Information processing systems, image management servers, information processing methods, programs

Abstract

To generate text information using an appropriate model. [Solution] In the present invention, the image management server 40 includes a first model 4004A that has learned the correspondence between three-dimensional image information of an article and a two-dimensional image of an article and information relating to the article, or the correspondence between three-dimensional image information of an article and a two-dimensional image of an article and information relating to the article and input information input to the terminal device; a second model 4004B that has learned the correspondence between three-dimensional image information of an article and input information input to the terminal device; and a text information generation unit 45 that generates text information relating to an article using the three-dimensional image information of an article, the two-dimensional image of an article, information relating to an article, and the first model selected by the terminal device, or generates text information relating to an article using the three-dimensional image information of an article and the second model selected by the terminal device.

Description

Technical Field

[0001] The present invention relates to an information processing system, an image management server, an information processing method, and a program.

Background Art

[0002] There is known a generative AI that can generate text information from various contents (articles, images, voices, etc.). Conventional AIs only presented the most appropriate answer from the learned data, but generative AIs can continuously learn by themselves, learn information and data not given by humans, and output original contents that have never been input.

[0003] Techniques for improving the quality of learning data in machine learning are known (see, for example, Patent Document 1). Patent Document 1 discloses a technique in which a learning model outputs a trouble recovery procedure using trouble information received from a user as an input, and based on skill information indicating the user's trouble recovery skills, sets an evaluation weight regarding the usefulness of the trouble recovery procedure used for re-learning by the learning model.

Summary of the Invention

Problems to be Solved by the Invention

[0004] The present invention provides a technique for generating text information with an appropriate model.

Means for Solving the Problems

[0005] In view of the above problems, the present invention is an information processing system including an image management server that manages three-dimensional image information of an article, and a terminal device capable of communicating with the image management server, The image management server includes a first model that has learned the correspondence between three-dimensional image information of an article and a two-dimensional image of an article and information relating to the article, or the correspondence between three-dimensional image information of an article and a two-dimensional image of an article and information relating to the article and input information input to the terminal device; a second model that has learned the correspondence between three-dimensional image information of an article and input information input to the terminal device; and a text information generation unit that generates text information relating to an article using the three-dimensional image information of an article, a two-dimensional image of an article, information relating to an article, and the first model selected by the terminal device, or generates text information relating to an article using the three-dimensional image information of an article selected by the terminal device and the second model. The terminal device has a display control unit that displays a display screen containing the text information. [Effects of the Invention]

[0006] Text information can be generated using an appropriate model. [Brief explanation of the drawing]

[0007] [Figure 1] This is an overall configuration diagram of an example of an information processing system. [Figure 2] This is a hardware configuration diagram of an example of an image management server, property information management server, or terminal device. [Figure 3] This is an example functional configuration diagram illustrating the functions of an image management server, a property information management server, and terminal devices within an information processing system. [Figure 4] This is a conceptual diagram showing an example of an image information management table according to this embodiment. [Figure 5] This is a conceptual diagram showing an example of a property management information management table according to this embodiment. [Figure 6] This is an explanatory diagram displayed by the terminal device during text information generation processing and model update processing. [Figure 7] This is an explanatory diagram displayed by the terminal device during text information generation processing and model update processing. [Figure 8] This is a sequence diagram showing an example of a model update process. [Figure 9] This is an example flowchart illustrating how the decision-making unit determines whether to update the first tacit knowledge model or the second tacit knowledge model. [Figure 10] This diagram shows an example of a property management screen. [Figure 11] This diagram shows an example of a property management screen. [Figure 12] This is a diagram showing an example of a property display screen. [Figure 13] This figure shows an example of a message that pops up on the property listing screen. [Figure 14] This is a sequence diagram showing an example of text information generation processing using the first implicit knowledge model. [Figure 15] This figure shows an example of a property display screen during the inference phase. [Figure 16] This figure shows an example of a message that pops up on the property listing screen. [Figure 17] This figure shows an example of text information displayed on a text display screen. [Figure 18] This sequence diagram shows an example of a process in which an image management server communicates with a property information management server to update the model. [Figure 19] This is a sequence diagram showing an example of a model update process. [Figure 20] This is a sequence diagram showing an example of text information generation processing using the second implicit knowledge model. [Figure 21] This figure shows an example text display screen containing text information generated based on the second tacit knowledge model. [Figure 22] This is a sequence diagram showing an example of a model update process. [Figure 23] This is an example flowchart illustrating how the decision-making unit determines whether to update the first tacit knowledge model or the second tacit knowledge model. [Figure 24] This is a diagram showing an example of a property display screen. [Figure 25] It is a sequence diagram showing an example of text information generation processing in which a terminal device directly logs in to an image management server and uses a second tacit knowledge model. [Figure 26] It is a diagram showing an example of a property display screen when a terminal device directly logs in to an image management server. [Figure 27] It is a diagram showing an example of a text display screen. [Figure 28] It is an overall configuration diagram of an example of an information processing system. [Figure 29] It is a functional configuration diagram of an example explaining the functions of an image management server, a property information management server, and a terminal device in an information processing system. [Figure 30] It is a sequence diagram showing an example of generation processing of text information and image information. [Figure 31] It is a diagram showing the generated image information displayed on the text display screen.

Mode for Carrying Out the Invention

[0008] Hereinafter, as an example of a mode for carrying out the present invention, an information processing system and an information processing method performed by the information processing system will be described with reference to the drawings.

[0009] <Supplement Regarding Tacit Knowledge> In industries such as civil engineering and construction, BIM / CIM is being promoted for the purpose of addressing issues such as a declining birthrate and aging population, and improving labor productivity.

[0010] BIM is an abbreviation for Building Information Modeling, and it is a solution for utilizing information in all processes from building design, construction to maintenance management, using a building database that adds attribute data such as cost, finish, and management information to a three-dimensional digital model of a building (hereinafter referred to as a 3D model) created on a computer.

[0011] CIM stands for Construction Information Modeling and is a solution for the civil engineering sector (including infrastructure such as roads, power, gas, and water) that was proposed following the example of BIM, which was being developed in the building sector. Similar to BIM, CIM aims to improve the efficiency and sophistication of the entire construction production system by sharing information among stakeholders, primarily using 3D models.

[0012] A crucial aspect of promoting BIM and CIM implementation is how to effectively utilize the BIM and CIM systems that have been constructed.

[0013] Specifically, 3D models restored using BIM and CIM can be used not only for design and construction purposes, but also for other tasks such as maintenance and site surveys. In other words, they can be used not only as design drawings, but also for other purposes such as recording information in the 3D model and sharing it with others.

[0014] Furthermore, since the work performed on the 3D model can be recorded as a log, if tacit knowledge can be extracted from this data, it can be effectively used for transferring skills from experienced personnel to younger ones. This is expected to lead to front-loading of operations and talent development.

[0015] Focusing on the transmission of tacit knowledge, the challenge lies not only in 3D models but also in 2D data (such as 3D spherical images and planar images), as mentioned above, in how to transmit tacit knowledge between different tasks and among users with varying levels of skill.

[0016] Specifically, because tacit knowledge is qualitative and difficult to quantify, even if an tacit knowledge model is generated from tacit knowledge, it is difficult to secure user trust in the tacit knowledge model, making it difficult to promote its use. For example, if the field of expertise of the tacit knowledge model differs from that of the user, no matter how excellent the tacit knowledge model is, it will have no value to the user. Similarly, if the knowledge level of the tacit knowledge model is lower than the user's knowledge level, it will have no value to the user.

[0017] However, it is also true that tacit knowledge models can give users new perspectives and insights, and by using tacit knowledge models, even inexperienced users have great potential to acquire know-how and skills and apply them to their work.

[0018] Furthermore, the first and second servers may each manage related information. For example, the first server might hold property management information, while the second server manages the property's 3D image information. Assuming the second server creates tacit knowledge models, it can generate a first tacit knowledge model (an example of the first model) using item inspection information, or a second tacit knowledge model (an example of the second model) that does not use item inspection information. In this case, for example, the first tacit knowledge model could be used when you want to generate expert knowledge and text information specific to a particular item, while the second tacit knowledge model could be used when you want to generate expert knowledge and general text information applicable to similar items in general. If the user can specify which tacit knowledge model to use, they can choose between tacit knowledge specific to a particular item or tacit knowledge applicable to similar items in general.

[0019] Therefore, in this embodiment, we will describe a system that allows users to switch between a first tacit knowledge model that uses property management information and a second tacit knowledge model that does not use property management information. Property management information is, for example, inspection information for items, but is not limited to this.

[0020] <About Terminology> A user is someone who uses the text information (or other content such as images) generated by the tacit knowledge model. A data provider is someone who provides the data (such as audio information, text information, operation information, images, 3D data, etc.) that the tacit knowledge model uses for training.

[0021] Tacit knowledge is knowledge based on an individual's experience, intuition, etc. An tacit knowledge model is a model that learns tacit knowledge and outputs answers based on that learned tacit knowledge in response to questions. A model is a mechanism or artificial intelligence (AI) that learns the correspondence between input data and output data and outputs output data for given input data. Note that the output data does not depend on whether or not there is training data.

[0022] A property can be any space where items can be placed, such as a facility or a room within a facility. Items are things that are placed in the property. The types of items placed will vary depending on the function of the facility.

[0023] For example, properties include real estate, factories, construction sites, research facilities, medical facilities, farmland, warehouses, and equipment requiring maintenance. Goods include furniture, materials, equipment, heavy machinery, tools, instruments, materials, cultured products, and food.

