JP2000339354A - Illumination design support system and illumination designing method using the system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an illumination design support system capable of realizing an appropriate illumination state obtained by considering human visual mentality, and to provide an illumination designing method using the system. SOLUTION: This system is provided with a computer graphics device 14 which simulates the illumination state of an object to be illuminated on the basis of data inputted by an input device 11 and a visual mentality quantity display device 15 which displays the quantity of visual mentality when a human being sees simulated computer graphics. In order to perform a lighting design, first, computer graphics for evaluation are prepared, the relation to a matter obtained by quantifying visual mentality quantity when a testee sees the illumination state of the prepared computer graphics is made into a numerical expression, and when a database is further prepared in a data storing part 13. After that, the visual mentality quantity is displayed on the device 15 in such a manner that a person concerned in design inputs data with the device 11.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a lighting design support system for supporting the design of lighting conditions of commercial facilities such as houses and stores, museums, museums, schools, hospitals, and the like, and a lighting design method using the same. It is.

[0002]

2. Description of the Related Art Conventionally, when designing the lighting conditions of a store or the like, for example, base lighting (such as ceiling lighting) is performed based on the illuminance of the entire store, the illuminance of products, and the illuminance of the face of a person such as a salesperson or a customer. The amount of lighting as a base for the entire store, the amount of wall lighting (for example, lighting to create an atmosphere that matches the business type of the store, such as indirect lighting, and the character of the customer), and the amount of important lighting (such as spot lighting) At present, the amount of lighting that enhances the appeal of customers by illuminating important main products and places with high brightness is determined.
In short, when designing the lighting condition of the store, the design is performed with emphasis on the illuminance value. In addition, it is not limited to stores,
At present, when designing lighting conditions for houses, museums, museums, schools, hospitals, and the like, design is made with emphasis on the illuminance value.

[0003]

However, in the above-mentioned conventional design, since the design is performed on the basis of the illuminance, the human visual psychology in the lighting state after the design is not taken into consideration, and the human visual psychology is not considered. There was a problem that an appropriate design was not made in terms of psychology. Further, in the above-described conventional design, it is necessary to set the lighting state while repeating trial and error at an actual store or the like, that is, at the site, and there is a problem that the construction takes time and effort.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a lighting design support system capable of realizing an appropriate lighting state in consideration of human visual psychology and a lighting design method using the same. To provide.

[0005]

According to the first aspect of the present invention, in order to achieve the above object, shape data representing an attribute of a lighting space, lighting data representing an attribute relating to a lighting fixture arranged in the lighting space, and a lighting space. An input device for inputting viewpoint data representing the viewpoint of the computer, a computer graphics device for generating computer graphics that simulates the lighting state of the illumination space based on each of the data input by the input device, and an input device that is input by the input device. Determining a visual psychological quantity obtained for the computer graphics based on each of the data and displaying the visual psychological quantity on a visual psychological quantity display device. Shape data, lighting data representing attributes related to lighting fixtures placed in the lighting space, representing the perspective of the lighting space By inputting the data, the visual psychological amount of the computer graphics relating to the lighting state of the lighting space created based on these data is displayed on the visual psychological amount display device, so that the illuminance can be designed as in the conventional case. Compared to being at the center of the standard,
Since the visual psychological quantity of a human can be considered in the design criteria, and the lighting design can be performed in consideration of the visual psychology of a human, it is possible to realize a more appropriate lighting state than before.

According to a second aspect of the present invention, there is provided an input device for inputting shape data representing an attribute of an illumination space, viewpoint data representing a viewpoint of an illumination space, and visual psychological quantity data, and based on each of the data input by the input device. A computer graphics device that generates computer graphics simulating the lighting state of the lighting space, and an illumination data display device that obtains illumination data corresponding to the computer graphics based on the data input by the input device. It is characterized by having a judgment device to display, even if there is no detailed lighting data,
By inputting shape data representing the attributes of the lighting space, perspective data representing the perspective of the lighting space, and visual psychological data, it is possible to simulate the lighting state of the lighting space that matches the visual psychological data, Since the lighting data that matches the data is displayed on the lighting data display device, it is possible to perform a lighting design in consideration of the amount of human visual psychology, and it is possible to realize a more appropriate lighting state than before, It is possible to reduce the time spent for setting the illumination state while repeating trial and error in the field as in the related art.

[0007] The third aspect of the present invention is the first or second aspect.
In the invention of the present invention, a neural network that inputs a visual psychological quantity obtained by applying the SD method to a computer graphic simulated by a computer graphics device as a teacher signal and receives the above-mentioned illumination data, and learning of the neural network Means for setting a mathematical expression representing a relationship between the illumination data and the visual psychological quantity using the obtained weight and the illumination data.

[0008] The invention of claim 4 is claim 1 or claim 2.
In the invention of the above, computer graphics, shape data representing the attributes of the lighting space, lighting data representing the attributes of the lighting fixtures arranged in the lighting space, viewpoint data representing the viewpoint of the lighting space, visual sense obtained for the computer graphics It is characterized by having a database in which a set of psychological quantity data is made into a database.

