JP6945157B2 - Renewal support system, renewal support method, program - Google Patents

Description

The present invention relates to a renewal support system, a renewal support method, and a program. More specifically, the present invention relates to a renewal support system, a renewal support method, and a program that proposes replacement of equipment installed in a building.

The renewal proposal support system described in Patent Document 1 notifies a component of other components that cannot be combined with the component to be changed when the component of the product provided by the customer is changed. Therefore, the renewal proposal support system described in Patent Document 1 stores information on the components of the product provided by the customer, information on the components currently handled and components handled in the past, and further, the components of each other. It stores information about the possibility of combination. With this configuration, the renewal proposal support system described in Patent Document 1 reduces the load of the case narrowing down work of the sales person who proposes the renewal to the customer, and makes the renewal proposal work more efficient. The products are exemplified by computers and automobiles.

Further, Patent Document 2 describes an energy-saving recommended device from among a plurality of energy-saving devices based on device information such as the power amount and operating state of the device and energy-saving device information regarding the performance of the energy-saving device having excellent energy consumption efficiency. The technique for selecting is described.

Japanese Unexamined Patent Publication No. 2006-7902 Japanese Unexamined Patent Publication No. 2005-32235

In the technique described in Patent Document 1, in order to change the component of the product provided by the customer, it is necessary to store the information regarding the component of the product provided by the customer. Further, in the technique described in Patent Document 2, it is necessary to input the part number of the device for acquiring the device information to the adapter.

That is, the techniques described in Patent Document 1 and Patent Document 2 are based on the premise that existing devices are known.

An object of the present invention is to provide a renewal support system, a renewal support method, and a program that enable a selection of a new device that replaces an existing device even if the existing device is unknown.

The renewal support system according to one aspect of the present invention includes an input interface, a processing unit, and an output interface. The input interface belongs to a plurality of surfaces surrounding the predetermined space or the surface of an existing instrument installed on any one of the plurality of surfaces from the measuring device with respect to the predetermined space of the building. Receives three-dimensional spatial information including three-dimensional coordinate values of each of a plurality of measurement points. Based on the space information, the processing unit refers to an existing instrument installed in the predetermined space, and is a target surface on which the existing instrument is installed among a plurality of surfaces surrounding the predetermined space. information specification including information of the projected shape of the existing instrument into, and extracts the information of the arrangement including the information of the position of the existing instruments on the target surface, using the information of the information and the arrangement of the specification The existing device is specified, and a new device that can be installed in the predetermined space in place of the existing device is selected from a plurality of candidate devices. The output interface outputs at least specification information about the new device.

The renewal support method according to one aspect of the present invention has the following steps. That is, the first step is the surface of an existing instrument installed on any one of a plurality of surfaces surrounding the predetermined space or the plurality of surfaces from the measuring device with respect to the predetermined space of the building. This is a step of receiving three-dimensional spatial information including three-dimensional coordinate values of each of a plurality of measurement points belonging to. The second step is an object in which the existing appliance is installed among a plurality of surfaces surrounding the predetermined space, based on the spatial information, with respect to the existing appliance installed in the predetermined space. information specification including information of the projected shape of the existing instrument to the surface, and extracts the information of the arrangement including the information of the position of the existing instruments on the target surface, the information of the information and the arrangement of the specification It is a step of identifying the existing device by using. The third step is a step of selecting a new device that can be installed in the predetermined space in place of the existing device from a plurality of candidate devices. The fourth step is a step of outputting at least specification information for the new device.

The program according to one aspect of the present invention is a program for making a computer function as the above-mentioned renewal support system. Alternatively, the program according to one aspect of the present invention is a program for causing a computer to execute the above-mentioned renewal support method.

According to the configuration of the present invention, there is an advantage that it is possible to select a new device that replaces the existing device even if the existing device is unknown.

FIG. 1 is a configuration diagram showing an embodiment. FIG. 2A is a perspective view showing an example of the measuring device according to the embodiment, and FIG. 2B is a diagram illustrating spatial information measured by the measuring device according to the embodiment. FIG. 3 is a diagram showing an example of a ceiling plan created in the embodiment. FIG. 4 is a diagram showing an example of an elevation view created in the embodiment. FIG. 5 is a flowchart showing the operation of the embodiment.

The renewal support system of the present embodiment is configured to select a new appliance that can be installed in place of the existing appliance installed in the building. That is, the renewal here means replacing the existing equipment with a new one. In this embodiment, the existing instrument is estimated based on the three-dimensional spatial information received by the renewal support system from the measuring device.

As shown in FIG. 1, the renewal support system 10 includes an input interface 11, a processing unit 12, and an output interface 13. The input interface 11 receives the three-dimensional spatial information measured by the measuring device 20. The processing unit 12 includes a processor that executes a program. The renewal support system 10 can be realized by a single computer. Further, the renewal support system 10 may be built on a server that communicates with the terminal device through a telecommunication line. The telecommunication line may be either a WAN (Wide Area Network) or a LAN (Local Area Network), and may include a public network such as a mobile communication network.

When the renewal support system 10 is built on the server, the renewal support system 10 can be provided to the user as SaaS (Software As A Service) or PaaS (Platform As A Service). In this case, since the renewal support system 10 can be used by connecting the terminal device serving as the client of the server to the telecommunication line, the place of utilization of the renewal support system 10 is expanded. Further, if the renewal support system 10 is built on the server, a plurality of users can share the renewal support system 10. Therefore, it is possible to suppress an increase in the introduction cost as compared with the case where each of the plurality of users introduces the renewal support system 10.

When the renewal support system 10 is constructed on the server, the measuring device 20 is connected to the terminal device, and the three-dimensional spatial information from the measuring device 20 is received by the server through the terminal device. Further, the terminal device receives the output created by the renewal support system 10. The terminal device to which the measuring device 20 is connected and the terminal device that receives the output of the renewal support system 10 do not have to be the same terminal device. The server is not limited to one computer, and may be composed of a plurality of computers. Further, the server may be a cloud computing system.

The program is written in a ROM (Read Only Memory) built in the computer, or may be provided by a computer-readable recording medium such as an optical disk, a hard disk device, or an external memory device. The program may also be provided to the computer through a telecommunication line such as the Internet or a mobile telephone network. When the processor executes the program, the program is written to the computer's Random Access Memory (RAM) or rewritable non-volatile memory.

In the following, the renewal support system 10 realized by a single computer will be described as an example. In addition to the measuring device 20, an input device 21 operated by the user is connected to the input interface 11. In FIG. 1, the measuring device 20 and the input device 21 are connected to a single input interface 11 for simplification, but in reality, the measuring device 20 and the input device 21 are different input interfaces 11. Connected to. An output device 22 that presents information to the user is connected to the output interface 13. The input device 21 assumes, for example, a keyboard and an operating device, and the output device 22 assumes, for example, a monitor device. The monitoring device is selected from a liquid crystal display, an organic EL display (EL: Electroluminescence), a CRT (Cathode Ray Tube), and the like. Typical examples of the operation device are a mouse and a trackpad. Further, the touch panel in which the touch sensor is superimposed on the screen of the monitor device may be used for both the input device 21 and the output device 22.

