Information processing program and information processing method

Abstract

To efficiently propose changes to the configuration of lighting fixtures in a building. [Solution] An information processing program according to an example of the present invention causes a computer to execute an estimation procedure, a selection procedure, and an output procedure. The estimation procedure estimates the condition of the room and the condition of the lighting fixtures installed in the room from an image of the room to be analyzed. The selection procedure selects replacement lighting fixtures based on the estimated condition of the room and the condition of the lighting fixtures, and conditions predetermined according to the use of the room. The output procedure outputs information about the selected lighting fixtures.

Description

Technical Field

[0001] The present disclosure relates to an information processing program and an information processing method.

Background Art

[0002] Conventionally, there is a technology for assisting the replacement of facilities installed in a building. For example, there has been proposed a technology that enables selection of a new device that can be used in place of an existing device even if the existing device is unknown.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art, there is room for improvement in efficiently proposing the content of changes when changing the configuration of lighting fixtures in a building.

[0005] Therefore, the present disclosure proposes an information processing program and an information processing method that can efficiently propose the content of changes when changing the configuration of lighting fixtures in a building.

Means for Solving the Problems

[0006] An information processing program according to an example of an embodiment causes a computer to execute an estimation procedure, a selection procedure, and an output procedure. The estimation procedure estimates the situation of a room and the situation of lighting fixtures installed in the room from an image of the room to be analyzed. The selection procedure selects lighting fixtures that are replacement candidates based on the estimated situation of the room and the lighting fixtures and conditions defined in advance according to the use of the room. The output procedure outputs information on the selected lighting fixtures.

Brief Description of the Drawings

[0007] [Figure 1] Figure 1 is a diagram illustrating the overview of the information processing according to the embodiment. [Figure 2] Figure 2 shows an example of the reflectance of different materials according to the present invention. [Figure 3] Figure 3 shows an example of the reflectance of different materials according to the present invention. [Figure 4] Figure 4 shows an example of device information according to the present invention. [Figure 5] Figure 5 shows an example of the intrinsic illumination rate according to the present invention. [Figure 6] Figure 6 shows an example of light distribution data according to the embodiment. [Figure 7] Figure 7 shows an example of a reference value for illuminance according to the intended use of the room according to the embodiment. [Figure 8] Figure 8 shows the correspondence between the recommended illuminance and the illuminance range according to the embodiment. [Figure 9] Figure 9 shows an example of the functional configuration of the information processing device according to the embodiment. [Figure 10] Figure 10 is a flowchart showing an example of the overall processing procedure by the information processing device according to the embodiment. [Figure 11] Figure 11 is a flowchart showing an example of the processing procedure for the device selection process (part 1) by the information processing device according to the embodiment. [Figure 12] Figure 12 is a flowchart showing an example of the processing procedure for the device selection process (part 2) by the information processing device according to the embodiment. [Modes for carrying out the invention]

[0008] The information processing program according to the embodiment described below causes a computer (for example, an information processing device 100) to execute an estimation procedure, a selection procedure, and an output procedure. The estimation procedure estimates the condition of the room and the condition of the lighting fixtures installed in the room from an image of the room to be analyzed. The selection procedure selects replacement lighting fixtures based on the estimated condition of the room and the condition of the lighting fixtures, and conditions predetermined according to the room's use. The output procedure outputs information about the selected lighting fixtures.

[0009] Furthermore, in the information processing program, the estimation procedure estimates the room's dimensions and the reflectivity of the materials used in the room's construction or interior as part of the room's conditions, and estimates at least the shape of the lighting fixtures as part of the lighting fixture conditions. The selection procedure calculates a predicted average illuminance in the room based on the estimated dimensions and reflectivity, and fixture information relating to lighting fixtures with shapes equivalent to the estimated fixture shape. The calculated predicted value then selects lighting fixtures from the pre-set fixture information that satisfy the predetermined illuminance standard value according to the room's purpose as replacement candidate lighting fixtures.

[0010] Furthermore, in the information processing program, the estimation procedure estimates the room's dimensions and the reflectivity of the materials used in the room's construction or interior as part of the room's conditions, and also estimates at least the shape of the lighting fixtures as part of the lighting fixture conditions. The selection procedure then selects from pre-set fixture information any lighting fixtures that have a shape equivalent to the estimated fixture shape, and whose predicted average illuminance, calculated using a predetermined algorithm used for illuminance calculation, satisfies a predetermined illuminance standard value according to the room's purpose.