[0024] Information concerning an item includes the item's name and the name of the property where the item is located, but it is preferable that the information be tacit knowledge. For example, information concerning an item may include information known only to a specific user. In this embodiment, information concerning an item is described using the term "inspection information." Other information concerning an item may include the item's instruction manual, daily reports of work performed on the item, an item's quotation, or an item's drawing. Inspection may also include investigation, testing, verification, review, checking, etc.

[0025] Three-dimensional image information of an object refers to the image of the object displayed on a screen. While three-dimensional image information of an object is a two-dimensional image projected from the three-dimensional model shape of the object, the user can change their viewpoint. Furthermore, three-dimensional image information of an object may also be a 360-degree spherical image.

[0026] [First Embodiment] <Example System Configuration> Figure 1 is an overall configuration diagram of an information processing system 100 according to an embodiment of the present invention. The information processing system 100 of this embodiment includes a terminal device 10, an image management server 40, and a property information management server 20, which are examples of input / output devices. However, the terminal device 10 may be connected to the image management server 40 or the property information management server 20 as needed, and the information processing system 100 does not necessarily have to include it.

[0027] The image management server 40 (an example of a second server) is one or more information processing devices that can communicate with the terminal device 10 via a communication network N. The image management server 40 manages three-dimensional image information of the object and also has an implicit knowledge model and a large-scale language model. The image management server 40 uses these to return text information containing the implicit knowledge to the user. The image management server 40 may be a web server that returns processing results to the terminal device 10 in response to requests from the terminal device 10. A server is a computer or software that performs the function of providing information and processing results in response to requests from a client.

[0028] The image management server 40 may support cloud computing. Cloud computing refers to a usage model in which network resources are utilized without being aware of specific hardware resources. Cloud computing can take the form of SaaS (Software as a Service), PaaS (Platform as a Service), or IaaS (Infrastructure as a Service), and any of these forms is acceptable. Therefore, the image management server 40 does not need to be housed in a single enclosure or provided as a single unit of equipment. The image management server 40 may have its functions distributed among multiple information processing devices, or multiple information processing devices may each have all the functions, and the information processing device may be switched by load balancing or other means.

[0029] Furthermore, instead of the image management server 40 having both an implicit knowledge model and a large-scale language model, the image management server 40 may call an API (Application Programming Interface) exposed by an external system and utilize at least one of the implicit knowledge model or the large-scale language model.

[0030] The property information management server 20 (an example of the first server) is one or more information processing devices that can communicate with the terminal device 10 via the communication network N. The property information management server 20 manages property management information. Property management information is, for example, a string of characters such as text, and the property information management server 20 does not have image information, or if it does, it is merely a photograph or something similar that is different from the images managed by the image management server 40. The property information management server 20 is a server for users to update property management information as needed to manage the progress of construction work on the property and the placement of items.

[0031] The property information management server 20 may be a web server that returns processing results to the terminal device 10 in response to requests from the terminal device 10. The property information management server 20 can communicate with the image management server 40 via the communication network N. The property information management server 20 may also support either cloud computing or on-premises deployment.

[0032] It is preferable that the image management server 40 and the property information management server 20 are linked to a degree that enables single sign-on. The image management server 40 can communicate with the property information management server 20 via an API exposed by the property information management server 20. Alternatively, the image management server 40 and the property information management server 20 may have a business partnership.

[0033] Terminal device 10 is a general-purpose information processing terminal used by users of the information processing system 100. Terminal device 10 runs a web browser and a dedicated native application on the image management server 40 or property information management server 20. When terminal device 10 runs a web browser, terminal device 10 and the image management server 40 or property information management server 20 run a web application. A web application is an application that operates through the cooperation of a program written in a programming language (e.g., JavaScript®) that runs on a web browser and a program on the web server (image management server 40). When a web application is executed, the processing of this embodiment may be performed by the image management server 40 or property information management server 20, or by terminal device 10 that receives the web application.

[0034] An application that cannot be executed unless it is installed on the terminal device 10 is called a native application. In this embodiment as well, the application executed on the terminal device 10 may be either a web application or a native application. In this case as well, the processing in this embodiment may be performed by the image management server 40 or by the terminal device 10 that is running the native application.

[0035] Terminal device 10 can be, for example, a PC (Personal Computer), a smartphone, a PDA (Personal Digital Assistant), or a tablet device. Alternatively, terminal device 10 can be any device capable of running a web browser or native applications. Terminal device 10 may also be an electronic whiteboard, a television receiver, a glasses device, or a wearable device. Furthermore, there may be multiple terminal devices 10.

[0036] The terminal device 10 can communicate with the image management server 40 and the property information management server 20 via the communication network N. The communication network N is constructed using the Internet, LAN (Local Area Network), provider services, etc. The communication network N may include not only wired communication but also mobile communication networks such as 3G (3rd Generation), WiMAX (Worldwide Interoperability for Microwave Access), LTE (Long Term Evolution), and wireless LAN networks. Furthermore, the terminal device 10 can communicate using short-range communication technologies such as Bluetooth (registered trademark) and NFC (registered trademark, Near Field Communication).

[0037] In Figure 1, the image management server 40, the property information management server 20, and the terminal device 10 communicate via the communication network N. However, users may operate the image management server 40 or the property information management server 20 directly from a console, or the terminal device 10 may have the functions of the image management server 40 or the property information management server 20. In other words, the terminal device 10 may provide the functions of the information processing system 100 in a standalone form.

[0038] <Example Hardware Configuration> Figure 2 is a hardware configuration diagram of the image management server 40, property information management server 20, or terminal device 10 according to this embodiment. The hardware configurations of the image management server 40 or property information management server 20 are indicated by reference numerals in the 400 series. The hardware configurations of the terminal device 10 are indicated by reference numerals in the 100 series.

[0039] The hardware configuration of the terminal device 10 will be described below, but the hardware configuration of the image management server 40 or the property information management server 20 is the same and will therefore not be described.

[0040] The terminal device 10 is built using a computer and, as shown in Figure 2, includes a CPU (Central Processing Unit) 101, ROM (Read Only Memory) 102, RAM (Random Access Memory) 103, HD (Hard Disk) 104, HDD (Hard Disk Drive) controller 105, display I / F 106, and communication I / F 107.

[0041] Of these components, the CPU 101 controls the overall operation of the terminal device 10. The ROM 102 stores programs used to drive the CPU 101, such as the IPL (Initial Program Loader). The RAM 103 is used as the work area for the CPU 101.

[0042] HD104 stores various data such as programs. The HDD controller 105 controls the reading or writing of various data to HD10 according to the control of the CPU 101.

[0043] The display I / F 106 is a circuit that displays images on the display 106a. The display 106a is a type of display unit such as a liquid crystal or organic EL (electroluminescence) that displays various information such as cursors, menus, windows, characters, or images. The communication I / F 107 is an interface used for communication with other devices.

[0044] If the terminal device 10 is a glass device, the terminal device 10 may use a circuit that displays an image on a lens or the like, which is a transmissive reflective material, instead of the display I / F 106.

[0045] Communication I / F107 is, for example, a NIC (Network Interface Card) that supports TCP (Transmission Control Protocol) / IP (Internet Protocol).

[0046] Furthermore, the terminal device 10 is equipped with a sensor I / F 108, an audio input / output I / F 109, an input I / F 110, a media I / F 111, a DVD-RW (Digital Versatile Disk Rewritable) drive 112, and a GPU 114.

[0047] The sensor interface 108 is an interface for receiving detection information from various sensors. The sound input / output interface 109 is a circuit that processes the input and output of sound signals between the speaker 109a and the microphone 109b according to the control of the CPU 101. The input interface 110 is an interface for connecting a predetermined input means to the terminal device 10.

[0048] Keyboard 110a is a type of input device equipped with multiple keys for inputting characters, numbers, various instructions, etc. Mouse 110b is a type of input device used for selecting and executing various instructions, selecting processing targets, moving the cursor, and operating on the display screen, etc.

[0049] The media interface 111 controls the reading or writing (storage) of data to or from a recording medium 111a such as flash memory. The DVD-RW drive 112 controls the reading or writing of various types of data to or from a DVD-RW 112a, which is an example of a removable recording medium. Note that the DVD-RW may be a DVD-R or the like. The DVD-RW drive 112 may also be a Blu-ray drive that controls the reading or writing of various types of data to or from a Blu-ray Disc (registered trademark). The GPU (Graphics Processing Unit) is an image processing processor used to display images and the like on a screen.

[0050] Furthermore, the terminal device 10 is equipped with a bus line 113. The bus line 113 is an address bus, data bus, etc., for electrically connecting each component such as the CPU 101.

[0051] Furthermore, recording media such as HDs and CD-ROMs on which the above programs are stored can be provided domestically or internationally as program products. The terminal device 10 realizes the information processing method according to the present invention by executing, for example, the program according to the present invention.

[0052] <About the features> Figure 3 is an example of a functional configuration diagram illustrating the functions of the image management server 40, the property information management server 20, and the terminal device 10 in the information processing system 100 according to this embodiment.

[0053] <<Terminal device>> As shown in Figure 3, the terminal device 10 includes a transmitting / receiving unit 11, an input receiving unit 12, a display control unit 13, an audio control unit 14, a conversion unit 15, and a storage / reading unit 19. Each of these units is a function or means of functioning, realized by any of the components shown in Figure 2 operating according to instructions from the CPU 101 that follow a program deployed from the HD 104 onto the RAM 103. The terminal device 10 also has a storage unit 1000 constructed from at least one of the RAM 103 and HD 104 shown in Figure 2.

[0054] The transmitting / receiving unit 11 is an example of a transmission means and is implemented by commands from the CPU 101 shown in Figure 2 and the communication I / F 107, and transmits and receives various data (or information) with other terminals, devices, or systems via the communication network N.