Here, the building is an office building, and the space of one room, which is an office, is assumed as a predetermined space of the building. The fixture picks up the luminaire. The types of buildings, the types of predetermined spaces in buildings, and the types of appliances are not intended to limit the scope of application of this embodiment, but are taken up as an example of applying the renewal support system 10. For example, the building may be a commercial facility, a hall, a museum, a museum, a gymnasium, a stadium (particularly an indoor stadium), and the like. The space to be renewed differs depending on the type of building, but it is assumed that the space is surrounded by multiple surfaces. The fixtures to be renewed are not limited to lighting fixtures, but may be fan coil units, sprinklers, smoke detectors, and the like.

The measuring device 20 is preferably a three-dimensional laser scanner. The three-dimensional laser scanner is configured to emit a beam-shaped laser beam that projects a point-shaped spot onto an object into space and receive the laser beam reflected by the object. The measuring device 20 measures the distance from the emitted laser light and the received laser light to the object. Any one of the phase shift method, the time of flight method, and the triangulation method is mainly used for measuring the distance with this type of measuring device 20. Here, a phase shift type measuring device 20 is assumed. In the phase shift method, laser light with modulated intensity is emitted into space, and information corresponding to the phase difference between the received laser light and the emitted laser light is extracted.

The measuring device 20 radiates the intensity-modulated laser beam into the space at regular time intervals including a plurality of modulation cycles. Since the modulation period of the laser light is known, the distance to the object that reflects the laser light is calculated based on the phase difference between the emitted laser light and the received laser light. It is desirable that the measurement error with respect to the distance of the measuring device 20 is such that the error when measuring 10 [m] is smaller than 1 [mm].

Further, as shown in FIG. 2A, the measuring device 20 includes a measuring unit 201 that rotates around an axis Ax1 intersecting an installed surface (usually a floor surface). The measuring unit 201 scans the laser beam around the axis Ax2 along the installed surface. That is, if the surface on which the measuring unit 201 rotates is likened to the equatorial plane, it can be said that the measuring unit 201 scans the laser beam on the meridian. Therefore, the direction in which the measuring device 20 irradiates the laser beam is represented by a combination of an angle corresponding to longitude and an angle corresponding to latitude. The angle corresponding to the longitude is determined as an angle with respect to the reference direction determined for the measuring device 20, and the angle corresponding to the latitude is determined as an angle with respect to the reference plane along the floor surface of the measuring unit 201. The angle corresponding to longitude is usually the angle in the horizontal plane, and the angle corresponding to latitude is usually the angle in the vertical plane (the plane orthogonal to the horizontal plane, that is, the plane including the direction of gravity).

For example, as shown in FIG. 2B, when the angle at which the measuring unit 201 is rotated (angle corresponding to longitude) is φ and the angle at which the laser beam is scanned (angle corresponding to latitude) is θ, the measuring device 20 Assume that the measured distance is λ. The z-axis of FIG. 2B corresponds to the axis Ax1 of FIG. 2A. In this case, the position of the portion P1 that reflects the laser beam on the object is represented by a coordinate value in the form of (λ, θ, φ) using the polar coordinate system (spherical coordinate system) defined in the measuring device 20. In FIG. 2B, the angle θ is based on the vertical direction. The angle θ and the angle φ are measured with respect to the reference set in the measuring device 20, and the distance λ is measured by the above-mentioned principle. That is, the measuring device 20 measures the coordinate values (λ, θ, φ) as three-dimensional spatial information for the spatial region around almost the entire circumference. However, the area around the measuring device 20 on the surface on which the measuring device 20 is installed is a blind spot and is not subject to measurement.

The measuring unit 201 of the measuring device 20 includes an encoder that outputs information on each of the angle θ and the angle φ. Therefore, the resolution (unit angle) of each of the angle θ and the angle φ is determined by the resolution of the encoder. Assuming that the unit angle of the angle θ is Δθ and the unit angle of the angle φ is Δφ, the measuring device 20 measures the distance λ to the object at intervals of the unit angle Δθ of the angle θ, and the unit angle Δφ of the angle φ. Measure at intervals of.

In the following, the part where the coordinate values (λ, θ, φ) of the object are obtained will be referred to as the “measurement point”. The measurement point corresponds to a spot of laser light projected on the surface of the object. The measurement point corresponds to the site P1 in FIGS. 2A and 2B. The measurement points are obtained discretely with respect to the angle θ at intervals of the unit angle Δθ, and are obtained discretely with respect to the angle φ at intervals of the unit angle Δφ. It is desirable that the unit angle Δθ for the angle θ and the unit angle Δφ for the angle φ are smaller than, for example, 0.01 degrees.

By the way, assuming that the unit angle Δθ and the unit angle Δφ are 0.01 degrees in the measuring device 20, about 1 billion measurement points can be obtained around the measuring device 20. When many measurement points are to be calculated in this way, the amount of calculation in the processing unit 12 becomes very large. Therefore, it is desirable to reduce the number of measurement points in the processing unit 12.

Here, the object to be measured by the measuring device 20 is one room. Therefore, for example, the processing unit 12 divides the virtual space corresponding to the internal space of the room into a large number of voxels, and extracts voxels containing a predetermined number or more measurement points. Further, the processing unit 12 obtains a representative coordinate value for each voxel using the coordinate value of the measurement point included in the extracted voxel, and uses the obtained coordinate value as the coordinate value of the measurement point. By performing this process, the number of measurement points is the number of voxels including a predetermined number or more of measurement points, and the number of measurement points can be reduced. The size of the voxel is determined so that a plurality of measurement points are included and the required dimensional accuracy (for example, dimensional accuracy of 1 [cm] or less) can be obtained. The processing unit 12 performs pretreatment using a relatively large voxel for the entire space, extracts a portion of interest in the space using the results obtained in the pretreatment, and has a relatively small voxel for the portion of interest. You may perform the process using.

The representative coordinate value of the measurement point for each voxel is, for example, the value of the center of gravity of the measurement point included in the voxel. Further, the processing unit 12 obtains the median or mode for each coordinate component from the measurement points included in the voxel, and obtains the obtained median or mode as the coordinate component of the representative coordinate value of the measurement point for each voxel. May be. These values are examples, and the representative coordinate values of the measurement points for each voxel may be other values.

As described above, the coordinate values of the measurement points obtained by the measuring device 20 are the coordinates of the polar coordinate system represented by the angles θ and φ indicating the direction in which the measuring unit 201 emits the laser beam and the distance λ to the object. The value. That is, the measurement point obtained by the measuring device 20 is represented by the coordinate value of the polar coordinate system in which the origin is determined with reference to the measuring device 20.

On the other hand, the shape of voxels is generally a cube or a rectangular parallelepiped. Therefore, in order to distinguish whether or not a measurement point is included in a voxel, it is desirable that the measurement point is represented by a Cartesian coordinate system and the range of the voxel is represented by the same Cartesian coordinate system. Also, the shape of a room is often represented by the orientation and dimensions of a plurality of surfaces surrounding the room. From this point as well, it is desirable that the measurement points are represented by the coordinate values of the Cartesian coordinate system. Here, the plurality of surfaces surrounding the room are, for example, a floor surface, a ceiling surface, and a wall surface.

