JP2010049445A - Optimum illuminator operation device and optimum illuminator operation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an optimum illuminator operation device and method, for designing an illumination to attain desired illuminance distribution in space as much as possible. <P>SOLUTION: The optimum illuminator operation device S includes: a storage part 3 for storing shape/optical characteristic data expressing the shape of a space in which an illuminator is to be arranged and the optical characteristic of a space surface, the arrangement position data of the illuminator and the light distribution characteristic data of the illuminator, and storing a plurality of data of at least either one of the arrangement position data and the light distribution characteristic data; an input part 1 for inputting desired illuminance distribution in the space as target illuminance distribution; an illuminance distribution calculation part 41 for determining the illuminance distribution in the space as a calculated illuminance distribution based on the shape/optical characteristic data, the arrangement position data and the light distribution characteristic data; and a difference operation part 42 and an illuminance distribution selection part 43 for selecting the calculated illuminance distribution most similar to the target illuminance distribution from a plurality of determined calculated illuminance distributions as an optimum illuminance distribution. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an optimum luminaire calculation device and an optimum luminaire calculation method capable of obtaining an optimum illumination design for a predetermined space.

The luminaire not only gives the space the necessary illuminance according to the application of the space, but also can create a predetermined atmosphere in the space by adjusting the illuminance. Therefore, the lighting design of the space is important. For example, Non-Patent Document 1 discloses a technique for obtaining the intensity of a lighting fixture that gives a desired illuminance distribution when the arrangement position of the lighting fixture is determined. Yes.
"Painting with Light", Chris Schoeneman, Julie Dorsey, Brian Smits, James Arvo, Donald Greenberg, Proc. ACM SIGGRAPH '93, pp. 143-146 (1993)

  It is desirable that the lighting design of the space be performed so that the owner of the structure forming the space has the desired illuminance distribution. However, the illuminance distribution by the luminaire depends on the arrangement position of the luminaire and the light distribution characteristics of the luminaire. It is difficult to design properly because it varies depending on the factors.

  Further, in the technique disclosed in Non-Patent Document 1, when the arrangement position of the luminaire is determined, the light intensity of the luminaire that gives the desired illuminance distribution can be obtained. In order to achieve this, it is impossible to obtain a suitable arrangement position of the luminaire and light distribution characteristics of the luminaire.

  The present invention is an invention made in view of the above-described circumstances, and an object of the present invention is to provide an optimum lighting apparatus arithmetic device and optimum illumination capable of performing an illumination design for realizing a desired illuminance distribution in a space as much as possible. It is to provide an instrument calculation method.

  As a result of various studies, the present inventor has found that the above object is achieved by the present invention described below. That is, the optimal lighting apparatus arithmetic device according to one aspect of the present invention includes shape / optical characteristic data representing the shape of the space in the structure forming the space in which the lighting apparatus is to be disposed and the optical characteristics of the surface of the space; The arrangement position data representing a position where the lighting fixture can be arranged in the space and the light distribution characteristic data representing the light distribution characteristic of the lighting fixture are stored, and among the arrangement position data and the light distribution characteristic data, Based on a storage unit that stores a plurality of at least one, an input unit for inputting a desired illuminance distribution in the space as a target illuminance distribution, the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data An illuminance distribution calculator that calculates the illuminance distribution in the space as a calculated illuminance distribution, and a plurality of calculated illuminances determined by the illuminance distribution calculator Characterized in that it comprises a selection unit for selecting the most similar calculation illuminance distribution on the target irradiance distribution input from the input unit from the fabric as the optimum illuminance distribution. And the optimal lighting fixture calculation method concerning other one mode of the present invention should arrange an input process for inputting desired illuminance distribution in the space where lighting fixture should be arranged as target illuminance distribution, and lighting fixture Shape and optical characteristic data representing the shape of the space and optical characteristics on the surface of the space in the structure forming the space, arrangement position data representing the arrangement position of the lighting fixture in the space, and light distribution characteristics of the lighting fixture An illuminance distribution calculating step for obtaining an illuminance distribution in the space as a calculated illuminance distribution based on light distribution characteristic data representing the input, and a plurality of calculated illuminance distributions obtained in the illuminance distribution calculating step are input from the input step. A selection step of selecting the calculated illuminance distribution most similar to the target illuminance distribution as the optimum illuminance distribution, and the arrangement position data and the light distribution characteristic data At least one of the data, and wherein a plurality.