According to a fifth aspect of the present invention, in the first aspect of the present invention, the computer graphics, the shape data representing the attribute of the lighting space, the lighting data representing the attribute relating to the lighting equipment arranged in the lighting space, and the viewpoint of the lighting space are used. A database in which the viewpoint data to be represented and the visual psychological amount data obtained for the computer graphics are set as a set is provided, and the determination device converts the shape data, the illumination data, and the viewpoint data input by an input device. The degree of coincidence with one set of data stored in the database as one set is determined, and the visual psychological quantity data of the one set of data having a high degree of coincidence in the database is displayed on the visual psychological quantity display device.

According to a sixth aspect of the present invention, in the second aspect of the present invention, the shape data representing the attribute of the lighting space, the lighting data representing the attribute of the lighting fixture arranged in the lighting space, the viewpoint data representing the viewpoint of the lighting space, A database is provided in which a set of visual psychological data obtained for computer graphics is provided as a set, and the determination device includes one set of the shape data, the viewpoint data, and the visual psychological data input by an input device. It is characterized in that the degree of coincidence with one set of data stored in the database is determined, and the illumination data in the one set of data having a high degree of coincidence in the database is displayed on the illumination data display device.

According to a seventh aspect of the present invention, in the first aspect of the invention, the shape data, the illumination data,
In allowing the viewpoint data to be input, the shape data is selected from a plurality of options, the illumination data is partially input by a numerical value and the rest is selected from a plurality of options, and the viewpoint data is partially selected from a plurality of options. Since the selection is made, the above-mentioned data can be selected from a plurality of options, so that the variation in the design due to the skill of the person in charge of the design can be reduced.

According to an eighth aspect of the present invention, in the second aspect of the invention, the shape data, the viewpoint data,
In inputting the visual psychological data, the shape data is selected from a plurality of options, the viewpoint data is partially selected from a plurality of options, and the visual psychological data is numerically input for a plurality of adjectives. Therefore, by allowing a part of the shape data and a part of the viewpoint data to be selected from a plurality of options, it is possible to reduce a variation in the design due to the skill of the person in charge of design.

According to a ninth aspect of the present invention, in the first aspect of the invention, the computer graphics device includes an image display device that displays computer graphics and also functions as a visual psychological quantity display device, and the determination device includes a simulated computer. The graphics and the visual psychological quantity obtained for the computer graphics are displayed on the same screen on the image display device.

According to a tenth aspect of the present invention, in the second aspect, the computer graphics device includes an image display device that displays the computer graphics and also serves as an illumination data display device, and the determination device includes a simulated computer graphics device. And the illumination data corresponding to the computer graphics are displayed on the same screen in the image display device.

According to an eleventh aspect of the present invention, there is provided a lighting design method using the lighting design support system according to the first or second aspect, wherein a plurality of computer graphics simulated by a computer graphics device are subjected to SD. A neural network that inputs the lighting data using the visual psychological quantity obtained by applying the SD method as a teacher signal, and uses the weight obtained by the learning and the lighting data to perform learning. It is characterized by formulating the relationship between lighting data and visual psychological quantity, and it is possible to consider human visual psychological quantity in the design criteria, and it is possible to design lighting considering human visual psychological quantity Becomes

[0016]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS (Embodiment 1) As shown in FIG. 1, a lighting design support system according to the present embodiment includes shape data representing attributes of a lighting space (hereinafter, referred to as shape data of an illuminated object), Lighting data (hereinafter, referred to as illumination data for illuminating an object to be illuminated) representing an attribute of a lighting apparatus arranged in the illumination space, and viewpoint data representing a viewpoint of the illumination space (hereinafter, referred to as viewpoint data for seeing the illuminated object) And a computer graphic obtained by simulating an illumination state of an illumination space (hereinafter, referred to as an illumination state of an object to be illuminated) based on the input device 11 for inputting information and the like and the data input by the input device 11. A computer graphics device 14 for displaying an image, and an amount of visual psychology when a person views the simulated computer graphics (hereinafter, visual psychology). And a visual psychological display device 15 for displaying the called).

Further, the lighting design support system of the present embodiment is a database in which simulated computer graphics image data, lighting data, shape data, perspective data, and visual psychological data are formed as a set of data. For example, refer to FIG. 11), determine the degree of coincidence between one set of data input by the input device 11 and one set of data in the database, and determine one set of the highest degree of coincidence. A determination device for displaying computer graphics based on the image data of the data on the computer graphics device and displaying the visual psychological amount when the human observes the computer graphics on the visual psychological amount display device 15; I have.

Here, in order to design a lighting using the lighting design support system of the present embodiment, first, computer graphics for evaluation are created, and the subject observes the lighting state of the created computer graphics for evaluation. After the relationship between the subject and the quantified visual psychological quantity of the subject is converted into a mathematical formula, the database is created in the data storage unit 13. Thereafter, the person in charge of design inputs the shape data of the object to be illuminated, the illumination data for illuminating the object to be illuminated, the viewpoint data for viewing the object to be illuminated, and the like with the input device 11 in accordance with the use of the design. The display device 15 displays the visual psychological quantity.

Here, the flow for creating computer graphics for evaluation and formulating it will be described with reference to FIG.

