Verification support device, verification support system, verification support method, and program

Abstract

To provide a verification support device, etc., that can more easily estimate whether a user will pass or fail the WELL certification review. [Solution] The verification support device includes an acquisition unit 221 that acquires spatial information relating to the environment inside or outside the indoor space 100, an identification unit 222 that identifies relevant items related to the spatial information from among a plurality of items relating to environmental certification based on the spatial information acquired by the acquisition unit 221, a determination unit 223 that determines whether or not the spatial information satisfies the requirements for the relevant items identified by the identification unit 222, and an output unit 225 that outputs the result of the determination made by the determination unit 223.

Description

Technical Field

[0001] The present disclosure relates to a verification support apparatus, a verification support system, a verification support method, and a program.

Background Art

[0002] Patent Document 1 discloses an illumination system that provides illumination light satisfying the requirements of WELL Certification while adapting to changes in the illumination environment.

Prior Art Literature

Patent Literature

[0003]

Patent Document 1

Summary of the Invention

Problem to be Solved by the Invention

[0004] WELL Certification disclosed in Patent Document 1 and other documents is an evaluation system for evaluating a space such as a facility or an office, which incorporates the perspective of the physical and mental health of people spending time in the space.

[0005] In recent years, there has been an increasing movement to obtain WELL Certification in offices and other places.

[0006] Here, the examination items for WELL Certification cover a wide range. Generally, from among the wide range of WELL Certification examination items, achievable examination items for the target space are selected, and an application for WELL Certification examination is submitted for the selected examination items.

[0007] For example, a questionnaire survey is conducted in advance with users of the space, and feasibility verification is performed to select items to apply for WELL Certification examination based on the results of the questionnaire survey. Feasibility verification refers to estimating the pass / fail result when an application for examination is submitted.

[0008] However, because the WELL certification assessment criteria are so extensive, the feasibility testing process is extremely time-consuming.

[0009] This disclosure aims to provide a verification support device, etc., that can make it easier to estimate whether a user will pass or fail a WELL certification assessment. [Means for solving the problem]

[0010] One embodiment of the verification support device relating to this disclosure includes: an acquisition unit that acquires spatial information relating to the environment inside or outside a room; an identification unit that identifies relevant items among a plurality of items relating to environmental certification that are related to the spatial information based on the spatial information acquired by the acquisition unit; a determination unit that determines whether or not the spatial information satisfies the requirements for the relevant items identified by the identification unit; and an output unit that outputs the result of the determination made by the determination unit.

[0011] Furthermore, one embodiment of the verification support system relating to this disclosure comprises the verification support device and a terminal device that receives the results output by the output unit and presents the received results to the user.

[0012] Furthermore, one embodiment of the verification support method relating to this disclosure is a verification support method executed by a computer, which includes: an acquisition step of acquiring spatial information relating to the environment inside or outside of an indoor space; an identification step of identifying relevant items among a plurality of items relating to environmental certification that are related to the spatial information based on the spatial information acquired in the acquisition step; a determination step of determining whether or not the spatial information satisfies the requirements for the relevant items identified in the identification step; and an output step of outputting the result of the determination made in the determination step.

[0013] Furthermore, this disclosure can be implemented not only as the verification support method described above, but also as a program that causes a computer to execute the verification support method. Moreover, it can also be implemented as a computer-readable recording medium that stores that program. [Effects of the Invention]

[0014] The verification support device, verification support system, verification support method, and program related to this disclosure can make it easier to estimate whether a user will pass or fail a WELL certification assessment. [Brief explanation of the drawing]

[0015] [Figure 1] Figure 1 is a diagram showing an overview of the verification support system according to the embodiment. [Figure 2] Figure 2 is a block diagram showing the functional configuration of the verification support system according to the embodiment. [Figure 3] Figure 3 is a flowchart showing the operation of the server according to the embodiment, specifically example 1. [Figure 4] Figure 4 shows an example of an image related to the embodiment. [Figure 5] Figure 5 shows an example of a database according to the embodiment. [Figure 6] Figure 6 shows an example of a display screen according to the embodiment. [Figure 7] Figure 7 is a flowchart showing the operation of the server in example 2 according to the embodiment. [Modes for carrying out the invention]

[0016] (Embodiment) Hereinafter, embodiments of a verification support apparatus, a verification support system, a verification support method, and a program according to the present disclosure will be described in detail with reference to the drawings. All of the embodiments described below show a preferred specific example of the present disclosure. Numerical values, constituent elements, arrangement positions and connection forms of constituent elements, steps, order of steps, and the like shown in the following embodiments are examples, and are not intended to limit the present disclosure. Among the constituent elements in the following embodiments, constituent elements not recited in the independent claims are described as optional constituent elements constituting a preferred embodiment.

[0017] Each drawing is a schematic diagram and is not necessarily strictly illustrated. In addition, in each drawing, substantially identical configurations are denoted by the same reference numerals, and overlapping descriptions may be omitted or simplified.

[0018] Furthermore, ordinal numbers such as "first", "second", and the like in the present disclosure do not mean the number or order of constituent elements or the like unless otherwise specified, and are used for the purpose of avoiding confusion between and distinguishing between constituent elements of the same type.

[0019] [SUMMARY] First, an outline of a verification support system according to an embodiment will be described. Fig. 1 is a diagram for explaining the outline of a verification support system 10 according to the embodiment. As shown in Fig. 1, the verification support system 10 includes a server 20 and a terminal device 30.

