Information processing device, information processing method, and information processing system

Abstract

To propose added value resulting from changes in equipment configuration. [Solution] An example of an information processing device according to the present invention comprises an input unit, a processing unit, and an output unit. The input unit receives input of three-dimensional spatial information of a lighting space and the operation history of lighting fixtures installed in the lighting space. The processing unit identifies the position of the lighting fixtures in the lighting space based on the three-dimensional spatial information, links the lighting fixtures with the operation history based on the identified position, and generates simulation information that can reproduce and display the past operation status of the lighting fixtures in the lighting space using the specification information of the lighting fixtures and the three-dimensional spatial information. The output unit outputs the simulation information.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an information processing method, and an information processing system.

Background Art

[0002] Conventionally, there is a technology for assisting the replacement of facilities installed in a building. For example, technologies have been proposed that enable the selection of a new appliance that can be used in place of an existing appliance even if the existing appliance 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 proposing essential elements and added values in the lighting space when changing the configuration of lighting fixtures and attached equipment in a building.

[0005] Therefore, the present disclosure proposes an information processing apparatus, an information processing method, and an information processing system that can propose essential elements and added values in the lighting space when changing the configuration of lighting fixtures and attached equipment in a building.

Means for Solving the Problems

[0006] An information processing device according to one embodiment comprises an input unit, a processing unit, and an output unit. The input unit receives input of three-dimensional spatial information of the lighting space and the operation history of lighting fixtures installed in the lighting space. The processing unit identifies the position of the lighting fixtures in the lighting space based on the three-dimensional spatial information, links the lighting fixtures to the operation history based on the identified position, and generates simulation information that can reproduce and display the past operation status of the lighting fixtures in the lighting space using the specification information of the lighting fixtures and the three-dimensional spatial information. The output unit outputs the simulation information. [Brief explanation of the drawing]

[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 functional configuration of the information processing device according to the present invention. [Figure 3] Figure 3 shows an example of engineering information stored in the engineering information storage unit according to the embodiment. [Figure 4] Figure 4 is a flowchart showing an example of a processing procedure by the information processing device according to the present invention. [Modes for carrying out the invention]

[0008] The information processing device 100 according to the embodiment described below comprises an input interface unit 110 (an example of an "input unit"), a processing unit 140, and an output interface unit 120 (an example of an "output unit"). The input interface unit 110 receives input of three-dimensional spatial information measured for the lighting space and the operation history of lighting fixtures installed in the lighting space. The processing unit 140 identifies the position of the lighting fixtures in the lighting space based on the three-dimensional spatial information, links the lighting fixtures with the operation history based on the identified position, and generates simulation information that can reproduce and display the past operation status of the lighting fixtures in the lighting space using the specification information of the lighting fixtures and the three-dimensional spatial information. The output interface unit 120 outputs the simulation information.

[0009] Furthermore, in the information processing device 100, the processing unit 140 generates evaluation information that evaluates the past operating status of the lighting fixtures based on the simulation information. The output interface unit 120 outputs the evaluation information.

[0010] Furthermore, in the information processing device 100, the processing unit 140 generates suggestion information that proposes improvement methods to improve the operating status of the lighting fixtures based on the evaluation information. The output interface unit 120 outputs the suggestion information.

[0011] Furthermore, in the information processing device 100, the input interface unit 110 receives the operational history after the output of the proposed information. The processing unit 140 uses the operational history before the output of the proposed information and the operational history after the output of the proposed information to generate effect information that shows the effect the improvement method had on the operational status of the lighting fixtures. The output interface unit 120 outputs the effect information.

[0012] The information processing method according to the embodiment described below is an information processing method performed by a computer and includes an input step, a processing step, and an output step. The input step receives input of three-dimensional spatial information of the lighting space and the operation history of lighting fixtures installed in the lighting space. The processing step identifies the position of the lighting fixtures in the lighting space based on the three-dimensional spatial information, links the lighting fixtures with the operation history based on the identified positions, and generates simulation information that reproduces the past operation status of the lighting fixtures using the specification information of the lighting fixtures and the three-dimensional spatial information. The output step outputs the simulation information.