First, data such as the type and shape of an object to be illuminated (illumination space) to be evaluated and illumination data are determined as data for creating computer graphics for evaluation (S31). In this case, the data of the type of the illuminated object includes (decides) the type of a space (a space in which the system is designed using the system), such as a store space or a living space, where the system is actually used. As the data of the shape of the lighting object, the shape of the lighting space (the shape of the space where the design is performed using the system) such as the space of a cylinder and the space of a cube, which will be used when actually using the system, is given (determined). Then, the lighting data which is frequently used in the space actually designed using the system is determined as the lighting data. Illumination data includes data such as the number of lamps of the light source, the light distribution of the light source, the arrangement of the light source, the luminous intensity, the irradiation angle, the shape of the device (the type of light source), and the like. Data for creating computer graphics for evaluation is input by the input device 11.

Next, based on the data determined in S31, computer graphics for evaluation as shown in FIG. 3, for example, is shown in FIG. 3 using general-purpose rendering software (FIG. 3 is a schematic diagram of computer graphics). Is created (S32). The creation of the computer graphics for evaluation is performed by the computer graphics device 14. Here, FIG. 3 illustrates computer graphics (for example, furniture and fixtures in a store) created by determining an object to be illuminated (illumination space) as a store and determining the type, number of lights, arrangement, luminous intensity, and irradiation angle of the light source. (E.g., a plan view showing the arrangement of light sources, a front view, or a view of the front of the store from the back), which is used to create a more realistic image. It is a schematic diagram of an example of computer graphics, and the shadow of the furniture 4 etc. appear in the actual image. In FIG. 3, 1 indicates a ceiling, 2 indicates a floor, and 3 indicates a light source.

Thereafter, the computer graphics for evaluation created in S32 is subjected to the SD method (sematic differe
ntial method) to quantify the subject's impression evaluation on the computer graphics for evaluation (S3)
3). In the present embodiment, a plurality of sheets (for example, 15
After applying the SD method to each of the computer graphics for evaluation, the subject was evaluated with an adjective pair (for example, a pair of “bright” and “dark”) as shown in FIG. Perform factor analysis based on Examples of the result of the factor analysis are shown in FIGS. Here, FIG. 5 shows the result when two factors (the first factor and the second factor) are extracted, and “incentive” and “sophistication” in FIG. 5 are shown.
Numerical values described in the columns of "first factor" and "second factor" on the right side of "" indicate the factor loading. As is well known, the factor loading is represented by a numerical value between −1 and 1, and it is considered that the larger the absolute value is, the higher the influence on the factor is. (The hatching in FIG. 5 indicates the factor loading. The absolute value is 0.6 or more). The “contribution rate” in FIG. 5 indicates the ratio of the variation explained by each of the first factor and the second factor in the total variation in the data. In the example of FIG. 5, the first factor is about 50. A 9% variation can be expressed, a second factor can represent approximately 14.2% variation, and these two factors can represent approximately 70% variation. FIG. 6 is a diagram in which the factor scores obtained as a result of the factor analysis are plotted. As is well known, the SD method is one of multivariate analysis methods, in which various objects are evaluated using bipolar adjectives as a scale, and the data is subjected to factor analysis to extract dimensions. As is well known, factor analysis is a method of calculating an axis, ie, a factor, which each scale has potentially, using a correlation function between the scales, and extracting a basic dimension (SD method). Is the correlation function in the factor analysis, that is, the degree to which the scale changes are similar to the basic data.)
The present inventors applied the SD method from the viewpoint that the difference in the impression of the subject due to various lighting differences could be expressed by the SD method.

Next, the result of the impression evaluation obtained in S33 and S3
A neural network model is constructed using the neural network for the relationship between the lighting factors determined in step 1 (S34). Here, in order to construct a neural network model, for example, a factor score (numerical value in FIG. 6) obtained by the above-described factor analysis is used as an output layer (teacher signal), and an input layer of a space obtained from computer graphics is used. Corner brightness average, ceiling brightness average, wall brightness average,
The number of lamps, luminous intensity, and irradiation angle of the luminaire are input (that is, input the illumination data), a neural network model as shown in FIG. 7 is constructed and learned, and the weight obtained as a result of the learning is obtained. As is well known, a neural network is a mathematical model of a human neuron (neural cell), and can generate a prediction system that enhances cognitive ability by learning.

Then, the neural network model which is obtained as a result of the step S34 and which is optimal is obtained by using the weight and the illumination data obtained as a result of the above-mentioned learning, as shown in the step S71 of FIG.
The relationship between the illumination data and the amount of visual psychology is expressed by a mathematical formula based on steps S76 to S76. Here, the description of each parameter for formulating is described in FIG. As a result of learning of the neural network, weights Wjk, Wpj and constant terms bj, bp shown in FIG. 8 are determined. The equation in FIG. 8 is an equation for back propagation of the neural network, and the attractiveness and the sophistication are each 1
It is output as a numerical value between ０0. Attraction and sophistication The closer to 1 each, the higher the attraction and refinement, and the closer to 0, the lower the attraction and refinement.