[0020] The verification support system 10 is a system that estimates whether an application for environmental certification examination will pass or fail based on information related to the environment of an indoor space 100, and presents the estimation result to a user 201. For example, the verification support system 10 determines whether the environment of the indoor space 100 satisfies the requirements of environmental examination based on the content of an interview survey conducted by the user 201 with a subject 202 in the indoor space 100, and presents the determination result to the user 201.

[0021] The indoor space 100 is the space subject to environmental certification review. The environmental certification review is conducted on the environment of the indoor space 100. The indoor space 100 is, for example, an office, but it may also be a commercial facility, a public facility, or a residence.

[0022] User 201 is, for example, a consultant who assists with the application process when an indoor space 100 undergoes an environmental certification review.

[0023] Subject 202 is, for example, a user of the indoor space 100. Subject 202 may also be, for example, the owner of the building that includes the indoor space 100. Subject 202 can check various information about the indoor space 100 as appropriate. Various information about the indoor space 100 includes, for example, information indicating the type, function, and number of facilities that the indoor space 100 is equipped with.

[0024] The environmental certification referred to here is, for example, the WELL Building Standard (the so-called WELL certification), but other environmental certifications may also be used. Examples of other environmental certifications include DBJ Green Building certification, CASBEE (Comprehensive Assessment System for Built Environment Efficiency), BELS (Building Energy-efficiency Labeling System), LEED, ZEB (Net Zero Energy Building) certification, and BREEAM.

[0025] WELL certification is a spatial evaluation system for buildings. WELL certification is unique in that it not only evaluates ergonomic aspects such as efficient use of space or mechanisms that improve productivity, but also emphasizes the well-being of people who spend time in the space. WELL certification is an evaluation system that measures, evaluates, and certifies various functions that affect the physical and mental health and well-being of people who spend time in a space.

[0026] WELL certification is exemplified by the WELL Building Standard v2 (hereinafter referred to as WELL v2). WELL v2 is a WELL certification system that evaluates healthy working environments by comprehensively assessing "10 concepts + innovations related to a healthy, safe, and comfortable environment." Specifically, the 10 concepts of WELL v2 are "air," "thermal comfort," "light," "sound," "mind," "water," "materials," "community," "nutrition," and "exercise." The number of certification items for WELL v2 is "24 mandatory items + 100 bonus items," and some items have performance standards. The requirement for WELL v2 certification is to meet all 24 mandatory items, and according to the score of the bonus items, it is ranked in one of four ranks: Platinum, Gold, Silver, and Bronze. WELL v2 is mainly targeted at offices.

[0027] Furthermore, WELL certification includes, for example, the Health-Safety Rating. The Health-Safety Rating is a WELL certification system specifically focused on infectious disease control. The Health-Safety Rating evaluates five areas with added innovation: "cleaning and disinfection procedures," "emergency response plan," "healthcare service resources," "air and water quality management," and "stakeholder engagement and communication." There are 28 certification items, and certification can be obtained by selecting 15 or more of them and passing the assessment. The Health-Safety Rating is mainly targeted at facilities where people gather, such as hotels, commercial facilities, and stadiums.

[0028] Please note that the items subject to the WELL certification review mentioned above are merely examples and are not limited to these, and may be changed as appropriate.

[0029] As described above, the items subject to WELL certification review are wide-ranging. Estimating whether a user 201 will pass or fail a WELL certification review based on information describing the environment of the indoor space 100, information describing the surrounding environment of the indoor space 100, and information describing the system or operation related to the indoor space 100 is a difficult task.

[0030] According to the verification support system 10 of the embodiment, user 201 can more easily estimate whether they will pass or fail the WELL certification review if they apply for it.

[0031] [composition] The configuration of the verification support system 10 according to the embodiment will now be described. Figure 2 is a block diagram showing the functional configuration of the verification support system 10 according to the embodiment.

[0032] The verification support system 10 is a system that can support the feasibility verification by user 201. Feasibility verification involves estimating the pass / fail result if an application for review is submitted, based on information indicating the environment of the indoor space 100. For example, the verification support system 10 supports feasibility verification by determining whether the environment of the indoor space 100 meets the requirements of the environmental certification items based on the results of an interview conducted by user 201 with subject 202 regarding the environment of the indoor space 100, and by presenting the result of this determination to user 201. The verification support system 10 comprises a server 20 and a terminal device 30.

[0033] Server 20 is a device that acquires spatial information about the environment of the indoor space 100 based on information obtained from terminal device 30, identifies relevant items related to the spatial information from among multiple items related to environmental authentication, determines whether the spatial information satisfies the requirements for the relevant items, and outputs the result of the determination to terminal device 30. Server 20 is implemented, for example, by a cloud server. Specifically, Server 20 comprises a communication unit 21, an information processing unit 22, and a storage unit 23.

[0034] The communication unit 21 is a communication circuit (communication module) for the server 20 to communicate with the terminal device 30 via the wide-area communication network 40. The communication unit 21 is a wireless communication circuit that performs wireless communication, but it may also be a wired communication circuit that performs wired communication. The communication standard for communication performed by the communication unit 21 is not particularly limited.