  In the optimal lighting fixture calculation device and the optimal lighting fixture calculation method having such a configuration, the illuminance distribution in the space is obtained as the calculated illuminance distribution based on the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data. A plurality of calculated illuminance distributions are obtained from at least one of the position data and the light distribution characteristic data. Then, the calculated illuminance distribution that is most similar to the desired illuminance distribution (target illuminance distribution) is selected as the optimum illuminance distribution from the plurality of calculated illuminance distributions. Therefore, the optimal lighting fixture calculation device and the optimal lighting fixture calculation method having such a configuration can perform lighting design for realizing a desired illuminance distribution in the space as much as possible.

  For this reason, for example, an arrangement position of a lighting fixture that realizes the illuminance distribution desired by the owner as much as possible is provided to the owner of the structure forming the space, or the illuminance distribution desired by the owner is as preferable as possible. It is possible to provide a light distribution characteristic of a lighting fixture realized in the above. By selecting a lighting fixture having the light distribution characteristic, the illuminance distribution desired by the owner can be realized as suitably as possible. In addition, for example, it is possible to provide a lighting fixture designer with the light distribution characteristics of a lighting fixture that achieves the illuminance distribution desired by the owner as best as possible. It is also possible to design the luminaire so as to realize it as much as possible.

  Moreover, in the above-described optimum lighting fixture arithmetic apparatus, the selection unit calculates a difference between a plurality of calculated illuminance distributions calculated by the illuminance distribution calculating unit and a target illuminance distribution input from the input unit, respectively. And an illuminance distribution selection unit that obtains the smallest difference among the differences obtained by the difference calculation unit and selects the calculated illuminance distribution that gives the obtained difference as the optimum illuminance distribution. .

  According to this configuration, the optimum illuminance distribution can be obtained by a relatively simple calculation by obtaining the difference between the plurality of calculated illuminance distributions and the target illuminance distribution and selecting the calculated illuminance distribution that gives the smallest difference among the differences. Can be obtained.

  In the above-described optimum lighting apparatus computing device, the apparatus further includes a change input unit for changing the light intensity value of the light distribution characteristic data.

  According to this configuration, since the light intensity value of the light distribution characteristic data can be changed by the change input unit, the calculated illuminance distribution can be further obtained with a light intensity value different from the light distribution characteristic data given in advance. It is possible to obtain a calculated illuminance distribution that is more similar to the target illuminance distribution.

  Further, in the above-described optimum lighting apparatus arithmetic device, the light distribution characteristic data is plural.

  According to this configuration, the target illuminance distribution can be preferably realized as much as possible by selecting the light distribution characteristic data particularly when the arrangement position of the lighting fixture is determined. Further, when designing a lighting fixture to realize the target illuminance distribution, a design guideline for the lighting fixture can be obtained by referring to the selected light distribution characteristic. Furthermore, it is suitable when using a luminaire capable of dimming.

  Moreover, in these above-mentioned optimal lighting fixture calculation apparatuses, the arrangement position data is plural.

  According to this configuration, in particular, when the light distribution characteristics of the lighting fixture are determined, the target illuminance distribution can be realized as suitably as possible by selecting the arrangement position data. Further, when performing illumination design to realize the target illuminance distribution, the illumination design can be performed more efficiently by referring to the selected arrangement position data and starting the illumination design from the arrangement position data.

  The optimum luminaire calculation apparatus and the optimum luminaire calculation method according to the present invention can perform illumination design for realizing a desired illuminance distribution in a space as much as possible.