[0055] The input receiving unit 12 is an example of an input receiving means and is mainly implemented by commands from the CPU 101 shown in Figure 2, as well as the input I / F 110 and the sound input / output I / F 109, and accepts various inputs from the user using the microphone 109b, keyboard 110a and mouse 110b.

[0056] The display control unit 13 is an example of a display control means and output means, and is implemented by commands from the CPU 101 shown in Figure 2 and the display I / F 106, and causes various images and screens to be displayed on the display 106a, which is an example of a display unit. If the terminal device 10 is a glasses device, the display control unit 13 causes a virtual image to be displayed on a transmissive reflective member such as a lens instead of the display I / F 106.

[0057] The audio control unit 14 is an example of an audio control means and output means, and is implemented by commands from the CPU 101 shown in Figure 2 and the audio input / output I / F 109, causing the speaker 109a, which is an example of an audio playback unit, to play sound.

[0058] The conversion unit 15 is an example of a processing means, and is implemented by instructions from the CPU 101 shown in Figure 2. It performs processing to convert text information into audio information and processing to convert audio information into text information.

[0059] The storage / reading unit 19 is an example of a storage control means and is executed by instructions from the CPU 101 shown in Figure 2, as well as by the HD 104, media I / F 111, and DVD-RW drive 112. It performs processing such as storing various data in the storage unit 1000, recording media 111a, and DVD-RW 112a, and reading various data from the storage unit 1000, recording media 111a, and DVD-RW 112a.

[0060] <Image management server functional configuration> The image management server 40 includes a transmission / reception unit 41, a screen generation unit 42, a determination unit 43, a specification unit, a text information generation unit 45, an update unit 46, a processing unit 47, a decision unit 48, and a storage / reading unit 49. Each of these units is a function or means of functioning, realized by any of the components shown in Figure 2 operating according to instructions from the CPU 401 following a program deployed from the HD 404 onto the RAM 403. The image management server 40 also has a storage unit 4000 constructed from the HD 404 shown in Figure 2. The storage unit 4000 is an example of a storage means.

[0061] In Figure 3, all functions are installed in a single image management server 40, but the image management server 40 may also be configured to distribute each function across multiple computers.

[0062] The transmitting / receiving unit 41 is an example of a transmission means and is implemented by commands from the CPU 401 shown in Figure 2 and the communication I / F 407, and transmits and receives various data (or information) with other terminals, devices, or systems via the communication network N.

[0063] The screen generation unit 42 is an example of a screen generation means and is implemented by instructions from the CPU 401 shown in Figure 2, generating various screens. When the terminal device 10 runs a web application, screen information is created using HTML, XML, CSS (Cascade Style Sheet), and JavaScript (registered trademark), etc. Therefore, screen information may also be referred to as a web application. When the terminal device 10 runs a client application, the screen information is held by the terminal device 10, and the information to be displayed is transmitted in XML, etc.

[0064] The decision unit 43 is an example of a decision-making mechanism, and is implemented by instructions from the CPU 401 shown in Figure 2, and performs various decisions described later.

[0065] The identification unit 44 is an example of an identification means, and is implemented by instructions from the CPU 401 shown in Figure 2, and identifies the target image.

[0066] The text information generation unit 45 is an example of a text information generation means, and is implemented by instructions from the CPU 401 shown in Figure 2. It obtains implicit knowledge comments from an implicit knowledge model and generates text information based on a large-scale language model 4005.

[0067] The update unit 46 is an example of an update means, and is implemented by instructions from the CPU 401 shown in Figure 2, and performs an update of the implicit knowledge model, which will be described later.

[0068] The processing unit 47 is implemented by instructions from the CPU 401 shown in Figure 2, and performs processing to associate three-dimensional image information and captured images with text information, which is an example of generated information, according to the processing requested by the user. The generated information is generated based on the three-dimensional image information and captured images with inspection information or inspection information. The processing to associate the information includes processing to display both on one screen, processing to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B, and processing to generate text information based on the first tacit knowledge model 4004A or the second tacit knowledge model 4004B. The processing unit 47 requests processing from the screen generation unit 42 or the text information generation unit 45, etc., depending on the content of the processing.

[0069] The decision unit 48 is implemented by instructions from the CPU 401 shown in Figure 2, and determines whether to use the first implicit knowledge model 4004A or the second implicit knowledge model 4004B. The following are examples of the decision methods. • User choice. The decision is made automatically (without user confirmation) or semi-automatically (recommending to the user and requesting confirmation) when certain conditions are met. These conditions include, for example, cases where the question in the input information (voice, text) relates to an item (e.g., related to inspection details). In this case, the second tacit knowledge model 4004B may not be able to generate appropriate text information, so it is preferable to select the first tacit knowledge model 4004A.

[0070] The storage / reading unit 49 is an example of a storage control means and is executed by instructions from the CPU 401 shown in Figure 2, as well as by the HD 404, media I / F 411, and DVD-RW drive 412. It performs processing such as storing various data in the storage unit 4000, recording media 411a, and DVD-RW 412a, and reading various data from the storage unit 4000, recording media 411a, and DVD-RW 412a. The storage unit 4000, recording media 411a, and DVD-RW 412a are examples of storage means.

[0071] The memory unit 4000 contains an image information management DB 4001, a model shape management DB 4002, a caption model 4003, a first tacit knowledge model 4004A, a second tacit knowledge model 4004B, and a large-scale language model 4005.

[0072] Image information management DB 4001 manages three-dimensional image information related to the property. This three-dimensional image information is information that visually represents the items (also called models) placed on the property. Model shape management DB 4002 manages three-dimensional model shape information of the items placed on the property. Image management server 40 can generate three-dimensional image information related to the property from the three-dimensional model shape information. Three-dimensional model shape information is information that depicts the item in three dimensions, such as a three-dimensional model of the item or a three-dimensional point cloud. Three-dimensional model shape information may be composed of polygons or CAD. In addition, it is preferable that image information management DB 4001 or model shape management DB 4002 store wide-field images such as 360-degree images of the property.

[0073] Caption model 4003 is a model that is generated by performing a training process using image and caption comment combinations as training data, and enables a computer to function to output caption comments based on images. Caption comments are explicit knowledge and are used as a term in contrast to tacit knowledge. Here, caption comments are text data, such as comments expressed in audio or text that describe an image. Caption comments relating to objects or articles are associated with the identification information of those objects or articles.

[0074] The first tacit knowledge model 4004A is generated by performing a learning process using the correspondence between three-dimensional image information and captured images of an item and inspection information as training data, and is a model that causes a computer to function to output tacit knowledge comments based on the images. Here, the tacit knowledge comments are text data, and are comments expressed in voice or text, excluding caption comments, that is, comments relating to content not expressed in the image. The first tacit knowledge model 4004A may also be generated by performing a learning process using the correspondence between three-dimensional image information and captured images of an item and inspection information and comments as training data.

[0075] The second tacit knowledge model 4004B does not use inspection information for learning. In other words, the second tacit knowledge model 4004B is generated by performing a learning process using the correspondence between three-dimensional image information of an item and comments as learning data, and it is a model that makes the computer function to output tacit knowledge comments based on the image.

[0076] The large-scale language model 4005 is a computer language model that is generated by performing a training process using a vast amount of unlabeled text as training data and consists of an artificial neural network with many parameters. The large-scale language model 4005 can capture much of the syntax and meaning of human language by being sufficiently trained with context-learning techniques such as next sentence prediction, which understands context by determining whether sentence 1 and sentence 2 are consecutive, and the masked language model, which understands context by masking words in a sentence and predicting the masked words from the words before and after them.

[0077] <<Image Information Management Table>> Figure 4 is a conceptual diagram showing an example of an image information management table according to this embodiment. The storage unit 4000 has an image information management DB 4001 constructed, which is composed of the image information management table shown in Figure 4.

[0078] This image information management table manages model identification information, location information, item information, inspection information, 3D image information, and one or more captured images, associated with the item identification information. An item can be any space where items can be placed, such as a facility or a room within a facility. The types of items placed will vary depending on the function of the facility.

[0079] Property identification information is identification information that uniquely identifies a property.

[0080] Model identification information is identification information that identifies items placed on a property. Each item is associated with the three-dimensional model shape in the model shape management DB4002 by the model identification information. This model identification information is the same as the model identification information in the property information management server 20, but it may also be associated with the model identification information in the property information management server 20 using a conversion table.

[0081] • Item information refers to the names of the items placed on the property. In Figure 4, item names are shown assuming a construction site or building site, but item names will vary depending on the property. Also, in Figure 4, properties and items are associated, but items can be registered independently of properties.

[0082] • Location information is information that indicates the position of an item within a virtual space generated as a property, using three-dimensional coordinates (XYZ). XYZ can be the centroid of the item, or the coordinates of the vertices of the circumscribing cube.

[0083] Inspection information is information about inspections performed by users on items within a property. Inspection information varies depending on the item and the purpose of the inspection, but may include, for example, whether there are any abnormalities in the item, dimensions, inspection date and time, and inspector. Inspection information is obtained from the property information management server 20. The property information management server 20 holds master inspection information, and the image management server 40 obtains and stores inspection information from the property information management server 20. This is because item inspections are performed on the property information management server 20. For this reason, inspection information in the image information management table may only exist for some items, or even if inspection information exists, it may not be the most up-to-date inspection information.

[0084] In addition, the inspection information may also be photographic information of the inspected items. In this case, the update unit 46 analyzes the photographic information to extract features such as the items shown and the condition of any damage, and treats them as string-based inspection information.

[0085] In addition to inspection information, instruction manuals, daily reports, quotations, drawings, etc., may also be registered in the image information management table.