[0035] The information processing unit 22 performs information processing necessary for the server 20 to operate. The information processing unit 22 is implemented, for example, by a microcomputer, but may also be implemented by a processor or dedicated circuit. The functions of the information processing unit 22 are realized by the hardware, such as a microcomputer or processor that constitutes the information processing unit 22, executing a computer program (software) stored in the storage unit 23. Specifically, the information processing unit 22 includes an acquisition unit 221, an identification unit 222, a determination unit 223, a decision unit 224, and an output unit 225.

[0036] The acquisition unit 221 acquires spatial information relating to the internal or external environment of the indoor space 100. The internal environment of the indoor space 100 includes, for example, the equipment or furnishings of the indoor space 100. The external environment of the indoor space 100 includes, for example, the distance from the indoor space 100 to public facilities.

[0037] Spatial information includes, for example, the presence of a height-adjustable desk. Spatial information is also included, for example, in an image of the interior of the indoor space 100. Furthermore, spatial information is included, for example, in a conversation between user 201 and subject 202 about the environment of the indoor space 100. Furthermore, spatial information is also included, for example, in the text obtained by transcribing the conversation. The acquisition unit 221 acquires spatial information by analyzing an image, audio, or text obtained by transcribing a conversation contained in audio that contains spatial information. The acquisition unit 221 may also acquire location information indicating the location where the image or audio containing spatial information was generated.

[0038] The identification unit 222 identifies relevant items related to spatial information from among several items related to environmental certification, based on the spatial information acquired by the acquisition unit 221.

[0039] The determination unit 223 determines whether the spatial information satisfies the requirements for the related items identified by the identification unit 222.

[0040] The determination unit 224 determines the reliability of the spatial information based on the location information acquired by the acquisition unit 221. It is not essential that the server 20 is equipped with the determination unit 224.

[0041] The output unit 225 outputs the result of the determination made by the determination unit 223.

[0042] The memory unit 23 is a storage device that stores various information necessary for the server 20 to operate. The memory unit 23 is implemented, for example, by semiconductor memory. The computer programs stored in the memory unit 23 include application programs for operating the server 20.

[0043] Terminal device 30 is an information terminal that receives the result of a determination made by server 20 and displays the received determination result. Terminal device 30 is used by user 201. Terminal device 30 can be implemented as a mobile terminal such as a tablet or smartphone, but may also be implemented as a personal computer. Specifically, terminal device 30 includes a communication unit 31, an information processing unit 32, a storage unit 33, an operation reception unit 34, a display unit 35, a position measurement unit 36, an audio input unit 37, and an imaging unit 38.

[0044] The communication unit 31 is a communication circuit (communication module) for the terminal device 30 to communicate with the server 20 via the wide-area communication network 40. The communication unit 31 communicates according to a communication standard such as Wi-Fi (registered trademark). The communication standard used by the communication unit 31 is not particularly limited.

[0045] The information processing unit 32 performs information processing for the operation of the terminal device 30. Specifically, the information processing unit 32 displays an image on the display unit 35 based on information received from the server 20, and performs information processing to transmit information received using the operation reception unit 34 and information acquired by the position measurement unit 36 ​​or the voice input unit 37 to the server 20 using the communication unit 31. The information processing unit 32 is implemented by, for example, a microcomputer, but may also be implemented by a processor or dedicated circuit. The functions of the information processing unit 32 are realized by the execution of computer programs (software) stored in the storage unit 33 by the hardware, such as the microcomputer or processor that constitutes the information processing unit 32.

[0046] The memory unit 33 is a storage device that stores various information necessary for the operation of the terminal device 30. The memory unit 33 is implemented, for example, by semiconductor memory. The computer program stored in the memory unit 33 includes an application program for operating the terminal device 30.

[0047] The operation reception unit 34 receives input from user 201. The operation reception unit 34 may be implemented by, for example, a keyboard and mouse. The operation reception unit 34 may also be implemented by a touch panel or the like.

[0048] The display unit 35 displays various images. The display unit 35 is implemented by a display panel such as a liquid crystal panel or an organic EL (Electro-Luminescence) panel.

[0049] The position measurement unit 36 ​​measures the current position (coordinates) of the terminal device 30 and outputs position information indicating the measured current position. The position measurement unit 36 ​​is implemented by a GNSS (Global Navigation Satellite System) module such as a GPS (Global Positioning System) module. It is not essential that the terminal device 30 is equipped with the position measurement unit 36.

[0050] The voice input unit 37 acquires the conversation between the user 201 and the target person 202 as voice information. The voice input unit 37 is implemented, for example, by a microphone. It is not essential that the terminal device 30 is equipped with the voice input unit 37.

[0051] The imaging unit 38 captures an image. The imaging unit 38 is implemented, for example, by a camera.

[0052] The generation AI 300 generates spatial information contained in the input image or audio. The server 20 communicates with the generation AI 300 using the communication unit 21 and inputs an image or audio to cause the generation AI 300 to generate spatial information. The server 20 may also input text transcribed from the conversation contained in the audio to cause the generation AI 300 to generate spatial information.

[0053] Furthermore, the generating AI 300 determines whether the spatial information meets the requirements for reviewing the environmental certification items. For example, the generating AI 300 generates spatial information contained in the input image or audio and determines whether the generated spatial information meets the requirements for reviewing the environmental certification items. In other words, the generating AI 300 can determine whether the requirements for reviewing the environmental certification items are met based on the image or audio input by the server 20.