To convert the coordinate values of the polar coordinate system (λ, θ, φ) to the coordinate values of the Cartesian coordinate system (x, y, z), the translational displacement and rotation angle of the polar coordinate system with respect to the Cartesian coordinate system must be determined. It doesn't become. For the sake of simplicity, it is assumed here that the polar coordinate system is not rotated with respect to the Cartesian coordinate system and the translational displacement of the polar coordinate system with respect to the Cartesian coordinate system is represented by (x0, y0, z0). do. Under this condition, the following relationship holds.
x−x0 ＝ λsinθcosφ
y−y0 = λsinθsinφ
z-z0 = λcosφ
The coordinate values (λ, θ, φ) of the polar coordinate system of all the measurement points measured by the measuring device 20 are converted into the coordinate values (x, y, z) of the Cartesian coordinate system according to the above-mentioned relationship, and are represented for each voxel. The coordinate value of is obtained. The processing unit 12 excludes voxels that do not include measurement points from the processing target. In the following, points represented by representative coordinate values for each voxel are treated as measurement points. Therefore, in the following description, the measurement points are distributed at intervals according to the voxel size.

By the way, the plurality of surfaces surrounding the room are often flat surfaces. Further, the floor surface and the wall surface, two adjacent wall surfaces among the plurality of wall surfaces, the ceiling surface and the wall surface, and the like are often formed at right angles to each other. However, each of the floor surface, ceiling surface, and wall surface may be provided with steps, recesses, protrusions, and the like. In addition, the ceiling surface includes a one-sided ceiling that is inclined in one direction, and a roof-shaped or dome-shaped ceiling whose central portion is higher than the peripheral portion. Here, since an office is assumed as a space of a building, as a typical example, it is assumed that the floor surface is a flat surface and the ceiling surface is a flat surface substantially parallel to the floor surface. Further, it is assumed that the wall surface of the room has four surfaces, each of which is a flat surface.

The processing unit 12 has a function of grasping the dimensions of the room by using a plurality of measurement points. In other words, the processing unit 12 extracts a plurality of measurement points belonging to each of the plurality of surfaces surrounding the room, and uses a plurality of measurement points belonging to each of the plurality of surfaces surrounding the room. Find the position and size of each surface. Specifically, the processing unit 12 extracts a plurality of measurement points corresponding to each of the floor surface, the ceiling surface, and the four wall surfaces from the plurality of measurement points, and uses the extracted measurement points to extract the floor surface, the ceiling surface, and 4 The mathematical formulas representing each of the three wall surfaces are obtained, and the positions and sizes of the floor surface, the ceiling surface, and the four wall surfaces are obtained by these mathematical formulas.

As a method of associating a plurality of measurement points with the floor surface, the ceiling surface, and each of the four wall surfaces, there are a method by a user operation and a method automatically performed by the processing unit 12. The method automatically performed by the processing unit 12 is to perform clustering of measurement points based on information such as the orientation of the surface obtained from a plurality of measurement points and the position of the measurement points, and set the measurement points divided into clusters on the floor. This is a method of associating each of the surface, ceiling surface, and four wall surfaces.

On the other hand, in the method by the user's operation, the image of the room is displayed on the output device 22, and the area corresponding to each of the floor surface, the ceiling surface, and the four wall surfaces in the image displayed on the output device 22 is input to the input device. 21 is a method specified by the user. The image displayed on the output device 22 is an image in which the reflection intensity of the laser light radiated into the space by the measuring device 20 is used as a pixel value, or a monochrome image or a color image taken separately from the irradiation of the laser light from the measuring device 20. It is an image in which measurement points are associated with. The screen area is designated through the input device 21.

When a plurality of measurement points corresponding to each of the floor surface, the ceiling surface, and the four wall surfaces are obtained, a mathematical formula representing each of the floor surface, the ceiling surface, and the four wall surfaces is obtained. Generally, in a Cartesian coordinate system, one plane can be represented by the mathematical formula ax + by + cz + d = 0. That is, one plane is determined by the combination of the values of the coefficients a, b, c, and d. However, since the coordinate values of the measurement points measured by the measuring device 20 may include an error, when the coordinate values of a plurality of measurement points presumed to belong to a single plane are substituted into the above formula. , The values of the coefficients a, b, c, and d do not always match at all the measurement points. Since the coordinate values of the measurement points to be assigned to the formula are the representative coordinate values obtained for each voxel, it is presumed that the error is reduced, but there is still a possibility that an error will occur. Therefore, the processing unit 12 determines the combination of the values of the coefficients a, b, c, and d so as to relatively increase the possibility of representing the plane surrounding the room by performing statistical processing on the measurement points. do.

Statistical processing to determine a mathematical formula representing a specific plane using multiple measurement points presumed to belong to a specific plane includes processing using all of the multiple measurement points and some of the multiple measurement points. There are processes that use measurement points. In the process using the entire plurality of measurement points, there are cases where only an abnormal value among the plurality of measurement points is excluded, and cases where a plurality of measurement points are weighted.

The process of determining a mathematical expression representing a specific plane by excluding only abnormal values from a plurality of measurement points corresponds to, for example, the least squares method. In the least squares method, the combination of the values of the coefficients a, b, c, and d is determined so that the square error for a plurality of measurement points is minimized. Further, the process of weighting a plurality of measurement points to determine a mathematical expression representing a specific plane corresponds to, for example, the M estimation method. In this type of processing, an error with respect to a plane assumed as a specific plane is evaluated, and weighting is performed so that the larger the error, the smaller the contribution of the measurement point. Therefore, the mathematical formula representing the plane is determined mainly based on the measurement points with small error, and the robustness to outliers is higher than that of the least squares method.

In a process using some measurement points among a plurality of measurement points, generally, four or more measurement points are randomly extracted, and a mathematical formula representing a plane is obtained using the extracted measurement points. A predetermined error range is defined for the plane represented by the obtained mathematical formula, and when a plane having the maximum number of measurement points included in the error range is obtained, it is presumed to be the plane to be obtained. Alternatively, when a plane having the minimum median of the square error of the measurement points is obtained instead of the number of measurement points included in the error range, it is presumed to be the plane obtained by this plane.

As described above, when calculating the formulas representing a plurality of surfaces, outliers or outliers are excluded. Therefore, when calculating the formulas for the surfaces, the measurement points corresponding to the objects installed on the surfaces are excluded. It is possible to find a mathematical formula that represents a surface. For example, when a wiring device such as a switch or an outlet is arranged on the wall surface, it is possible to exclude the measurement point corresponding to the wiring device from the measurement points for obtaining the mathematical formulas representing each of the four wall surfaces. Similarly, when the luminaire is arranged on the ceiling surface, it is possible to exclude the measurement point corresponding to the luminaire from the measurement points for obtaining the mathematical formula representing the ceiling surface.