Hereinafter, an embodiment according to the present invention will be described with reference to the drawings. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, The description is abbreviate | omitted.
(Configuration of the embodiment)
FIG. 1 is a block diagram illustrating a configuration of an optimum lighting fixture arithmetic device according to the embodiment. In FIG. 1, the optimum lighting apparatus computing device S includes an input unit 1, an output unit 2, a storage unit 3, and a computation processing unit 4.

  The input unit 1 is necessary for executing the optimum lighting fixture calculation using various commands such as a start command for instructing the start of the optimum lighting fixture calculation for obtaining the optimum lighting fixture, and the optimum lighting fixture calculation device S such as the target illuminance distribution. This is a device for inputting various data such as simple data to the optimum lighting apparatus computing device S, such as a keyboard, a mouse, a touch panel, and the like. The target illuminance distribution is an illuminance distribution in a space desired by the user or desired to be realized by the user. The target illuminance distribution may be input for the entire space, or a part of the space, for example, a surface of the space or a part of the surface may be specified and input for the specified part.

  The output unit 2 is a device that outputs commands and data input from the input unit 1 and results obtained by execution of optimal lighting fixture calculations, such as a CRT display, LCD, organic EL display, or plasma display. Display devices and printing devices such as printers.

  The storage unit 3 includes a shape / optical characteristic data storage unit 31 that stores shape / optical characteristic data, an arrangement position data storage unit 32 that stores arrangement position data, and a light distribution characteristic data storage unit that stores light distribution characteristic data. 33 and a calculated illuminance distribution storage unit 34 for storing the calculated illuminance distribution, and various programs such as an optimal lighting apparatus calculation program for obtaining an optimal illuminance distribution with respect to the target illuminance distribution input from the input unit 1, and It is a device for storing various data such as data necessary for program execution and data generated during the execution. The storage unit 3 is, for example, a volatile storage element such as a RAM (Random Access Memory) serving as a so-called working memory of the arithmetic processing unit 4, a ROM (Read Only Memory) or a rewritable EEPROM (Electrically Erasable Programmable Read Only Memory). And the like, and a hard disk or the like for storing relatively large capacity data.

  The shape / optical property data is data representing the shape of the space in the structure forming the space in which the luminaire is to be arranged, and data representing the optical property on the surface of the space. The shape / optical characteristic data is held as, for example, three-dimensional CAD data. More specifically, for example, the shape / optical property data includes data representing each surface forming the space and data representing the optical property of the surface. The optical characteristic is determined according to a physical quantity required when obtaining the illuminance distribution. For example, in the case where the illuminance distribution is obtained by the radiosity method described later, the optical characteristic is a reflectance on the surface of the space.

  The arrangement position data is data representing a position where the luminaire can be arranged in a space where the luminaire is to be arranged. This arrangement position data is held, for example, as coordinate values in a space where the lighting fixture is to be arranged.

  The light distribution characteristic data is data representing the light distribution characteristic of the lighting fixture. The light distribution characteristic indicates in which direction and how much light is emitted from the luminaire. This light distribution characteristic data is held, for example, in the IES format, which is a data format in which the intensity distribution of light emitted from the lighting fixture is described in terms of luminous intensity for each azimuth angle. More specifically, data in the IES (Illuminating Engineering Society) format includes data for specifying a lighting fixture according to the manufacturer of the lighting fixture, catalog number, lamp type, catalog number, and the like. Includes a list of light measurement angles (data), a list of horizontal light distribution measurement angles (data), and a candela value at each vertical angle on a vertical plane through each horizontal angle in these lists. Contains a list of candela values that are.

  These shape / optical characteristic data, arrangement position data, and light distribution characteristic data are stored in the storage unit 3 in advance before calculating the optimum illuminance distribution.

  A plurality of at least one of the arrangement position data and the light distribution characteristic data is stored because it is necessary to calculate a plurality of illuminance distributions in order to select an optimum illuminance distribution for the target illuminance distribution.