[0054] The generating AI 300 is configured to generate spatial information contained in images or audio using RAG (Retrieval-Augmented Generation). Furthermore, the generating AI 300 is configured to use RAG to determine whether the spatial information meets the requirements for reviewing environmental certification items. In RAG, the generating AI 300 is allowed to reference data related to environmental certification items stored in the storage unit 23 of the server 20, thereby improving the accuracy of the text. The server 20 accesses the generating AI 300, for example, using an API (Application Programming Interface).

[0055] By using RAG, the generating AI300 can automatically generate appropriate spatial information simply by modifying the environmental certification item data stored in the memory unit 23, even if there are changes or additions to the criteria and items for WELL certification assessment, or updates to the generating AI model.

[0056] Furthermore, the Generative AI 300 may be a Generative AI that has been fine-tuned to generate spatial information contained in images or audio. The Generative AI 300 that has been fine-tuned is realized by further training a pre-trained model with data related to environmental certification items.

[0057] [Example of operation 1] Generally, environmental certification assessments involve multiple assessment criteria. In practice, however, instead of applying for assessment for all of these criteria, applicants typically select which criteria to apply for and then apply only for those selected criteria. However, because the WELL certification assessment criteria are so diverse, selecting which criteria to apply for requires considerable effort.

[0058] The server 20 according to this embodiment acquires spatial information about the environment of the indoor space 100 based on information obtained from the terminal device 30, identifies relevant items related to the spatial information from among multiple items related to environmental certification, determines whether the spatial information satisfies the requirements for the relevant items, and outputs the result of the determination. In other words, the server 20 according to this embodiment can cause the terminal device 30 to present examination items that are highly likely to result in passing if an application is actually submitted. The operation of such a server 20 operation example 1 will be described below. Figure 3 is a flowchart showing the operation of the server 20 according to this embodiment operation example 1.

[0059] First, the acquisition unit 221 acquires data including images or audio (S11). The acquisition unit 221 may also acquire text information by transcribing the conversation contained in the audio. Specifically, for example, user 201 conducts an interview survey regarding the environment of the indoor space 100 using terminal device 30. At this time, data including images or audio is generated. Terminal device 30 transmits the generated data including images or audio to server 20 using communication unit 31. The data including images or audio transmitted by terminal device 30 is acquired by acquisition unit 221.

[0060] The audio is, for example, audio information including conversations that took place during an interview conducted by user 201 with subject 202 regarding the environment of the indoor space 100. The audio is generated, for example, using the audio input unit 37.

[0061] The image is, for example, an image taken of the interior of the indoor space 100. The image is generated, for example, using the imaging unit 38. Figure 4 shows an example of an image according to the embodiment. Figure 4(a) shows an example of an image taken of a height-adjustable desk according to the embodiment. Figure 4(b) shows an example of an image taken of blinds according to the embodiment. Figure 4(c) shows an example of an image taken of a water server according to the embodiment.

[0062] Image 50a, shown in Figure 4(a), is an image of the height-adjustable desk taken by user 201 using the imaging unit 38 of the terminal device 30. Image 50a shows the height-adjustable desk, as well as the chairs and computer in the surrounding area.

[0063] Image 50b shown in Figure 4(b) is an image of the blind taken by user 201 using the imaging unit 38 of the terminal device 30.

[0064] Image 50c, shown in Figure 4(c), is an image of the water server taken by user 201 using the imaging unit 38 of the terminal device 30.

[0065] Next, the acquisition unit 221 acquires spatial information by analyzing the acquired image or audio (S12). The acquisition unit 221 acquires spatial information contained in an image or audio by inputting the image or audio to the generation AI 300, for example. Alternatively, the acquisition unit 221 acquires spatial information contained in a conversation by inputting the transcribed text of the audio to the generation AI 300. The acquisition unit 221 may also acquire spatial information using an algorithm for analyzing the image or audio. Note that the image or audio may contain multiple pieces of spatial information. For example, the acquisition unit 221 acquires "There is a height-adjustable desk" as spatial information by inputting image 50a to the generation AI 300. The spatial information may also be the model number of the height-adjustable desk.

[0066] Once spatial information is acquired, the identification unit 222 identifies relevant items from among several items related to environmental certification (S13). The relevant items are items related to the spatial information. The identification unit 222 identifies the relevant items, for example, by referring to a database in which spatial information and relevant items are associated. Figure 5 shows an example of a database 60 according to the embodiment.

[0067] In the database 60 shown in Figure 5, "items," "keywords," and "requirements" are associated. The identification unit 222 refers to the database 60 to identify "items" associated with the "keywords" of spatial information as related items.

[0068] "Item" refers to information indicating the items of the environmental certification assessment. Examples of "items" include "V02," "S05," and "W06," but other notation methods are acceptable, and there are no particular limitations as long as the items in the environmental certification assessment can be identified. For example, "S05" means the "sound absorption" item in the "sound" concept of the WELL certification assessment.

[0069] A "keyword" is information used to identify related items included in spatial information. For example, in the case of image 50a shown in Figure 4(a), the spatial information is that there is a height-adjustable desk, and the "keyword" is ""height-adjustable desk".

[0070] "Requirements" is information that indicates the requirements for the review items. For example, if the "Item" is "V02", the "Requirement" is "Implementation of height-adjustable desks in 25% or more of the buildings".

[0071] Furthermore, if step S12 includes multiple pieces of spatial information, the identification unit 222 identifies the relevant items for each of the multiple pieces of spatial information.