After obtaining a mathematical formula representing each of the plurality of surfaces, the processing unit 12 associates each of the mathematical formulas with the floor surface, the ceiling surface, and the four wall surfaces. Here, for the sake of simplicity, it is assumed that the Cartesian coordinate system is defined so that the floor and ceiling surfaces are parallel to the xy plane and the four wall surfaces are parallel to the xz plane or the yz plane. .. Under the conditions assumed in this way, the mathematical formulas representing the floor surface and the ceiling surface are in a format that does not include the variable z, and the mathematical formulas that represent each of the plurality of wall surfaces include either the variable x or the variable y. It is a format that does not include. Further, since the ceiling surface is higher than the floor surface, if the upward direction in the z-axis direction is a positive direction, it can be said that the one having the larger coefficient d corresponds to the ceiling surface among the mathematical formulas that do not include the variable z. Similarly, the position of the wall surface in the Cartesian coordinate system is also specified.

When the mathematical formulas representing the floor surface, the ceiling surface, and the four wall surfaces are determined, the processing unit 12 finds the intersection line where the two adjacent surfaces intersect, and finds the intersection point of the two intersection lines intersecting each other. Determine the range of the ceiling surface and the four wall surfaces. Here, for the sake of simplicity, it is assumed that the room is surrounded by six faces and the adjacent faces are orthogonal to each other, but such an assumption may not hold in an actual room. .. However, even when such an assumption does not hold, it is possible to obtain a mathematical formula representing each surface. Further, when a mathematical formula representing a surface is obtained, the mathematical formula can be associated with a surface in real space, and the range of the surface can be determined.

Since the renewal support system 10 of the present embodiment is supposed to be replaced with a new lighting fixture instead of the existing lighting fixture, the processing unit 12 determines the range of the six surfaces surrounding the room and then replaces the existing lighting fixture with a new lighting fixture. Performs processing to identify existing lighting fixtures. The luminaire may be installed on a wall surface or a floor surface, but here, a case where a large number of luminaires are arranged on the ceiling surface will be described as an example. That is, a case where the target surface on which the existing lighting equipment is installed is the ceiling surface will be described. The ceiling surface is specified by the coordinate values of the measurement points and the mathematical formula as described above.

Here, in the lighting fixtures installed on the ceiling surface of the office, the projected shape on the ceiling surface is often a quadrangular shape or a circular shape. In addition, there are many forms in which this type of luminaire is installed on the ceiling surface, an embedded type in which at least a part of the luminaire is embedded in the ceiling surface, and an exposed type in which the entire luminaire is exposed from the ceiling surface. In this embodiment, a lighting fixture whose entire ceiling surface is a light emitting surface and a lighting fixture whose light emitting surface is flush with the ceiling surface are not targeted.

Of the information obtained from the measuring device 20, the information that can be used by the processing unit 12 to identify the lighting fixture is the coordinate values of the measurement points and the image information of the room, and the processing unit 12 uses these information. And it is possible to extract the shape and dimensions of the luminaire. In order to extract the shape and dimensions of the luminaire, the processing unit 12 performs a process of extracting the measurement points in the range corresponding to the luminaire among the measurement points. An empirical rule is applied to this process that the luminaire installed on the ceiling surface includes at least one of a portion located below the ceiling surface and a portion located above the ceiling surface. In the space surrounded by the four wall surfaces, the processing unit 12 is provided with measurement points corresponding to voxels separated from the ceiling surface within a predetermined distance above and below the ceiling surface on the ceiling surface. Extract as a measurement point corresponding to the object. As an example, the predetermined distance may be about 20 [cm] to 50 [cm].

Here, since it is assumed that the ceiling surface is parallel to the xy plane, the processing unit 12 uses the value of the z coordinate of the measurement point to extract the measurement point that is likely to correspond to the lighting fixture on the ceiling surface. It is possible. For example, a measurement point in which the difference between the coefficient d of the mathematical formula representing the ceiling surface and the value of the z coordinate is larger than 2 [mm] is extracted as a measurement point having a high possibility of corresponding to a lighting fixture. If a luminaire is installed on the ceiling surface, it is conceivable that there are many measurement points that satisfy the condition that the difference between the coefficient d and the value of the z coordinate is larger than 2 [mm]. Therefore, the processing unit 12 makes a set of measurement points by grouping the measurement points whose distances along the xy plane are adjacent to the size of the voxel among the plurality of measurement points satisfying the conditions. A set of measurement points may correspond to a luminaire. In addition, if a plurality of lighting fixtures are installed on the ceiling surface, a plurality of sets of measurement points are formed as a group.

By the way, the existing luminaire installed on the ceiling surface is likely to be one of a plurality of types of luminaires manufactured in the past. For lighting fixtures manufactured in the past (hereinafter referred to as "products"), specifications such as shape, dimensions, and light distribution characteristics are known for the product number. Known information about the product can be obtained from a server connected to a telecommunications line such as the Internet. Further, the renewal support system 10 may include a storage unit 14 for storing known information about the product. The processing unit 12 performs pattern matching in which measurement points satisfying the above conditions are compared with the shape and dimensions of the product. Specifically, a set of measurement points satisfying the above-mentioned conditions is compared with each of a plurality of types of products to evaluate the error, and the product having a small error is selected as a candidate for an existing lighting fixture.

Here, if the error is evaluated using the three-dimensional coordinate values, the processing load of the processing unit 12 becomes large. Therefore, the processing unit 12 determines the shape of the product in a state where the measurement points are projected on an appropriate projection surface. It is desirable to collate. For example, the processing unit 12 projects a set of measurement points satisfying the above conditions on the ceiling surface, collates it with a drawing showing the shape of the product, and determines the degree of error between the set of measurement points and the shape of the product. evaluate.

Since the drawing showing the shape of the product is collated with the set of measurement points projected on the ceiling surface, a bottom view showing the shape of the lighting fixture projected on the ceiling surface is desirable. Further, as the error, for example, in the drawing showing the shape of the product, the ratio of the portions that do not overlap each other when the set of measurement points is superimposed in the area of the product is used. In the evaluation of the error, the ratio of the parts that do not overlap with each other is compared with the reference value, and if the error is smaller than the reference value, it may be considered that the condition is satisfied. The reference value is set to, for example, 5%. Since the product satisfying the conditions is likely to be an existing lighting fixture, the processing unit 12 selects the product satisfying the conditions as a candidate for the existing lighting fixture.

Since the coordinate values of the measurement points are based on the information measured by the measuring device 20 installed below the ceiling surface, they correspond to the information that a person perceives when the ceiling surface is viewed from below. Therefore, it is easy to project a set of measurement points on the ceiling surface, but it is not always easy to project it on one surface intersecting the ceiling surface. For example, in an embedded lighting fixture such as a downlight, it is not always easy to grasp the shape of the inside of the reflector from the distribution of measurement points with the lamp attached. However, in the case of an exposed luminaire, it is easy to project a set of measurement points corresponding to the luminaire onto one surface orthogonal to the ceiling surface for a portion exposed from the ceiling surface. Therefore, the exposed type luminaire can be collated with the drawing of the product in a state of being projected not only on the ceiling surface but also on other surfaces.