[0013] The information processing system 1 according to the embodiment described below is an information processing system including a measuring device 30 and an information processing device 100, wherein the information processing device 100 comprises an input interface unit 110 (an example of an "input unit"), a processing unit 140, and an output interface unit 120 (an example of an "output unit"). The input interface unit 110 receives input of three-dimensional spatial information measured by the measuring device 30 and the operation history of lighting fixtures installed in the lighting space. The processing unit 140 identifies the position of the lighting fixtures in the lighting space based on the three-dimensional spatial information, links the lighting fixtures with their operation history based on the identified positions, and generates simulation information that can reproduce and display the past operation status of the lighting fixtures in the lighting space using the specification information of the lighting fixtures and the three-dimensional spatial information. The output interface unit 120 outputs the simulation information.

[0014] Conventionally, technologies have been proposed that enable efficient selection and installation of new fixtures even when existing fixtures installed in a building are unknown. These technologies involve acquiring spatial information within a building using measuring devices, identifying the location and shape of existing fixtures, selecting new fixtures from multiple candidates, and outputting information about the new fixtures.

[0015] However, conventional technology involves selecting and installing new fixtures without considering the past operational status of existing fixtures. As a result, when changing the configuration of lighting fixtures and various sensors placed in a building, essential issues such as illuminance in the lighting space, as well as additional issues such as energy efficiency and comfort, are left unresolved.

[0016] Therefore, this disclosure proposes an information processing device, an information processing method, and an information processing system that can propose essential elements and added value for lighting spaces when changing the configuration of lighting fixtures and ancillary equipment in buildings. The information processing device, information processing method, and information processing system according to the embodiment will be described below with reference to Figures 1 to 4.

[0017] [Embodiment] (1. System configuration example) First, the outline of the information processing system 1 according to the embodiment will be described using FIG. 1. FIG. 1 is a diagram showing a configuration example of the information processing system according to the embodiment. The information processing system 1 shown in FIG. 1 is a system that can propose essential elements and added values required in the lighting space when changing the configuration of lighting fixtures and attached equipment in a building. A stage, theater, studio is an example of a "lighting space".

[0018] As shown in FIG. 1, the information processing system 1 according to the embodiment includes a control device 10, an input device 20, a measurement device 30, an output device 40, and an information processing device 100.

[0019] The control device 10 controls the illuminance of lighting fixtures L-1, L- to 5, L-3, L-4, and L-5 installed in a lighting space SP such as a stage, theater, studio, or office according to an operation from an operator OP.

[0020] The control device 10 internally stores an operation history indicating the operation status, such as information on lighting and extinguishing (including lighting time), grouping information, dimming information, movable information of sensors, and information on lighting control methods, of the lighting fixtures L-1 to L-5.

[0021] The lighting fixtures L-1 to L-5 are base lights, ceiling lights, downlights, or spotlights, etc. The lighting devices L-1 to L-5 can communicate bidirectionally with the control device 10 in accordance with various communication standards (including wired and wireless communication standards) such as the RDM standard that extends DMX and DALI (Digital Addressable Lighting Interface) (registered trademark). Also, the lighting devices L-1 to L-5 may perform bidirectional communication with the control device 10 through a DMX node not shown. In the following description, when there is no need to particularly distinguish and describe the lighting devices L-1 to L-5, they will be simply described generically as "lighting device L".

[0022] The input device 20 inputs the operation history of the lighting device L stored in the control device 10 into the information processing device 100 according to the operation of the operator OP. The input device 20 is realized by, for example, an input device such as a keyboard, a mouse, or a touch panel. Note that the input device 20 may input operation instructions for simulation information, evaluation information, proposal information, etc. into the information.

[0023] The measurement device 30 executes three-dimensional measurement of the lighting space SP according to the operation of the operator OP, and inputs the three-dimensional space information obtained as a result of the measurement into the information processing device 100. The three-dimensional space information includes three-dimensional point group information of furniture, lighting fixtures L, etc. arranged in the lighting space SP. The measurement device 30 is realized by, for example, a 3D (Dimension) camera in which LiDAR (Light Detection and Ranging) and a camera are combined.