[0072] The determination unit 223 determines whether the spatial information satisfies the requirements of the identified related item (S14). Specifically, the determination unit 223 identifies the requirements of the related item by referring to the database 60 and determines whether the spatial information satisfies the requirements. For example, if the related item is "V02", the determination unit 223 determines, based on the spatial information, whether "25% of height-adjustable desks have been introduced".

[0073] For example, as shown in Figure 4(a), when determining whether the requirement of "25% height-adjustable desks" is met based on spatial information contained in an image taken of a single desk, the determination unit 223 makes the determination in conjunction with spatial information contained in other images. In this case, the user 201 has taken images of each of the desks in a predetermined area of ​​the room space 100 during a preliminary interview, and the determination unit 223 calculates the percentage of height-adjustable desks by identifying the total number of desks and the number of height-adjustable desks based on the spatial information contained in these images.

[0074] Furthermore, the imaging of the indoor space 100 during the preliminary interview may be carried out using a camera equipped on a robot or drone. The robot or drone may recognize the desks and take images of each desk, or it may take images at predetermined positions where each desk can be imaged.

[0075] Furthermore, for example, if spatial information is included in an image of a relatively wide area of ​​the indoor space 100, the determination unit 223 calculates the proportion of height-adjustable desks by identifying the total number of desks and the number of height-adjustable desks included in the image.

[0076] If the determination unit 223 determines that the spatial information satisfies the requirements of the related item (Yes in S15), the output unit 225 outputs the related item (S16). For example, the output unit 225 outputs the related item for which the spatial information satisfies the requirements to the terminal device 30 and displays it on the display unit 35. This allows the server 20 to display on the display unit 35 the spatial authentication items that are likely to pass the examination when an application for spatial authentication is submitted.

[0077] If the determination unit 223 determines that the spatial information does not meet the requirements of the related item (No in S15), the output unit 225 outputs the improvement points (S17). The improvement points are the matters required for the spatial information to meet the requirements of the related item. In other words, the improvement points are the measures necessary for the spatial information to meet the requirements of the related item. For example, the output unit 225 outputs the related item for which the spatial information does not meet the requirements, along with the improvement points, to the terminal device 30.

[0078] By repeating the above process for each piece of spatial information, the results of the feasibility verification can be obtained. In other words, the results of the feasibility verification for the environment of the indoor space 100 obtained through interviews and other surveys conducted by user 201 can be obtained. The results of the feasibility verification are displayed, for example, on the display unit 35. Figure 6 is a diagram showing an example of a display screen according to the embodiment.

[0079] As shown in Figure 6, the display unit 35 displays tabs 70 and 71. Tab 70 displays a list of review items for which the spatial information meets the requirements. Tab 71 displays review items for which the spatial information does not meet the requirements, along with the items required for the spatial information to meet those review items.

[0080] By checking the display shown in Figure 6, user 201 can identify the review items that are likely to result in passing the environmental certification review for the indoor space 100 if an application is submitted.

[0081] Based on the above operations, the server 20 can cause the terminal device 30 to present review items that are likely to result in passing the application if an actual application is submitted, based on the images or audio obtained in the preliminary investigation. Therefore, the server 20 can more easily estimate the pass / fail result if user 201 applies for WELL certification.

[0082] [Example of operation 2] The server 20 according to this embodiment acquires location information indicating the location where an image or sound was generated, determines the reliability of spatial information based on the location information, and can determine whether the spatial information meets the requirements based on the determined reliability of spatial information. As a result, the server 20 according to this embodiment can determine whether the requirements of the related item are met by considering that the accuracy of the spatial information contained in the image or sound is low when the relationship between the location where the image or sound was generated and the location where the item, etc. that is the subject of the related item, is supposed to be installed is low. The operation of such server 20 operation example 2 will be described below. Figure 7 is a flowchart showing the operation of the server operation example 2 according to this embodiment.

[0083] First, the acquisition unit 221 acquires an image or audio (S21). Here, the image or audio may include location information indicating the location where the image or audio was generated. That is, the image may be accompanied by location information indicating the location where the image was captured. The location where the image was captured is location information indicating the location of the terminal device 30. The audio is accompanied by location information indicating the location where a conversation took place in the indoor space 100. When user 201 is holding the terminal device 30 and having a conversation, the location where the conversation took place is location information indicating the location of the terminal device 30.

[0084] Next, the acquisition unit 221 acquires spatial information and location information (S22). For example, the acquisition unit 221 inputs an image or audio to the generation AI 300 and acquires spatial information contained in the image or audio as output. The acquisition unit 221 also inputs an image or audio to the generation AI 300 and acquires location information indicated by the content of the image or audio as output. The acquisition unit 221 may also acquire location information attached to the image or audio. Alternatively, the acquisition unit 221 may acquire spatial information contained in the conversation and location information indicated by the content of the conversation by inputting text transcribed from the audio to the generation AI 300.

[0085] The identification unit 222 identifies relevant items from multiple items related to environmental certification (S23). The identification unit 222 identifies relevant items, for example, by referring to a database in which spatial information and relevant items are associated.

[0086] Next, the determination unit 224 determines whether the location information and related items are related (S24). A relationship between location information and related items means that the attributes of the item or other item subject to the requirements of the related item are related to the attributes of the space indicated by the location information.