Although FIG. 8 described above uses a result obtained by performing a factor analysis to form a mathematical expression, it was evaluated by the SD method without performing a factor analysis as shown in FIGS. 5 and 6. The resulting data may be learned as it is using a neural network to construct a neural network model as shown in FIG. In this case, a seven-level evaluation value for each adjective (18 adjectives such as "bright", "comfortable", etc.) by a plurality of subjects in each computer graphic for evaluation is calculated for each computer graphic for evaluation. By averaging, evaluation values of each adjective (18 items) are obtained for each evaluation computer graphic. Then, the evaluation value of each adjective is used as an output layer (teacher signal), and the average brightness of corners of a space obtained from computer graphics is input to the input layer.
Enter the average brightness of the ceiling, the average brightness of the walls, the number of lights of the lighting fixture, the luminous intensity, the irradiation angle (that is, input the lighting data)
A neural network model as shown in FIG. 9 is constructed and learned, and the weight obtained as a result of the learning is obtained. After that, the neural network model shown in FIG. 9 may be converted into a mathematical expression in the same manner as in FIG. 8 using the weights and the illumination data obtained as a result of the learning. That is, the relationship between the illumination data and the visual psychological quantity is expressed by a mathematical expression using the weight and the illumination data obtained as a result of the learning. In short, FIG. 7 and FIG. 9 differ only in the output layer depending on the presence or absence of the factor analysis. Here, the neural network and the means for performing the above-mentioned formula conversion are provided in the determination device 12. The following description of the present embodiment is for the case where the neural network model shown in FIG.

Next, a method of creating a database will be described with reference to FIG.

First, shape data and illumination data of an object to be illuminated (illuminated space) for a database are determined (S4).
1). At this time, a combination of the actually used illumination object and the illumination data is used as a determination criterion. Here, the setting of the object to be illuminated (illumination space) includes, for example, a living room space,
There are settings for the type of illuminated space such as a store space, the shape of the illuminated space, and the like (in addition, there are furniture and the like belonging to the illuminated space). Also, as the setting of the lighting data,
The position of the light source that illuminates the illumination target (illumination space), the number of light sources, the shape of the light source, the color of the light source, the light distribution of the light source, the light flux of the light source,
For example, there is a color temperature of a light source.

Next, computer graphics for a database is created based on the shape data and illumination data of the illuminated object determined in S41 (S42).

Thereafter, using the mathematical formulas created in the same manner as in FIG. 8 described above, visualization of each adjective with respect to the computer graphics for database created based on the shape data of the illuminated object and the lighting data determined in S41. The psychological quantity is calculated (S43). The visual psychological quantity obtained here is a value of 1 to 0, and is converted into a numerical value of 7 levels of 1 to 7.

Next, viewpoint data for viewing the illuminated object is calculated from the computer graphics created in S42 (S44). View data is the distance between the illuminated object and the viewpoint,
The information includes an angle, luminance information of each part of the illuminated object, a luminance information ratio between the parts, and the like. Note that these viewpoint data can be obtained by extracting data held (held) in the rendering software.

After that, the data of the four items S41 to S44 is set as one set and is compiled into a database for easy retrieval (S45). Therefore, one set of data in the database includes, as shown in FIG.
It is composed of lighting data, shape data, viewpoint data, and visual psychological quantity data. Here, the image data is an image of computer graphics created using the above-described rendering software, and the lighting data is a brightness average of a corner of a space, a brightness average of a ceiling, a brightness average of a wall, a lighting fixture light. The shape data is the type of the illuminated space, the shape of the illuminated space, and the viewpoint data for viewing the illuminated object is given by a category. In addition, the visual psychological data includes "bright", "comfortable", "spacious", "
"Gentle", "warm", "fantastic", "luxury", "young", "easy to enter", "hard", "individual", "modern", "clean", "friendly" The evaluation values for each of the 18 adjectives of "having", "with comfort", "sharp and dark", and "preferred" are recorded at seven levels (numerical values of 1 to 7).

Here, the input data of the shape data of the object to be illuminated, the illumination data for illuminating the object to be illuminated, and the viewpoint data for viewing the object to be illuminated by the input device 11 will be described with reference to FIGS. .

The shape data of the object to be illuminated is input in accordance with roughly categorized data. The shape of the space is selected and input from a plurality of categorized options. For example, if the illuminated space is a square space as shown in FIG. 13, category 1; if the illuminated space is a round space, category 2; In this case, category 3 may be selected. The shape data of the illuminated object is used as a type of space, for example, as shown in FIG. 13, category 1 for a house, category 2 for a store, category 3 for a school,..., Amusement space. Is to select category 9; in other cases, category 10 should be selected.

The illumination data is classified into data for inputting numerical values and data for selecting and inputting from a plurality of categorized options. The data to be input numerically include the luminous flux of the light source, the color temperature of the light source, and the like, and the data to be selected and input from a plurality of categorized options include the position of the light source, the number of light sources, the shape of the device, the color of the device, There is a light distribution of a light source. In the present embodiment, as shown in FIG. 13 as an example, among the illumination data, the corner luminance average, the ceiling luminance average, the wall luminance average, the number of fixture lights, the luminous intensity, and the irradiation angle are numerically input, and the light distribution is categorized. The user is made to select and input from a plurality of options.

As for the viewpoint data for viewing the illuminated object, the viewpoint is input as coordinate data with the illuminated object, and the visual field is selected and input from a plurality of categorized options.