[0011] The information processing method according to the embodiment described below is an information processing method executed by a computer, and includes an estimation step, a selection step, and an output step. The estimation step estimates the situation of the room and the situation of the lighting fixtures installed in the room from an image of the room to be analyzed. The selection step selects a lighting fixture to be a replacement candidate based on the estimated situation of the room and the lighting fixture and a condition preset according to the use of the room. The output step outputs information on the selected lighting fixture.

[0012] Conventionally, a proposal for replacing a lighting fixture has been made by checking a drawing created at the time of installing the current fixture and selecting an equivalent product from the model number of the fixture in use. However, when there is no drawing, it is necessary to actually go to the site and check the dimensions, mounting type, etc. of the installed fixture. When there are multiple rooms, there are problems such as it taking time and effort.

[0013] Therefore, the present disclosure proposes an information processing program and an information processing method capable of efficiently proposing changes when changing the configuration of lighting fixtures in a building. Hereinafter, the information processing program and the information processing method according to the embodiment will be described with reference to the drawings.

[0014] [Embodiment] (1. System configuration example) First, the outline of the information processing system SYS according to the embodiment will be described using FIG. 1. FIG. 1 is a diagram for explaining the outline of information processing according to the embodiment. The information processing system SYS shown in FIG. 1 is a system capable of efficiently proposing changes when changing the configuration of lighting fixtures in a building.

[0015] As shown in FIG. 1, the information processing system SYS according to the embodiment includes a plurality of lighting fixtures L such as lighting fixture L-1, lighting fixture L-2, lighting fixture L-3, lighting fixture L-4, and lighting fixture L-5 installed in a room SP (a lighting space to be illuminated) such as a stage, a theater, a studio, or an office, a terminal device 10, and an information processing device 100.

[0016] Note that the configuration of the information processing system SYS shown in FIG. 1 is an example. For example, it may include a control device for controlling the lighting and extinguishing of lighting fixtures L-1 to L-5, various lighting modes, etc., various sensors, and a measuring device for measuring the situation of the room SP and the lighting fixtures L-1 to L-5. The measuring device may be a ranging sensor such as a TOF (Time Of Flight) sensor or a device capable of realizing three-dimensional measurement such as a LiDAR (Light Detection and Ranging) device.

[0017] The lighting fixtures L-1 to L-5 are, for example, base lights, ceiling lights, downlights, or spotlights. The lighting fixtures L-1 to L-5 may perform two-way communication with the above control device in accordance with various communication standards (including wired communication standards and wireless communication standards) such as the RDM standard that extends DMX and DALI (Digital Addressable Lighting Interface) (registered trademark). Also, the lighting fixtures L-1 to L-5 may perform two-way communication with the above control device through a DMX node not shown. In the following description, when there is no need to particularly distinguish between the lighting fixtures L-1 to L-5 and other lighting fixtures that are candidates for replacement of the lighting fixtures L1 to L5, they will be collectively described as "lighting fixture L".

[0018] The terminal device 10 is operated by the operator OP. The terminal device 10 takes a picture of the room SP according to the operation of the operator OP and transmits the captured image to the information processing device 100. The terminal device 10 may be any information processing device such as a smartphone, a tablet terminal, or a PC (Personal Computer).

[0019] The terminal device 10 may have various functions such as communication functions, display functions, and web browsing functions. In this case, the terminal device 10 may be equipped with a dedicated application program (hereinafter referred to as "dedicated app") that provides various functions for realizing the information processing according to the embodiment. The operator OP can perform various operations related to the information processing according to the embodiment through the functions provided by the dedicated app.

[0020] Furthermore, the terminal device 10 may communicate with the control device, etc., via a predetermined network (for example, network N shown in Figure 9). In this case, the terminal device 10 may be connected to the predetermined network by wire or wireless connection. The terminal device 10 may also be equipped with a wireless communication function for connecting to the predetermined network wirelessly. For example, the terminal device 10 can perform wireless communication in accordance with the Bluetooth® or BLE (Bluetooth® Low Energy) communication standards.

[0021] The specified network may include public network infrastructure such as the Internet, telephone lines, and satellite communication networks, as well as various LANs (Local Area Networks) and WANs (Wide Area Networks), including Ethernet®. The specified network may also include dedicated network infrastructure such as IP-VPN (Internet Protocol-Virtual Private Network). Furthermore, the specified network may include wireless communication networks such as Wi-Fi® and Bluetooth®.