[0086] Three-dimensional image information refers to information that visually represents an object, such as three-dimensional model shape information or a 360-degree image. In Figure 4, three-dimensional image information is placed in the image information management table, but the three-dimensional image information may also be stored in the model shape management DB4002.

[0087] Images 1 and 2 are two-dimensional images obtained from the property information management server 20 along with inspection information. The property information management server 20 holds the master images. Images 1 and 2 are, for example, two-dimensional images of items taken by an inspector during an inspection. Therefore, if the inspection information is stored in the image information management DB 4001, Images 1 and 2 are often also stored there. There are multiple images, such as Images 1 and 2, because items may be photographed each time an inspection is performed. There may be more than three images. However, the most recent image may overwrite the previous one. Images 1 and 2 have a date and time of capture.

[0088] <Functional Configuration of Property Information Management Server> Let's return to Figure 3 for explanation. The property information management server 20 has a transmitting / receiving unit 21, a screen generation unit 22, and a storage / reading unit 29. Each of these units is a function or means of functioning, realized by any of the components shown in Figure 2 operating according to instructions from the CPU 401 following a program deployed from the HD 404 onto the RAM 403. The property information management server 20 also has a storage unit 2000 constructed from the HD 404 shown in Figure 2. The storage unit 2000 is an example of a storage means.

[0089] In Figure 3, all functions are installed on a single property information management server 20, but the property information management server 20 may also be configured to distribute each function across multiple computers.

[0090] The transmitting / receiving unit 21 is an example of a transmitting or receiving unit, and is implemented by commands from the CPU 401 shown in Figure 2 and the communication I / F 407, and transmits and receives various data (or information) with other terminals, devices, or systems via the communication network N.

[0091] The screen generation unit 22 is an example of a screen generation means and is implemented by instructions from the CPU 401 shown in Figure 2, generating various screens. When the terminal device 10 runs a web application, screen information is created using HTML, XML, CSS, and JavaScript (registered trademark), etc. Therefore, screen information may also be referred to as a web application. When the terminal device 10 runs a client application, the screen information is held by the terminal device 10, and the information to be displayed is transmitted in XML, etc.

[0092] The storage / reading unit 29 is an example of a storage control means and is executed by instructions from the CPU 401 shown in Figure 2, as well as by the HD 404, media I / F 411, and DVD-RW drive 412. It performs processing such as storing various data in the storage unit 2000, recording media 411a, and DVD-RW 412a, and reading various data from the storage unit 2000, recording media 411a, and DVD-RW 412a. The storage unit 2000, recording media 411a, and DVD-RW 412a are examples of storage means.

[0093] <<Property Management Information Management Table>> Figure 5 is a conceptual diagram showing an example of a property management information management table according to this embodiment. The storage unit 2000 has a property information management DB 2001 constructed, which is composed of property management information management tables as shown in Figure 5.

[0094] This property management information management table manages model identification information, location information, item information, inspection information, and one or more captured images, associated with the property identification information. These are sometimes referred to as property management information. The contents of these are the same as those in the image information management table. In other words, the property management information management table does not store three-dimensional image information. However, inspection information and captured images are recorded for all items that have been inspected at least once. Also, the inspection information and captured images in the property information management server 20 are inspection information directly registered by the user, so they serve as the master (source) for the inspection information in the image management server 40. Captured images may be images of multiple items, or images other than captured images, such as layout diagrams.

[0095] Alternatively, instead of the property information management DB2001 consisting of the property management information management table described above, a property information management DB2001 consisting of a property management information management table that manages location information, item information, and inspection information by associating them with model identification information, rather than associating them with property identification information, may be used.

[0096] <An example of model updating and text information generation> Refer to Figures 6 and 7 to explain how to update the model and generate text information. In Figures 6 and 7, check information is not used for updating the model and generating text information, but similar learning can be achieved by replacing or adding check information to dialogue Q1, etc. below.

[0097] Figure 6 is an explanatory diagram of what the terminal device 10 displays during text information generation processing and model update processing. Figure 6(a) is an explanatory diagram of the model update processing. The display control unit 13 of the terminal device 10 displays the display screen 900 received from the image management server 40 on the display 106a, and the display screen 900 includes the target image 1100 and text 1200.

[0098] The input receiving unit 12 of the terminal device 10 receives audio information from the microphone 109b, which represents the dialogue Q1, A1, Q2, and A2 between data providers M1 and M2, as input information to be entered by the data provider into the displayed screen 900. It is preferable that data providers M1 and M2 have extensive knowledge, including tacit knowledge, about their work. Through such a dialogue between data providers M1 and M2, the tacit knowledge model is updated, allowing the user to obtain useful tacit knowledge comments.

[0099] The identification unit 44 identifies the target image 1100, which is the portion of the display screen 900 excluding the text 1200.

[0100] The judgment unit 43 then uses the target image 1100 to determine the degree of relevance between the caption comments obtained from the caption model 4003 and the dialogues Q1, A1, Q2, and A2.

[0101] The update unit 46 updates the tacit knowledge model by using comments from the dialogues Q1, A1, Q2, and A2 that are judged to have a low degree of relevance as tacit knowledge comments, along with the target image 1100, etc., as training data, and updates the caption model 4003 by using comments that are judged to have a high degree of relevance as caption comments, along with the target image 1100, as training data.

[0102] Therefore, the tacit knowledge model learns the correspondence between the target image 1100 and the dialogues Q1, A1, Q2, and A2. The target image 1100 has features extracted using several feature extraction models suitable for images, such as a CNN (Convolutional Neural Network). These features represent, for example, what is depicted and where, or the tasks being performed within the image. Thus, the tacit knowledge model can learn the correspondence between the image features and the dialogues Q1, A1, Q2, and A2.

[0103] Figure 6(b) is an explanatory diagram of the text information generation process. The display control unit 13 of the terminal device 10 displays the display screen 900 received from the image management server 40 on the display 106a, and the display screen 900 includes an image 1110 and text 1210.

[0104] The input receiving unit 12 of the terminal device 10 receives audio information indicating questions Q11 and Q12 from user M3 via the microphone 109b as input information to be entered by the user on the displayed screen 900.

[0105] The identification unit 44 identifies the image 1110 that does not contain the text 1210 as the target image.

[0106] The text information generation unit 45 uses image 1110 to acquire tacit knowledge comments based on the tacit knowledge model. The tacit knowledge model extracts features from image 1110 and determines that the features of image 1110 in Figure 6(b) are similar to those of image 1110 at the time of update, thereby identifying dialogues Q1, A1, Q2, and A2 related to image 1110. Dialogues Q1, A1, Q2, and A2 become tacit knowledge comments.

[0107] Furthermore, the text information generation unit 45 uses tacit knowledge comments (dialogue Q1, A1, Q2, A2) and questions Q11, Q12, etc., to generate text information related to the answers A11 and A12 to questions Q11 and Q12, respectively, based on the large-scale language model 4005.

[0108] The display control unit 13 of the terminal device 10 displays the text information related to the answers A11 and A12 received from the image management server 40 on the display 106a.

[0109] Figure 7 is another explanatory diagram displayed by the terminal device 10 during the model update process and text information generation process according to this embodiment. Figure 7 illustrates a case in which no question text is used during model update and text information generation.

[0110] Figure 7(a) is an explanatory diagram of the model update process. Figure 7(a) shows an example in which the tacit knowledge model is updated with audio information and partial images from a single data provider, rather than a conversation between data providers.

[0111] The display control unit 13 of the terminal device 10 displays the display screen 900 received from the image management server 40 on the display 106a, and the display screen 900 includes a first image 1100A and a second image 1100B.

[0112] The input receiving unit 12 of the terminal device 10 receives character information from the keyboard 110a, which represents comments C1 to C4 from data provider M4, as input information to be entered by the data provider in response to the displayed screen 900.

[0113] Furthermore, the input receiving unit 12 receives operation information from the mouse 110b, which indicates an operation by the data provider M4 to identify a partial image 1100B1 in the second image 1100B, as input information to be entered by the data provider M4 into the displayed screen 900.

[0114] The identification unit 44 may identify the partial image 1100B1 as the target image, or it may identify the first image 1100A or the second image 1100B as the target image.

[0115] The judgment unit 43 then uses the target image to determine the degree of relevance between the caption comments obtained from the caption model 4003 and comments C1 to C4.

[0116] The update unit 46 updates the tacit knowledge model by using comments C1 to C4 that are judged to have low relevance as tacit knowledge comments, along with partial image 1100B1, etc., as training data, and updates the caption model 4003 by using comments that are judged to have high relevance as caption comments, along with partial image 1100B1, as training data.

[0117] Therefore, the tacit knowledge model learns the correspondence between the partial image 1100B1 and the comments C1-C4. Features are extracted from the partial image 1100B1 using several feature extraction models suitable for images, such as CNNs. These features represent, for example, what is depicted and where, or the work being performed. Thus, the tacit knowledge model can learn the correspondence between the image features and the comments C1-C4.

[0118] Figure 7(b) is an explanatory diagram of the text information generation process. The display control unit 13 of the terminal device 10 displays the display screen 900 received from the image management server 40 on the display 106a, and the display screen 900 includes the image 1110.

[0119] User M5 does not input anything to the displayed screen 900, and the input reception unit 12 does not accept any input information from the user to the displayed screen 900. The identification unit 44 identifies the entire displayed screen 900, which is image 1110, as the target image.

[0120] When user M5 performs an operation to identify a partial image 1100B1 on the display screen 900, the input receiving unit 12 receives operation information from the mouse 110b indicating the operation to identify the partial image as input information. In this case, the identification unit 44 identifies the partial image on the display screen 900 as the target image according to the operation information.