The above-mentioned computer graphics for evaluation is added to the database when insufficient data such as the amount of visual psychology is calculated and the data is completed. For example,
If you want to know the amount of visual psychology depending on the illumination angle of the wall lighting,
0 degrees, 30 degrees in computer graphics for evaluation
The evaluation value obtained by the subject is obtained from the computer graphics at the irradiation angles of degrees and 60 degrees, and learning is performed by a neural network to construct a model. Next, an image not included in the computer graphics for evaluation, for example, when the irradiation angle is 35
Create 45 degree computer graphics.
At this point, the input data other than the visual psychological quantity is known, so that it is input to the neural network model to obtain the visual psychological quantity. Then, when all the data are collected, the data is added to the database.

Next, computer graphics corresponding to the shape data of the object to be illuminated, the illumination data for illuminating the object to be illuminated, the viewpoint data for viewing the object to be illuminated, and the computer graphic When retrieving visual psychological quantity data for a database from a database, the determination device 12 uses the degree of coincidence between the data input by the input device 11 and each of a set of data in the database as an evaluation value based on the following equation 1. It is designed to calculate. Here, the determination device 12 determines that the smaller the value of the evaluation value, the higher the matching degree.

[0038]

(Equation 1)

A method for performing the above search will be described with reference to FIG.

The judging device 12 previously determines the weights A1, A2, and A3 of the evaluation function in Equation 1 based on one set of data input by the input device 11 (S5).
1). The criterion for determining the weights A1, A2, and A3 varies depending on which input value has priority.

Next, an evaluation value is calculated for all the data (each set) in the database using the equation 1 in which the weights A1, A2 and A3 are determined in S51 (S52).

Thereafter, the judging device 12 causes the computer graphics device 14 to display computer graphics for the data in ascending order of the evaluation value calculated in S52 (S53).

Then, the determination device 12 causes the visual psychological quantity display device 15 to display the visual psychological quantity corresponding to the computer graphics in S53 (S54).

Therefore, the person in charge of the design needs the input device 11
By inputting the shape data of the object to be illuminated, the illumination data for illuminating the object to be illuminated, and the viewpoint data for viewing the object to be illuminated, the amount of visual psychology can be known.

The calculation of the evaluation value in S52 will be described with reference to FIG. The above Equation 1 represents a basic formula for calculating the evaluation value. In the present embodiment, as the viewpoint data for viewing the illuminated object, the shape data of the illuminated object, and the data for illuminating the illuminated object, respectively. Since there is data described in the column of “data name” in FIG. 15, the matching degree between the input value and the corresponding data in the database is calculated for each “data name”, and the matching is performed for each “data name”. The square of the degree is weighted and the sum of them is used as the evaluation value. FIG. 15 shows three weight cases (weight cases 1 to 3). Weight examples 1 to 3 in FIG. 15 show numerical examples of weights for each data. Here, in weighting example 1, when the target space is strictly determined, in weighting example 2, the lighting conditions, in particular, the number of lamps, luminous intensity, irradiation angle, light distribution, and the like of the lighting fixture are clearly determined. In the case where the user wants to see the influence, weighting example 3 is an example in each case where the detailed parameters are undecided but the user wants to get a general sense of vision.

The matching degree is calculated by the “calculation method” in FIG.
Is determined by the method described in (1). A specific example will be described. Now, it is assumed that there is the following set of data in the database. Type of space: Category 4 (hospital) Space shape: Category 2 (column) Average brightness of corner of space: 40 cd / m ² Average brightness of ceiling: 60 cd / m ² Average brightness of wall: 70 cd / m ² Lamp of appliance Number: 16 lights Luminous intensity: 160 cd Irradiation angle: 45 degrees Light distribution: Category 3 Viewing data: Category 2 On the other hand, it is assumed that a person related to the design inputs the following data through the input device 11. Type of space: Category 2 (store) Space shape: Category 1 (cuboid) Average brightness of corners of space: 30 cd / m ² Average brightness of ceiling: 50 cd / m ² Average brightness of walls: 60 cd / m ² Light of fixture Number: 9 lamps Luminous intensity: 100 cd Irradiation angle: 40 degrees Light distribution: category 2 Viewing data: category 2 In such a case, the matching degree for each data is: space type: 1 (1 because matching is not performed. 0 if the category.) Shape of the space: 1 (1 because there is no matching. 0 if the same category). Average luminance of the corner of the space: 30 (% of error) Average luminance of the ceiling: 20 (% of error) Wall Average luminance: 17 (% of error) Number of lamps of fixture: 78 (% of error) Luminous intensity: 60 (% of error) Irradiation angle: 13 (% of error) Light distribution: 1 (1 because of no matching) 0 if the category is the same. ) Viewing data: 0 (0 since matching, 1 if not matching). As described above, the degree of matching is obtained for each data, each degree of matching is squared, multiplied by a weight, and the total sum of all is used as the evaluation value.

In the above description, the computer graphics device 14 and the visual psychological quantity display device 15 are described separately.
4 is provided with an image display device 14a composed of, for example, a CRT as shown in FIG. 16, and this image display device 14a also serves as the visual psychological quantity display device 15. Then, as shown in FIG. 16, a computer graphics image corresponding to the input data is displayed, and the numerical value of the visual psychological quantity is displayed on the side.

By inputting the shape data of the illuminated object, the illumination data for illuminating the illuminated object, and the viewpoint data for viewing the illuminated object, the illumination state of the illuminated object created based on these data is obtained. Since the visual psychological quantity obtained for the computer graphics is displayed on the visual psychological quantity display device 15, the visual psychology is compared with the illuminance at the center of the design standard as in the related art. Illuminance and brightness that take human visual psychology into consideration, and lighting design that takes into account human visual psychology can be performed. Becomes possible.