[0022] The information processing device 100 performs information processing according to the embodiment. For example, the information processing device 100 uses images of the room taken by the terminal device 10 to estimate the conditions of the room and the lighting fixture L, and uses the estimation results to perform information processing to efficiently propose changes when changing the configuration of the lighting fixture L.

[0023] If the information processing device 100 is composed of server devices, it may be implemented by a single server device, or it may be implemented by a cloud system in which multiple server devices and multiple storage devices work together.

[0024] The information processing device 100 may communicate with other devices via a predetermined network (for example, network N shown in Figure 9). In this case, the information processing device 100 may be connected to the predetermined network by wire or wireless connection. The information processing device 100 may also be equipped with a wireless communication function for connecting to the predetermined network wirelessly. For example, the information processing device 100 can perform wireless communication in accordance with the Bluetooth® or BLE (Bluetooth® Low Energy) communication standards.

[0025] (2. Overview of Information Processing According to the Embodiment) In the information processing system SYS described above, as shown in Figure 1, the terminal device 10 takes a photograph of the room SP to be analyzed according to the operator OP's instructions. The terminal device 10 also obtains information indicating the use of the room SP specified by the operator OP through the screen of a dedicated application. The terminal device 10 then transmits the image information of the captured room SP and the information indicating the use of the room SP to the information processing device 100 (step S01).

[0026] When the information processing device 100 receives image information and information indicating the purpose of the room SP to be analyzed from the terminal device 10, it performs an estimation process to estimate the status of the room SP and the status of the lighting fixture L installed in the room SP using the received image information (step S02).

[0027] For example, the information processing device 100 analyzes images to estimate room information (parameters) corresponding to the conditions of room SP, such as the dimensions of the room SP and the reflectance of the materials used in the construction or interior of room SP, as well as lighting fixture information (parameters) corresponding to the conditions of the lighting fixtures L installed in room SP, such as the installation location, number, size, fixture shape, and light color of the lighting fixtures L installed in room SP. The estimated room dimensions include the width (m), depth (m), and height (m) from the work surface to the light source, which are necessary for calculating the room index.

[0028] Furthermore, AI (Artificial Intelligence) such as machine learning and deep learning may be used for the analysis, and distance estimation using infrared light may be combined with image information. As a result, the information processing device 100 can grasp information such as the model and number of lighting fixtures L currently installed, the dimensions of the room, and the location of the fixtures, even if there are no drawings created at the time of new construction or the previous renovation.

[0029] Figures 2 and 3 show examples of reflectance for different materials according to the embodiment. As illustrated in Figures 2 and 3, the materials used for the construction or interior finishing of the room SP have different light reflectances depending on whether they are opaque materials or transparent or translucent materials.

[0030] Furthermore, the information processing device 100 performs a selection process to select a replacement lighting fixture L based on the estimated conditions of the room SP, the conditions of the lighting fixture L, and conditions predetermined according to the use of the room SP (step S03).

[0031] For example, the information processing device 100 calculates a predicted average illuminance in room SP based on the room index based on the estimated dimensions of room SP, the reflectance of the materials used in the construction or interior of room SP, and fixture information relating to lighting fixtures L having a shape equivalent to the estimated fixture shape. The device then selects a lighting fixture L from the pre-set fixture information that satisfies the calculated predicted value of the illuminance standard value (design illuminance) predetermined according to the intended use of room SP, as a replacement candidate lighting fixture L.

[0032] Figure 4 shows an example of fixture information according to the embodiment. Figure 5 shows an example of intrinsic illumination rate according to the embodiment. Figure 6 shows an example of light distribution data according to the embodiment.

[0033] As shown in Figure 4, the information processing device 100 has pre-stored fixture information that includes data corresponding to items such as "fixture shape," "size," "luminous flux," "equivalent fixture," "color or color temperature," "average color rendering index Ra," "intrinsic illumination rate (illumination rate)," "maintenance factor," and "light distribution data (luminous intensity value)." Note that for indoor use, any value such as "0.81" may be used for the "maintenance factor."

[0034] Furthermore, as shown in Figure 5, the data corresponding to the "intrinsic illumination rate (illumination rate)" item in the fixture information is determined based on the room index and reflectance determined by the dimensions of the room SP. In addition, the data corresponding to the "light distribution data (luminous intensity value)" item in the fixture information is determined by the light distribution characteristic data of the lighting fixture L, which is represented by the light distribution curve shown in Figure 6.