[0087] The determination unit 224 determines that the location information and the related item are related if the location where the item subject to the requirements of the related item is installed is at a sufficiently close distance to the location indicated by the location information. A sufficiently close distance is, for example, within 3m, but is not particularly limited here.

[0088] In other words, the determination unit 224 determines that there is no relationship between the location information and the related item if the location where the item subject to the requirements of the related item is installed is far from the location indicated by the location information.

[0089] For example, if the related item is the presence or absence of blinds, the location where the item subject to the requirements of the related item (blinds) is installed is the window frame (the outer edge of the indoor space 100). In this case, if the location indicated by the location information, that is, the location where user 201 photographed the blinds, is in the center of the indoor space 100, the determination unit 224 determines that the location information and the related item are unrelated because the location where the item subject to the requirements of the related item is installed is far from the location indicated by the location information.

[0090] Furthermore, the determination unit 224 may determine that the location information and the related item are related if the area where the item subject to the requirements of the related item is installed coincides with the area that includes the location indicated by the location information.

[0091] The interior space 100 includes one or more areas, and the acquisition unit 221 acquires area attribute information indicating the attributes of each of the one or more areas, and information indicating the area from which spatial information was generated among the one or more areas. The area attribute information is information indicating the use or function of the area, such as "work area," "conference room area," and "rest area."

[0092] The acquisition unit 221 identifies, for example, the area from which spatial information was generated, that is, the area containing the location indicated by the location information, by referring to the floor data of the interior space 100. The floor data of the interior space 100 is, for example, CAD (Computer Aided Design) data or drawing data.

[0093] Furthermore, for example, the storage unit 23 stores a database that associates the review items with the attributes of the areas where the items subject to the requirements of the review items are installed. The decision unit 224 identifies the area where the items subject to the requirements of the related items are installed by referring to this database. In this way, the decision unit 224 identifies the area where the items subject to the requirements of the related items are installed and the area that includes the location indicated by the location information, and determines whether or not the location information and the related items are related.

[0094] More specifically, if the floor data is CAD data and the CAD data includes data that identifies an area, the acquisition unit 221 identifies the range and attributes of the area included in the floor data based on that data.

[0095] Furthermore, if the floor data is drawing data and area information (information indicating the range and attributes of an area) is associated with the drawing data, the acquisition unit 221 identifies the range and attributes of the area included in the floor data based on the area information. For example, if the drawing data has coordinates assigned to it and the coordinates are linked to areas, the acquisition unit 221 can identify the range and attributes of the area included in the floor data.

[0096] Furthermore, if the floor data does not include area-specific data (area information), the acquisition unit 221 can estimate and identify the range and attributes of the area included in the floor data based on the arrangement of furniture (chairs and desks), the arrangement of walls, etc. For example, the area in the floor data where furniture is arranged in a row can be identified as the office area. For example, the area enclosed by walls can be identified as the conference room area. For example, the area where sofas are placed can be identified as the break area.

[0097] For example, if the related item is "V02" and its requirement is "More than 25% of the office area must have height-adjustable desks," and the conversation that gave rise to the spatial information took place in the conference room area, the decision unit 224 determines that the location information and the related item are unrelated.

[0098] If the determination unit 224 determines that the location information and related items are related (Yes in S25), it determines that the reliability of the spatial information is high (S26). A high reliability of the spatial information means that it can be estimated that the accuracy of the spatial information is high. This is because, when the location information and related items are related, the image or sound containing the spatial information is generated at a distance that can actually be confirmed by visual inspection, etc.

[0099] If the determination unit 224 determines that the location information and related items are unrelated (No in S25), it determines a low confidence level for the spatial information (S27). A low confidence level for the spatial information means that it can be estimated that the accuracy of the spatial information is low. This is because, when the location information and related items are unrelated, the image or sound containing the spatial information is generated from a location far from where the spatial information should be acquired.

[0100] Once the reliability of the spatial information is determined by the determination unit 224, the process proceeds to step S14 in Figure 3, where the judgment unit 223 determines whether or not the spatial information satisfies the requirements of the related items.

[0101] At this time, the determination unit 223 determines whether the spatial information satisfies the requirements of the related item based on the reliability of the spatial information.

[0102] Specifically, the determination unit 223 maintains the numerical values, etc., indicated by the spatial information with high reliability and determines whether or not the requirements of the related items are met.

[0103] Specifically, the determination unit 223 corrects the numerical values, etc., indicated by the spatial information with low reliability so that they do not meet the requirements of the related item, and then determines whether or not the requirements of the related item are met based on the corrected spatial information. The determination unit 223 does not have to discard the spatial information with low reliability and perform the determination, or it may do a combination of these.

[0104] Based on the above operation, the server 20 can determine the accuracy of spatial information based on location information indicating the location where the image or sound was generated, and, taking the accuracy of the spatial information into consideration, determine whether or not the requirements of the relevant items are met. Therefore, the server 20 can help more accurately estimate the pass / fail result when user 201 applies for WELL certification.

[0105] [Differentiation] In the above embodiment, user 201 went to the indoor space 100 and conducted the interview by conversing with subject 202 in the indoor space 100. However, user 201 does not need to go to the indoor space 100.

[0106] For example, the subject 202 may conduct an interview by using a Mixed Reality (MR) device such as HoloLens to transmit information about the indoor space 100 to user 201, while simultaneously communicating with user 201 and answering questions from user 201.