FIG. 16 illustrates a case in which a neural network model as shown in FIG. 9 is constructed, and includes “bright”, “comfortable”, “spacious”,.
The visual psychological quantities of 18 items of “preferred” are displayed at seven levels (numerical values of 1 to 7), respectively. When a neural network model as shown in FIG. 7 is constructed, the visual psychological quantities are “ The visual psychological quantities of the two items of "attraction" and "sophistication" are displayed at seven levels (numerical values of 1 to 7). Here, as the visual psychological quantities of “attraction” and “sophistication”, numerical values of 1 to 7 obtained by converting the above-mentioned values of 1 to 0 into numerical values of seven levels are displayed.

(Embodiment 2) As shown in FIG. 17, the lighting design support system of this embodiment includes shape data (hereinafter, referred to as shape data of an illuminated object) representing an attribute of an illumination space.
An input device 21 for inputting viewpoint data (hereinafter, referred to as viewpoint data for viewing an illuminated object) representing a viewpoint of an illumination space, visual psychological amount data, and the like, and an illumination space based on the data input by the input device 21. A computer graphics device 24 that simulates an illumination state (hereinafter, referred to as an illumination state of an illuminated object) to generate computer graphics, and illumination data (hereinafter, an illuminated object) representing an attribute related to a luminaire arranged in an illumination space. And an illumination data display device 25 for displaying illumination data for illuminating an object. Further, the lighting design support system of the present embodiment includes a data storage unit 23 having a database similar to that of the first embodiment, and one set of data input by the input device 21 and one set of data in the database. The computer graphics of one set of data having the highest degree of coincidence is determined on the computer graphics device 24, and illumination data for illuminating the object to be illuminated on the computer graphics is displayed on the illumination data display device 25. Judgment device 22
And

In order to perform lighting design using the lighting design support system of the present embodiment, computer graphics for evaluation are created, and the subject sees the lighting state of the created computer graphics for evaluation. After formulating the relationship between the visual psychological quantity and the quantified visual psychological quantity, the database is created in the data storage unit 13.
After that, the person in charge of design inputs the shape data of the illuminated object, the viewpoint data for viewing the illuminated object, the visual psychological amount data, etc. by the input device 21 according to the use of the design.
The lighting data display device 25 displays the lighting data.

The method of creating computer graphics for evaluation and formulating the same and the method of creating a database are the same as those in the first embodiment, and a description thereof will be omitted.

Here, the input data of the shape data of the object to be illuminated, the data of how to view the object to be illuminated, and the amount of visual psychological data by the input device 21 will be described with reference to FIGS. 18 and 19.

The shape data of the object to be illuminated is input in correspondence with roughly categorized data. The shape of the space is selected and input from a plurality of categorized options. For example, as shown in FIG. 13, a square space has category 1; a round space has category 2; You just have to select The shape data of the illuminated object is used as a type of space, for example, as shown in FIG. 13, category 1 for a house, category 2 for a store, category 3 for a school,..., Amusement space. Is to select category 9; in other cases, category 10 should be selected.

As for the viewpoint data for viewing the illuminated object, the viewpoint is input as coordinate data with respect to the illuminated object, and the visual field is selected and input from a plurality of categorized options.

The visual psychological quantity is input at a level of an adjective pair (numerical values of 1 to 7) suitable for expression.

Next, the computer graphics corresponding to the shape data of the illuminated object, the viewpoint data for seeing the illuminated object, and the visual psychological quantity data inputted by the person in charge of the design using the input device 21, and the computer graphics corresponding to the computer graphics. When the lighting data is retrieved from the database, the judgment device 2
2 is based on the following Expression 2 using the degree of coincidence between one set of data input by the input device 21 and one set of data in the database as an evaluation value. Here, the determination device 22 determines that the smaller the value of the evaluation value, the higher the matching degree.

[0058]

(Equation 2)

A method for performing the above search will be described with reference to FIG.

The determining device 22 determines the weights A1, A of the evaluation function
2, A3 is determined (S61). The weights A1, A
The criteria for determining A2 and A3 vary depending on which input value has priority.

Next, an evaluation value is calculated for all data (each set) in the database using the equation 2 in which the weights A1, A2, and A3 are determined in S61 (S62).

Thereafter, the judging device 22 causes the computer graphics device 24 to display computer graphics for the set of data in ascending order of the evaluation value calculated in S62 (S63).

Then, the determination device 22 causes the illumination data display device 25 to display the illumination data corresponding to the computer graphics in S63 (S64).

Therefore, the person in charge of the design needs the input device 21
By inputting the shape data of the illuminated object, the viewpoint data for viewing the illuminated object, and the visual psychological quantity data, the illumination data of the illuminated object can be known.

The calculation of the evaluation value in S62 will be described with reference to FIG. The above Expression 2 represents a basic formula for calculating the evaluation value. In the present embodiment, the “data name” column in FIG. , Calculate the degree of matching between the input value and the corresponding data in the database for each "data name", weight the square of the matching degree for each "data name" The sum is used as the evaluation value. FIG. 21 shows three weight cases (weight cases 1 to 3).
3). Weight examples 1 to 3 in FIG. 21 show numerical examples of weights for each data. Here, weight case 1 is when the target space is strictly determined, weight case 2 is when neither the space nor shape is clear, and weight case 3 is when it is desired to obtain the degree of coincidence of only the sense amount. These are examples.