  Here, in the case where a plurality of light distribution characteristic data are stored, the target illuminance distribution is preferably made as much as possible by selecting the light distribution characteristic data, particularly on the premise that a predetermined arrangement position is used for a predetermined space. Can be realized. In addition, when designing a luminaire to achieve the target illuminance distribution, the design guidelines for the luminaire can be obtained by referring to the selected light distribution characteristics, which is useful for designing the luminaire in the luminaire manufacturer. Become.

  The plurality of light distribution characteristic data may be data of a plurality of lighting fixtures having different light distribution characteristics, may be a plurality of light distribution characteristic data different from each other for one lighting fixture, The plurality of light distribution characteristic data may be different from each other for each of the plurality of lighting fixtures.

  On the other hand, in the case where a plurality of arrangement position data is stored, the target illuminance distribution is preferably realized as much as possible by selecting the arrangement position data, especially on the premise that a lighting fixture having a predetermined light distribution characteristic is used in a predetermined space. Such an optimal arrangement position of the luminaire can be proposed to the client, for example. Further, when performing illumination design to realize the target illuminance distribution, the illumination design can be performed more efficiently by referring to the selected arrangement position data and starting the illumination design from the arrangement position data.

  The arithmetic processing unit 4 includes, for example, a microprocessor and its peripheral circuits, and functionally includes an illuminance distribution calculating unit 41, a difference calculating unit 42, and an illuminance distribution selecting unit 43, and a control program. Accordingly, the input unit 1, the output unit 2, and the storage unit 3 are controlled according to the function, respectively, and the entire optimum lighting apparatus computing device S is controlled.

  Based on the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data, the illuminance distribution calculation unit 41 obtains the illuminance distribution in the space where the luminaire is to be arranged as the calculated illuminance distribution, and the calculated illuminance distribution is obtained. It is stored in the calculated illuminance distribution storage unit 34 of the storage unit 3.

  For example, the illuminance distribution calculation unit 41 may obtain a calculated illuminance distribution by a so-called radiosity method using shape / optical characteristic data, arrangement position data, and light distribution characteristic data.

The radiosity method calculates the energy of light of each surface by calculating the mutual reflection on each surface of the space. In the radiosity method, a surface is assumed to be constituted by a set of minute surfaces (surface elements), and each of these surface elements is called a patch. Radiosity is energy per unit time and unit area. In the radiosity method, the radiosity that each patch emits and reflects is balanced. The radiosity B _i of the patch i is the sum of the term E _i due to its own light emission and the term obtained by reflecting the incident energy from other patches, and is expressed by Equation 1.
B _i = E _i + p _i ΣB _j F _ij (1)
Here, the sum of Σ is obtained for all the surface elements j. p _i is the reflection coefficient of patch i. F _ij is called a form factor and is expressed as Equation 2, and is determined by factors such as the positional relationship between patch i and patch j and the positional relationship with other patches.
F _ij = (energy incident on patch i from patch j) / (total energy radiated from patch j) (2)
By solving the linear equation of Equation 1 by, for example, the Gauss-Seidel method, the radiosity B _i of each patch _i is obtained, and the illuminance distribution of the surface composed of each patch (each surface element) i is obtained. The radiosity method is suitably used when the surface of the space is diffusely reflected from the viewpoint of the calculation method.

  In the case of obtaining the illuminance distribution in the space by the radiosity method, as can be seen from the above calculation method, the shape / optical characteristic data includes reflectance data. Since the absorptance is 1-reflectance, the absorptance data may be used instead of the reflectance data.

  In addition, the illuminance distribution calculation unit 41 may obtain the calculated illuminance distribution by a so-called ray tracing method using, for example, shape / optical characteristic data, arrangement position data, and light distribution characteristic data.

  The ray tracing method (light ray tracing method) is a method for obtaining the illuminance distribution of the region by tracking the light ray emitted from the luminaire and collecting the light rays reaching the region for which the illuminance distribution is desired to be obtained. In tracking this light beam, when the light beam hits an object, it is divided into two light beams, reflected light and refracted light, and each of these light beams is tracked. The angle and light intensity of each of the reflected light and refracted light are calculated based on the optical characteristics of the object. In the case of obtaining the illuminance distribution in space by this ray tracing method, as can be seen from the above calculation method, the shape / optical characteristic data includes data of reflectance and refractive index.