[0035] The information processing device 100 can calculate a predicted value of the average illuminance of the room SP to be analyzed using the following equation (1), which is based on the room index derived from the estimated room dimensions, the illumination rate derived from the estimated reflectance, and the data contained in the fixture information of the lighting fixture L equivalent to the estimated fixture shape. In the following equation (1), "F" represents the luminous flux of the light source, "N" represents the number of light sources, "A" represents the work surface area, "U" represents the illumination rate, and "M" represents the maintenance factor. The method of calculating the predicted value of the average illuminance of the room SP to be analyzed using the following equation (1) is called the "luminous flux method".

[0036]

number

[0037] Furthermore, the information processing device 100 acquires a predetermined illuminance reference value (design illuminance) according to the intended use of the room SP, based on the information indicating the intended use of the room SP received from the terminal device 10. Figure 7 is a diagram showing an example of illuminance reference values ​​according to the intended use of a room according to the embodiment. As shown in Figure 7, a required illuminance reference value is predetermined for each element that identifies the intended use of the room SP, such as the area, type of work, or type of activity. The information processing device 100 refers to the illuminance reference value information shown in Figure 7 and determines the illuminance reference value according to the intended use of the room SP to be analyzed.

[0038] The information processing device 100 then calculates the required illuminance per lighting fixture using a predetermined standard illuminance value and the number of fixtures to be installed, according to the intended use of the room SP. Alternatively, the information processing device 100 may measure the current illuminance of the room SP and use the measured illuminance as a standard value for selecting replacement candidates for existing lighting fixtures.

[0039] Furthermore, the information processing device 100 selects a lighting fixture L as a replacement candidate that has the same fixture shape and whose predicted value satisfies the required illuminance. The information processing device 100 then outputs information about the lighting fixture L selected as a replacement candidate and transmits the output fixture information of the lighting fixture L to the terminal device 10 (step S04).

[0040] The terminal device 10 displays information about replacement candidate lighting fixtures L received from the information processing device 100 on a designated screen of the dedicated application. By referring to the information about lighting fixtures L displayed on the designated screen of the dedicated application, the operator OP can efficiently propose changes when making configuration changes to the lighting fixtures L in room SP.

[0041] Furthermore, the information processing device 100 may calculate a predicted average illuminance using an illuminance calculation algorithm instead of the luminous flux method described later. Figure 8 is a diagram showing the correspondence between recommended illuminance and illuminance range according to the embodiment. As shown in Figure 8, illuminance range information is stored for each recommended illuminance. By referring to the correspondence shown in Figure 8, the information processing device 100 can determine whether or not the work area is within the illuminance range.

[0042] (3. Example of device configuration) Hereinafter, an example of the functional configuration of the information processing device 100 according to the embodiment will be described with reference to Figure 9. Figure 9 is a diagram showing an example of the functional configuration of the information processing device 100 according to the embodiment. The information processing device 100 according to the embodiment has a communication unit 110, a storage unit 120, and a processing unit 130.

[0043] (Communications Department 110) The communication unit 110 transmits and receives information with other devices. The communication unit 110 can be implemented, for example, by a predetermined communication circuit or NIC (Network Interface Card). The communication unit 110 can support any communication method. The communication methods supported by the communication unit 110 may include communication methods based on mobile data communication standards such as 4G, LTE (Long Term Evolution), and 5G, as well as communication methods based on wireless communication methods such as Wi-Fi (Local Area Network), Bluetooth (registered trademark), BLE (Bluetooth (registered trademark) Low Energy), and infrared communication.

[0044] For example, when the communication unit 110 receives image information of the room SP to be analyzed and information indicating the use of the room SP to be analyzed from the terminal device 10, it passes the received image information and information indicating the use to the estimation unit 131.

[0045] Furthermore, the communication unit 110 transmits information about the replacement candidate lighting fixtures L, received from the output unit 133 (described later), to the terminal device 10.

[0046] (Storage unit 120) The storage unit 120 stores various types of information. For example, the storage unit 120 can store programs and data for implementing various controls performed by the processing unit 130. The storage unit 120 can be implemented using, for example, semiconductor memory elements such as RAM or flash memory, or storage devices such as hard disks or optical discs. If the storage unit 120 is implemented using flash memory, it may also be implemented using a removable, portable recording medium such as an SD card.