Note that the matching degree is the same as that shown in FIG.
Similarly to 5, the value is obtained by the method described in “Calculation method” in FIG.

In the above description, the computer graphics device 24 and the illumination data display device 25 are described separately.
4 includes an image display device 24a made of, for example, a CRT as shown in FIG. 22, and this image display device 24a also serves as an illumination data display device 25. Then, as shown in FIG. 22, a computer graphics image corresponding to the input data is displayed, and illumination data is displayed on the side.

Thus, if the lighting design support system of this embodiment is used, even if there is no detailed lighting data, it is possible to input the shape data of the illuminated object, the viewpoint data for viewing the illuminated object, and the visual psychological quantity data. Accordingly, it is possible to simulate the illumination state of the illuminated object according to the visual psychological data, and the illumination data for illuminating the illuminated object according to the visual psychological data is displayed on the illumination data display device 25. Lighting design that takes into account the visual psychology of a person, it is possible to realize a more appropriate lighting condition than before, and it is also necessary to spend time setting the lighting condition by repeating trial and error on site as in the past Time can be reduced.

[0069]

According to the first aspect of the present invention, there is provided an input device for inputting shape data representing an attribute of a lighting space, lighting data representing an attribute of a lighting fixture arranged in the lighting space, and viewpoint data representing a viewpoint of the lighting space. A computer graphics device that generates computer graphics that simulates the lighting state of the illumination space based on the data input by the input device; and the computer graphics based on the data input by the input device. A determination device for obtaining a visual psychological quantity obtained for the visual psychological quantity display device and displaying the visual psychological quantity on the visual psychological quantity display device. By entering perspective data that represents the perspective of the space, Since the visual psychological amount of the computer graphics related to the lighting state of the lighting space is displayed on the visual psychological amount display device, the visual psychological amount of the human is compared with the case where the illuminance is at the center of the design standard as in the past. Since it can be considered in the design criteria and the lighting design can be performed in consideration of human visual psychology, there is an effect that it is possible to realize a more appropriate lighting state than before.

According to a second aspect of the present invention, there is provided an input device for inputting shape data representing an attribute of an illumination space, viewpoint data representing a viewpoint of an illumination space, and visual psychological data, and based on each of the data input by the input device. A computer graphics device that generates computer graphics simulating the lighting state of the lighting space, and an illumination data display device that obtains illumination data corresponding to the computer graphics based on the data input by the input device. Since there is provided a judgment device for displaying, even if there is no detailed lighting data, by inputting shape data representing the attribute of the lighting space, viewpoint data representing the viewpoint of the lighting space, and visual psychological data, the visual psychological data can be obtained. It can simulate the lighting condition of the lighting space according to Since the lighting data suitable for the data is displayed on the lighting data display device, the lighting design can be performed in consideration of the psychological quantity of human vision, and a more appropriate lighting state can be realized than before. In addition, there is an effect that it is possible to reduce the time spent for setting the illumination state while repeating trial and error on site as in the related art.

According to a seventh aspect of the present invention, in the first aspect of the present invention, the shape data, the illumination data,
In allowing the viewpoint data to be input, the shape data is selected from a plurality of options, the illumination data is partially input by a numerical value and the rest is selected from a plurality of options, and the viewpoint data is partially selected from a plurality of options. Since the selection is made, each of the data is selected from a plurality of options, so that there is an effect that the variation in the design due to the skill of the person in charge of design can be reduced.

According to an eighth aspect of the present invention, in the second aspect of the present invention, the shape data, the viewpoint data,
In inputting the visual psychological data, the shape data is selected from a plurality of options, the viewpoint data is partially selected from a plurality of options, and the visual psychological data is numerically input for a plurality of adjectives. Therefore, by selecting a part of the shape data and part of the viewpoint data from a plurality of options, it is possible to reduce the variation in the design due to the skill of the person in charge of design.

According to an eleventh aspect of the present invention, there is provided an illumination design method using the illumination design support system according to the first or second aspect, wherein a plurality of computer graphics simulated by a computer graphics device are subjected to SD. A neural network that inputs the lighting data using the visual psychological quantity obtained by applying the SD method as a teacher signal, and uses the weight obtained by the learning and the lighting data to perform learning. Since the relationship between lighting data and visual psychological quantity is formulated, it is possible to consider human visual psychological quantity in the design criteria, and it is possible to design lighting considering human visual psychological quantity. effective.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a first embodiment.

FIG. 2 is an explanatory diagram of a mathematical formulating method according to the first embodiment.

FIG. 3 is a schematic diagram of evaluation computer graphics created by the above.

FIG. 4 is an explanatory diagram of an adjective pair used when the SD method is applied in the embodiment.

FIG. 5 is a diagram showing an example of a result of factor analysis in the above.

FIG. 6 is a diagram showing an example of a factor analysis result in the above.

FIG. 7 is an explanatory diagram of a neural network model constructed as described above.

FIG. 8 is an explanatory diagram for converting a neural network model into a mathematical expression in the above.