[0107] Furthermore, in the above embodiment, user 201 and subject 202 were different people, but user 201 may be subject 202. In this case, the terminal device 30 is used by subject 202, and subject 202 may input the information necessary to obtain environmental certification in one or more areas by answering questions displayed on the terminal device 30.

[0108] [Effects, etc.] The technologies derived from the disclosures in this specification include, for example, the following. The technologies derived from the disclosures in this specification will be described below, along with the effects obtained by such technologies.

[0109] Technology 1 is a verification support device comprising: an acquisition unit 221 that acquires spatial information relating to the internal or external environment of an indoor space 100; an identification unit 222 that identifies relevant items among a plurality of items relating to environmental certification that are related to the spatial information based on the spatial information acquired by the acquisition unit 221; a determination unit 223 that determines whether or not the spatial information satisfies the requirements for the relevant items identified by the identification unit 222; and an output unit 225 that outputs the result of the determination made by the determination unit 223. The server 20 in the above embodiment is an example of a verification support device.

[0110] Such a verification support device can output review items that are likely to result in passing the application if an application is actually submitted, based on spatial information regarding the internal or external environment of the indoor space 100. Therefore, with such a verification support device, user 201 can more easily estimate whether they will pass or fail the WELL certification review if they apply for it.

[0111] Technology 2 is a verification support device for Technology 1, in which spatial information is information contained in the audio of a conversation that took place in the indoor space 100.

[0112] Such a verification support device can output review items that are likely to result in approval if an application were actually submitted, based on the audio of a conversation that took place in the indoor space 100. The information contained in the audio of the conversation may be the information contained in the audio data of the conversation, or it may be the information contained in the text obtained by transcribing the conversation based on the audio.

[0113] Technology 3 is a verification support device for Technology 1, in which spatial information is information contained in an image captured of the indoor space 100.

[0114] Such a verification support device can output review items that are likely to result in approval if an application were actually submitted, based on images taken of the indoor space 100.

[0115] Technology 4 is a verification support device according to any of Technologies 1 to 3, wherein the acquisition unit 221 further acquires location information indicating the location where the information that forms the basis of the spatial information was generated, and further includes a determination unit 224 that determines the reliability of the spatial information based on the location information acquired by the acquisition unit 221, and the judgment unit 223 determines whether or not the spatial information satisfies the requirements based on the reliability determined by the determination unit 224. The image or sound in the above embodiment is an example of the information that forms the basis of the spatial information.

[0116] Such a verification support device can determine the accuracy of spatial information based on location information indicating the location where an image or sound was generated, and, taking the accuracy of the spatial information into consideration, determine whether or not the requirements of the relevant items are met. Therefore, with such an environmental support device, user 201 can more accurately estimate whether or not they will pass the WELL certification review if they apply for it.

[0117] Technology 5 is a verification support device for Technology 4, wherein the indoor space 100 includes one or more areas, the acquisition unit 221 further acquires area attribute information indicating the attributes of each of the one or more areas, and information indicating the area from which spatial information was generated among the one or more areas, and the determination unit 224 determines the reliability based on related items and whether or not the area attribute information of the area where spatial information was generated is associated.

[0118] Such verification support devices can determine the accuracy of spatial information based on the area where the image or sound was generated, and, taking the accuracy of the spatial information into consideration, determine whether or not the requirements of the relevant items are met.

[0119] Technology 6 is a verification support device for Technology 5, in which the determination unit 224 determines a high level of confidence when related items and area attribute information of the area where spatial information was generated are associated, and determines a low level of confidence when related items and area attribute information of the area where spatial information was generated are not associated.

[0120] Such verification support devices can determine the reliability of spatial information to more accurately determine whether or not the requirements of the relevant items are met.

[0121] Technology 7 is a verification support device of any of Technologies 1 to 6, wherein the output unit 225 outputs the relevant items for which the determination unit 223 has determined that the spatial information meets the requirements.

[0122] Such verification support devices can help estimate which review items are most likely to result in passing an environmental certification application when reviewing an indoor space 100.

[0123] Technology 8 is a verification support device according to any of Technologies 1 to 7, in which the output unit 225 outputs the information required for spatial information to meet the requirements for related items that the determination unit 223 has determined do not meet the requirements for.

[0124] Such a verification support device can output the necessary information to pass the environmental certification assessment for an indoor space 100, specifically for assessment items that are likely to result in failure if the application is submitted.

[0125] Technology 9 is a verification support system 10 comprising a verification support device of any of technologies 1 to 8 and a terminal device 30 that receives the results output by the output unit 225 and presents the received results to the user 201.

[0126] Such a verification support system 10 can cause the terminal device 30 to present review items that are likely to result in passing the application if an actual application is submitted, based on image data, audio data, or text data obtained from a preliminary investigation of conversations contained in the audio. Therefore, such a verification support system 10 can more easily estimate whether a user 201 will pass or fail the WELL certification review if they apply for it.

[0127] Technology 10 is a verification support method performed by a computer, comprising: an acquisition step of acquiring spatial information relating to the internal or external environment of an indoor space 100; an identification step of identifying relevant items among a plurality of items relating to environmental certification that are related to the spatial information based on the spatial information acquired in the acquisition step; a determination step of determining whether the spatial information satisfies the requirements for the relevant items identified in the identification step; and an output step of outputting the result of the determination made in the determination step.