[0047] Furthermore, the storage unit 120 may store various programs and data according to the purpose. As shown in Figure 9, the storage unit 120 has a device information DB 121 and an illuminance information DB 122.

[0048] (Equipment Information DB121) The fixture information DB121 stores fixture information (see, for example, Figure 4) regarding various lighting fixtures L that could be candidates to replace existing lighting fixtures L installed in room SP.

[0049] (Illuminance information DB122) The illuminance information DB122 stores illuminance information (see, for example, Figure 7) related to the standard illuminance values ​​(design illuminance) predetermined according to the use of the room SP being analyzed.

[0050] (Processing unit 130) The processing unit 130 is, for example, a control circuit (i.e., a controller) that controls each part of the information processing device 100, and has internal memory for storing programs that define various processing procedures and required data, and executes various processes using these. The processing unit 130 can be implemented by a microcomputer or the like. A microcomputer is equipped with a processor such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit), and storage devices such as ROM (Read Only Memory) or RAM.

[0051] The ROM stores programs for controlling various parts of the information processing device 100, as well as application programs (for example, dedicated apps) for executing various processes. The CPU or other processor executes the programs and apps stored in the ROM, thereby enabling the microcomputer to control the information processing device 100 and realize various functions.

[0052] RAM is used as a memory area necessary for the execution of calculations by a processor such as a CPU. The processing unit 130 may also control the information processing device 100 and perform various functions by reading programs stored in the storage unit 120 and executing the read programs. Furthermore, the processing unit 130 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or SoC (System-on-a-chip).

[0053] The processing unit 130 includes an estimation unit 131, a selection unit 132, and an output unit 133 as functional units for executing information processing according to the embodiment.

[0054] (Estimation part 131) The estimation unit 131 estimates the condition of the room SP and the condition of the lighting fixture L installed in the room SP from the image of the room SP to be analyzed.

[0055] For example, when the estimation unit 131 receives image information of the room SP to be analyzed and information indicating the use of the room SP to be analyzed from the communication unit 110, it estimates room information corresponding to the conditions of the room SP, such as the dimensions of the room SP and the reflectance of the materials used in the construction or interior of the room SP, and lighting fixture information corresponding to the conditions of the lighting fixtures L installed in the room SP, such as the installation location, number, size, fixture shape, and light color of the lighting fixtures L installed in the room SP.

[0056] Furthermore, the analysis in the estimation unit 131 may utilize AI (Artificial Intelligence) such as machine learning or deep learning, and may also combine infrared distance estimation with image information. This allows the information processing device 100 to grasp information such as the model and number of currently installed lighting fixtures L, room dimensions, and fixture installation locations, even if drawings created during new construction or the previous renovation are not available.

[0057] The estimation unit 131 passes room information corresponding to the estimated room SP status, and lighting fixture information corresponding to the status of the lighting fixtures L installed in room SP, to the selection unit 132.

[0058] (Selection section 132) The selection unit 132 selects a replacement lighting fixture L based on the estimated conditions of the room SP, the conditions of the lighting fixture L, and conditions predetermined according to the use of the room SP.

[0059] For example, when the selection unit 132 receives room information (parameters) corresponding to the estimated conditions of room SP and lighting fixture information (parameters) corresponding to the conditions of the lighting fixtures L installed in room SP from the estimation unit 131, it calculates a predicted value of the average illuminance in room SP based on the estimated dimensions and reflectance of room SP and the fixture information relating to lighting fixtures L having a shape equivalent to the estimated lighting fixture L. The selection unit 132 also selects a lighting fixture L from the preset fixture information that satisfies the calculated predicted value of illuminance, which is a predetermined standard value according to the use of room SP, as a replacement candidate lighting fixture L.

[0060] The selection unit 132 transmits information about the lighting fixture L selected as a replacement candidate to the output unit 133.

[0061] Furthermore, when the selection unit 132 calculates the predicted average illuminance value in room SP, it may use a predetermined algorithm used for illuminance calculation.

[0062] (Output section 133) The output unit 133 outputs information about the replacement candidate lighting fixture L received from the selection unit 132 to the communication unit 110.

[0063] (4. Processing by the information processing device 100) (4-1. Processing Procedure (1)) The following describes the processing flow of the information processing device 100 according to the embodiment. First, the overall processing procedure flow of the information processing device 100 according to the embodiment will be described using Figure 10. Figure 10 is a flowchart showing an example of the overall processing procedure of the information processing device 100 according to the embodiment.