By collating the set of measurement points with the drawing of the product, candidates for existing lighting fixtures can be obtained, but the candidates are not always uniquely determined. That is, when a set of measurement points is collated with a product drawing, a plurality of candidates may be extracted for an existing luminaire. This is because information such as the shape of the reflector and the power consumption (wattage) of the lamp is not taken into consideration when only the information projected on the ceiling surface is used. Also, even if the shape of the reflector and the power consumption of the lamp are the same, the functions may differ due to minor changes in the product, etc., and there are multiple types of existing lighting fixtures with the same shape and dimensions. There is.

Therefore, in order to identify the existing luminaire, it is desirable that the processing unit 12 specifies the existing luminaire by combining supplementary information other than the information obtained in the state where the measurement point is projected on the ceiling surface. Supplementary information includes the z-coordinate value at the measurement point in the range corresponding to the luminaire, the power consumption of the lamp, the specifications of the operating device that indicates the lighting state to the luminaire, the illuminance measured directly under the luminaire, and the distribution of the illuminance. There are light distribution characteristics obtained from.

Here, the supplementary information is interactively input using the input device 21 and the output device 22. For example, when the processing unit 12 obtains a candidate for an existing lighting fixture based on the coordinate values of the measurement points, the processing unit 12 displays an image of a product that is a candidate for the existing lighting fixture on the screen of the output device 22 and inputs supplementary information. Opens a window prompting for input from the input device 21. The window is configured to accept input of supplementary information such as lamp power consumption, operating device specifications, and illuminance.

In this state, if the supplementary information in the range recognized by the user is input from the window, the processing unit 12 receives the supplementary information and performs a process of narrowing down the candidates of the existing lighting equipment. Here, the specifications of the operating device mean a configuration in which only lighting and extinguishing are performed, a configuration in which dimming is possible, a configuration in which color adjustment is possible, and the like. Since an image of a product that is a candidate for an existing lighting fixture is displayed on the screen of the output device 22, when a plurality of products are displayed as candidates, the existing product is based on the information visually obtained by the user. You may narrow down the candidates for lighting equipment.

After the user confirms the product corresponding to the existing luminaire, when the user performs the confirmation operation using the input device 21, the processing unit 12 confirms the position of the existing luminaire obtained from the measurement point. Associate the product. If you have a blueprint for a room and the blueprint contains information that identifies an existing lighting fixture, you can use this information as supplementary information to get a product that corresponds to the existing lighting fixture more accurately. It is possible to confirm. Once the product for the existing luminaire is confirmed, the product is identified by the part number.

Here, since it is assumed that a plurality of lighting fixtures are arranged on the ceiling surface, it is necessary to associate a fixed product with each of the plurality of existing lighting fixtures. When associating a confirmed product with each of the plurality of existing lighting fixtures arranged on the ceiling surface, the processing unit 12 displays a drawing of the ceiling surface on the screen of the output device 22, and the plurality of existing lighting fixtures are displayed. Display each location where it is placed.

The range of the ceiling surface is determined based on the coordinate values of the measurement points and the mathematical formula. Therefore, the processing unit 12 displays the drawing of the ceiling surface on the screen of the output device 22 by using the information on the dimensions and shape of the ceiling surface. Further, since the shape (specification information) of each of the plurality of existing lighting fixtures projected onto the ceiling surface and the positions (arrangement information) of the plurality of existing lighting fixtures are determined, the processing unit 12 performs these. Based on the information in, create a drawing in which multiple existing lighting fixtures are arranged on the drawing of the ceiling surface. In short, the processing unit 12 arranges the existing luminaire on the ceiling surface, which is the target surface, based on the information on the specifications of the existing luminaire and the information on the arrangement.

When the product is associated with a plurality of lighting fixtures, the locations corresponding to the existing lighting fixtures may be collectively specified, and the product corresponding to the designated existing lighting fixtures may be instructed from the input device 21. To specify the locations corresponding to existing luminaires at once, for example, hold down the "Ctrl" key on the keyboard and move the pointer to the area corresponding to each of the multiple luminaires, which is equivalent to a mouse click. Just do. If multiple types of products are mixed in multiple lighting fixtures placed on the ceiling surface, specify the location corresponding to the existing lighting fixtures for each product, and then switch to the existing lighting fixtures for each product. May be associated with each other.

When the product corresponding to the existing luminaire is determined, the range of the set of measurement points corresponding to the existing luminaire is determined, and the product specifications are also determined. In this way, information on the arrangement and specifications of the existing lighting fixtures is extracted based on the spatial information measured by the measuring device 20.

The processing unit 12 extracts information on the arrangement and specifications of the existing lighting fixture, and then performs a process of selecting a new lighting fixture that can be installed in place of the existing lighting fixture. Once the specifications of the existing luminaire determine the use of the existing luminaire, it will be possible to list candidates for new luminaires to be installed in place of the existing luminaire. Actually, the renewal support system 10 includes a storage unit 14 in which a new lighting fixture that can be installed in place of the existing lighting fixture is registered in advance. In the storage unit 14, new lighting fixtures that can be installed in place of the existing lighting fixtures are associated with each other by the product number.

When the processing unit 12 extracts information on the arrangement and specifications of the existing lighting equipment, the processing unit 12 can use the information registered in the storage unit 14 to install a new lighting equipment candidate in place of the product corresponding to the existing lighting equipment. Select. When the processing unit 12 selects a candidate for a new lighting fixture, the processing unit 12 extracts at least specification information based on the product number of the product that is a candidate for the new lighting fixture. The extracted product specification information is output to the output device 22 via the output interface 13. The information output to the output device 22 may include not only the specifications of the new lighting equipment but also information selected from a design drawing, an external photograph or an external drawing, a description of features, and the like.

Depending on the specifications of the existing luminaire, only one type of candidate can be selected for the new luminaire, but in principle, the storage unit 14 is a new luminaire that can be used in place of a product manufactured in the past. Multiple types of candidates are registered for the fixture. For example, if the existing luminaire is a product that only turns on and off, as a new luminaire, even if the product has the same dimensions as the existing luminaire, the product that only turns on and off, the dimming function A product having a color matching function and a product having a color matching function may be registered in the storage unit 14. Further, as a new lighting fixture, a lighting fixture having a light distribution characteristic different from that of the existing lighting fixture, a lighting fixture having a different light output from the existing lighting fixture, or the like may be registered in the storage unit 14.

Here, the light distribution characteristics and the light output are adjusted according to the types and characteristics of the elements included in the luminaire. The types of elements include lamps, reflectors, louvers, and translucent covers, and luminaires may or may not have louvers, translucent covers, and the like. Further, the characteristics of the element mean the type of the lamp (including the light emitting principle, the shape, and the power consumption), the shape and the reflectance in the case of the reflector and the louver, and the shape and the transmittance in the case of the translucent cover. If at least one of the light distribution characteristics and the light output is different from the existing luminaire, it may be possible to install the new luminaire in a place different from the existing luminaire.

When the processing unit 12 selects a plurality of candidates for the new luminaire, the processing unit 12 not only extracts the specification information based on the part number of the new luminaire, but also extracts the external photograph or the external view together. It is desirable to do. When this information is output to the output device 22 via the output interface 13, the user requests from a plurality of candidates by checking the external photograph or the external view displayed on the screen of the output device 22. It is possible to choose a lighting fixture.

