brightness levels and color temperature levels have been calculated, and a pattern proposal unit that proposes the lighting time-series pattern information as a lighting control plan.

According to the present disclosure, it is possible to provide a lighting space that is comfortable for the user from a psychological standpoint, and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

2 is a diagram illustrating an example of a block diagram regarding a method of presenting a lighting control plan and an initial operation of a lighting control device according to the present embodiment. FIG. 2 is a diagram illustrating an example of a method of presenting a lighting control plan according to the present embodiment and a block diagram before evaluating lighting control of a lighting control device. FIG. 2 is a diagram illustrating an example of a method of presenting a lighting control plan and a block diagram for evaluating lighting control of a lighting control device according to the present embodiment. FIG. 2 is a flowchart illustrating an example of a method of presenting a lighting control plan and an operation of a lighting control device according to the present embodiment. (a) A schematic diagram showing an example of classification of lighting control patterns according to the present embodiment. (b) is a schematic diagram showing another example of classification of lighting control patterns according to the present embodiment. (c) It is a schematic diagram which shows another example of the classification of the illumination control pattern concerning this embodiment. (a) It is a schematic diagram which shows an example of the questionnaire method regarding the brightness of the illumination control pattern concerning this embodiment. (b) It is a schematic diagram which shows an example of the questionnaire method regarding the color temperature of the illumination control pattern concerning this embodiment. (a) It is a schematic diagram which shows an example of the calculation result regarding the brightness of the illumination control pattern concerning this embodiment. (b) It is a schematic diagram which shows an example of the calculation result regarding the color temperature of the illumination control pattern concerning this embodiment. (a) It is a schematic diagram which shows an example of the calculation result by gender regarding the brightness of the illumination control pattern concerning this embodiment. (b) It is a schematic diagram which shows an example of the calculation result by gender regarding the color temperature of the illumination control pattern concerning this embodiment. (a) It is a schematic diagram which shows an example of the calculation result by year regarding the brightness of the illumination control pattern concerning this embodiment. (b) It is a schematic diagram which shows an example of the calculation result by year regarding the color temperature of the illumination control pattern concerning this embodiment. (a) It is a schematic diagram which shows an example of the calculation result by weather regarding the brightness of the illumination control pattern concerning this embodiment. (b) It is a schematic diagram which shows an example of the calculation result by season regarding the color temperature of the illumination control pattern concerning this embodiment. FIG. 2 is a schematic diagram showing an example of a part of a questionnaire regarding the color temperature of a lighting control pattern according to the present embodiment.

Hereinafter, a method for presenting a lighting control plan and a lighting control device according to the present embodiment will be described in detail with reference to the drawings. Note that the embodiments described below are comprehensive or specific examples. The numerical values, shapes, materials, components, arrangement positions and connection forms of the components, steps, order of steps, etc. shown in the following embodiments are merely examples, and do not limit the scope of the present disclosure. Furthermore, among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims indicating the most significant concept will be described as arbitrary constituent elements. Furthermore, the dimensional proportions in the drawings are exaggerated for illustrative purposes and may differ from the actual proportions.

FIG. 1 is a block diagram of an example of an initial data generation device 100 and a lighting control device 200.

The initial data generation device 100 receives lighting installation space information, lighting user information, and lighting time-series image information.

The lighting installation space information includes the following information including information regarding buildings in which lighting devices other than lighting device 400 are installed. That is, the lighting installation space information is information regarding a lighting space different from the lighting space whose lighting is controlled by the lighting control device 200. Examples of lighting installation space information include the size of the office, the amount of outside light entering, whether the weather is checked, the direction of windows, whether automatic brightness adjustment is available, the region where the building is located, the year the building was completed, Examples include the year the building was renovated, the floor area, the color of walls, floors, and ceilings, and the reflectance of walls, floors, and ceilings. Examples of lighting installation space information include information such as materials of walls, floors, and ceilings, types of lighting, number of lighting, types of fixtures, number of fixtures, and the like. Further, the lighting installation space information may be provided with a free description column.

The lighting user information includes information regarding users who use lighting devices other than lighting device 400. Examples of lighting user information include age, gender, eyesight, experience living in a snowy country, marital status, presence of children, household income, personal income, occupation, place of birth, whether or not the lighting-related occupation is involved, and whether the person works in the office or outside the office. Examples of information include the ratio, usage rate of the work environment in the office, and current office brightness and color temperature. Further, the lighting user information may be provided with a free description field.

The lighting time-series image information indicates how a user of a lighting device other than the lighting device 400 would like to change the brightness and color temperature of the lighting in a place where a lighting device other than the lighting device 400 is installed. This is subjective information that shows images in chronological order. If the place where the lighting device is installed is an office, one example is to classify the time series as follows. That is, examples of time zones that divide the office time series include a preparation time zone before and after the start of work, which are time zones before and after the start of work, and a start time zone after the start of work. Further, examples of time slots for dividing the office time series include a lunch time slot, and a pre-lunch time slot and a post-lunch time slot, which are time slots before and after the lunch time slot. Further examples include a time period before and after the end of work, which is a time period before end of work before end of work, and an overtime time period after end of work. Note that the time zone before the end of the work day may also be referred to as a time zone before regular hours or before regular hours in this specification. Furthermore, the time period between the start time after the start of work and the time before lunch is defined as mid-morning, and the time between the time after lunch and the time before end of work is defined as mid-afternoon. Sometimes referred to as the time period. The above-mentioned time periods for dividing the office time series are continuous time periods or discontinuous time periods. Further, the lengths of the above-mentioned time periods for dividing the office time series may be the same or may be different. Furthermore, the time periods for dividing the time series are not limited to the above-mentioned time periods.

Note that the lighting time-series image information includes subjective information that shows how you want the brightness and color temperature of the lighting to change in chronological order depending on the weather (sunny, cloudy, snow, rain). You may be In addition, the lighting time-series image information includes subjective information that shows how you want the brightness and color temperature of the lighting to change depending on the season (spring, summer, autumn, winter) in chronological order. You may be Further, the illumination time series image information may include subjective information indicating how the brightness and color temperature of the illumination are desired to be changed in time series depending on holidays, weekdays, or days of the week. Furthermore, the illumination time series image information may be provided with a free description column.

Furthermore, as an example of changes in illumination brightness and color temperature, a method of classifying the illumination into seven stages will be described. However, the stages to be classified are not limited to seven stages, but can be divided into arbitrary stages. Words that express the brightness of lighting in seven levels are: "I want it to be very bright," "I want it to be bright," "I want it to be somewhat bright," "moderate (general)," "I want it to be somewhat dark," "I want it to be dark," and "I want it to be slightly bright." One example is the classification based on the words "I want it to be very dark." Each expression is converted to lux, and an example of the conversion method is detailed below.

Regarding conversion to illuminance, 750 lux corresponds to "moderate (general)" from among the illuminance differences that can be intuitively recognized as described in JIS Z9110 4.3.3 Illuminance stages. Let me sort it out. 750 lux is the recommended value for the maintenance illuminance of an office according to JIS Z9110. Therefore, in this embodiment, "I want to make it very bright" corresponds to 2000 lux, "I want to make it bright" corresponds to 1500 lux, and "I want to make it somewhat bright" corresponds to 1000 lux. Further, in this embodiment, "I want to make it a little dark" corresponds to 500 lux, "I want to make it dark" correspond to 300 lux, and "I want to make it very dark" correspond to 200 lux.

Words that express the color temperature of lighting in seven stages are "very high color temperature", "6500K", "5000K", "4000K", "3500K", "3000K", and "very low color temperature". One example is the classification based on the word. "K" indicates the unit of color temperature and means Kelvin. "6500K" is white light with a slight bluish tinge, and is sometimes referred to as daylight color. "5000K" is white light with a very slight bluish tinge, and is sometimes referred to as daylight white light. "4000K" is white light with a very slight yellow tinge, and is sometimes referred to as white light. "3500K" is a white light that has a yellow tinge, and is sometimes referred to as warm white light. "3000K" is a yellowish light similar to that of an incandescent light bulb, and is sometimes referred to as light bulb color. In this embodiment, "very high color temperature" corresponds to 11,000 Kelvin, and "very low color temperature" corresponds to 2,200 Kelvin. When surveying users about the color temperature of illumination time-series image information, the differences in color temperature are presented graphically to help users visualize the differences in color temperature. Details will be described later.