[0064] As shown in Figure 10, the estimation unit 131 acquires image information of the room SP to be analyzed and usage information indicating the use of the room SP to be analyzed through a dedicated application running on the terminal device 10 (step S101). That is, the estimation unit 131 receives the image information and usage information transmitted from the terminal device 10 from the communication unit 110.

[0065] Furthermore, the estimation unit 131 analyzes the image information to estimate room information corresponding to the conditions of room SP, such as the dimensions of the room SP and the reflectance of the materials used in the construction or interior of room SP, as well as lighting fixture information corresponding to the conditions of the lighting fixtures L installed in room SP, such as the installation location, number, size, fixture shape, and light color of the lighting fixtures L installed in room SP (step S102).

[0066] Furthermore, the selection unit 132 acquires a reference value for the illuminance of the room SP to be analyzed (step S103). For example, the selection unit 132 acquires a predetermined reference value for the illuminance of the room SP to be analyzed, based on the usage information transmitted from the terminal device 10. Alternatively, for example, if the selection unit 132 adopts the current illuminance of the room SP to be analyzed as the illuminance reference for selecting a replacement lighting fixture L, it acquires the illuminance value measured by a dedicated app or measuring instrument from the terminal device 10.

[0067] Furthermore, the selection unit 132 performs a fixture selection process (see Figure 11 or Figure 12 described later) based on the reference value of the illuminance of the room SP to be analyzed (step S104).

[0068] Furthermore, the output unit 133 outputs information about the lighting fixture L selected as a replacement candidate by the selection unit 132 (step S105), and the processing procedure shown in Figure 10 is completed.

[0069] (4-2. Processing Procedure (2)) The following describes the processing procedure of the equipment selection process (part 1) by the information processing device 100 according to the embodiment, using Figure 11. Figure 11 is a flowchart showing an example of the processing procedure of the equipment selection process (part 1) by the information processing device 100 according to the embodiment.

[0070] As shown in Figure 11, the selection unit 132 retrieves equipment information for a provisional equivalent equipment from the equipment information DB 121 based on the estimated equipment shape (step S201).

[0071] Furthermore, the selection unit 132 calculates the room index of room SP based on the estimated dimensions of room SP (width, depth, and height from the work surface to the light source) (step S202).

[0072] Furthermore, the selection unit 132 calculates a predicted value of the average illuminance of the room SP to be analyzed using the room index, the illumination rate derived from the reflectance, and the fixture information of equivalent fixtures (step S203).

[0073] Furthermore, the selection unit 132 calculates the required illuminance per lighting fixture using the illuminance standard value predetermined according to the use of the room SP and the number of fixtures to be installed (step S204).

[0074] Furthermore, the selection unit 132 selects a lighting fixture L as a replacement candidate that has the same fixture shape and whose predicted average illuminance value satisfies the required illuminance (step S205), and then terminates the processing procedure shown in Figure 11.

[0075] (4-3. Processing Procedure (3)) The following describes the processing procedure of the equipment selection process (part 2) by the information processing device 100 according to the embodiment, using Figure 12. Figure 12 is a flowchart showing an example of the processing procedure of the equipment selection process (part 2) by the information processing device 100 according to the embodiment.

[0076] As shown in Figure 12, the selection unit 132 retrieves equipment information for a provisional equivalent equipment from the equipment information DB 121 based on the estimated equipment shape (step S301).

[0077] Furthermore, the selection unit 132 calculates the average illuminance of the room SP to be analyzed using a predetermined algorithm for illuminance calculation (step S302).

[0078] Furthermore, the selection unit 132 determines whether the average illuminance calculated in step S302 meets the illuminance standard value predetermined according to the use of the room SP to be analyzed (step S303).

[0079] In step S303, if the selection unit 132 determines that the average illuminance meets the standard value (step S303; Yes), it selects the lighting fixture L called in step S301 as a replacement candidate (step S304), and terminates the processing procedure shown in Figure 12.

[0080] On the other hand, if the selection unit 132 determines that the average illuminance does not meet the standard value (step S303; No), it retrieves information about an equivalent fixture with a different luminous flux than the lighting fixture L retrieved in step S301 (step S305), and returns to the processing procedure of step S302 described above.

[0081] [others] The information processing according to the above embodiment can reduce the lead time previously required to bring the information back to the company, request the design department to create a proposal, and then submit it to the client. This is expected to improve operational efficiency and contribute to an increase in the order rate.