[0024] The output device 40 outputs simulation information, evaluation information, proposal information, etc. generated by the information processing device 100 according to the operation of the operator OP. The output device 40 is realized by, for example, a display device such as a liquid crystal monitor or a liquid crystal display. Note that the output device 40 may display a user interface or the like for performing various operations on simulation information, evaluation information, proposal information, etc.

[0025] The information processing device 100 executes the information processing according to the embodiment. The information processing device 100 may be any information processing device such as a smartphone, a tablet terminal, or a PC (Personal Computer).

[0026] The information processing device 100 may have various functions such as communication functions, display functions, and web browsing functions. In this case, the information processing device 100 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.

[0027] Furthermore, the information processing device 100 may communicate with other devices via a predetermined network. 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.

[0028] 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®.

[0029] (2. Overview of Information Processing According to the Embodiment) In the information processing system 1 described above, the information processing device 100 receives input from the input device 20 of the operating history of lighting fixtures installed in the lighting space SP. The information processing device 100 also receives input of three-dimensional spatial information measured for the lighting space SP.

[0030] Furthermore, the information processing device 100 identifies the position of the lighting fixture L in the lighting space SP based on three-dimensional spatial information, and links the lighting fixture L with its operational history based on the identified position. For example, the information processing device 100 uses three-dimensional spatial information to extract information such as the projection shape, light distribution characteristics, and image specifications of the lighting fixture L installed in the lighting space SP, which are three-dimensional point cloud information, and identifies the lighting fixture L. After information extraction, the information processing device 100 refers to the engineering information of the lighting space SP and compares the lighting fixture L installed in the lighting space SP with the lighting fixture L identified by the three-dimensional spatial information to identify the position of the lighting fixture L identified by the three-dimensional spatial information in the lighting space SP. Then, based on the identified position of the lighting fixture L, the information processing device 100 links each of the lighting fixture L installed in the lighting space SP with its operational history.

[0031] Furthermore, the information processing device 100 generates simulation information that reproduces the past operating status of lighting fixture L using the specification information and 3D spatial information of lighting fixture L. For example, the information processing device 100 generates a 3D model of the lighting space SP using the 3D point cloud information included in the 3D spatial information. Then, the information processing device 100 generates simulation information by rendering the operating status corresponding to each operating history of lighting fixture L into the 3D model using the specification information of each lighting fixture L.

[0032] Furthermore, the information processing device 100 outputs the generated simulation information to the output device 40.

[0033] In this way, the information processing device 100 can visualize the past operating status of the lighting fixture L by generating simulation information that reproduces the past operating status of the lighting fixture L in a three-dimensional space. Furthermore, by visualizing the past operating status of the lighting fixture L, the information processing device 100 can propose essential elements and added value for the lighting space SP when making changes to the configuration of the lighting fixture L and its auxiliary equipment in a building.

[0034] Furthermore, the information processing device 100 can generate evaluation information that assesses the operational status of the lighting fixture L based on the simulation information. The information processing device 100 can also generate suggestion information that proposes improvement methods to improve the operational status of the lighting fixture L based on the evaluation information.

[0035] For example, the information processing device 100 can generate evaluation information by comparing the power consumption when all lighting fixtures L are kept lit with the power consumption under current operating conditions (which can be divided into periods such as 1 hour, 1 day, 1 week, 1 month, etc.) and calculating the percentage reduction. In this case, the information processing device 100 can generate proposal information showing the calculated estimate and improvement information by calculating the estimated percentage reduction that can be achieved by improving the operating conditions from the current state. In this way, the information processing device 100 can propose essential elements such as reducing the power consumption (energy saving) of the lighting space SP.