[0121] The text information generation unit 45 uses the partial image 1100B1 to acquire tacit knowledge comments based on the tacit knowledge model. The tacit knowledge model determines that the features of image 1110B1 in Figure 7(b) are similar to those of image 1110B1 at the time of update, and can identify comments C1 to C4 related to image 1110B1. The tacit knowledge model extracts comments C1 to C4 as tacit knowledge comments. The text information generation unit 45 generates text information related to comments C11 to C14 based on the large-scale language model 4005, using tacit knowledge comments and the like. The text information generation unit 45 may generate text information using preset standard questions if no question text is entered, rather than using a method that does not use any questions at all.

[0122] The display control unit 13 of the terminal device 10 displays the text information related to comments C11 to C14 received from the image management server 40 on the display 106a.

[0123] <Action or process> <<Learning Phase (Model Update)>> First, with reference to Figure 8, we will explain the model update process in which the first tacit knowledge model 4004A learns data. Figure 8 is a sequence diagram showing an example of the model update process.

[0124] S1: The user enters a login operation into terminal device 10. This login is for the property information management server 20. The input reception unit 12 of terminal device 10 accepts the login operation. Any existing login method is acceptable. Here, we assume that the login was successful.

[0125] Users log in to the property information management server 20 first, and then log in to the image management server 40. However, they may also log in to the image management server 40 first, and then log in to the property information management server 20.

[0126] S2: Upon successful login, the transmitting / receiving unit 11 of the terminal device 10 sends a request for the property selection screen 200 to the property information management server 20.

[0127] S3: The transmitting / receiving unit 21 of the property information management server 20 receives a request for the property selection screen 200. The screen generation unit 22 generates the property selection screen 200, and the transmitting / receiving unit 21 transmits the screen information of the property selection screen 200 to the terminal device 10.

[0128] S4: The transmitting / receiving unit 11 of the terminal device 10 receives screen information from the property selection screen 200. The display control unit 13 displays the property selection screen 200 (see Figure 10). The user enters property identification information (e.g., V0001) on the displayed property selection screen 200. The input receiving unit 12 of the terminal device 10 receives the property identification information.

[0129] S5: The transmitting / receiving unit 11 of the terminal device 10 sends a request for property management information to the property information management server 20, specifying the property identification information.

[0130] S6: The transmitting / receiving unit 21 of the property information management server 20 receives a request for property management information, and the storage / reading unit 29 searches the property information management DB 2001 using the property identification information. The property management information is information about the property associated with the property identification information. The screen generation unit 22 of the property information management server 20 generates a property management screen 210 that displays the property management information, and the transmitting / receiving unit 21 transmits the screen information of the property management screen 210 to the terminal device 10.

[0131] Furthermore, the transmitting / receiving unit 21 sends an image request program to the terminal device 10 in response to a request for property management information, so that the terminal device 10 can acquire three-dimensional image information. The image request program is, for example, a web application. This web application is installed on the property information management server 20 by the operator of the image management server 40 with the permission of the operator of the property information management server 20. Alternatively, a URL containing the image request program may be sent to the terminal device 10. Since the web application acquires three-dimensional image information from the image management server 40, it has the function of connecting to the image management server 40 and requesting and displaying three-dimensional image information.

[0132] S7: The transmitting / receiving unit 11 of the terminal device 10 receives screen information and an image request program from the property management screen 210. The display control unit 13 displays the property management screen 210 (see Figure 11). This displays the property management information. The user requests three-dimensional image information of the property (by pressing the image acquisition button 213) based on the displayed property management information. The input receiving unit 12 of the terminal device 10 receives the request for three-dimensional image information of the property. Three-dimensional image information of the property is three-dimensional image information of items placed in the property, which has been generated as a virtual space. The items are composed of 3D model shape information. Since the property has already been identified, the request for three-dimensional image information of the property may be sent to the image management server 40 without any operation by the user.

[0133] Here, the property management screen 210 includes a first display area 214 that displays information about the item obtained from the property information management server 20, and a second display area 215 that displays three-dimensional image information of the item obtained from the image management server 40. However, at step S7, the property management information is displayed in the first display area 214, but nothing is displayed in the second display area 215.

[0134] S8: If the user is not logged in to the image management server 40, the user enters a login operation into the terminal device 10. This login operation is directed to the image management server 40. The input reception unit 12 of the terminal device 10 accepts the login operation. Any existing login method is acceptable. Here, we assume that the login was successful. The image management server 40 may also skip the user's login operation by using, for example, single sign-on.

[0135] S9: The terminal device 10 executes an image request program to request three-dimensional image information. The transmitting / receiving unit 11 then sends a request for three-dimensional image information of the property selected by the user to the image management server 40, specifying the property identification information of the property. The transmitting / receiving unit 11 should also send the URL of the property information management server 20 to the image management server 40 so that the terminal device 10 can be redirected to the property information management server 20. Three-dimensional image information of a property is an image of an item placed in the property, which is a virtual space. Since the item is composed of 3D model shape information, the terminal device 10 projects the 3D model shape of the item onto two dimensions to generate a planar image. The user can view any item while changing their viewpoint. The transmitting / receiving unit 11 may also have the image management server 40 receive property management information obtained from the property information management server 20. This is so that the image management server 40 can display the property management information and the three-dimensional image information of the property on a single screen. The image request program receives property management information from a web application connected to the property information management server 20, for example, as a URL parameter.

[0136] S10: The transmitting / receiving unit 41 of the image management server 40 receives requests for three-dimensional image information of an object along with object identification information. The storage / reading unit 49 searches the image information management DB 4001 using the object identification information and obtains three-dimensional image information for each item. The storage / reading unit 49 may also obtain a layout diagram of the object from the image information management DB 4001. The processing unit 47 requests the screen generation unit 42 to generate a screen that includes the three-dimensional image information and layout diagram of the object. The screen generation unit 42 generates a screen corresponding to the second display area 215 on which the three-dimensional image information of each item is arranged. The transmitting / receiving unit 41 transmits the three-dimensional image information of the screen corresponding to the second display area 215 to the terminal device 10. The three-dimensional image information of each item included in this three-dimensional image information is three-dimensional image information on which all items included in the object are placed on the object, and the user can arbitrarily change the viewpoint.

[0137] S11: The transmitting / receiving unit 11 of the terminal device 10 receives screen information of the screen corresponding to the second display area 215, and the display control unit 13 displays the property display screen 220 including the first display area 214 and the second display area 215 (see Figure 12). The second display area 215 displays the three-dimensional image information and layout diagram 231 of each item, and the first display area 214 displays, for example, the item list 221 (generated from property management information) that is placed in the property, so that the item list 221 and the three-dimensional image information of the property are displayed on one screen. Next, the user identifies any item from the three-dimensional image information of the property. Once the user has identified an item, they can request inspection information and captured images of the item. The input receiving unit 12 of the terminal device 10 accepts the operation to identify an item. The item may be identified, for example, by the coordinates clicked by the user, or model identification information may be identified by these coordinates.

[0138] Furthermore, users input comments (text information, audio) about the items into the terminal device 10, as explained in Figures 6 and 7. These comments are sometimes referred to as input information. These comments may constitute tacit knowledge comments. Additionally, the comments may include caption comments describing the items.

[0139] S12: When the user presses the information update button 226, the transmitting / receiving unit 11 of the terminal device 10 transmits to the image management server 40 that the information update button 226 has been pressed, along with information identifying the item and the input information.

[0140] S13: The transmitting / receiving unit 41 of the image management server 40 receives information that the information update button 226 has been pressed, as well as information identifying the item and input information. The decision unit 48 decides to query the user to determine whether to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B. The transmitting / receiving unit 41 queries the terminal device 10 to ask whether to use inspection information for model updating. The decision processing by the decision unit 48 will be explained in Figure 9 below.

[0141] S14: The transmitting / receiving unit 11 of the terminal device 10 receives the inquiry, and the display control unit 13 displays a message 227 on the property display screen 220 asking whether or not to use inspection information for model updates (see Figure 13). The user confirms the message 227 and presses either the "Yes" button 228 or the "No" button 229. The input reception unit 12 receives the press. The transmitting / receiving unit 11 of the terminal device 10 sends "Yes" or "No" to the image management server 40. Note that the transition from Figure 12 to Figure 13 may be performed on the terminal device 10 side without communication with the image management server 40.

[0142] S15: The transmitting / receiving unit 41 of the image management server 40 receives a "necessary" or "not necessary" message, and the decision unit 48 determines whether inspection information is necessary based on the "necessary" or "not necessary" message. Figure 8 illustrates the case where the message is necessary. To obtain inspection information, the storage / reading unit 49 identifies the model identification information of the item with the closest location information based on the information identifying the item (in this case, location information) from the image information management DB 4001. The transmitting / receiving unit 41 transmits the model identification information to the terminal device 10. Note that if the information identifying the item in step S12 is model identification information, searching the image information management DB 4001 is unnecessary. The image management server 40 transmits the model identification information in order to obtain the latest inspection information from the property information management server 20.

[0143] S16: The transmitting / receiving unit 11 of the terminal device 10 receives the model identification information. For example, the image management server 40 notifies the terminal device 10 of the URL of the property information management server 20 and redirects it. As a result, the transmitting / receiving unit 11 of the terminal device 10 sends the property information management server 20 a request for inspection information and captured images of the item, specifying the model identification information.

[0144] S17: The transmitting / receiving unit 21 of the property information management server 20 receives requests for inspection information and captured images of items, and the storage / reading unit 29 searches the property information management DB 2001 using the model identification information to obtain the inspection information and captured images. The transmitting / receiving unit 21 transmits the inspection information and captured images to the terminal device 10.

[0145] S18: When the transmitting / receiving unit 11 of the terminal device 10 receives inspection information and captured images, it transmits the inspection information and captured images along with model identification information to the image management server 40.