For example, FIG. 11 graphically shows the difference in color temperature when surveying the color temperature level in the lighting time-series image information in FIG. 1, the used lighting time-series image information in FIG. 2, and the sensory evaluation information in FIG. This is part of the schematic diagram. Users taking the questionnaire can not only recognize the difference in color temperature in Kelvin, but also the degree of color under natural light and artificial light sources. In addition, in Figure 11, the higher the color temperature, the darker the bluish color is displayed, and the lower the color temperature, the darker the reddish color is displayed, making it possible for the user to recognize the color temperature by the gradation of color. Become. Further, when the color temperature is high, a clear sky without clouds is shown, and when the color temperature is slightly high, a clear sky with clouds is shown, allowing the user to graphically recognize the difference in color temperature. Furthermore, when the color temperature is slightly low, a sunset is shown, and when the color temperature is low, a candlelight is shown, allowing the user to graphically recognize the difference in color temperature.

Using the color temperature gradation in FIG. 11, the difference in the color temperature level shown in FIG. 6(b) is surveyed in a selectable manner for each time period. The color temperature in the case of "very high color temperature" is 11,000 Kelvin, but the color temperature corresponding to 11,000 Kelvin in FIG. 11 is displayed in the color temperature selection box. Further, the color temperature in the case of "very low color temperature" is 2200 Kelvin, but the color temperature corresponding to 2200 Kelvin in FIG. 11 is displayed in the color temperature selection box. Further, in other boxes for selecting color temperatures, color temperatures corresponding to each Kelvin in FIG. 11 are displayed.

Further, the box related to brightness in FIG. 6(a) displays differences in brightness using black and white gradation, and the higher the brightness level is, the whiter it is, and the lower the brightness level is, the blacker it is displayed. Users can graphically recognize differences in brightness using black and white gradations.

The initial data generation device 100 inputs the above-described lighting installation space information, lighting user information, and lighting time series image information, and the association unit 101 inputs the lighting installation space information, lighting user information, and lighting time series image information. Associate image information. The associated information is stored by the association unit 101 in the initial storage unit 300a. The information stored in the initial storage unit 300a is sometimes referred to as so-called big data. Note that the function of the association section 101 of the initial data generation device 100 can also be executed by the usage association section 201 shown in FIG. 2 of the lighting control device 200.

The lighting control device 200 includes a pattern calculation section 202, a pattern proposal section 203, a pattern selection section 204, and a lighting control section 205.

The pattern calculation unit 202 inputs lighting installation space information, lighting user information, and lighting time-series image information stored in association with the initial storage unit 300a. The pattern calculation unit 202 calculates illumination time series pattern information from the associated information and stores the illumination time series pattern information in the initial storage unit 300a.

An example of the lighting time series pattern information is a time series obtained by arithmetic averaging of the values of lighting brightness and color temperature desired by all users in each time period of the lighting time series image information stored in the initial storage unit 300a. Examples include pattern information.

An example of illumination time series pattern information is shown in FIG. FIG. 7A is an example of lighting time-series pattern information obtained by arithmetic averaging of preferred brightness change images for each user's lighting included in the lighting time-series image information. The illumination time series pattern information is an example of time series pattern information regarding brightness. The time-series pattern information for brightness included in the illumination time-series pattern information shown in FIG. 7A may be referred to as a "preferred brightness change image." Note that the "preferred brightness change image" shown in FIG. 7(a) is not information based on the result of the user actually experiencing the illumination by the lighting device 400, but is based on the imagination of the user who has not experienced the illumination by the lighting device 400. This information represents subjectively desirable brightness.

According to the "preferred brightness change image" shown in FIG. The brightness will be slightly lower. During the lunch break, a brightness that is close to a slightly dark state is desired; during the time after the lunch break, a brightness that is between a slightly bright state and a bright state is desired; and overtime, the desired brightness is It gets lower.

FIG. 7B is an example of illumination time-series pattern information obtained by arithmetic averaging of preferred color temperature change images for each user's illumination included in the illumination time-series image information. The illumination time series pattern information is an example of time series pattern information regarding color temperature. The time-series pattern information for color temperature included in the illumination time-series pattern information shown in FIG. 7(b) may be referred to as a "preferred correlated color temperature change image." Note that the "preferred correlated color temperature change image" shown in FIG. 7(b) is not information based on the result of the user actually experiencing the illumination by the illumination device 400, but is based on the imagination of the user who has not experienced the illumination by the illumination device 400. This is information based on the image of subjectively preferred color temperature.

According to the "preferred correlation color temperature change image" shown in FIG. The desired color temperature is achieved during the lunch break. The color temperature tends to be warm during the lunch break, and a color temperature between 4000K (white) and 3500K (warm white) is desired. It is judged that a color temperature of about "5000K" (daylight white) is preferable. The desired color temperature tends to become warmer during overtime hours. During overtime hours, it is desired that the color temperature be the same as during lunch breaks.

Note that it is also possible to classify the illumination time-series image information into several patterns. FIG. 5 shows a schematic diagram in which illumination time-series image information is classified according to characteristic patterns. The patterns of illumination time-series image information in FIGS. 5A, 5B, and 5C are schematic diagrams that emphasize the features of each pattern. FIG. 5(a) is called an activation type, and is a pattern in which it is preferred to set the brightness level and color temperature level high during the time period after the start of work and the time period after lunch break. FIG. 5(b) is called an AM boost type, and is a pattern in which it is preferable to set the brightness level and color temperature level high from the time period after the start of work to the time period before lunch break. FIG. 5C is a pattern called a daylight follow type, in which it is preferable to set the brightness level and color temperature level to correspond to changes in sunlight.

In addition, as an example of lighting time-series pattern information, lighting time-series image information such as "When and how do you want to change the dimming color adjustment" is used as training data, lighting installation space information, lighting user information, etc. Information includes information that has been clustered.

FIG. 8 is another example of illumination time series pattern information. FIG. 8(a) shows the time-series pattern information for brightness included in the lighting time-series pattern information, which is the arithmetic average of the preferred brightness change images for each user's lighting included in the lighting time-series image information, for each gender. This is an example. From FIG. 8(a), no significant difference was observed between the arithmetic averages of brightness between men and women.

In other words, according to the "preferred brightness change image" shown in FIG. The desired brightness will become slightly lower as the brightness increases. During the lunch break, a brightness that is close to a slightly dark state is desired; during the time after the lunch break, a brightness that is between a slightly bright state and a bright state is desired; and overtime, the desired brightness is It gets lower.

FIG. 8(b) shows the time-series pattern information for color temperature included in the lighting time-series pattern information, which is the arithmetic average of the preferred color temperature change images for each user's lighting included in the lighting time-series image information, for each gender. This is an example. From FIG. 8(b), no significant difference was observed between the arithmetic averages of color temperature between men and women.

In other words, according to the "preferred correlation color temperature change image" shown in FIG. The temperature reaches the desired color temperature during the lunch break. The color temperature tends to be warm during the lunch break, and a color temperature between 4000K (white) and 3500K (warm white) is desired. It is judged that a color temperature of about "5000K" (daylight white) is preferable. The desired color temperature tends to become warmer during overtime hours. During overtime hours, it is desired that the color temperature be the same as during lunch breaks.

FIG. 9 is another example of illumination time series pattern information. FIG. 9(a) shows the time-series pattern information for brightness included in the lighting time-series pattern information, which is the arithmetic average of the preferred brightness change images for lighting for each user included in the lighting time-series image information, by age. This is an example. The age groups are divided into four groups, and the changes in the arithmetic mean are illustrated for the 20s, 30s, 40s, and 50s. Figure 8(a) shows that there are differences in the preferred image of brightness among the arithmetic averages according to age.

In other words, according to the "desirable brightness change image" shown in Figure 8(a), the older you get, the more you think that brighter lighting is preferable; I imagine that lighting with higher brightness is preferable. Additionally, young people in their 20s tend to like to make large changes in brightness, especially during the hours after lunch break. Therefore, there is the possibility of finely tuned lighting control for brightness in venture companies with many young workers and in companies with advanced use of older workers.

FIG. 9(b) shows the time-series pattern information for color temperature included in the lighting time-series pattern information, which is the arithmetic average of the preferred color temperature change images for each user's lighting included in the lighting time-series image information, by age. This is an example. The age groups are divided into four groups, and the changes in the arithmetic mean are illustrated for the 20s, 30s, 40s, and 50s. From FIG. 8(b), there was a difference in the preferred image of color temperature between the arithmetic averages according to age.

In other words, according to the "preferred correlation color temperature change image" shown in FIG. I imagine that Saidai prefers lighting with a higher color temperature. Also, during the lunch break. The older you get, the more you think that a lower color temperature is preferable. Furthermore, young people in their 20s tend to like to change the color temperature significantly, especially during the hours after lunch break. Therefore, there is the possibility of finely tuned lighting control for color temperature in venture companies with many young workers and in companies with advanced use of older workers.