  In addition, the illuminance distribution calculation unit 41 may obtain the calculated illuminance distribution by a method combining the radiosity method and the ray tracing method using, for example, shape / optical characteristic data, arrangement position data, and light distribution characteristic data. .

  The difference calculation unit 42 and the illuminance distribution selection unit 43 select the calculated illuminance distribution most similar to the target illuminance distribution input from the input unit 1 from among the plurality of calculated illuminance distributions obtained by the illuminance distribution calculation unit 41. As an example, the selection unit is selected.

The difference calculation unit 42 calculates a difference between the plurality of calculated illuminance distributions obtained by the illuminance distribution calculation unit 41 and the target illuminance distribution input from the input unit 1. The area in which the target illuminance distribution is specified is divided into a plurality of micro areas a _i, and the illuminance value of the micro area a _i in the calculated illuminance distribution obtained by the illuminance distribution calculator 41 is Φc (a _i ). When the illuminance value of the micro area in the target illuminance distribution input from Φ is represented by Φd (a _i ), the difference D is obtained as the sum of the square differences of the micro areas with respect to i, and is expressed by Equation 3.
D = Σ (Φd (a _i ) −Φc (a _i )) ² (3)
In the above description, when selecting the calculated illuminance distribution most similar to the target illuminance distribution input from the input unit 1 as the optimal illuminance distribution from among the plurality of calculated illuminance distributions obtained by the illuminance distribution calculation unit 41, the difference D is used. For example, correlation values between a plurality of calculated illuminance distributions obtained by the illuminance distribution calculation unit 41 by correlation calculation and the target illuminance distribution input from the input unit 1 are respectively obtained, and this correlation value is used as an index. By doing so, the optimum illuminance distribution may be selected.

  The illuminance distribution selection unit 43 obtains the smallest difference among the differences obtained by the difference calculation unit 42, and selects the calculated illuminance distribution that gives the obtained difference as the optimum illuminance distribution.

  By calculating the difference D between the plurality of calculated illuminance distributions and the target illuminance distribution by the difference calculating section 42 and the illuminance distribution selecting section 43, the calculated illuminance distribution that gives the smallest difference D is selected from each difference. Thus, the optimum illuminance distribution can be obtained by a relatively simple calculation.

  The input unit 1, the output unit 2, the storage unit 3, and the arithmetic processing unit 4 are connected by a bus 5 so that data can be exchanged with each other.

  In addition, the optimal lighting fixture arithmetic unit S may further include an external storage unit 6 and / or a communication interface unit 7 as indicated by a broken line as necessary. The external storage unit 6 reads data between recording media such as a flexible disk, a CD-ROM (Compact Disc Read Only Memory), a CD-R (Compact Disc Recordable), and a DVD-R (Digital Versatile Disc Recordable). And / or a device that performs writing, such as a flexible disk drive, a CD-ROM drive, a CD-R drive, and a DVD-R drive.

  The communication interface unit 7 is an interface circuit that is connected to a network (not shown) and transmits / receives communication signals to / from an external communication terminal (not shown) via the network. The communication signal according to the communication protocol of the network is created based on the above, and the communication signal from the network is converted into data in a format that can be processed by the arithmetic processing unit 4.

  Here, when each program such as the optimum lighting fixture calculation program and each data such as shape data, arrangement position data and light distribution characteristic data are not stored, each program and each data are recorded from the recording medium on which these are recorded. The optimal lighting apparatus computing device S may be configured to be installed in the storage unit 3 via the external storage unit 6, and a server (not shown) that manages these programs and data via the network. Thus, the optimum lighting apparatus computing device S may be configured so that each program and each data is downloaded by using the communication interface unit 7.