FIG. 9 is an explanatory diagram of a neural network model constructed as described above.

FIG. 10 is an explanatory diagram of a database creation method in the above energy management system;

FIG. 11 is an explanatory diagram of an example of creating a database in the above.

FIG. 12 is an explanatory diagram of a data input method in the above.

FIG. 13 is an explanatory diagram of a data input method in the above.

FIG. 14 is an explanatory diagram of a method for displaying a visual psychological quantity in the above embodiment.

FIG. 15 is an explanatory diagram of a database search method according to the above.

FIG. 16 is an explanatory diagram of an output method according to the above.

FIG. 17 is a block diagram showing a second embodiment.

FIG. 18 is an explanatory diagram of the data input method in the above.

FIG. 19 is an explanatory diagram of a data input method in the above.

FIG. 20 is an explanatory diagram of a display method of illumination data in the above.

FIG. 21 is an explanatory diagram of a database search method in Embodiment 1;

FIG. 22 is an explanatory diagram of an output method according to the above.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 11 Input device 12 Judgment device 13 Data storage part 14 Computer graphics device 15 Visual psychological quantity display device

Claims (11)

[Claims] 1. An input device for inputting shape data representing an attribute of a lighting space, lighting data representing an attribute of a lighting fixture arranged in the lighting space, and viewpoint data representing a viewpoint of the lighting space. A computer graphics device that generates computer graphics simulating the lighting state of the illumination space based on the data; and a visual psychological quantity obtained for the computer graphics based on the data input by the input device. And a determination device for displaying the calculated value on the visual psychological quantity display device. 2. An input device for inputting shape data representing an attribute of an illumination space, viewpoint data representing a viewpoint of an illumination space, and visual psychological quantity data, and illumination of the illumination space based on each of the data input by the input device. A computer graphics device that generates computer graphics simulating a state, and a determination device that determines illumination data corresponding to the computer graphics based on the data input by the input device and displays the illumination data on an illumination data display device. A lighting design support system comprising: 3. A neural network in which the visual psychological quantity obtained by applying the SD method to computer graphics simulated by a computer graphics device is used as a teacher signal and the illumination data is input, and learning of the neural network. 3. A lighting design support according to claim 1, further comprising means for setting a mathematical expression representing a relationship between the lighting data and a visual psychological quantity using the weight obtained by the above and the lighting data. system. 4. Obtained for computer graphics, shape data representing attributes of a lighting space, lighting data representing attributes of lighting fixtures arranged in the lighting space, viewpoint data representing a viewpoint of the lighting space, and computer graphics. The lighting design support system according to claim 1 or 2, further comprising a database in which the visual psychological quantity data is set as one set. 5. Obtained for computer graphics, shape data representing the attributes of the lighting space, lighting data representing the attributes of the lighting fixtures arranged in the lighting space, viewpoint data representing the viewpoint of the lighting space, and computer graphics. The determination device is provided with a database in which the visual psychological data is set as one set, and the determination device is a set of data stored in the database as the set of the shape data, the illumination data, and the viewpoint data input by the input device. The lighting design support system according to claim 1, wherein the visual psychological quantity data of one set of data having a high degree of coincidence in the database is displayed on the visual psychological quantity display device by determining the degree of coincidence with the database. 6. Shape data representing an attribute of a lighting space, lighting data representing an attribute of a lighting fixture arranged in the lighting space, viewpoint data representing a viewpoint of the lighting space, visual psychological data obtained for computer graphics. Is provided as a set with a database,
The determination device determines the degree of coincidence with the one set of data stored in the database as one set of the shape data, the viewpoint data, and the visual psychological amount data input by the input device, and has a high degree of coincidence in the database. The lighting design support system according to claim 2, wherein the lighting data in one set of data is displayed on a lighting data display device. 7. When inputting the shape data, the illumination data, and the viewpoint data by an input device, the shape data is selected from a plurality of options, and the illumination data is partially input as a numerical value and the rest is input into a plurality of options. 2. The lighting design support system according to claim 1, wherein a selection is made from options, and a part of the viewpoint data is selected from a plurality of options. 8. When inputting the shape data, the viewpoint data, and the visual psychological amount data by an input device, the shape data is selected from a plurality of options, and the viewpoint data is partially selected from a plurality of options. 3. The lighting design support system according to claim 2, wherein the visual psychological quantity data is input numerically for each of a plurality of adjectives. 9. The computer graphics device comprises an image display device for displaying computer graphics and also serving as a visual psychological quantity display device, and a judging device is obtained for the simulated computer graphics and the computer graphics. The lighting design support system according to claim 1, wherein the visual psychological quantity is displayed on the same screen in the image display device. 10. The computer graphics device comprises an image display device for displaying computer graphics and also serving as an illumination data display device, wherein the judging device comprises: a simulated computer graphic; and illumination data corresponding to the computer graphics. 3 is displayed on the same screen in the image display device. 11. A lighting design method using the lighting design support system according to claim 1 or 2, wherein the SD method is applied to a plurality of computer graphics simulated by a computer graphics device, A neural network that inputs the lighting data as a teacher signal using the visual psychological quantity obtained by applying the SD method is learned, and the weighting and the lighting data obtained by the learning are used to learn the lighting data and the visual psychology. A lighting design method using a lighting design support system, characterized by formulating a relationship with an amount.