[0036] Furthermore, for example, the information processing device 100 can generate evaluation information by calculating the average daily power consumption under the current operating conditions and visualizing which time periods have high power consumption when compared to hourly power consumption. In this case, the information processing device 100 can generate suggestion information that proposes ways to improve power consumption by recreating the lighting conditions in a three-dimensional space during the time periods with high power consumption and visualizing which lighting fixtures L are lit. For example, if all the fixtures near windows that receive sunlight are lit during the day, but a daylight simulation in a three-dimensional space shows that the illuminance can be maintained even with a dimming rate of 30%, the information processing device 100 can propose introducing daylight control as an improvement method. Alternatively, if lighting fixtures L are lit in many areas at night despite there being few people, the information processing device 100 can generate suggestion information that proposes narrowing the areas where lighting fixtures L are lit at night as an improvement method.

[0037] Furthermore, for example, the information processing device 100 can generate evaluation information by reproducing the lighting status every minute of a given day in a three-dimensional space, fast-forwarding through the data, and visualizing the changes in the lighting status throughout the day. In this case, the information processing device 100 can generate suggestion information to propose improvement methods by identifying lighting fixtures L that are lit all day long or lighting fixtures L that are frequently switched on and off. For example, if lighting fixtures L in an area where people rarely stay are lit all day long, the information processing device 100 can propose introducing control using a motion sensor (an example of "accessory equipment") as an improvement method, or if lighting fixtures L in a frequently used passageway are frequently switched on and off, the information processing device 100 can generate suggestion information to keep them constantly lit as an improvement method.

[0038] Furthermore, for example, if the lighting state of the lighting fixtures L changes from day to day due to differences in the number of people present at the office, the information processing device 100 can generate evaluation information that visualizes such changes. In this case, the information processing device 100 can calculate the number of people present at the office using a motion sensor or similar device and generate suggestion information that proposes implementing a control pattern tailored to the number of people present at the office for each day of the week as an improvement method. For example, the information processing device 100 could suggest that on Mondays, when the number of people present is small, only one area of ​​the floor should be kept lit at all times to attract people; on Wednesdays, when the number of people present is large, all lights should be on during the day; and on Fridays, when the attendance rate is average, the lights should be controlled by a predetermined control pattern for turning them on and off as an improvement method.

[0039] Furthermore, for example, if the information processing device 100 is overly focused on energy saving and has turned off the lighting fixtures L in an area despite people being present, resulting in insufficient illumination, it can generate evaluation information by recreating the lighting state in the space and calculating the illumination. In this case, the information processing device 100 can generate suggestion information that proposes the number of lighting fixtures L needed to be lit to ensure sufficient illumination, and suggests improvements to the control of the lighting fixtures L. In this way, the information processing device 100 can propose essential elements such as ensuring sufficient illumination in the lighting space SP.

[0040] Furthermore, for example, if the layout of the furniture when the lighting fixtures L were grouped using control in the past differs from the current layout of the furniture, the information processing device 100 can generate evaluation information by reproducing the current lighting state in three-dimensional space. In this case, the information processing device 100 can extract areas where the grouping of the lighting fixtures L and the furniture layout do not match, and generate suggestion information that proposes optimal grouping for the current furniture layout as an improvement method. In addition, even if the furniture layout has not changed, if the grouping of the lighting fixtures L and the furniture layout do not match, the information processing device 100 can generate suggestion information that proposes an optimal grouping example as an improvement method.

[0041] Furthermore, for example, in the case of a property where lighting control has not been introduced, the information processing device 100 can generate proposal information that reproduces in a three-dimensional space how the atmosphere of the lighting space SP changes at different times of day, comparing the current situation with the case where lighting control has been introduced. Also, for example, in the case of a property where lighting control has already been introduced, the information processing device 100 can generate proposal information that reproduces in a three-dimensional space how the atmosphere of the lighting space SP changes, comparing the installation location of new sensors and new grouping examples of lighting fixtures L. In this way, the information processing device 100 can propose additional elements (comfort) such as the atmosphere of the lighting space SP.