[0146] S19: The transmitting / receiving unit 41 of the image management server 40 receives inspection information and captured images. The storage / reading unit 49 stores the inspection information and captured images in the image information management DB 4001 in association with the model identification information. The processing unit 47 starts updating the first tacit knowledge model 4004A. First, the determination unit 43 obtains the caption comment identified by the model identification information from the caption model 4003 and determines the degree of association between the caption comment and the comments included in the input information received in step S12. The determination unit 43 may determine the degree of association between the acquired caption comment and all comments included in the input information received in step S12, or it may divide the comments included in the input information received in step S12 into multiple parts and determine the degree of association between the acquired caption comment and each divided comment.

[0147] S20: The update unit 46 updates the caption model 4003 by associating the comments deemed highly relevant in step S19 with the model identification information as caption comments. The decision unit 48, having received a "needed" response regarding the necessity of the inspection information, decides to update the first tacit knowledge model 4004A. The update unit 46 updates the first tacit knowledge model 4004A using the comments and inspection information deemed less relevant in step S19, along with the related three-dimensional image information of the item (identified in step S12) and the captured image as training data. In other words, the correspondence between the three-dimensional image information of the item, the captured image, and the comments and inspection information is learned. Features are extracted from the three-dimensional image information of the item and the captured image using several feature extraction models suitable for images, such as CNNs. Features represent, for example, what is pictured where, or the content of the work being performed. Therefore, the first tacit knowledge model 4004A can learn the correspondence between three-dimensional image information of an item, the features of the captured image, and comments and inspection information.

[0148] Note that comments and inspection information are not necessarily both required; the first tacit knowledge model 4004A can be updated even without comments.

[0149] Figure 9 is a flowchart illustrating how the decision unit 48 determines whether to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B. First, in Figure 9(a), the decision unit 48 determines whether it has received a message from the terminal device 10 indicating that inspection information is required (S301).

[0150] If the decision in step S301 is Yes, the decision unit 48 decides to update the first tacit knowledge model 4004A (S302).

[0151] If the decision in step S301 is No, the decision unit 48 decides to update the second tacit knowledge model 4004B (S303).

[0152] Furthermore, in Figure 9(b), the determination unit 48 determines whether the question contained in the input information (voice, text) received from the terminal device 10 relates to inspection information of the item (S304). For example, if the input information includes inspection information, such as "Considering the inspection information, what kind of response can be considered?", it is determined to be related to inspection information of the item.

[0153] If the decision in step S304 is Yes, the decision unit 48 decides to update the first tacit knowledge model 4004A (S305).

[0154] If the decision in step S304 is No, the decision unit 48 decides to update the second tacit knowledge model 4004B (S306).

[0155] Although Figures 9(a) and 9(b) illustrate the example of updating a model, this principle can also be applied to selecting a model used to generate text information.

[0156] <Screen example> Figure 10 shows an example of a property selection screen 200 for entering property identification information. The property selection screen 200 has a property identification information input field 201 and a search button 202. When the user enters the property identification information in the property identification information input field 201 and presses the search button 202, the list of room numbers shown in Figure 11 is displayed on the property management screen 210.

[0157] Figure 11 shows an example of a property management screen 210. The property management screen 210 includes a first display area 214 that displays information about items obtained from the property information management server 20, and a second display area 215 that displays three-dimensional image information of items obtained from the image management server 40. The first display area 214 includes a list 211 of room numbers belonging to properties identified by property identification information. The list 211 of room numbers corresponds to property management information, and includes items contained in each property. Depending on the property, the room number may not be displayed, and the user may transition from the property selection screen 200 in Figure 10 to Figure 12 to display the three-dimensional image information of the property. The user selects the room number for which they want to display the three-dimensional image information using the mouse cursor 212. When the user presses the image acquisition button 213, the property display screen 220 is displayed.

[0158] Figure 12 shows the property display screen 220. The property display screen 220 includes a first display area 214 and a second display area 215. The first display area 214 of the property display screen 220 displays the item list 221. The second display area 215 of the property display screen 220 includes three-dimensional image information 222 and a layout diagram 231. The layout diagram 231 is a plan view showing the location of each item placed in the property. The item list 221 is displayed on the property display screen 220. The items in this room are a table, a cylindrical monument, a door, and a storage box. The property display screen 220 displays three-dimensional image information 222 of these items, such as the three-dimensional image information 223 of the table.

[0159] The user can select the item for which they want to display inspection information from the 3D image information using the mouse cursor 212. This determines the coordinates of the item, which serve as information to identify the item. Alternatively, the user may select an item from the item list 221. In this case, model identification information is identified at the time of selection.

[0160] In Figure 12, the area (floor area) of 224 is displayed as information about the property. The area (floor area) of 224 may be a measured value or may be included in the property management information.

[0161] Furthermore, the first display area 214 of the property display screen 220 displays the size (floor area) 224 as information about the property. The second display area 215 displays input information 241, which states, "This table has an unstable center of gravity, so it is best not to place anything weighing more than 50 kg on it." The image management server 40 can update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B using this input information 241 and inspection information. Note that the size (floor area) 224 as information about the property can also be used as a caption comment.

[0162] When the user presses the information update button 226, the message shown in Figure 13 pops up. Subsequently, either the first tacit knowledge model 4004A or the second tacit knowledge model 4004B is updated. Similarly, when the information display button 225 is pressed, the message shown in Figure 16 is displayed, followed by the text information generated based on the tacit knowledge comments.

[0163] When the user presses the information update button 226, an update request for the tacit knowledge model is sent to the image management server 40. A message 227 is then displayed asking whether to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B.

[0164] Figure 13 shows message 227, which pops up on the property display screen 220. Message 227 asks the user whether or not to use inspection information for model updates. The user presses the "Yes" button 228 if they want to update the first tacit knowledge model 4004A using inspection information, or the "No" button 229 if they want to update the second tacit knowledge model 4004B without using inspection information. One criterion for making this decision is whether the input information 241 is specific to this item or common to all items in the same category.

[0165] <Inference Phase (Generation of Text Information)> Next, with reference to Figure 14, the text information generation process using the first tacit knowledge model 4004A will be explained. Figure 14 is a sequence diagram showing an example of the text information generation process using the first tacit knowledge model 4004A. Note that the explanation of Figure 14 will mainly focus on the differences from Figure 8. The processes in steps S31 to S42 are the same as in Figure 8. However, in step S41, the user entered a question 232 about the item and pressed the information display button 225 (see Figure 15).

[0166] S43: The transmitting / receiving unit 41 of the image management server 40 receives information that the information display button 225 has been pressed, as well as information identifying the item and input information. The decision unit 48 decides to query the user to determine whether to use the first tacit knowledge model 4004A or the second tacit knowledge model 4004B to generate the text information. The transmitting / receiving unit 41 queries the terminal device 10 to determine whether to use the inspection information to generate the text information.

[0167] S44: The transmitting / receiving unit 11 of the terminal device 10 receives the inquiry, and the display control unit 13 displays a message 237 on the property display screen 220 asking whether or not to use inspection information to generate text information (see Figure 16). The user confirms the message 237 and presses either the "Yes" button 238 or the "No" button 239. The criteria for this decision will be described later. The input reception unit 12 receives the press. The transmitting / receiving unit 11 of the terminal device 10 sends "Yes" or "No" to the image management server 40.

[0168] S45: The transmitting / receiving unit 41 of the image management server 40 receives a "necessary" or "not necessary" message, and the decision unit 48 determines whether inspection information is necessary based on the "necessary" or "not necessary" message. Figure 14 illustrates the case where the message is necessary. The storage / reading unit 49 identifies the model identification information of the item with the closest location information from the image information management DB 4001 based on the information that identifies the item (here, location information). The transmitting / receiving unit 41 transmits the model identification information to the terminal device 10. Note that if the information that identifies the item in step S42 is model identification information, searching the image information management DB 4001 is unnecessary. The image management server 40 transmits the model identification information in order to obtain the latest inspection information from the property information management server 20.

[0169] The subsequent steps S46 to S48 can be carried out in the same manner as in Figure 8.

[0170] S49: When the transmitting / receiving unit 41 of the image management server 40 receives inspection information and captured images, the storage / reading unit 49 stores the inspection information and captured images in the image information management DB 4001 in association with the model identification information. The processing unit 47 also requests the text information generation unit 45 to generate text information. Since it has been decided to generate text information using the inspection information, the text information generation unit 45 obtains tacit knowledge comments corresponding to the three-dimensional image information and captured images of the item from the first tacit knowledge model 4004A. The first tacit knowledge model 4004A can extract features of the three-dimensional image information and captured images of the item and identify the inspection information, or the inspection information and comments, that correspond to these features. The tacit knowledge model extracts the inspection information, or the inspection information and comments, as tacit knowledge comments.

[0171] S50: Next, the text information generation unit 45 obtains text information created by the large-scale language model 4005 using the tacit knowledge comments, input information (question text), and check information. The large-scale language model 4005 can use these to generate more detailed text information. The text information generation unit 45 may also convert the audio information included in the input information into text information, and the text information generated by the text information generation unit 45 may be either audio information or text information.

[0172] The text information generation unit 45 may generate text information without using any inspection information or question text. Alternatively, the text information generation unit 45 may generate fixed questions internally within the system and use these fixed questions. In this case, the question text is not visible to the user. Or, the text information generation unit 45 may generate fixed questions internally within the system, display these fixed questions on the display unit for the user to select, and then use the selected question.

[0173] While inspection information is not mandatory, using it to generate text information from the large-scale language model 4005 allows for more detailed information about the item. For example, if the inspection information includes the extent of damage to the item, it is possible to generate text information that includes appropriate responses based on the extent of the damage.