Next, the operation of this embodiment will be described.
(Operation of the embodiment)
FIG. 2 is a flowchart illustrating the operation of the optimum lighting apparatus arithmetic device according to the embodiment. In the optimum lighting fixture arithmetic apparatus S having the above configuration, when the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data are stored in the storage unit 3 in advance, and the start of the optimum lighting fixture calculation is instructed from the input unit 1, First, in FIG. 2, in step S <b> 11, the target illuminance distribution is input from the input unit 1 to the optimal lighting apparatus arithmetic device S. For example, a space based on the shape / optical characteristic data is displayed on the output unit 2 with a GUI operation screen, and a target illuminance distribution is displayed on the space of the operation screen by using a pointing device such as a mouse on a surface such as a floor surface or a wall surface. The area to be specified is set and specified by a rectangular frame, and the target illuminance distribution is numerically input by, for example, a numeric keypad or a keyboard key displayed on the operation screen. The target illuminance distribution may be specified for the entire area, or may be specified for each of the divided areas obtained by further dividing the area. Next, in step S 12, the calculated illuminance distribution is obtained by the illuminance distribution calculation unit 41 based on the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data, and the obtained calculated illuminance distribution is calculated by the calculation of the storage unit 3. It is stored in the illuminance distribution storage unit 34. In this case, when there are a plurality of arrangement position data, the calculated illuminance distribution is obtained for each of the arrangement position data, and when there are a plurality of light distribution characteristic data, the calculation is performed for each of the light distribution characteristic data. Illuminance distribution is required.

  Next, in step S <b> 13, the difference calculation unit 42 obtains a difference D between each calculated illuminance distribution and the target illuminance distribution. Next, in step S14, the optimum illuminance distribution is selected from the plurality of calculated illuminance distributions based on the obtained difference by the illuminance distribution selection unit 43. In step S15, the selected optimum illuminance distribution is output to the output unit 2. Is output. Then, arrangement position data and light distribution characteristic data corresponding to the optimum illuminance distribution are also output to the output unit 2.

  As described above, in the optimum lighting fixture calculation device S and the optimum lighting fixture calculation method, the illuminance distribution in the space is obtained as the calculated illuminance distribution based on the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data. A plurality of calculated illuminance distributions are obtained from at least one of the data and the light distribution characteristic data. Then, the calculated illuminance distribution most similar to the desired illuminance distribution (target illuminance distribution) is selected from the plurality of calculated illuminance distributions as the optimum illuminance distribution and output. Therefore, the optimal lighting fixture calculation device S and the optimal lighting fixture calculation method can perform lighting design for realizing a desired illuminance distribution in the space as much as possible.

  For this reason, for example, an arrangement position of a lighting fixture that realizes the illuminance distribution desired by the owner as much as possible is provided to the owner of the structure forming the space, or the illuminance distribution desired by the owner is as preferable as possible. It is possible to provide a light distribution characteristic of a lighting fixture realized in the above. By selecting a lighting fixture having the light distribution characteristic, the illuminance distribution desired by the owner can be realized as suitably as possible. In addition, for example, it is possible to provide a lighting fixture designer with the light distribution characteristics of a lighting fixture that achieves the illuminance distribution desired by the owner as best as possible. It is also possible to design the luminaire so as to realize it as much as possible.

  In this embodiment, since the difference D between the calculated illuminance distribution and the target illuminance distribution is obtained, the calculated illuminance distribution can be quantitatively evaluated with respect to the target illuminance distribution. And it is most preferable if the optimal illuminance distribution is the target illuminance distribution, but even when the optimal illuminance distribution is different from the target illuminance distribution, it is possible to design the illumination by using another design method from the illuminance distribution most similar to the target illuminance distribution. Therefore, it is possible to improve the efficiency of lighting design.

  Moreover, in the above-mentioned embodiment, the optimal lighting fixture calculation apparatus S may further include a change input unit for changing the light intensity value of the light distribution characteristic data. This change input part may be input 1, for example.