[0042] Furthermore, for example, in the case of a property where dimming and color adjustment of lighting fixtures L have not been introduced, the information processing device 100 can generate daylight simulation information for each time period, and generate proposed information that reproduces in three dimensions how the atmosphere of the lighting space SP would change if dimming and color adjustment of lighting fixtures L were introduced due to changes in time of day, and can propose control that takes circadian rhythms into consideration.

[0043] (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 2. Figure 2 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 an input interface unit 110, an output interface unit 120, a storage unit 130, and a processing unit 140. In addition to the parts shown in Figure 2, the information processing device 100 may also have a communication function unit, etc.

[0044] (Input interface unit 110) The input interface unit 110 receives input of the operation history of the lighting fixtures L installed in the lighting space SP from the input device 20. The input interface unit 110 also receives input of 3D spatial information measured for the lighting space SP from the measurement device 30. The input interface unit 110 then passes the operation history of the lighting fixtures L and the 3D spatial information to the processing unit 140.

[0045] (Output interface section 120) The output interface unit 120 outputs the simulation information generated by the processing unit 140 to the output device 40.

[0046] (Storage unit 130) The storage unit 130 stores various types of information. For example, the storage unit 130 can store programs and data for implementing various controls performed by the processing unit 140. The storage unit 130 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. Furthermore, if the storage unit 130 is implemented using flash memory, it may be implemented using a removable, portable recording medium such as an SD card.

[0047] The storage unit 130 may store a dedicated application that has the function of executing information processing according to the embodiment. The storage unit 130 may also store various programs and data according to the purpose. As shown in Figure 2, the storage unit 130 has an engineering information storage unit 131, an evaluation criteria storage unit 132, and an improvement proposal information storage unit 133.

[0048] (Engineering Information Storage Unit 131) The engineering information storage unit 131 stores engineering information related to various settings for the lighting space SP. Figure 3 shows an example of engineering information stored in the engineering information storage unit 131 according to this embodiment.

[0049] As shown in Figure 3, the engineering information includes multiple items such as "Equipment ID," "Placement Location," "Projection Shape," "Light Distribution Characteristics," and "External Image." These items in the engineering information are interconnected.

[0050] The "Fixture ID" field stores unique identification information assigned to the lighting fixture L to identify it located in the lighting space SP. The "Location" field stores location information indicating the position of the lighting fixture L within the lighting space SP.

[0051] The "Projection Shape" field stores 3D point cloud information obtained by 3D measurement of the lighting fixture L. The "Light Distribution Characteristics" field stores information indicating the light distribution characteristics of the light source of the lighting fixture L. The "Exterior Image" field stores image information of the exterior of the lighting fixture L.

[0052] (Evaluation criteria storage unit 132) The evaluation criteria storage unit 132 stores information indicating evaluation criteria for quantitatively evaluating the past operating status of the lighting fixture L. The evaluation criteria may consist of, for example, information indicating the general illuminance required for each lighting application for each lighting fixture L, or statistical information indicating the general power consumption.

[0053] (Improvement plan information storage unit 133) The improvement proposal information storage unit 133 stores improvement proposal information that shows improvement proposals for problems related to essential elements such as illuminance in a lighting space, as well as problems related to additional elements such as energy saving and comfort. For example, the improvement proposal information may be configured by pre-associating information showing improvement proposals for each element that needs improvement.

[0054] (Processing unit 140) The processing unit 140 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 140 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.

[0055] 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.

[0056] RAM is used as a memory area necessary for the execution of calculations by a processor such as a CPU. The processing unit 140 may also control the information processing device 100 and implement various functions by reading programs stored in the storage unit 130 and executing the read programs. Furthermore, the processing unit 140 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).

[0057] As part of the information processing according to this embodiment, the processing unit 140 identifies the position of the lighting fixture L in the lighting space SP based on the three-dimensional spatial information received from the input interface unit 110, and links the lighting fixture L with the operation history based on the identified position.