[0174] S51: The processing unit 47 associates the three-dimensional image information and text information of the item corresponding to the model identification information and requests the screen generation unit 42 to display them. The screen generation unit 42 generates a screen corresponding to the second display area 215, which displays the text information, the three-dimensional image information of the item, and the captured image in association. The screen generation unit 42 may also perform an update process to add only the text information to the screen corresponding to the second display area 215. The transmitting / receiving unit 41 of the image management server 40 transmits the generated text information along with the screen information of the screen corresponding to the second display area 215 to the terminal device 10. The transmitting / receiving unit 11 of the terminal device 10 receives the screen information of the screen corresponding to the second display area 215 and the text information transmitted from the image management server 40.

[0175] S52: The transmitting / receiving unit 11 of the terminal device 10 receives the first display area 214 and text information, and the display control unit 13 displays a text display screen 230 including the first display area 214 and the second display area 215 (see Figure 17). Alternatively, the conversion unit 15 converts the received text information into audio information, and the audio control unit 14 plays the converted text information to the speaker 109a. If the received text information is audio information, the text information is played to the speaker 109a, or the conversion unit 15 converts the received text information into character information and displays the converted text information on the display 106a.

[0176] <<Example of the inference phase screen>> The screen displayed by the terminal device 10 during the inference phase will be the same as in Figures 10 to 12, but in the property display screen 220 of Figure 12, the user enters input information (question text) and presses the information display button 225.

[0177] Figure 15 shows an example of the property display screen 220 in the inference phase (an example of the first display screen). The property display screen 240 includes a first display area 214 and a second display area 215. Figure 15 has the same configuration as Figure 12, but in Figure 15, the user presses the three-dimensional image information 223 of the table to input a question sentence 232 as input information. The second display area 215 displays the input information (question sentence) 234 corresponding to the three-dimensional image information of the table. For example, the question sentence 232 in Figure 15 is "There is a scratch on the table, what should I do?" Along with such a question sentence 232, the user presses the information display button 225 to request the generation of text information using the tacit knowledge model.

[0178] Figure 16 shows message 237, which pops up on the property display screen 220. Message 237 asks the user whether to use inspection information to generate text information. The user presses the Yes button 238 if they want to generate text information using inspection information, or the No button 239 if they want to generate text information without using inspection information.

[0179] The user's decision-making criteria will be explained. As described above, the first tacit knowledge model 4004A and the second tacit knowledge model 4004B have the following differences. The first tacit knowledge model 4004A can generate expert knowledge and text information specific to particular items. • The second tacit knowledge model 4004B can generate expert knowledge and general text information applicable to similar (same-category) items in general.

[0180] For example, if a specific item is a turbo chiller used by a customer, then because it is an item owned by the customer, there is an accumulation of inspection history and know-how regarding that item. The user decides to use this information and the first tacit knowledge model 4004A to generate highly accurate text information (answers) specifically for that particular item.

[0181] On the other hand, while such highly accurate information does not exist for all similar items (refrigeration machines in the category of turbo chillers), specialized knowledge about turbo chillers in general does exist. Therefore, in this case, it is thought that the user would use the second tacit knowledge model 4004B to generate general text information (answers) applicable to all similar items. In this way, the user can decide whether or not to use inspection information to generate text information depending on how detailed the information required.

[0182] Furthermore, instead of the user making the decision, the decision unit 48 may decide automatically (without confirming with the user) or semi-automatically (by recommending to the user and asking for confirmation) whether to use inspection information to generate text information. For example, if the question sentence included in the input information (voice, text) relates to inspection information for an item, the decision unit 48 may decide to use the first tacit knowledge model 4004A because the second tacit knowledge model 4004B may not be able to generate appropriate text information.

[0183] Furthermore, there may be three or more types of tacit knowledge models, not just two, and users may be able to select the tacit knowledge model they prefer.

[0184] Figure 17 shows an example of text information displayed on the text display screen 230. The text display screen 230 includes a first display area 214 and a second display area 215. In Figure 17, the user requested implicit knowledge comments for the table, so the table's three-dimensional image information 223 and captured images 233 and 234 are displayed. The three-dimensional image information 223 is obtained from the image management server 40, and the captured images 233 and 234 are obtained from the property information management server 20. There may be one captured image 233 or 234, or there may be three or more, up to the number stored in the property information management server 20.

[0185] Text information 235 reads, "The scratch is less than 1 mm deep, so it will be repaired with paint. If it is 1 mm or deeper, it will be polished." Text information 235 is displayed in the second display area 215, corresponding to the table's three-dimensional image information 223 or captured images 233 and 234. Text information 235 was generated by the large-scale language model 4005 from tacit knowledge comments, inspection information, and question texts.

[0186] When the first tacit knowledge model 4004A detects, for example, that there is a scratch in the captured images 233 and 234 of an item, it outputs a tacit knowledge comment regarding the scratch on the item. This tacit knowledge comment, a question about the scratch, and inspection information identifying the current state of the scratch are input to the large-scale language model 4005, which can then generate appropriate text information in response to the question about the current scratch.

[0187] <Effects of generating text information using inspection data> The effects of generating text information using inspection information, as in this embodiment, will be explained.

[0188] 1. Comparative Example 1 (Using a General Large-Scale Language Model) Question: The user asks, "How should I repair the cracks?" Tacit comment: Tape or filler can be used.

[0189] 2. Comparative Example 2 (Case of learning from three-dimensional image information) • Learning Phase Input image: Three-dimensional image information Comment: Use tape for wide cracks and filler for narrow cracks. • Inference Phase Input image: Three-dimensional image information Question: "How should I repair the cracks?" Implicit knowledge comment: There are wide cracks and narrow cracks, so we recommend using tape for the former and filler for the latter.

[0190] 3. This embodiment (three-dimensional image information and captured image) • Learning Phase Input image: Three-dimensional image information and captured image Inspection information: Cracks found in the tape at the corners. • Inference Phase Input image: Three-dimensional image information and captured image Question: "How should I repair the cracks?" Tacit knowledge comment: There are wide cracks and narrow cracks, so we recommend using tape for the former and filler for the latter. However, when applying tape to corners, there is a risk of cracking, so please apply with care. In other words, "When applying tape to corners, there is a risk of cracking, so please apply with care" is the effect of learning the inspection information.

[0191] 4. This embodiment (three-dimensional image information, captured image, input information) • Learning Phase Input image: Three-dimensional image information and captured image Input information: Use tape for wide cracks and filler for narrow cracks. Inspection information: Cracks found in the tape at the corners. • Inference Phase Input image: Three-dimensional image information and captured image Question: "How should I repair the cracks?" Tacit knowledge comment: There are wide cracks and narrow cracks, so we recommend using tape for the former and filler for the latter. However, please be careful when applying tape to corners as there is a risk of cracking. In other words, the effect of learning the inspection information is that "please be careful when applying tape to corners as there is a risk of cracking."

[0192] <Example of an image management server retrieving inspection information from a property information management server> In Figures 8 and 14, the terminal device 10 acquires inspection information from the property information management server 20, and the image management server 40 acquires it from the terminal device 10. However, it is also possible for the image management server 40 to directly acquire inspection information from the property information management server 20.

[0193] Figure 18 is a sequence diagram showing an example of the process in which the image management server 40 communicates with the property information management server 20 to update the model. While Figure 18 primarily explains the differences from Figure 8, the sequence diagram in Figure 18 can be similarly modified. First, the processes in steps S1 to S14 are the same as in Figure 8.

[0194] S21: The transmitting / receiving unit 41 of the image management server 40 receives whether or not inspection information needs to be used. If it does, the storage / reading unit 49 identifies the model identification information of the item with the closest location information based on the information that identifies the item (in this case, location information) from the image information management DB 4001. The processing unit 47 requests the transmitting / receiving unit 41 to request inspection information. The transmitting / receiving unit 41 calls the API of the property information management server 20 and sends a request for inspection information and captured images to the property information management server 20, specifying the model identification information. Note that if the information that identifies the item is model identification information, searching the image information management DB 4001 is unnecessary.

[0195] S22: The transmitting / receiving unit 21 of the property information management server 20 receives requests for inspection information and captured images. The storage / reading unit 29 searches the property information management DB 2001 using the model identification information and obtains the inspection information and captured images. The transmitting / receiving unit 21 transmits the inspection information and captured images to the image management server 40.

[0196] The subsequent processing can be the same as in Figure 8. Also, in Figure 18, the process by which the image management server 40 acquires inspection information and captured images from the property information management server 20 was explained using the sequence diagram during model update as an example, but the same process applies when generating text information in Figure 14.

[0197] <When a second tacit knowledge model is used for learning or inference> <<Learning Phase (Model Update)>> Next, with reference to Figure 19, we will describe the model update process in which the second tacit knowledge model 4004B learns data. Figure 19 is a sequence diagram showing an example of the model update process. Note that the explanation of Figure 19 will mainly focus on the differences from Figure 8. The processes in steps S61 to S74 can be the same as in Figure 8.

[0198] S75: The transmitting / receiving unit 41 of the image management server 40 receives a "necessary" or "not necessary" message, and the decision unit 48 determines whether inspection information is necessary based on the "necessary" or "not necessary" message. Figure 19 illustrates the case where the message is "not necessary." Since inspection information is not necessary, the image management server 40 does not perform the process of acquiring inspection information and captured images from the property information management server 20. The relevance determination process can be the same as in Figure 8.