FIG. 10 is another example of illumination time-series pattern information. FIG. 10(a) shows the time-series pattern information for brightness included in the lighting time-series pattern information, which is the arithmetic average of the preferred brightness change images for each user's lighting included in the lighting time-series image information, for each weather. This is an example. The weather was divided into three categories, and images of changes in the arithmetic mean were illustrated for clear skies, cloudy or rainy skies, and snow. From FIG. 8(a), it was seen that there were differences in preferred images among the arithmetic averages for each weather with respect to brightness.

In other words, according to the "desirable brightness change image" shown in FIG. 10(a), it is desirable to lower the brightness from the time after the start of work to the lunch break time compared to the overall average on sunny days. . In addition, when the weather is clear, it is preferable to lower the brightness from the time after lunch break to the middle of the afternoon compared to the overall average. Furthermore, in cloudy, rainy, or snowy weather, it is preferable that the brightness be brighter than the overall average from the lunch break, before regular work hours, to overtime hours. In this way, there were differences in preferred brightness images among the arithmetic averages for each weather.

FIG. 10(b) shows the time-series pattern information for color temperature included in the lighting time-series pattern information, which is the arithmetic average of the preferred color temperature change images for each user's lighting included in the lighting time-series image information, for each season. This is an example. The seasons are divided into four, and images of changes in the arithmetic mean are illustrated for summer, winter, spring or common spring/autumn, and autumn. From FIG. 10(b), it was seen that there were differences in preferred images among the seasonal arithmetic averages for color temperature. In particular, there is a large difference in preferred images compared to the overall average in summer and winter.

In other words, according to the "preferred correlation color temperature change image" shown in FIG. It is perceived as desirable. Furthermore, in summer, it is thought that it is preferable to increase the color temperature from the time after the lunch break to the middle of the afternoon compared to the overall average.

In addition, according to the "preferred correlation color temperature change image" shown in Figure 10(b), in winter, the color temperature is lower than the overall average in all time periods from the time after the start of work to the time during overtime. It seems preferable to lower it.

In this way, according to Figure 10(a), it is better to change the brightness depending on the weather, and according to Figure 10(b), it is better to change the color temperature depending on the season, especially summer and winter. It is perceived as more desirable.

Note that it is also possible to further classify the illumination time-series image information of FIGS. 8 to 10 described above into several patterns shown in FIG. 5.

The pattern proposal unit 203 in FIG. 1 reads out lighting time-series pattern information for controlling the lighting device 400, presents a plurality of lighting time-series pattern information on an output device such as a display device (not shown), and proposes it to the user. . Examples regarding the brightness of the illumination time series pattern information to be presented include, but are not limited to, FIG. 7(a), FIG. 8(a), FIG. 9(a), and FIG. 10(a). . Furthermore, examples of the color temperature of the illumination time-series pattern information to be presented include, but are not limited to, FIG. 7(b), FIG. 8(b), FIG. 9(b), and FIG. 10(b). isn't it. For example, there may be lighting time-series pattern information classified based on other lighting installation space information and/or lighting user information.

The pattern selection unit 204 in FIG. 1 stores the illumination time-series pattern information selected from among the illumination time-series pattern information proposed by the pattern proposal unit 203 in the initial storage unit 300a as introduction time-series pattern information. The introduction time series pattern information can be associated with at least one of lighting installation space information, lighting user information, and lighting time series image information.

The lighting control unit 205 in FIG. 1 controls the brightness and color temperature of the light emitted by the lighting device 400 according to the introduction time series pattern information stored in the initial storage unit 300a.

As described above, the lighting control device 200 receives lighting user information and lighting time-series image information from a person who uses a lighting space where the lighting device 400 is not installed as a lighting device, and the lighting installation of the lighting space. Spatial information can be used. The lighting control device 200 then proposes lighting time-series pattern information using the databased lighting installation space information, lighting user information, and lighting time-series image information, and determines the lighting time-series pattern information to be introduced. If so, the lighting device 400 is controlled.

Therefore, even from big data from people who use lighting spaces where lighting device 400 is not installed, it is possible to estimate the lighting space desired by the user from a psychological perspective. Further, it is possible to provide dimming control and color toning control that can be estimated to improve the user's satisfaction with the lighting space.

FIG. 2 shows a case where used lighting user information and/or used lighting time-series image information from a person who uses the lighting space in which the lighting device 400 is installed, and used lighting installation space information of the lighting space are used. FIG. 2 is a block diagram showing the operation of the lighting control device 200 of FIG.

The lighting control device 200 includes a usage association section 201, a pattern calculation section 202, a pattern proposal section 203, a pattern selection section 204, and a lighting control section 205.

Note that the pattern calculation section 202, pattern proposal section 203, pattern selection section 204, and illumination control section 205 can also perform the operations shown in FIG.

The usage association unit 201 inputs usage lighting installation space information, usage lighting user information, and usage lighting time series image information, and inputs usage lighting installation space information, usage lighting user information, and usage lighting time series image information. to associate. The usage association unit 201 stores the associated information in the usage storage unit 300b. Note that if either the lighting installation space information or the lighting user information is entered, neither the lighting installation space information nor the lighting user information will be entered, and only the lighting chronological image information will be entered. may also be entered.

Note that the used lighting installation space information is information that targets the lighting space in which the lighting device 400 is installed, and has information according to the divisions classified by the lighting installation space information explained in FIG. 1.

Further, the lighting user information in use is information targeted at users of the lighting space in which the lighting device 400 is installed, and includes information according to the classification of the lighting user information explained in FIG. 1. .

Furthermore, the usage lighting time series image information is information targeted at users of the lighting space where the lighting device 400 is installed, and is information according to the classifications classified by the lighting time series image information explained in FIG. 1. has.

The pattern calculation unit 202 inputs the usage lighting installation space information, usage lighting user information, and usage lighting time-series image information stored in association with the usage storage unit 300b. Alternatively, the pattern calculation unit 202 inputs at least the illumination time-series image information stored in the initial storage unit 300a. Preferably, the pattern calculation unit 202 receives all of the lighting installation space information, lighting user information, and lighting time-series image information stored in the initial storage unit 300a.

The pattern calculation unit 202 extracts the lighting user information in the initial storage unit 300a that has specific characteristics in the lighting user information used, and extracts the lighting time-series image information in the initial storage unit 300a associated with the lighting user information. Extract further. The pattern calculation unit 202 calculates the used lighting time-series pattern information by calculating the arithmetic average of the used lighting time-series image information and the lighting time-series image information.

As an example, a case will be described in which a specific characteristic in the lighting user information is that there are many women in their 50s. The pattern calculation unit 202 extracts lighting user information having information that the user is a woman in her 50s from the initial storage unit 300a. Then, illumination time-series image information that is desirable for women in their 50s is extracted from the initial storage unit 300a. Used lighting time-series image information for a case where the used lighting user information is characterized by a woman in her 50s is extracted from the used lighting storage unit 300b. The pattern calculation unit 202 calculates the used lighting time-series pattern information by calculating the arithmetic average of the used lighting time-series image information and the lighting time-series image information having the attribute of a woman in her 50s. In this way, the lighting control device 200 utilizes not only image information of people who use the installation space of the lighting device 400 but also information of people who have common characteristics and use lighting spaces other than the installation space of the lighting device 400. It becomes possible to do so. As a result, the lighting control device 200 can propose usage lighting time-series pattern information that the user feels is more preferable. For example, when the number of lighting user information is small, it is possible to increase the number of samples based on the lighting user information, so it is possible to accurately propose lighting chronological pattern information that the user feels is more desirable. It becomes possible to do so.

Further, the pattern calculation unit 202 extracts the lighting installation space information in the initial storage unit 300a that has specific characteristics in the usage lighting installation space information, and extracts the lighting time-series image in the initial storage unit 300a associated with the lighting installation space information. Further information can also be extracted. The pattern calculation unit 202 calculates the used lighting time-series pattern information by calculating the arithmetic average of the used lighting time-series image information and the used lighting time-series image information having specific characteristics in the used lighting installation space information. As an example, the specific feature of the information on the lighting installation space used may include the feature of an office having large windows facing north. In this case, the pattern calculation unit 202 calculates the used lighting time-series pattern information by calculating the arithmetic average of the used lighting time-series image information and the lighting time-series image information that have the attribute of an office with a large north-facing window. do. As a result, the lighting control device 200 can propose usage lighting time-series pattern information that the user feels is more preferable.