[0058] For example, the processing unit 140 uses three-dimensional spatial information to extract information such as the projection shape, light distribution characteristics, and image specifications of the lighting fixture L installed in the lighting space SP, which are three-dimensional point cloud information, and identifies the lighting fixture L. After extracting the information, the processing unit 140 refers to the engineering information of the lighting space SP and compares the lighting fixture L installed in the lighting space SP with the lighting fixture L identified by the three-dimensional spatial information to determine the position of the lighting fixture L identified by the three-dimensional spatial information in the lighting space SP. Then, based on the identified position of the lighting fixture L, the processing unit 140 links each of the lighting fixtures L installed in the lighting space SP with its operational history.

[0059] Furthermore, the processing unit 140 generates simulation information that reproduces the past operating status of lighting fixture L using the specification information and 3D spatial information of lighting fixture L. For example, the processing unit 140 generates a 3D model of the lighting space SP using the 3D point cloud information included in the 3D spatial information. Then, the processing unit 140 generates simulation information by rendering the operating status corresponding to each operating history of lighting fixture L onto the 3D model using the specification information of each lighting fixture L. The processing unit 140 then passes the generated simulation information to the output interface unit 120.

[0060] Furthermore, the processing unit 140 can generate evaluation information that assesses the operational status of the lighting fixture L based on the simulation information. For example, the processing unit 140 may acquire images from the simulation information in which the operational status of the lighting fixture L does not meet the evaluation criteria, and obtain the information of the acquired images as evaluation information that assesses the operational status of the lighting fixture L.

[0061] Furthermore, the processing unit 140 can generate proposal information that suggests improvement methods to improve the operational status of the lighting fixture L based on the evaluation information. For example, the processing unit 140 obtains improvement proposals corresponding to the lighting environment conditions corresponding to the image acquired as evaluation information from the improvement proposal information, and uses the acquired improvement proposal information to generate proposal information that suggests improvement methods. Examples of lighting environment conditions corresponding to the image acquired as evaluation information include situations where the uniformity of the illumination light is low (does not meet a predetermined standard), situations where the illuminance of the illumination light is insufficient, and situations where the illumination light is turned on at times when it is not needed, which are all examples of situations where the lighting environment should be improved.

[0062] (Processing by information processing device 100) The following describes the processing flow by the information processing device 100 according to the embodiment, using Figure 4. Figure 4 is a flowchart showing an example of the processing procedure by the information processing device 100 according to the embodiment.

[0063] As shown in Figure 4, the input interface unit 110 receives input of three-dimensional spatial information measured in the lighting space and the operation history of the lighting fixtures L installed in the lighting space SP (step S101).

[0064] Furthermore, the processing unit 140 extracts specification information and placement information for existing lighting fixtures L installed in the lighting space SP to identify the existing lighting fixtures L (step S102).

[0065] Furthermore, the processing unit 140 links the existing lighting fixture L identified in step S102 with the operation history input received in step S101 (step S103).

[0066] Furthermore, the processing unit 140 uses the specifications and three-dimensional spatial information of the lighting fixture L to generate simulation information that can reproduce and display the past operating status of the lighting fixture L in the lighting space SP (step S104).

[0067] Furthermore, the output interface unit 120 outputs the simulation information generated in step S104 to the output device 40 (step S105), thus completing the processing procedure shown in Figure 4.

[0068] [others] In the above embodiment, the input interface unit 110 may receive the operation history of the lighting fixture L after the output of suggested information proposing an improvement method for improving the operation status of the lighting fixture from the input device 20. The processing unit 140 may then use the operation history before the output of the suggested information and the operation history after the output of the suggested information to generate effect information showing the effect that the improvement method had on the operation status of the lighting fixture L. The output interface unit 120 may then output the effect information to the output device 40. This allows the information processing device 100 to objectively grasp the effect of the improvement method.

[0069] Furthermore, in the above embodiment, the generation of evaluation information by the processing unit 140 may be performed by a rule-based method based on evaluation criteria, or by a trained model such as a generative AI (Artificial Intelligence). When using a generative AI, the processing unit 140 obtains the output result of the generative AI by inputting the operation history of the lighting fixture L, the evaluation criteria, and a prompt instructing the generative AI to evaluate the past operation status of the lighting fixture L based on the evaluation criteria, and uses the result as evaluation information.