  When the illuminance distribution calculation unit 41 obtains the calculated illuminance distribution, the light intensity value of the light distribution characteristic data is multiplied by a constant such as 2 times, 2.5 times, and 3 times by the constant input from the input unit 1. Is used for calculating the calculated illuminance distribution, or the light intensity value of the light distribution characteristic data is reduced to a constant number such as 1/2, 1 / 2.5, and 1/3, and then the calculated illuminance distribution is calculated. By using this, the calculated illuminance distribution can be further obtained with a light intensity value different from the light distribution characteristic data given in advance, and the calculated illuminance distribution more similar to the target illuminance distribution can be obtained.

  In order to express the present invention, the present invention has been properly and fully described through the embodiments with reference to the drawings. However, those skilled in the art can easily change and / or improve the above-described embodiments. It should be recognized that this is possible. Therefore, unless the modifications or improvements implemented by those skilled in the art are at a level that departs from the scope of the claims recited in the claims, the modifications or improvements are not covered by the claims. To be construed as inclusive.

It is a block diagram which shows the structure of the optimal lighting fixture calculating apparatus concerning embodiment. It is a flowchart which shows operation | movement of the optimal lighting fixture arithmetic device concerning embodiment.

Explanation of symbols

S Optimal luminaire calculation device 1 Input unit 2 Output unit 3 Storage unit 4 Calculation processing unit 31 Shape data storage unit 32 Arrangement position data storage unit 33 Light distribution characteristic data storage unit 41 Illuminance distribution calculation unit 42 Difference calculation unit 43 Illuminance distribution selection Part

Claims (6)

In the structure forming the space where the lighting fixture is to be placed, the shape and optical characteristic data representing the shape of the space and the optical characteristics on the surface of the space, and the arrangement position representing the position where the lighting fixture can be placed in the space Storing data and light distribution characteristic data representing the light distribution characteristic of the lighting fixture, and storing a plurality of at least one of the arrangement position data and the light distribution characteristic data;
An input unit for inputting a desired illuminance distribution in the space as a target illuminance distribution;
An illuminance distribution calculation unit for obtaining an illuminance distribution in the space as a calculated illuminance distribution based on the shape / optical characteristic data, the arrangement position data, and the light distribution characteristic data;
A selection unit that selects, as an optimum illuminance distribution, a calculated illuminance distribution that is most similar to the target illuminance distribution input from the input unit from among a plurality of calculated illuminance distributions obtained by the illuminance distribution calculation unit. Optimal lighting fixture computing device. The selection unit includes:
A difference calculating unit for determining a difference between a plurality of calculated illuminance distributions obtained by the illuminance distribution calculating unit and a target illuminance distribution input from the input unit;
An illuminance distribution selecting unit that obtains the smallest difference among the differences obtained by the difference calculating unit and selects a calculated illuminance distribution that gives the obtained difference as the optimum illuminance distribution. The optimal lighting fixture arithmetic device according to 1. The optimal lighting apparatus computing device according to claim 1, further comprising a change input unit for changing a light intensity value of the light distribution characteristic data. The optimal light fixture arithmetic apparatus according to any one of claims 1 to 3, wherein the light distribution characteristic data is plural. The optimal lighting fixture arithmetic apparatus according to any one of claims 1 to 3, wherein the arrangement position data is plural. An input step for inputting a desired illuminance distribution in a space in which the luminaire is to be arranged as a target illuminance distribution;
Shape / optical property data representing the shape of the space in the structure forming the space where the lighting fixture is to be placed and the optical characteristics of the surface of the space, placement position data representing the placement position of the lighting fixture in the space, and An illuminance distribution calculation step for obtaining the illuminance distribution in the space as the calculated illuminance distribution based on the light distribution characteristic data representing the light distribution characteristics of the luminaire,
A selection step of selecting a calculation illuminance distribution most similar to the target illuminance distribution input from the input step as the optimum illuminance distribution from a plurality of calculated illuminance distributions obtained in the illuminance distribution calculation step,
At least one of the arrangement position data and the light distribution characteristic data is plural.

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