The pattern calculation unit 202 also generates lighting time-series image information having specific features in the usage lighting user information as attributes, lighting time-series image information having specific features in the usage lighting installation space information as attributes, and lighting time-series image information having specific features in the usage lighting installation space information as attributes. It can be used together with time-series image information. In this case, the lighting control device 200 can accurately suggest usage lighting time-series pattern information that the user feels is more preferable.

Note that the pattern calculation unit 202 can also calculate the illumination time-series pattern information to be used using a method using AI (Artificial Intelligence), including the above-mentioned clustering method and a method using a neural network.

The pattern proposing unit 203 in FIG. 2 reads the usage lighting time series pattern information for controlling the lighting device 400, and presents the usage lighting time series pattern information on an output device such as a display device (not shown). In this case, the illumination time-series pattern information used may include time-series pattern information that reflects differences in weather and seasons.

The pattern selection unit 204 in FIG. 2 stores the usage lighting time-series pattern information selected from the usage lighting time-series pattern information proposed by the pattern proposal unit 203 as usage time-series pattern information in the usage storage unit 300b. The usage time series pattern information can be associated with at least one of usage lighting installation space information, usage lighting user information, and usage lighting time series image information.

The lighting control unit 205 in FIG. 2 controls the brightness and color temperature of the light emitted by the lighting device 400 according to the usage time-series pattern information stored in the usage storage unit 300b.

As described above, the lighting control device 200 collects (usage) lighting user information and ( Use) Lighting time-series image information can be used. Furthermore, the lighting control device 200 can utilize lighting installation space information (used) of the lighting space. Then, the lighting control device 200 proposes the lighting time-series pattern information to be used, using the (used) lighting installation space information, (used) lighting user information, and (used) lighting time-series image information that have been made into a database. . The lighting control device 200 controls the lighting device 400 once the usage lighting time-series pattern information is determined.

Therefore, it is possible to estimate a desired lighting control pattern from a psychological perspective for the user who uses the lighting space in which the lighting device 400 is installed. By using big data from people who use lighting spaces where the lighting device 400 is not installed, it becomes possible to accurately estimate a desired lighting control pattern from a psychological perspective. Further, it is possible to provide dimming control and color toning control that can be accurately estimated to improve the user's satisfaction with the lighting space.

FIG. 3 shows lighting based on sensory evaluation information from a person who has experienced the brightness and color temperature of the usage time-series pattern information in a lighting space where the lighting control device 200 controls the lighting device 400 using usage time-series pattern information. 2 is a block diagram showing the operation of the control device 200. FIG.

In FIGS. 1 and 2, the brightness and color temperature change patterns are imaginary subjective images of a person who has no experience with lighting control by the lighting device 400. However, by experiencing a pattern of changes in brightness and color temperature based on an imaginary subjective image, the brightness and color temperature that feel comfortable may actually differ from the subjective image. Figure 3 shows the operation of feeding back sensory evaluation information from people who have experienced the brightness and color temperature based on usage time-series pattern information to find a more preferable brightness and color temperature change pattern that maximizes the sensory evaluation information. shows. That is, unlike the questionnaire information for generating the information stored in the usage storage unit 300b and the questionnaire information for obtaining the sensory evaluation information, the lighting control device 200 operates using these different questionnaire information. .

The lighting control device 200 includes a usage association section 201, a pattern calculation section 202, a pattern proposal section 203, a pattern selection section 204, and a lighting control section 205.

Note that the pattern calculation section 202, pattern proposal section 203, pattern selection section 204, and illumination control section 205 can also perform the operations shown in FIGS. 1 and 2. Further, the usage association unit 201 can also perform the operations shown in FIG. 2 .

The usage association unit 201 receives sensory evaluation information from a person who has experienced the brightness and color temperature of the usage time-series pattern information, and the associated information stored in the usage storage unit 300b. Since the details of the associated information stored in the usage storage unit 300b have been explained in FIG. 2, detailed explanation will be omitted here.

The sensory evaluation information includes the degree of satisfaction with the lighting control after experiencing the lighting control of brightness and color temperature based on the usage time-series pattern information. Sensory evaluation information also includes current office brightness, current office color temperature, preferred office brightness, preferred office color temperature, whether or not you felt a change in lighting, and whether or not you noticed a change in lighting. It includes information such as whether the image is bright or dark, and whether it feels bright or dark. Furthermore, the sensory evaluation information included whether you felt pale or reddish-yellow, whether you felt the mood (at lunch, overtime, etc.), whether you felt alert, whether your concentration improved, and whether your work efficiency improved. This includes information such as whether you are able to sleep well at night. In addition, sensory evaluation information includes whether the space becomes more relaxing when the color temperature drops, whether it makes you want to go home early after the scheduled time, whether the amount of conversation has increased, whether work style reform is effective, and whether the dimming and color changes are effective. This includes information such as whether you want to change it over time. Further, the sensory evaluation information includes information on when and how to change the brightness and color temperature, and information in a free description column regarding other dimming and color control. The timing may include preparation before starting work, after starting work, mid-morning, before lunch, during lunch, after lunch, mid-afternoon, before regular work hours, and overtime.

Further, for each individual who has experienced the usage time-series pattern information, the usage lighting time-series image information answered by each individual before experiencing the usage time-series pattern information may be included in the questionnaire. Each individual who has experienced the usage time-series pattern information can answer psychologically preferable brightness and color temperature based on the usage lighting time-series image information. Note that the time-series image information of the lighting used may not be included in the questionnaire.

The pattern calculation unit 202 calculates sensory time series pattern information based on the associated information stored in the usage storage unit 300b and the sensory evaluation information.

The sensory time-series pattern information includes the usage time-series pattern information as one piece of information, and the usage time-series pattern information as well as the sensory evaluation information of each individual who has experienced the usage time-series pattern information, including brightness and color temperature for each time period. It may be time series pattern information adjusted at a preferable level. Further, as an example, the sensory time-series pattern information may be time-series pattern information indicating when and how to change the brightness and color temperature included in the sensory evaluation information. Furthermore, the sensory time-series pattern information includes the usage time-series pattern information as one piece of information, and the brightness and color for each time period of the usage time-series pattern information and the sensory evaluation information of each individual who experienced the usage time-series pattern information. It may be an arithmetic mean with a preferred level of temperature. In this case, sensory time-series pattern information that mildly reflects the sensory evaluation information is calculated. As explained above, the sensory time-series pattern information is also information that has preferable levels for each time zone for each brightness and color temperature.

In addition, an example of sensory time-series pattern information includes time-series pattern information that is clustered using sensory evaluation information as training data and (used) lighting installation space information and/or (used) lighting user information. can be mentioned.

Furthermore, an example of sensory time-series pattern information is the result of estimating an individual's preference for lighting control using a neural network, and estimating the lighting control that maximizes the preference for the entire office. One example is time-series pattern information. An example of such estimation is a method of creating a model using the Keras (registered trademark) library, using the lighting installation space information and/or the lighting user information as a feature variable and the sensory evaluation information as an objective variable.

For example, the sensory time-series pattern information may be time-series pattern information that reflects a reduction in the "changes in illumination" ratio in the sensory evaluation information. Alternatively, the time-series pattern information may reflect an increase in the percentage of "work efficiency has improved" and "work style reform is effective". In other words, sensory time-series pattern information is the result of estimating lighting control that reduces negative evaluations, increases positive evaluations, and maximizes psychological desirability throughout the office. is calculated and proposed. Note that there may be multiple candidates for sensory time-series pattern information that maximizes psychological desirability throughout the office.

The pattern proposal unit 203 in FIG. 3 reads sensory time series pattern information for controlling the lighting device 400, and presents a plurality of sensory time series pattern information on an output device such as a display device (not shown).

The pattern selection unit 204 in FIG. 3 stores the sensory time series pattern information selected from the sensory time series pattern information proposed by the pattern proposal unit 203 in the sensory storage unit 300c as used sensory time series pattern information.

The illumination control unit 205 in FIG. 3 controls the brightness and color temperature of the light emitted by the lighting device 400 according to the used sensory time series pattern information stored in the sensory storage unit 300c.

The above-described operation of the illumination control unit 205 in FIG. 3 can be performed multiple times. For example, it is possible to repeat the operation of the lighting control unit 205 in FIG. 3 until the satisfaction level of the user who has experienced the lighting controlled by the sensory time-series pattern information used exceeds a predetermined threshold.

As explained above, the user of the lighting installation space in which the lighting device 400 is installed, before experiencing the lighting control by the lighting device 400, uses the time-series image information of the lighting used, which is psychologically important to the user. may not be the optimal lighting control desired.

In such a case, the user experiences the lighting control based on the time-series image information of the lighting in use, and the lighting control device 200 recognizes the difference from the time-series image information of the lighting in use as sensory evaluation information, thereby providing a psychological preference. Calculate sensory time-series pattern information that maximizes sensitivity.