[0070] Furthermore, in the above embodiment, the generation of proposal information by the processing unit 140 may be performed by a rule-based method based on evaluation information, or by a trained model such as a generative AI (Artificial Intelligence). When using a generative AI, the processing unit 140 inputs evaluation information of the operation history of the lighting fixture L and a prompt instructing the generative AI to consider areas for improvement regarding the past operation of the lighting fixture based on the evaluation information and propose improvement plans, thereby obtaining the output result of the generative AI and using it as proposal information.

[0071] The aforementioned generative AI is implemented using AI (Artificial Intelligence) such as GPT (Generative Pre-trained Transformer). GPT is a language model that can generate text using natural language processing techniques.

[0072] Furthermore, in the above embodiment, the information processing device 100 may obtain feedback on the simulation information from the customer installing the lighting fixture L, and based on the obtained feedback, it may accumulate an evaluation of the past operational status of the lighting fixture L.

[0073] 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.

[0074] 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.

[0075] 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.

[0076] 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.

[0077] Furthermore, the effects described herein are merely illustrative and not limiting, and other effects may also occur. [Explanation of Symbols]

[0078] 1. Information Processing System 10 Control device 20 Input devices 30 Measuring devices 40 Output device 100 Information Processing Devices 110 Input Interface Section 120 Output Interface Section 130 Storage section 131 Engineering Information Storage Unit 132 Evaluation Criteria Memory Unit 133 Improvement plan information storage unit 140 Processing Unit

Claims

1. An input unit that accepts input of the operating history of lighting fixtures installed in the lighting space, and three-dimensional spatial information measured for the lighting space; A processing unit that identifies the position of the lighting fixture in the lighting space based on the three-dimensional spatial information, links the lighting fixture with the operation history based on the identified position, and generates simulation information that can reproduce and display the past operation status of the lighting fixture in the lighting space using the specification information of the lighting fixture and the three-dimensional spatial information; An output unit that outputs the aforementioned simulation information; An information processing device characterized by comprising:

2. The aforementioned processing unit, Based on the aforementioned simulation information, evaluation information is generated that assesses the past operational status of the lighting fixture. The output unit is, Output the aforementioned evaluation information The information processing apparatus according to feature 1.

3. The aforementioned processing unit, Based on the aforementioned evaluation information, proposal information is generated that proposes improvement methods to improve the operational status of the lighting fixtures. The output unit is, Output the aforementioned proposal information The information processing apparatus according to feature 2.

4. The aforementioned input unit is After outputting the proposed information, the operation history is received. The aforementioned processing unit, Using the operational history before the output of the proposed information and the operational history after the output of the proposed information, effect information is generated that shows the effect the improvement method had on the operational status of the lighting fixture. The output unit is, Output the aforementioned effect information The information processing apparatus according to claim 3.

5. A method of information processing performed by a computer, An input process that accepts the operation history of lighting fixtures installed in the lighting space, and three-dimensional spatial information measured for the lighting space; A processing step of identifying the position of the lighting fixture in the lighting space based on the three-dimensional spatial information, linking the lighting fixture with the operation history based on the identified position, and generating simulation information that can reproduce and display the past operation status of the lighting fixture in the lighting space using the specification information of the lighting fixture and the three-dimensional spatial information; An output process for outputting the aforementioned simulation information; An information processing method characterized by including

6. An information processing system including a measuring device and an information processing device, The aforementioned information processing device is An input unit that accepts input of the operating history of lighting fixtures installed in the lighting space, and three-dimensional spatial information of the lighting space measured by the measuring device; A processing unit that identifies the position of the lighting fixture in the lighting space based on the three-dimensional spatial information, links the lighting fixture with the operation history based on the identified position, and generates simulation information that can reproduce and display the past operation status of the lighting fixture in the lighting space using the specification information of the lighting fixture and the three-dimensional spatial information; An output unit that outputs the aforementioned simulation information; An information processing system characterized by comprising the following features.

Images