[0128] This verification support method can output review items that are likely to result in passing the application if an application is actually submitted, based on spatial information regarding the internal or external environment of the indoor space 100. Therefore, this verification support method makes it easier for user 201 to estimate whether they will pass or fail the WELL certification review if they apply for it.

[0129] Technology 11 is a program that causes a computer to execute the verification support method of Technology 10.

[0130] Such a program can help make it easier to estimate whether user 201 will pass or fail the WELL certification review.

[0131] (Other embodiments) Although embodiments have been described above, this disclosure is not limited to the embodiments described above.

[0132] For example, in the above embodiment, the verification support system was implemented by multiple devices. When the verification support system is implemented by multiple devices in this way, the components of the verification support system (especially the functional components) may be distributed among the multiple devices in any manner.

[0133] Furthermore, the verification support system may be implemented as a single device. For example, the verification support system may be implemented as a single device equivalent to a verification support device.

[0134] Furthermore, while the verification support device was implemented by a single device, it may also be implemented by multiple devices. If the verification support device is implemented by multiple devices, the components of the verification support device may be distributed among the multiple devices in any way.

[0135] Furthermore, the communication method between devices in the above embodiment is not particularly limited. In addition, relay devices (such as gateway devices), which are not shown, may be involved in the communication between devices.

[0136] Furthermore, in the above embodiment, a process executed by a specific processing unit may be executed by another processing unit. Also, the order of multiple processes may be changed, or multiple processes may be executed in parallel.

[0137] Furthermore, in the above embodiment, each component may be realized by executing a software program suitable for each component. Each component may also be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.

[0138] Furthermore, each component may be implemented by hardware. For example, each component may be a circuit (or integrated circuit). These circuits may form a single circuit as a whole, or they may be separate circuits. Also, each of these circuits may be a general-purpose circuit or a dedicated circuit.

[0139] Furthermore, the general or specific embodiments of this disclosure may be implemented as a system, apparatus, method, integrated circuit, computer program, or recording medium such as a computer-readable CD-ROM. They may also be implemented in any combination of systems, apparatus, methods, integrated circuits, computer programs, and recording media.

[0140] Furthermore, this disclosure may be implemented as a verification support method executed by a computer, such as the verification support system (verification support device) of the above embodiment, or as a program (in other words, a computer program product) for causing a computer to execute the verification support method. Also, this disclosure may be implemented as a computer-readable non-temporary recording medium on which such a program is recorded.

[0141] Furthermore, this disclosure also includes forms obtained by applying various modifications to each embodiment that a person skilled in the art could conceive, or forms realized by arbitrarily combining the components and functions of each embodiment without departing from the spirit of this disclosure. [Explanation of Symbols]

[0142] 10. Verification Support System 20 Servers (Verification Support Devices) 221 Acquisition Department 222 Specific part 223 Judgment section 224 Decision Section 225 Output section 30 Terminal devices Images 50a, 50b, 50c 60 databases 100 Indoor space 201 users

Claims

1. An acquisition unit that acquires spatial information relating to the internal or external environment of an indoor space, Based on the spatial information acquired by the acquisition unit, the identification unit identifies relevant items related to the spatial information from among a plurality of items relating to environmental certification, A determination unit that determines whether the spatial information satisfies the requirements for the related items identified by the identification unit, The system includes an output unit that outputs the result of the determination performed by the determination unit. Verification support device.

2. The spatial information is information contained in the audio of a conversation that took place in the aforementioned indoor space. The verification support device according to claim 1.

3. The spatial information is information contained in the image captured of the interior space. The verification support device according to claim 1.

4. The acquisition unit further acquires location information indicating the location where the information that forms the basis of the spatial information was generated, Furthermore, the system includes a determination unit that determines the reliability of the spatial information based on the position information acquired by the acquisition unit, The determination unit determines whether the spatial information satisfies the requirements based on the confidence level determined by the decision unit. A verification support device according to any one of claims 1 to 3.

5. The aforementioned interior space includes one or more areas, The acquisition unit further acquires area attribute information indicating the attributes of each of the one or more areas, and information indicating the area among the one or more areas where the spatial information was generated. The determination unit determines the reliability based on whether the related items and the area attribute information of the area where the spatial information was generated are associated with each other. The verification support device according to claim 4.

6. The determination unit determines the reliability to be high when the related items and the area attribute information of the area where the spatial information was generated are associated, and determines the reliability to be low when the related items and the area attribute information of the area where the spatial information was generated are not associated. The verification support device according to claim 5.

7. The output unit outputs the related items for which the determination unit has determined that the spatial information satisfies the requirements. A verification support device according to any one of claims 1 to 3.

8. The output unit outputs the information required for the spatial information to satisfy the requirements for the related item for which the determination unit has determined that the spatial information does not satisfy the requirements. A verification support device according to any one of claims 1 to 3.

9. A verification support device according to any one of claims 1 to 3, The system includes a terminal device that receives the result output by the output unit and presents the received result to the user. Verification support system.

10. A verification support method performed by a computer, An acquisition step to acquire spatial information regarding the internal or external environment of an indoor space, Based on the spatial information acquired in the acquisition step, the identification step identifies relevant items related to the spatial information from among a plurality of items relating to environmental certification, A determination step which determines whether the spatial information satisfies the requirements for the related items identified in the specified step, The process includes an output step which outputs the result of the determination performed in the determination step, Verification support methods.

11. A program for causing a computer to execute the verification support method described in claim 10.

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