Then, the lighting control device 200 performs lighting control according to the usage sensory time series pattern information selected from the sensory time series pattern information, and the lighting control device 200 performs a trial until the psychological desirability is maximized in the entire office. Repeating erroneous movements. However, since the sensory time series pattern information is estimated based on various attributes of the sensory evaluation information, the user cannot select the sensory time series pattern information to actually experience from a variety of sensory time series pattern information. It becomes possible. Therefore, it is possible to provide a lighting space that is psychologically comfortable for the user and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

In this way, it is possible for the users of the lighting installation space where the lighting device 400 is installed to improve their satisfaction with the lighting space through an imaginary image before experiencing the lighting control by the lighting device 400. It becomes possible to provide the lighting control device 200.

Note that the lighting control device 200 can also store information such as usage lighting installation space information, usage user information, usage lighting time-series image information, usage time-series pattern information, etc. in the initial storage unit 300a. The lighting control device 200 can improve the accuracy of the lighting time-series pattern information proposed in FIG. 1 by increasing the amount of information stored in the initial storage unit 300a.

In addition, sensory evaluation information, sensory time series pattern information, and usage sensory time series pattern information are stored in the initial storage unit 300a, and usage lighting installation space information, usage user information, usage lighting time series image information, and usage time series pattern information are stored in the initial storage unit 300a. It is also possible to associate it with
When new usage lighting installation space information and new usage user information are input, the lighting control device 200 generates past usage sensory time series pattern information from the past usage lighting installation space information and past usage user information. can be proposed as new lighting time-series pattern information. Therefore, it is possible to accurately propose usage lighting time-series pattern information that can improve satisfaction with the lighting space.

Note that the pattern selection unit 204 selects the introduction time series pattern information, the use time series pattern information, and the use sensory time series pattern information based on the attribute information of the user who uses the lighting space in which the lighting device 400 is installed. It is also possible to The user attribute information may include lighting user information and the user's psychological status. The user's psychological state may include a busy work situation when using lighting control, and a change in psychological state depending on the day of the week when using lighting control.

Further, it is also possible to configure the lighting control device 200 to include an initial storage section 300a, a usage storage section 300b, and a sensory storage section 300c.

(How to present a lighting control plan and an outline of the operation flow of the lighting control device)
Next, a method of presenting a lighting control plan and a flowchart of an example of the operation of the lighting control device will be described based on FIG. 4. The processing procedure in FIG. 4 is executed by a CPU (Central Processing Unit) included in the lighting control device 200. Examples of operating units that execute some functions of the CPU include a usage association unit 201, a pattern calculation unit 202, a pattern proposal unit 203, a pattern selection unit 204, and a lighting control unit 205. In this case, the CPU executes a program stored in a ROM (Read Only Memory) (not shown).

Note that part or all of the following processing procedure can be executed by hardware such as a DSP (Digital Signal Processor) or an ASIC (Application Specific Integrated Circuit). However, in this embodiment, a case will be described in which the CPU executes the program according to the program in the ROM.

In step S401, the initial data generation device 100 generates information regarding a lighting installation space in which the lighting device 400 is not installed as initial data. The initial data generation device 100 receives lighting installation space information, lighting user information, and lighting time-series image information. The lighting installation space information and lighting user information may not be input to the initial data generation device 100. Note that the lighting installation space information, lighting user information, and lighting time-series image information have already been described in detail, so they will not be described in detail here to avoid duplication of explanation.

In step S402, the lighting control device 200 determines whether to collect information regarding the lighting installation space in which the lighting device 400 is installed. Whether or not to collect the information can be determined based on the variance or reliability of the lighting time-series pattern information calculated by the lighting control device 200. It is also possible that the determination is made by the user of the lighting installation space where the lighting device 400 is installed. If information regarding the lighting installation space where the lighting device 400 is installed is not collected (step S402: NO), the lighting control device 200 proceeds to step S403. When collecting information regarding the lighting installation space where the lighting device 400 is installed (step S402: YES), the lighting control device 200 proceeds to step S404.

In step S403, the lighting control device 200 calculates lighting time-series pattern information based on at least the lighting time-series image information collected in step S401. An example of a method for calculating illumination time-series pattern information from illumination time-series image information is a method of calculating a geometric mean value for each time period. Further, examples include a method of clustering illumination time-series image information and a method of performing estimation using a neural network. In the case of a clustering method or a method of estimation using a neural network, it is also possible to use lighting installation space information and/or lighting user information. Furthermore, it is also possible to recursively utilize the sensory evaluation information collected in step S407, which will be described later, to implement a method of calculating a geometric mean value, a method of clustering, and a method of performing estimation using a neural network.

Furthermore, the lighting control device 200 proposes the calculated lighting time-series pattern information to users who use the lighting installation space where the lighting device 400 is installed. The lighting control device 200 uses the selected lighting time-series pattern information as introduction time-series pattern information, and controls the lighting device 400 according to the introduction time-series pattern information.

In step S404, the lighting control device 200 collects information regarding the lighting installation space in which the lighting device 400 is installed, and associates the collected information. The lighting control device 200 inputs usage lighting installation space information, usage lighting user information, and usage lighting time-series image information. The lighting installation space information and/or the lighting user information may not be input to the lighting control device 200 in some cases. Note that the lighting usage installation space information, usage lighting user information, and usage lighting time-series image information have already been described in detail, so they will not be described in detail here to avoid duplication of explanation.

In step S405, the lighting control device 200 calculates usage time-series pattern information based on the lighting time-series image information and the usage lighting time-series image information. In this case, the lighting control device 200 calculates usage time-series pattern information based on at least a part of the lighting installation space information, lighting user information, usage lighting installation space information, and/or usage lighting user information. is also possible. For example, the lighting control device 200 may extract lighting time-series image information and usage-lighting time-series image information from information common to lighting installation space information and used lighting installation space information, and calculate usage time-series pattern information. It is possible. Further, for example, the lighting control device 200 extracts lighting time-series image information and usage-lighting time-series image information from information common to the lighting user information and usage lighting user information, and calculates usage time-series pattern information. It is also possible.

Furthermore, the lighting control device 200 proposes the calculated usage lighting time series pattern information to the user who uses the lighting installation space where the lighting device 400 is installed. The lighting control device 200 uses the selected usage time series pattern information as usage time series pattern information, and controls the lighting device 400 according to the usage time series pattern information.

In step S406, the lighting control device 200 determines whether adjustment is necessary to the introduction time-series pattern information or the usage time-series pattern information introduced in the lighting installation space where the lighting device 400 is installed. The determination may be made by a user who uses the lighting installation space in which the lighting device 400 is installed. The determined result becomes information input to the lighting control device 200. If it is determined that adjustment is necessary (step S406: YES), the lighting control device 200 proceeds to step S407. If it is determined that adjustment is not necessary (step S406: NO), the lighting control device 200 ends the process.

In step S407, the lighting control device 200 collects sensory evaluation information of users who have experienced the lighting control introduced in the lighting installation space where the lighting device 400 is installed. Sensory evaluation information can be conducted in the form of a questionnaire for users who have experienced lighting control. Questionnaire items before and after experiencing lighting control include common items and non-common items.

In step S408, the lighting control device 200 modifies the introduction time series pattern information or the usage time series pattern information based on the sensory evaluation information, and calculates the sensory time series pattern information. Furthermore, the lighting control device 200 proposes the calculated sensory time-series pattern information to users who use the lighting installation space where the lighting device 400 is installed. The lighting control device 200 uses the selected sensory time-series pattern information as the sensory time-series pattern information to be used, and controls the lighting device 400 according to the sensory time-series pattern information to be used.

In step S409, the lighting control device 200 determines whether readjustment is necessary for the usage sensory time series pattern information introduced in the lighting installation space where the lighting device 400 is installed. The determination may be made by a user who uses the lighting installation space in which the lighting device 400 is installed. The determined result becomes information input to the lighting control device 200. If it is determined that readjustment is necessary (step S409: YES), the lighting control device 200 proceeds to step S407 and repeats the process. If it is determined that adjustment is not necessary (step S409: NO), the lighting control device 200 ends the process.
Although the introduction time series pattern information is introduced into a lighting installation space where the lighting device 400 is installed, the introduction time series pattern information is introduced into a lighting installation space where the lighting device 400 is not installed. It is also possible. Sensory evaluation information of an individual who experienced the brightness level and color temperature level controlled by the illumination based on the introduced time-series pattern information can also be stored in the initial storage unit 300a as initial data. In such a case, the sensory evaluation information may be expressed as a time-series pattern, and the lighting time-series pattern information is the sensory evaluation information and the lighting of an individual who has not experienced the introduced time-series pattern information. It is also possible to perform calculations based on time-series image information. That is, in step S403, illumination time-series pattern information may be calculated based on the sensory evaluation information and the illumination time-series image information. Further, in the above case, the introduction time series pattern information may be selected by a user who uses a lighting installation space where the lighting device 400 is not installed.