When selecting a new luminaire candidate to replace an existing luminaire, various conditions may be added as well as the purpose of replacing the luminaire due to deterioration of the existing luminaire. The conditions to be added include reduction of power consumption, improvement of light output, change of light distribution, addition of functions such as dimming or toning, change of appearance, change of arrangement, cost restriction and the like.

As a condition for reducing power consumption or improving light output, new luminaires are required to have higher efficiency than existing luminaires. Further, as a condition for realizing the addition of functions, the new lighting fixture is required to have more functions than the existing lighting fixture. Given cost constraints, new luminaires are selected, for example, luminaires with the lowest initial cost among luminaires that are as efficient and functional as existing luminaires. The initial cost here includes the cost required for the equipment and the cost required for the construction when installing a new lighting fixture.

Therefore, the processing unit 12 is configured to accept any one of the following three condition groups as a condition for selecting a new lighting fixture from a plurality of candidates. The three conditions are that the efficiency is higher than that of the existing luminaire, that the luminaire has more functions than the existing luminaire, and that the luminaire has the same efficiency and function as the existing luminaire. The condition is that the initial cost is the minimum.

When the conditions for selecting a new luminaire include a change in light distribution, a change in appearance, a change in arrangement, etc., it is necessary to reflect the purpose and intention of the user (owner). Therefore, the renewal support system 10 has a function of accepting search conditions and narrowing down new lighting fixtures. However, this function is a function as a database system for extracting lighting fixtures that meet the conditions.

The processing unit 12 replaces each of the plurality of existing lighting fixtures with a new selected lighting fixture in a state where the drawing of the ceiling surface is displayed on the screen of the output device 22. When the arrangement of the plurality of existing luminaires is not changed, the processing unit 12 only replaces each of the plurality of existing luminaires with a new luminaire.

By the way, similarly to the ceiling surface, the processing unit 12 has information on the three-dimensional shape of the room because the arrangement and dimensions of the floor surface and the four wall surfaces are obtained. In addition, the processing unit 12 holds information on the specifications and arrangement of the existing lighting fixture and the new lighting fixture. Using this information, the processing unit 12 uses this information to determine a state in which a plurality of existing lighting fixtures and a plurality of new lighting fixtures are arranged, such as a ceiling plan as shown in FIG. 3 and a three-dimensional drawing as shown in FIG. It has a function to create drawing information. Further, the processing unit 12 has a function of associating the specifications of the lighting fixture with each of the plurality of lighting fixtures included in the drawing. FIG. 3 shows an example of arranging the luminaire 40 on the ceiling surface 32, and FIG. 4 shows an example of the arrangement of the luminaire 40 on the ceiling surface 32 and the relationship between the floor surface 31 and the ceiling surface 32 and the wall surface 33. There is.

The renewal support system 10 has a function of extracting a surface surrounding a room based on spatial information received from the measuring device 20, and a function of specifying specifications and arrangements of a plurality of existing lighting fixtures. In addition, the renewal support system 10 has a function of determining the specifications and arrangement of a plurality of new lighting fixtures that can replace the plurality of existing lighting fixtures. Further, the renewal support system 10 has a function of creating drawing information.

It is desirable that the information in the drawings includes information such as reflectance as well as the arrangement and dimensions of each of the floor surface, ceiling surface, and four wall surfaces. The reflectance changes over time due to dirt on the surface, and the office is also affected by the reflection of furniture. Therefore, in a general office, values such as a floor surface reflectance of 10%, a ceiling surface reflectance of 70%, and a wall surface reflectance of 50% are used. Further, since the reflectance differs depending on the material or finish of the surface, a standard value according to the material or finish of the surface can be used if it is necessary to consider the material or finish.

By the way, using the information created by the renewal support system 10, it is possible to simulate the light environment of the room. The simulation of the light environment can be performed with an existing simulator. The existing simulator may be realized by a program running on a computer such as a personal computer. For example, a simulator of a light environment can be realized by executing DIALux (registered trademark), which is a lighting design application program developed by DIAL of Germany. However, the renewal support system 10 may be configured to perform a simulation of the optical environment. When the simulation of the optical environment is performed by the existing simulator, the processing unit 12 of the renewal support system 10 outputs the simulation information to the simulator through the output interface 13. The information for simulation preferably includes information on the specifications and arrangement of luminaires, the shape and dimensions of the room, and the attributes of the room related to the light environment (particularly the reflectance of the surface).

When the existing simulator simulates the optical environment, the simulation result is displayed on the screen of the device according to the configuration of the existing simulator. The device for displaying the simulation result is selected from a monitor device attached to an existing simulator, an output device 22 of the renewal support system 10, a monitor device attached to a terminal device capable of communicating with the simulator, and the like. Further, when the renewal support system 10 simulates the optical environment, the image information obtained by the simulation is displayed on the screen of the output device 22. The image information in the simulation is information for displaying, for example, the illuminance distribution in the room with the lighting equipment turned on, superimposed on the image of the room displayed on the screen. Regardless of whether the simulation of the light environment is performed by the existing simulator or the renewal support system 10, it is desirable to simulate the light environment for both the existing lighting equipment and the new lighting equipment. Once the results of the simulation of the lighting environment of both the existing lighting fixture and the new lighting fixture are obtained, the user can visually compare the current lighting environment with the new lighting environment.

The operation of the renewal support system 10 described above will be briefly described with reference to FIG. In the renewal support method adopted by the renewal support system 10, the input interface 11 receives three-dimensional spatial information about a predetermined space of the building from the measuring device 20 (S11). Next, the processing unit 12 extracts specification information and arrangement information for existing lighting fixtures installed in a predetermined space based on the three-dimensional spatial information received by the input interface 11 (S12, S13). In step S12, the processing unit 12 extracts a set of measurement points corresponding to the existing luminaire using the measurement points. Further, in step S13, the processing unit 12 determines the product corresponding to the existing luminaire by using the information of the past product with respect to the set of measurement points corresponding to the existing luminaire. After that, the processing unit 12 selects a new luminaire that can be installed in a predetermined space instead of the existing luminaire from a plurality of candidate luminaires (S14). When selecting a new luminaire to be installed in place of the existing luminaire, the conditions obtained through the input interface 11 can be added to narrow down the luminaire to be selected. When a new luminaire is selected, the processing unit 12 outputs at least specification information regarding the new luminaire through the output interface 13 (S15).

The processing unit 12 of the renewal support system 10 may have a function of obtaining an electricity charge when a new lighting fixture is used. In order to obtain the electricity rate when a new lighting device is used, information on the usage status of the existing lighting device and information on the unit price of the electricity rate are required. Therefore, the input interface 11 receives the lighting time of the existing lighting fixture and the unit price of the electricity charge from the input device 21. If the unit price of electricity is constant, the lighting time of the lighting equipment may be information on the length of time. On the other hand, if the unit price of electricity changes depending on the time zone and other conditions, the lighting time of the luminaire may include not only the length of time but also the information of the time when the lighting started and the time when the lighting was turned off. desirable.