[0082] Furthermore, in the above embodiment, the image information analysis performed by the information processing device 100 may be performed by the terminal device 10.

[0083] Furthermore, in the above embodiment, the information processing device 100 may automatically create a proposal document (for example, an illuminance distribution diagram, an illuminance calculation sheet, a plot diagram, an elevation diagram, etc.) for suggesting changes to the lighting fixture L, using the information of the lighting fixture L selected as a replacement candidate. The creation of the proposal document may also be done automatically using a rule-based method based on the information of the lighting fixture L, or it may be done using a trained model such as a generative AI (Artificial Intelligence). When using a generative AI, the processing unit 140 inputs information of the lighting fixture L, a sample proposal document, and prompts instructing the content of the proposal document to be created to the generative AI, obtains the output result of the generative AI, and uses it as the proposal document.

[0084] The aforementioned generative AI is implemented using artificial intelligence (AI), such as GPT (Generative Pre-trained Transformer). GPT is a language model that can generate text using natural language processing techniques.

[0085] Furthermore, a dedicated application for realizing the information processing performed by the information processing device 100 according to the above embodiment may be stored and distributed on a computer-readable recording medium such as an optical disc, semiconductor memory, magnetic tape, or flexible disc. In this case, for example, the information processing device 100 installs the dedicated application read from the recording medium and performs the information processing described above.

[0086] Furthermore, the operation history described in the above embodiment and the dedicated application may be stored on a disk device provided by a server device or cloud system on a network such as the Internet, and made available for download to the information processing device 100. Alternatively, the functions realized by the dedicated application may be realized through the cooperation of the OS (Operating System) and application software. In this case, the parts other than the OS may be stored on a medium and distributed, or the parts other than the OS may be stored on a server device or cloud system and made available for download to the information processing device 100.

[0087] Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown.

[0088] Although embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments are included in the scope and spirit of the invention, as well as in the claims and their equivalents. Furthermore, these embodiments can be combined as appropriate, without contradicting the processing content.

[0089] Furthermore, the effects described herein are merely illustrative and not limiting, and other effects may also occur. [Explanation of symbols]

[0090] SYS Information Processing System 10 Terminal devices 100 Information Processing Devices 110 Communications Department 120 Storage section 121 Equipment Information Database 122 Illuminance information DB 130 Processing Unit 131 Estimation Department 132 Selection Section 133 Output section

Claims

1. On the computer, An estimation procedure for estimating the condition of a room and the condition of lighting fixtures installed in the room from an image of the room to be analyzed; A selection procedure for selecting a replacement lighting fixture based on the estimated conditions of the room, the condition of the lighting fixture, and conditions predetermined according to the use of the room; An output procedure for outputting information about the selected lighting fixture; An information processing program characterized by causing the execution of [a specific action].

2. The estimation procedure described above is: As for the conditions of the room, the dimensions of the room and the reflectivity of the materials used in the construction or interior of the room are estimated, and as for the conditions of the lighting fixtures, at least the shape of the lighting fixtures is estimated. The above selection procedure is, Based on the estimated dimensions and reflectance, and fixture information relating to lighting fixtures having a shape equivalent to the estimated fixture shape, a predicted average illuminance value in the room is calculated, and lighting fixtures that satisfy the calculated predicted value, which is a predetermined standard value of illuminance according to the room's use, are selected from the pre-set fixture information as replacement candidate lighting fixtures. The information processing program according to feature 1.

3. The estimation procedure described above is: As for the conditions of the room, the dimensions of the room and the reflectivity of the materials used in the construction or interior of the room are estimated, and as for the conditions of the lighting fixtures, at least the shape of the lighting fixtures is estimated. The above selection procedure is, From among lighting fixtures having a shape equivalent to the estimated fixture shape, a lighting fixture is selected from pre-set fixture information in which the predicted average illuminance value calculated using a predetermined algorithm used for illuminance calculation satisfies a predetermined illuminance standard value according to the room's purpose. The information processing program according to feature 1.

4. A method of information processing performed by a computer, An estimation step of estimating the condition of the room and the condition of the lighting fixtures installed in the room from an image of the room to be analyzed; A selection step of selecting a replacement lighting fixture based on the estimated conditions of the room, the condition of the lighting fixture, and conditions predetermined according to the use of the room; An output step which outputs information about the selected lighting fixture; An information processing method characterized by including

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