As explained above, by experiencing, evaluating, and adjusting the lighting control of dimming and color toning, it is possible to derive appropriate lighting control in the lighting installation space where the lighting device 400 is installed. Become. In addition, when performing adjustment tuning, the sensory evaluation information is used, and the sensory time series pattern information to be used for actual lighting control is selected from the sensory time series pattern information calculated by calculating the difference with the image information before the experience, and the adjustment is made. Implement. Therefore, it is possible to provide a lighting space that is psychologically comfortable for the user and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

Below, the method of presenting the lighting control plan of this embodiment and the features of the lighting control device will be described.

(1) A method is disclosed in which a lighting control device 200 that controls the lighting device 400 presents a lighting control plan to a user who uses a lighting installation space in which the lighting device 400 is installed.

A method for presenting a lighting control plan includes the following steps.
(i) The first step is to obtain lighting time-series image information from a plurality of individuals of the individual's preferred brightness level and color temperature level of lighting for a lighting installation space different from the lighting installation space in which the lighting device 400 is installed. This is the step to obtain. The preferred brightness level and color temperature level are images based on the individual's subjective experience before experiencing the lighting in different lighting installation spaces. It is also an image of periodic temporal changes in different lighting installation spaces for each predetermined time period.
(ii) The second step is a step of storing the plurality of acquired illumination time-series image information in the initial storage unit 300a.
(iii) The third step is to obtain lighting time-series pattern information in which brightness levels and color temperature levels representative of preferred brightness levels and color temperature levels for each time period of the plurality of lighting time-series image information have been calculated. This is a calculation step.
(iv) The fourth step is a step of proposing the lighting time-series pattern information as a lighting control plan.

According to the present disclosure, it is possible to provide a lighting space that is comfortable for the user from a psychological standpoint, and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

(2) The lighting time-series pattern information is information calculated so that the preferred brightness level and color temperature level for each time period of multiple lighting time-series image information is maximized among multiple individuals. is preferred.

According to the present disclosure, it is possible to estimate lighting control that maximizes psychological favorability throughout the office. Calculation methods can also be calculated using AI, including a method that calculates the geometric mean value of the preferred brightness level and color temperature level for each time period, a method that uses clustering, and a method that uses neural networks. It is.

(3) In the initial storage unit 300a, the brightness level and color temperature level that are controlled by the introduction time-series pattern information introduced in a lighting installation space different from the lighting installation space in which the lighting device 400 is installed are stored. Personal sensory evaluation information is stored.
In the step of calculating the lighting time series pattern information, the lighting time series pattern information is preferably calculated based on sensory evaluation information and lighting time series image information of an individual who has not experienced the introduction time series pattern information. .

According to the present disclosure, if there is sensory evaluation information of an individual who has experienced lighting control, it becomes possible to feed back the sensory evaluation information. Therefore, it is possible to provide an illumination space that is psychologically comfortable for the user and to improve the accuracy of illumination time-series pattern information that improves the user's satisfaction with the space.

(4) In the first step, the color temperature level is preferably selected based on an image diagram based on natural light and artificial light sources that shows warm colors and cool colors in stages or continuously.

According to the present disclosure, it is possible to accurately extract the color temperature level in illumination time-series image information from the psychological aspect of the user.

(5) (v) The fifth step is a step of acquiring lighting installation space information of different lighting installation spaces and/or lighting user information of users of the different lighting installation spaces.
The lighting time-series pattern information is classified into patterns by associating the preferred brightness level and color temperature level for each time zone of the plurality of lighting time-series image information with lighting installation space information and/or lighting user information. is preferred.

According to the present disclosure, it is possible to expand the options of lighting control patterns for users who use a lighting installation space, and it is possible to improve the user's psychological satisfaction level.

(6)(vi) The sixth step is a step in which there is a plurality of lighting time-series pattern information as the proposed lighting control plan. A step of selecting introduction time-series pattern information, which is lighting time-series pattern information actually introduced into the lighting installation space, from the plurality of lighting time-series pattern information based on attribute information of a user who uses the lighting installation space. It is.

According to the present disclosure, it is possible to select a lighting control pattern that improves the satisfaction of users who use the lighting installation space in which the lighting device 400 is installed as the introduction time-series pattern information to be actually introduced. become.

(7) (vii) The seventh step is to acquire the individual's preferred brightness level and color temperature level of the lighting for the lighting installation space in which the lighting device 400 is installed from a plurality of individuals as used lighting time-series image information. It is a step. The used lighting time-series image information is an image of the preferred brightness level and color temperature level based on the subjective experience of an individual before experiencing the lighting in the lighting installation space. Further, the used lighting time-series image information is also an image of periodic temporal changes in the lighting installation space for each predetermined time period.
(viii) The eighth step is a step in which the lighting time-series pattern information to be used is calculated based on the lighting time-series image information and the lighting time-series image information to be used.
Preferably, in the fourth step, the lighting time-series pattern information to be used is proposed as a lighting control plan instead of the lighting time-series pattern information.

According to the present disclosure, by presenting a lighting control pattern including an image based on the subjectivity of a user who uses a lighting installation space in which the lighting device 400 is installed, lighting that improves user satisfaction is provided. It becomes possible to present control patterns.

(8)(ix) The ninth step is the usage lighting installation space information indicating the installation space information of the lighting installation space in which the lighting device 400 is installed and/or the usage lighting indicating the user information of the user of the lighting installation space. This is a step of acquiring user information.
(x) The tenth step is a step in which lighting time-series image information related to usage lighting installation space information and/or usage lighting user information is extracted from the lighting time-series image information.

According to the present disclosure, a lighting control pattern is presented including information on a lighting installation space in which the lighting device 400 is installed and lighting time-series image information based on attribute information of a user who uses the lighting installation space. This makes it possible to present lighting control patterns that improve user satisfaction.

(9)(xi) The eleventh step is a step in which there is a plurality of lighting time-series pattern information to be used as the proposed lighting control plan. Further, a step of selecting usage time-series pattern information that is usage lighting time-series pattern information to be actually introduced from the plurality of usage lighting time-series pattern information based on attribute information of a user who uses the lighting installation space. It is.

According to the present disclosure, it is possible to select a lighting control pattern that improves the satisfaction of users who use the lighting installation space in which the lighting device 400 is installed as usage time-series pattern information to be actually introduced. become.

(10) (xii) The twelfth step is a step in which sensory evaluation information of individuals who experience the brightness level and color temperature level controlled by the lighting based on the usage time-series pattern information introduced in the lighting installation space is obtained. be.
(xiii) The thirteenth step is a step in which sensory time-series pattern information is calculated by adjusting the used illumination time-series pattern information based on the sensory evaluation information.
(xiv) The fourteenth step is a step of proposing the sensory time-series pattern information as a lighting control plan.
(xv) The 15th step is that there is a plurality of proposed sensory time series pattern information, and the usage is actually introduced from the plurality of sensory time series pattern information based on the attribute information of the user who uses the lighting installation space. This is a step in which sensory time series pattern information is selected.

According to the present disclosure, a user who uses a lighting installation space in which the lighting device 400 is installed experiences a lighting control pattern desired by the user before experiencing lighting control, and based on the experience, creates a new lighting control pattern. Calculate the control pattern. Therefore, it becomes possible to quickly provide a lighting control pattern that is highly acceptable to the user. That is, it is possible to provide a lighting space that is comfortable for the user from a psychological standpoint, and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

(11) (xvi) The 16th step is to create a new image of the individual who has experienced the brightness level and color temperature level controlled by the use sensory time series pattern information introduced in the lighting installation space where the lighting device 400 is installed. In this step, sensory evaluation information is acquired. This is also a step in which new sensory time-series pattern information is calculated by adjusting the used sensory time-series pattern information based on the new sensory evaluation information.
(xvii) The seventeenth step is a step of proposing new sensory time-series pattern information as a lighting control plan.

According to the present disclosure, the user who uses the lighting installation space in which the lighting device 400 is installed further experiences the lighting control pattern based on the bodily sensation, and calculates a new lighting control pattern again based on the bodily sensation. Therefore, it becomes possible to accurately and quickly provide a lighting control pattern that is more convincing to the user. That is, it is possible to provide dimming control and color toning control that can accurately provide an illumination space that is comfortable for the user from a psychological standpoint, and can accurately improve the user's satisfaction with the space.