Electricity charges for existing luminaires are calculated using this information. The lighting time does not necessarily have to be accurate, and it is sufficient to know the approximate usage status of the luminaire. If it is necessary to accurately measure the lighting time, the current sensor may be used to measure the current passing through the electric circuit that supplies power to the luminaire, and the measurement result may be recorded.

If the lighting time of the existing luminaire is known, the processing unit 12 can calculate the electricity charge when the new luminaire is lit in the same manner as the existing luminaire. When the unit price of electricity charges changes according to the time zone, the processing unit 12 calculates the electricity charges by applying the time when the existing lighting fixture is turned on and the time when the existing lighting fixture is turned off to the new lighting fixture. do. Electricity charges are calculated for a predetermined period such as 1 month, 6 months, and 1 year. The calculation result is displayed on the screen of the output device 22 through the output interface 13.

The electricity bill when using a new luminaire can be calculated after deciding on a new luminaire. On the other hand, when selecting a candidate for a new luminaire, the electricity rate when the new luminaire is used for use in the selection condition may be calculated.

In the above-mentioned renewal support system 10, the target surface is a ceiling surface, but the target surface may be a floor surface or a wall surface instead of the ceiling surface. When it is estimated that a set of measurement points corresponding to a luminaire is associated with a surface surrounding a room, the surface on which the set of measurement points estimated to correspond to the luminaire exists is set as the target surface. It is possible to perform the above-mentioned processing. That is, it is possible to identify the target surface on which the existing luminaire is installed and extract the arrangement and specifications of the existing luminaire on the target surface.

Further, in the above-mentioned renewal support system 10, in order to extract measurement points corresponding to the range of the lighting equipment, the processing unit 12 extracts measurement points away from the ceiling surface within a range of a predetermined distance from the ceiling surface. ing. As a method of extracting the measurement points corresponding to the range of the luminaire, the processing unit 12 may perform differentiation using the z-coordinates of the measurement points corresponding to the voxels within a range of a predetermined distance with respect to the ceiling surface. For example, the processing unit 12 may extract measurement points adjacent to the measurement points on the ceiling surface as candidates for measurement points corresponding to the edges of the luminaire among the measurement points whose z-coordinates change relatively significantly. ..

Specifically, the processing unit 12 calculates the magnitude of the gradient (corresponding to the differential value) based on the z-coordinates of a plurality of adjacent measurement points, and compares the magnitude of the gradient with an appropriate threshold value. It is separated into a small area and a relatively large area. Since it is estimated that the region with a relatively large gradient among the two regions contains the measurement points corresponding to the edges of the luminaire, for example, the region with a relatively large gradient is used as the outer shape of the past product. By superimposing and evaluating the degree of error, the area corresponding to the luminaire is extracted.

The operation of the renewal support system 10 described above is an operation when applied to a space in which a plurality of lighting fixtures are arranged, but the renewal support system 10 is applied to a space in which one lighting fixture is arranged. You can also. Even in the space where one luminaire is placed, it is possible to estimate the existing luminaire product based on the three-dimensional spatial information measured by the measuring device 20 and select a new luminaire candidate. It is possible.

The measuring device 20 may be a device that measures three-dimensional spatial information by a stereo image method instead of the three-dimensional laser scanner. Also, if there is a two-dimensional image of a three-dimensional space, information on the lens (focal distance) of the camera that captured the three-dimensional space, and information on the position of the camera in the three-dimensional space, it is based on the field of view of the camera. It is possible to obtain three-dimensional spatial information. Therefore, it is also possible to use a camera that projects a three-dimensional space in two dimensions as the measuring device 20. Since the renewal support system 10 creates information used for simulating the optical environment based on the spatial information received from the measuring device 20, it is desirable that the dimensional accuracy of the three-dimensional spatial information is high. However, if it is a simple simulation, the above-mentioned processing can be performed even with the three-dimensional spatial information extracted from the image taken by the camera.

The renewal support system 10 according to the present embodiment described above includes an input interface 11, a processing unit 12, and an output interface 13. The input interface 11 receives three-dimensional spatial information from the measuring device 20 with respect to a predetermined space of the building. The processing unit 12 extracts specification information and arrangement information based on the spatial information of the existing fixture (lighting fixture 40) installed in the predetermined space, and installs the existing fixture in the predetermined space instead of the existing fixture. Select a new device that can be used from multiple candidate devices. The output interface 13 outputs at least specification information about the new appliance.

The renewal support method according to the present embodiment has the following steps. That is, the first step is a step of receiving three-dimensional spatial information from the measuring device 20 with respect to a predetermined space of the building. The second step is a step of extracting specification information and arrangement information of an existing fixture (lighting fixture 40) installed in a predetermined space based on the spatial information. The third step is to select a new device that can be installed in a predetermined space instead of the existing device from a plurality of candidate devices. The fourth step is to output at least specification information for the new device.

The program according to the present embodiment is a program for causing the computer to function as the above-mentioned renewal support system 10, or a program for causing the computer to execute the above-mentioned renewal support method.

That is, since the specification information and the arrangement information of the existing instrument are extracted based on the three-dimensional spatial information measured by the measuring device 20, even if the existing instrument is unknown, it can be used instead of the existing instrument. It will be possible to select new equipment that can be used.

In the renewal support system 10 according to the present embodiment, the processing unit 12 extracts a plurality of surfaces (floor surface 31, ceiling surface 32, wall surface 33) surrounding a predetermined space (for example, a room) based on spatial information. do. Further, the processing unit 12 determines the position of the existing fixture on the target surface (for example, the ceiling surface 32) on which the existing fixture (lighting fixture 40) is installed among the plurality of surfaces, and provides information on the arrangement of the existing fixture. Extract as.

The renewal support system 10 extracts the position of the existing instrument on the target surface as information on the arrangement of the existing instrument based on the spatial information measured by the measuring device 20. Therefore, in order to extract the surface surrounding the predetermined space, it is possible to obtain information on the arrangement of existing instruments based on the spatial information measured by the measuring device 20.

The processing unit 12 estimates the shape of the existing fixture using the position and spatial information of the existing fixture (lighting fixture 40) on the target surface (for example, the ceiling surface 32), and based on the estimated shape of the fixture, the processing unit 12 estimates the shape of the existing fixture. It is desirable to extract specification information for existing appliances.

That is, since the information on the specifications of the existing instrument is extracted based on the shape of the existing instrument estimated from the spatial information measured by the measuring device 20, the specifications of the existing instrument can be narrowed down only by the spatial information.

It is desirable that the measuring device 20 is configured to obtain three-dimensional coordinate values of each of a large number of measurement points for at least the target surface among the plurality of surfaces. In this case, the processing unit 12 compares a set of measurement points, which is a group of a large number of measurement points, with each of a plurality of types of appliances (lighting fixtures 40) manufactured in the past to determine the degree of error. Products that are evaluated and whose error is smaller than the reference value may be candidates for existing equipment.

That is, by extracting a set of measurement points that satisfy the conditions of the instrument from a large number of measurement points and superimposing such a set of measurement points on the product of the instrument manufactured in the past to evaluate the error. , Products with small error can be extracted as candidates for existing equipment. Therefore, the existing instrument can be estimated based on the coordinate values of the measurement points obtained by the measurement by the measuring device 20.