(12) (xvii) In the 17th step, the sensory evaluation information includes information that describes the evaluation of changes in brightness level and color temperature level in text, and the information described in text is related to the sensory time series pattern information. This is a step in which information about the sensory evaluation is extracted as the sensory evaluation information.

According to the present disclosure, it becomes possible to extract information related to sensory time-series pattern information from a free description field, so that a lighting control pattern that improves user satisfaction from a psychological aspect is presented with higher accuracy. It becomes possible to do so.

(13) It is preferable that the lighting time-series image information, the usage lighting time-series image information, and the sensory evaluation information include environmental information including at least one of season, weather, holidays, and weekdays. It is preferable that the lighting time-series pattern information, the usage lighting time-series pattern information, and the sensory time-series pattern information be clustered based on the environmental information.

According to the present disclosure, it becomes possible to calculate lighting time-series pattern information, used lighting time-series pattern information, and sensory time-series pattern information based on environmental information. Therefore, it becomes possible to present a lighting control pattern with higher accuracy and improved psychological satisfaction to the user.

(14) It is preferable that the user attribute information includes the user information of the lighting in use or the psychological state of the user of the lighting that is newly input.

According to the present disclosure, it is possible to present a lighting control pattern with higher accuracy and improved psychological satisfaction to the user.

(15) The periodic temporal change is preferably a daily temporal change in the lighting installation space or in different lighting installation spaces.

According to the present disclosure, it is possible to estimate lighting control that maximizes psychological favorability throughout the office in small time units.

(16) The sensory evaluation information preferably includes evaluations for positive questions regarding changes in brightness level and color temperature level, and evaluations for negative questions regarding changes in brightness level and color temperature level. . It is preferable that the sensory time-series pattern information is calculated so as to maximize positive evaluations by users who use the lighting installation space.

According to the present disclosure, it is possible to estimate lighting control that maximizes psychological favorability throughout the office.

(17) The lighting control device 200 that presents a lighting control plan for controlling the lighting device 400 to a user who uses the lighting installation space in which the lighting device 400 is installed has the following configuration.
(i) A pattern for acquiring illumination time-series image information obtained from a plurality of individuals of the individual's preferred brightness level and color temperature level of illumination for a illumination installation space different from the illumination installation space in which the illumination device 400 is installed. It is preferable that the calculation unit 202 is included. Preferably, the preferred brightness level and color temperature level are images based on the individual's subjective experience before experiencing the lighting in different lighting installation spaces. Preferably, the desired brightness level and color temperature level are also images of periodic temporal changes in different lighting installation spaces for each predetermined time period. It is preferable that the illumination time series image information is stored in the initial storage unit 300a. Preferably, the pattern calculation unit calculates brightness levels and color temperature levels representative of preferred brightness levels and color temperature levels for each time period of the plurality of illumination time-series image information as the illumination time-series pattern information.
(ii) It is preferable to include a pattern proposal unit 203 that proposes lighting time-series pattern information as a lighting control plan.

According to the present disclosure, it is possible to provide a lighting space that is comfortable for the user from a psychological standpoint, and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

(18) The initial storage unit 300a stores sensory evaluation information of individuals who have experienced the brightness level and color temperature level controlled by lighting based on introduced time-series pattern information indicating lighting time-series pattern information introduced in different lighting installation spaces. is preferably stored.
It is preferable that the pattern calculation unit 202 calculates the illumination time-series pattern information based on the sensory evaluation information and the illumination time-series image information of an individual who has not experienced the introduction time-series pattern information.

According to the present disclosure, if there is sensory evaluation information of an individual who has experienced lighting control, it becomes possible to feed back the sensory evaluation information. Therefore, it is possible to provide an illumination space that is psychologically comfortable for the user and to improve the accuracy of illumination time-series pattern information that improves the user's satisfaction with the space.

(19) It is preferable that the initial storage unit 300a stores lighting installation space information of different lighting installation spaces and/or lighting user information of users of different lighting installation spaces.
The lighting time-series pattern information is classified into patterns by associating the preferred brightness level and color temperature level for each time zone of the plurality of lighting time-series image information with lighting installation space information and/or lighting user information. is preferred.

According to the present disclosure, it is possible to expand the options of lighting control patterns for users who use a lighting installation space, and it is possible to improve the user's psychological satisfaction level.

(20) The pattern calculation unit 202 calculates the lighting time-series image information based on the lighting time-series image information and the lighting time-series image information obtained from a plurality of individuals, including the individual's preferred brightness level and color temperature level of the lighting for the lighting installation space. , calculate the used illumination time series pattern information. The preferred brightness level and color temperature level are subjective images of the individual before experiencing the lighting in the lighting installation space. Further, the desired brightness level and color temperature level are also images of periodic temporal changes in the lighting installation space for each predetermined time period.
It is preferable that the pattern proposal unit 203 proposes the usage lighting time-series pattern information as the lighting control plan instead of the lighting time-series pattern information.

According to the present disclosure, by presenting a lighting control pattern including an image based on the subjectivity of a user who uses a lighting installation space in which the lighting device 400 is installed, lighting that improves user satisfaction is provided. It becomes possible to present control patterns.

(21) The lighting time-series image information calculated by the pattern calculation unit 202 includes used lighting installation space information indicating the installation space information of the lighting installation space and/or used lighting usage information indicating the user information of the user of the lighting installation space. This is lighting time-series image information related to user information.

According to the present disclosure, a lighting control pattern is presented including information on a lighting installation space in which the lighting device 400 is installed and lighting time-series image information based on attribute information of a user who uses the lighting installation space. This makes it possible to present lighting control patterns that improve user satisfaction.

(22) The pattern calculation unit 202 generates a sensory time series in which the usage time series pattern information is adjusted based on the sensory evaluation information of an individual who has experienced the brightness level and color temperature level controlled by the usage time series pattern information. Preferably, pattern information is calculated.
It is preferable that the pattern proposal unit 203 proposes the sensory time-series pattern information as a lighting control plan.

According to the present disclosure, a user who uses a lighting installation space in which the lighting device 400 is installed experiences a lighting control pattern desired by the user before experiencing lighting control, and based on the experience, creates a new lighting control pattern. Calculate the control pattern. Therefore, it becomes possible to quickly provide a lighting control pattern that is highly acceptable to the user. That is, it is possible to provide a lighting space that is comfortable for the user from a psychological standpoint, and to provide dimming control and color toning control that can improve the user's satisfaction with the space.

(23) The pattern calculation unit 202 calculates new sensory time-series pattern information by adjusting the sensory time-series pattern information used, based on new sensory evaluation information of the individual who has experienced lighting control based on the sensory time-series pattern information used. It is preferable to do so.
It is preferable that the pattern proposal unit 203 proposes new sensory time-series pattern information as a lighting control plan.

According to the present disclosure, the user who uses the lighting installation space in which the lighting device 400 is installed further experiences the lighting control pattern based on the bodily sensation, and calculates a new lighting control pattern again based on the bodily sensation. Therefore, it becomes possible to accurately and quickly provide a lighting control pattern that is more convincing to the user. That is, it is possible to provide dimming control and color toning control that can accurately provide an illumination space that is comfortable for the user from a psychological standpoint, and can accurately improve the user's satisfaction with the space.

Although this embodiment has been described above, this embodiment is not limited to these, and various modifications can be made within the scope of the gist of this embodiment. It is also possible to combine some or all of the various embodiments to create a new embodiment.