It is desirable that the processing unit 12 accepts any of the following groups of a plurality of conditions as a condition for selecting a new fixture (lighting fixture 40) from a plurality of candidate fixtures. The group of conditions is that the efficiency is higher than that of the existing equipment, that the equipment has more functions than the existing equipment, and that the initial cost is the lowest among the equipment that has the same efficiency and function as the existing equipment. It is desirable that it is a group with the condition.

That is, since the condition for selecting a new appliance to be installed in place of the existing appliance is selected from a plurality of conditions, it is possible to select the new appliance according to the purpose of the renewal by the user (owner). In addition, when there are a large number of new equipment options, it is possible to narrow down according to the conditions.

It is desirable that the existing fixture and the new fixture are the lighting fixture 40.

That is, since the lighting fixture 40 has many types of products and the light environment created in the space differs depending on the selected product type, it is necessary to support the selection of a new lighting fixture 40 to be installed in place of the existing lighting fixture 40. Is useful.

It is desirable that the processing unit 12 simulates the light environment in which a new lighting fixture 40 is installed in a predetermined space, and outputs the image information obtained by the simulation through the output interface 13.

That is, by simulating the light environment with the new luminaire 40, it is possible to support the designer or user (owner) of the light environment in deciding whether or not to adopt the new luminaire 40. can.

It is desirable that the processing unit 12 is configured to output simulation information to a simulator that simulates the optical environment through the output interface 13. The information for simulation includes spatial information measured by the measuring device 20, information on the position of the new luminaire 40 in a predetermined space, and information on specifications including information on light distribution characteristics of the new luminaire 40. It is desirable to have. Further, it is desirable to have the simulator perform a simulation of the light environment in which a new lighting fixture 40 is installed in a predetermined space.

That is, since the renewal support system 10 outputs information for simulating the light environment by the lighting fixture 40, it is possible to simulate the light environment using the simulator. Therefore, the renewal support system 10 can be realized by a computer having a relatively low processing capacity because it is only necessary to create information for a simulator that simulates an optical environment.

The input interface 11 may be configured to receive the lighting time of the existing luminaire 40 in a predetermined space and the unit price of electricity charges. In this case, it is desirable that the processing unit 12 calculates the electricity charge of the new lighting fixture 40 in a predetermined period by using the lighting time and the unit price of the electricity charge, and outputs the calculation result through the output interface 13.

That is, since the electricity charge when the usage status of the existing lighting fixture 40 is applied to the new lighting fixture 40 is output, it is possible to know the operating cost when the new lighting fixture 40 is adopted.

The embodiments described above are only a part of various embodiments of the present invention. Further, the above-described embodiment can be changed in various ways depending on the design and the like as long as the object of the present invention can be achieved.

10 Renewal support system 11 Input interface 12 Processing unit 13 Output interface 20 Measuring device 31 Floor surface 32 Ceiling surface 33 Wall surface 40 Lighting equipment (equipment)

Claims (12)

Each of a plurality of measurement points belonging to a plurality of surfaces surrounding the predetermined space or the surface of an existing instrument installed on any one of the plurality of surfaces from the measuring device with respect to the predetermined space of the building. An input interface that receives 3D spatial information including 3D coordinate values of
With respect to the existing equipment installed in the predetermined space, based on the space information, the existing equipment on the target surface in which the existing equipment is installed among a plurality of surfaces surrounding the predetermined space. extracting information specification including information of the projected shape of the instrument, and the information of the arrangement including the information of the position of the existing instruments on the target surface, the existing instrument using information of the information and the arrangement of the specification And a processing unit that selects a new device that can be installed in the predetermined space in place of the existing device from a plurality of candidate devices.
A renewal support system characterized by having at least an output interface for outputting specification information for the new appliance. The processing unit
A plurality of surfaces surrounding the predetermined space are extracted based on the spatial information, and the position of the existing instrument on the target surface on which the existing instrument is installed among the plurality of surfaces is determined. The renewal support system according to claim 1, which is extracted as information on the arrangement of the appliances of the above. The processing unit
Of the plurality of surfaces, the surface on which a set of measurement points is present is set as the target surface, and the coordinate values of the representatives of the group of measurement points are set as the positions of the existing instruments on the target surface. The renewal support system according to claim 2. The measuring device is
It is configured to obtain three-dimensional spatial information including three-dimensional coordinate values of each of a large number of measurement points for at least the target surface among the plurality of surfaces.
The processing unit
The degree of error is evaluated by comparing a set of measurement points, which is a group of the large number of measurement points, with each of a plurality of types of instruments manufactured in the past.
Renewal support system according to claim 2 or 3, wherein the degree of the error is to select a smaller product than the reference value as a candidate of the existing instrument. The processing unit
As a condition for selecting the new device from the plurality of candidate devices,
The condition that the efficiency is higher than that of the existing equipment, the condition that the function is more than that of the existing equipment, and the condition that the initial cost is the lowest among the equipments having the same or higher efficiency and function as the existing equipment. The renewal support system according to any one of claims 1 to 4, wherein any one of the groups is received from an input device operated by a user through the input interface. The renewal support system according to any one of claims 1 to 5, wherein the existing fixture and the new fixture are an existing lighting fixture and a new lighting fixture. The processing unit
A simulation of the light environment in which the new lighting fixture is installed in the predetermined space is performed.
The renewal support system according to claim 6, wherein the image information obtained in the simulation is output through the output interface. The processing unit
It is configured to output simulation information to a simulator that simulates the optical environment through the output interface.
The information for the simulation is
The spatial information measured by the measuring device and
Information on the position of the new luminaire in the predetermined space and
The new lighting fixture has information on specifications including information on light distribution characteristics.
The renewal support system according to claim 6, wherein the simulator is made to perform a simulation of a light environment in a state where the new lighting fixture is installed in the predetermined space. The input interface is
Upon receiving the lighting time of the existing lighting fixture in the predetermined space and the unit price of the electricity charge,
The processing unit
The item according to any one of claims 6 to 8, wherein the electricity charge of the new lighting fixture in a predetermined period is calculated using the lighting time and the unit price of the electricity charge, and the calculation result is output through the output interface. Renewal support system. It is a renewal support method executed by the renewal support system.
Each of a plurality of measurement points belonging to a plurality of surfaces surrounding the predetermined space or the surface of an existing instrument installed on any one of the plurality of surfaces from the measuring device with respect to the predetermined space of the building. Steps to receive 3D spatial information including 3D coordinate values of
With respect to the existing equipment installed in the predetermined space, based on the space information, the existing equipment on the target surface on which the existing equipment is installed among a plurality of surfaces surrounding the predetermined space. information specification including information of the projected shape of the instrument, and extracts the information of the arrangement including the information of the position of the existing instruments on the target surface, the existing instrument using information of the information and the arrangement of the specification Steps to identify and
A step of selecting a new device that can be installed in the predetermined space in place of the existing device from a plurality of candidate devices, and
A renewal support method comprising at least a step of outputting specification information for the new device. A program for operating a computer as the renewal support system according to any one of claims 1 to 9. A program for causing a computer to execute the renewal support method according to claim 10.

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