100 Initial data generation device 101 Association unit 200 Lighting control device 201 Usage association unit 202 Pattern calculation unit 203 Pattern proposal unit 204 Pattern selection unit 205 Lighting control unit 300a Initial storage unit 300b Usage storage unit 300c Sensory storage unit 400 Lighting device

Claims (23)

A method for presenting a lighting control plan to a user using a lighting installation space in which a lighting device is installed, using a lighting control device that controls the lighting device, the method comprising:
obtaining from a plurality of individuals lighting time-series image information indicating the individual's preferred brightness level and color temperature level of lighting for a lighting installation space different from the lighting installation space, wherein the individual The method of acquiring the lighting time-series image information, which is an image based on the subjectivity before experiencing the lighting in the space, and is also an image for each predetermined time period of periodic time changes in the different lighting installation spaces. step and
storing the plurality of acquired illumination time-series image information in a storage unit;
calculating lighting time-series pattern information in which preferred brightness levels and color temperature levels for each time period of the plurality of lighting time-series image information are averaged ;
A method for presenting a lighting control plan, comprising the step of proposing the lighting time-series pattern information as a lighting control plan. The lighting time-series pattern information is configured such that the preferred brightness level and color temperature level for each time period of the plurality of lighting time-series image information are maximized in the lighting installation space used by a plurality of individuals. The method for presenting a lighting control plan according to claim 1, wherein the lighting control plan is calculated information. In the storage unit, the user can experience a brightness level and a color temperature level that are controlled by lighting by introducing introduction time-series pattern information selected from the lighting time-series pattern information into a lighting installation space different from the lighting installation space. The sensory evaluation information of the individual is memorized,
In the step of calculating the lighting time-series pattern information, the lighting time-series pattern information is calculated based on the sensory evaluation information and lighting time-series image information of an individual who has not experienced the introduction time-series pattern information. A method for presenting a lighting control plan according to claim 1 or 2. 4. The color temperature level in the obtaining step is selected based on an image diagram based on natural light and artificial light sources that shows warm colors and cool colors stepwise or continuously. How to present a lighting control plan as described. further comprising the step of acquiring lighting installation space information of the different lighting installation spaces and/or lighting user information of users of the different lighting installation spaces,
The lighting time-series pattern information is such that the preferred brightness level and color temperature level for each time period of the plurality of lighting time-series image information are associated with the lighting installation space information and/or the lighting user information. A method for presenting a lighting control plan according to any one of claims 1 to 4, wherein the lighting control plan is classified into patterns. There is a plurality of lighting time-series pattern information as the proposed lighting control plan, and based on the attribute information of the user who uses the lighting installation space, the lighting control plan is based on the plurality of lighting time-series pattern information. 6. A method for presenting a lighting control plan according to any one of claims 1 to 5, comprising the step of selecting introduction time-series pattern information to be introduced. a step of acquiring, from a plurality of individuals, used lighting time-series image information indicating the individual's preferred brightness level and color temperature level of lighting for the lighting installation space, the individual experiencing the lighting in the lighting installation space; the step of acquiring the used lighting time-series image information, which is an image based on the subjectivity before the lighting is installed, and is also an image for each predetermined time period of periodic temporal changes in the lighting installation space;
further comprising the step of calculating usage lighting time-series pattern information based on the lighting time-series image information and the usage lighting time-series image information,
7. The method for presenting a lighting control plan according to claim 1, wherein the step of proposing proposes the used lighting time-series pattern information as a lighting control plan instead of the lighting time-series pattern information. acquiring used lighting installation space information indicating installation space information of the lighting installation space and/or used lighting user information indicating user information of a user of the lighting installation space;
The lighting control according to claim 7, further comprising: extracting the lighting time-series image information related to the lighting installation space information and/or the lighting user information from the lighting time-series image information. How to present your plan. There is a plurality of pieces of lighting time-series pattern information that are used as the proposed lighting control plan, and based on the attribute information of the users who use the lighting installation space, the lighting control plan is actually introduced from the plural pieces of lighting time-series pattern information. The method for presenting a lighting control plan according to claim 7 or 8, comprising the step of selecting usage time-series pattern information that is usage lighting time-series pattern information. acquiring sensory evaluation information of an individual who experienced the brightness level and color temperature level controlled by the lighting based on the use time-series pattern information introduced in the lighting installation space;
calculating sensory time-series pattern information obtained by adjusting the usage illumination time-series pattern information based on the sensory evaluation information;
proposing the sensory time-series pattern information as a lighting control plan;
There is a plurality of proposed sensory time series pattern information, and the sensory time series pattern information to be actually introduced from the plurality of sensory time series pattern information is based on the attribute information of the user who uses the lighting installation space. 10. The method of presenting a lighting control plan according to claim 9, comprising the step of selecting. acquiring new sensory evaluation information of an individual who experienced the brightness level and color temperature level controlled by the lighting using the sensory time-series pattern information introduced in the lighting installation space;
calculating new sensory time series pattern information by adjusting the used sensory time series pattern information based on the new sensory evaluation information;
The method for presenting a lighting control plan according to claim 10, further comprising the step of proposing the new sensory time-series pattern information as a lighting control plan. The sensory evaluation information includes information that describes the evaluation of changes in brightness level and color temperature level in text, and from the information described in the text, information related to the sensory time series pattern information is included as the sensory evaluation information. The method of presenting a lighting control plan according to claim 10 or 11, further comprising the step of extracting. The lighting time-series image information, the usage lighting time-series image information, and the sensory evaluation information include environmental information including at least one of season, weather, holidays, and weekdays,
The method for presenting a lighting control plan according to any one of claims 1 to 12, wherein the lighting time series pattern information, the usage lighting time series pattern information, and the sensory time series pattern information are clustered according to the environmental information. The lighting control plan according to any one of claims 6, 9 and 10, wherein the user attribute information includes user information of the lighting in use or the psychological status of the lighting user that is newly input. How to present. The method for presenting a lighting control plan according to any one of claims 1 to 14, wherein the periodic temporal change is a daily temporal change in the lighting installation space or in the different lighting installation spaces. The sensory evaluation information includes positive evaluations in response to questions regarding changes in brightness level and color temperature level, and negative evaluations in response to questions regarding changes in brightness level and color temperature level. 13. The method for presenting a lighting control plan according to claim 10, wherein the pattern information is calculated so as to positively maximize evaluations by users who use the lighting installation space. A lighting control device that presents a lighting control plan for controlling a lighting device to a user who uses a lighting installation space in which the lighting device is installed,
Lighting time-series image information obtained from a plurality of individuals of their preferred brightness levels and color temperature levels of lighting for a lighting installation space different from the lighting installation space, the lighting time-series image information being acquired from a plurality of individuals, , a storage unit storing the lighting time-series image information, which is an image based on the subjectivity before experiencing the lighting, and is also an image for each predetermined time period of periodic time changes in the different lighting installation spaces; A pattern in which a plurality of the illumination time-series image information is acquired from the plurality of illumination time-series image information, and illumination time-series pattern information is calculated in which the preferred brightness level and color temperature level for each time period of the plurality of illumination time-series image information are averaged. an arithmetic unit;
A lighting control device comprising: a pattern proposal unit that proposes the lighting time-series pattern information as a lighting control plan. In the storage unit, the user can experience a brightness level and a color temperature level that are controlled by lighting by introducing introduction time-series pattern information selected from the lighting time-series pattern information into a lighting installation space different from the lighting installation space. The sensory evaluation information of the individual is memorized,
The lighting according to claim 17, wherein the pattern calculation unit calculates the lighting time-series pattern information based on the sensory evaluation information and lighting time-series image information of an individual who has not experienced the introduction time-series pattern information. Control device. The storage unit stores lighting installation space information of the different lighting installation spaces and/or lighting user information of users of the different lighting installation spaces,
The lighting time-series pattern information is such that the preferred brightness level and color temperature level for each time period of the plurality of lighting time-series image information are associated with the lighting installation space information and/or the lighting user information. The lighting control device according to claim 17 or 18, which is subjected to pattern classification. The pattern calculation unit is configured to generate used lighting time-series image information obtained by obtaining personal preference brightness levels and color temperature levels of lighting for the lighting installation space from a plurality of individuals; , the used lighting time series image information, which is an image based on the subjectivity before experiencing the lighting, and is also an image for each predetermined time period of periodic time changes in the lighting installation space; and the lighting time series. Based on the image information, calculate the time-series pattern information of the lighting used,
The lighting control device according to any one of claims 17 to 19, wherein the pattern proposal unit proposes the usage lighting time-series pattern information as a lighting control plan instead of the lighting time-series pattern information. The lighting time-series image information calculated by the pattern calculation unit includes used lighting installation space information indicating installation space information of the lighting installation space and/or usage lighting user information indicating user information of the user of the lighting installation space. The lighting control device according to claim 20, wherein the lighting control device is lighting time-series image information related to the information. The pattern calculation unit is based on sensory evaluation information of an individual who has experienced the brightness level and color temperature level controlled by the usage time series pattern information, which is the usage time series pattern information introduced in the lighting installation space. , calculating sensory time-series pattern information that has adjusted the used illumination time-series pattern information;
The lighting control device according to claim 20 or 21, wherein the pattern proposal unit proposes the sensory time-series pattern information as a lighting control plan. The pattern calculation unit calculates new sensory evaluation information of an individual who has experienced the brightness level and color temperature level controlled by the lighting based on the sensory time series pattern information used, which is the sensory time series pattern information introduced in the lighting installation space. Based on the above, calculate new sensory time series pattern information by adjusting the used sensory time series pattern information,
The lighting control device according to claim 22, wherein the pattern proposal unit proposes the new sensory time-series pattern information as a lighting control plan.