[0199] S76: The update unit 46 updates the caption model 4003 by associating the comments deemed highly relevant in step S75 with the model identification information as caption comments. The update unit 46 also updates the second tacit knowledge model 4004B using the comments deemed less relevant in step S75 and the related three-dimensional image information of the item (identified in step S72) as training data. In other words, the correspondence between the three-dimensional image information of the item and the comments is learned (inspection information and captured images are not learned). Features are extracted from the three-dimensional image information of the item using several feature extraction models suitable for images, such as CNNs. Features represent, for example, what is pictured where, or the content of the work being performed. Therefore, the tacit knowledge model can learn the correspondence between the features of the three-dimensional image information of the item and the comments.

[0200] The screen displayed by the terminal device 10 during the learning phase may be the same as shown in Figures 10 to 13.

[0201] <Inference Phase (Generation of Text Information)> Next, with reference to Figure 20, the text information generation process using the second tacit knowledge model 4004B will be explained. Figure 20 is a sequence diagram showing an example of the text information generation process using the second tacit knowledge model 4004B. Note that the explanation of Figure 20 may mainly focus on the differences from Figure 14. The processes in steps S81 to S94 can be the same as in Figure 14.

[0202] S95: The transmitting / receiving unit 41 of the image management server 40 receives a "necessary" or "not necessary" message, and the decision unit 48 determines whether inspection information is necessary based on the "necessary" or "not necessary" message. Figure 20 illustrates the case where the message is not necessary. Since inspection information is not necessary, the image management server 40 does not perform the process of acquiring inspection information and captured images from the property information management server 20.

[0203] Next, the processing unit 47 requests the text information generation unit 45 to generate text information. The text information generation unit 45 obtains tacit knowledge comments corresponding to the three-dimensional image information of the item from the second tacit knowledge model 4004B. The second tacit knowledge model 4004B can extract features of the three-dimensional image information of the item and identify comments (excluding inspection information) corresponding to these features. The tacit knowledge model extracts the comments as tacit knowledge comments. S96: Next, the text information generation unit 45 obtains text information created by the large-scale language model 4005 using the tacit knowledge comments and input information (question text). The large-scale language model 4005 can use these to generate more detailed text information. The text information generation unit 45 may also convert the audio information contained in the input information into text information, and the text information generated by the text information generation unit 45 may be either audio information or text information.

[0204] The text information generation unit 45 may generate text information without using any question text. Alternatively, the text information generation unit 45 may generate fixed questions internally within the system and use those fixed questions. In this case, the question text is not visible to the user. Or, the text information generation unit 45 may generate fixed questions internally within the system, display the fixed questions on the display unit for the user to select, and use the selected question.

[0205] The subsequent steps can be the same as in Figure 14.

[0206] <<Screen example>> In the inference phase, among the screens displayed by the terminal device 10, the property selection screen 200 may be the same as in Figure 10, and the property management screen 210 may be the same as in Figure 11. Also, the property display screen 220 will be the same as in Figures 15 and 16. On the other hand, in the process of Figure 20, the text information 235 of the text display screen 230 in Figure 17 will be different.

[0207] Figure 21 shows a text display screen 230 containing text information generated based on the second tacit knowledge model 4004B. This text information 236 reads, "Scratches will be addressed with paint or polishing." The text information 236 is displayed in the second display area 215, corresponding to the three-dimensional image information 223 of the table. The text information 236 was generated by the large-scale language model 4005 from the tacit knowledge comment generated by the second tacit knowledge model 4004B and the input information (question text). Since the tacit knowledge comment does not reflect inspection information and captured images, even if there are scratches on the item, the scratches in the captured image will not be reflected in the tacit knowledge comment. Furthermore, the large-scale language model 4005 does not use inspection information to generate text information.

[0208] Therefore, comparing the text information 236 in Figure 21 with the text information 235 in Figure 17, text information 236 is general text information about table scratches and is less detailed than text information 235. However, text information 236 is highly versatile information regarding table scratches.

[0209] <Multimodal> Several examples of combinations of input information and tacit knowledge comments are described. While the model described above assumed a large-scale language model, this embodiment can utilize a multimodal model that takes multiple data formats (images, text, gestures, etc.) as input and outputs them in a predetermined data format. • When the input information is a string, and content other than text information is generated as an implicit knowledge comment. Enter text to generate an image Enter text to generate a video. Enter text to generate speech. Enter a string of text to generate a 3D model. • When input information includes both strings and non-strings, and text information is generated as an implicit knowledge comment. Enter an image and text to generate text information. Enter a 3D model and text to generate text information. Input speech and text to generate text information. • When input information includes both text and non-textual content, and non-textual content is generated as an implicit knowledge comment. Enter an image and text to generate an image. Enter a video and text to generate a video. Enter a 3D model and text to generate a 3D model. Input speech and text to generate speech. <Main effects> According to this embodiment, users can choose between a first tacit knowledge model 4004A, which is learned using inspection information, and a second tacit knowledge model 4004B, which is learned without using inspection information. In other words, the image management server 40 can use the first tacit knowledge model 4004A to generate detailed text information for items for which inspection information has been stored, and can use the second tacit knowledge model 4004B to generate highly versatile text information for all items in the same category.

[0210] [Second Embodiment] This embodiment describes the updating and inference of the tacit knowledge model when a user logs in to the image management server 40. When a user logs in directly to the image management server 40, it is unclear whether the user has the authority to log in to the property information management server 20. However, the first tacit knowledge model 4004A is updated using inspection information. Therefore, it is undesirable to allow the use of the first tacit knowledge model 4004A when a user who does not have the authority to log in to the property information management server 20 logs in to the image management server 40. Accordingly, in this embodiment, when a user logs in directly to the image management server 40, only the updating of the second tacit knowledge model 4004B and the generation of text information are permitted.

[0211] In this embodiment, the hardware configuration diagram shown in Figure 2 and the functional block diagram shown in Figure 3, as described in the above embodiment, can be used as references.

[0212] <Action or process> <<Learning Phase (Model Update)>> Referring to Figure 22, the model update process in which the second tacit knowledge model 4004B learns data will be described. Figure 22 is a sequence diagram showing an example of the model update process.

[0213] S101: The user enters a login operation into terminal device 10. This login is for the image management server 40. The input reception unit 12 of terminal device 10 accepts the login operation. Any existing login method is acceptable. Here, we assume that the login was successful.

[0214] S102: Upon successful login, the transmitting / receiving unit 11 of the terminal device 10 sends a request for the property selection screen 200 to the image management server 40.

[0215] S103: The transmitting / receiving unit 41 of the image management server 40 receives a request for the property selection screen 200. The screen generation unit 42 generates the property selection screen 200, and the transmitting / receiving unit 41 transmits the screen information of the property selection screen 200 to the terminal device 10.

[0216] S104: The transmitting / receiving unit 11 of the terminal device 10 receives screen information from the property selection screen 200. The display control unit 13 displays the property selection screen 200 (see Figure 10). The user enters property identification information (e.g., V0001) on the displayed property selection screen 200. The input receiving unit 12 of the terminal device 10 receives the property identification information.

[0217] S105: The transmitting / receiving unit 11 of the terminal device 10 sends a request for three-dimensional image information of the property to the image management server 40, specifying the property identification information. Since the terminal device 10 is not logged into the property information management server 20, the property management screen 210 in Figure 11 is not displayed.

[0218] S106: The transmitting / receiving unit 41 of the image management server 40 receives a request, and the storage / reading unit 49 searches the image information management DB 4001 using the object identification information. The storage / reading unit 49 acquires the three-dimensional image information of each item. The screen generation unit 42 generates a screen corresponding to the second display area 215 that displays the three-dimensional image information of the items. The transmitting / receiving unit 41 transmits the three-dimensional image information corresponding to the screen corresponding to the second display area 215 to the terminal device 10. The three-dimensional image information of each item is the three-dimensional image information of the item placed in the object identified by the object identification information. Since the items are composed of 3D model shape information, the terminal device 10 projects the three-dimensional model shape of the item onto two dimensions to generate a planar image. The user can view any item while changing their viewpoint.

[0219] S107: The transmitting / receiving unit 11 of the terminal device 10 receives screen information for the screen corresponding to the second display area 215, and the display control unit 13 displays the property display screen 260 including the second display area 215 (see Figure 24). In this embodiment, since the terminal device 10 is not logged into the property information management server 20, the list of items placed in the property is not displayed. However, the screen generation unit 42 may use the image information management DB 4001 managed by the image management server 40 to display information equivalent to the item list. Next, the user identifies an arbitrary item from the three-dimensional image information of the property. Once the user has identified an item, they can request inspection information for that item. The input receiving unit 12 of the terminal device 10 accepts the operation to identify an item. The item may be identified, for example, by the coordinates clicked by the user, or model identification information may be identified by these coordinates.

[0220] The user inputs comments (text information, audio) about the item into the terminal device 10, as explained in Figures 6 and 7. These comments are sometimes referred to as input information. These comments may constitute tacit knowledge comments. Furthermore, the comments may include caption comments describing the item.

[0221] S108: When the user presses the information update button 226, the transmitting / receiving unit 11 of the terminal device 10 transmits to the image management server 40 that the information update button 226 has been pressed, along with information identifying the item and the input information. The transmitting / receiving unit 41 of the image management server 40 receives these. The decision unit 48 decides whether to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B. The decision unit 48 determines that the login in step S101 is not a login using the image request program distributed from the property information management server 20 (it is a direct login to the image management server 40), and therefore decides to update the second tacit knowledge model 4004B. The decision in step S108 is explained in Figure 23.

[0222] The subsequent steps S109 and S110 can be carried out in the same manner as in Figure 19. That is, the second tacit knowledge model 4004B is updated.

[0223] Figure 23 is a flowchart illustrating how the decision unit 48 determines whether to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B. In Figure 23, the decision unit 48 determines whether it has logged in to the image management server 40 via the property information management server 20 (S311). The decision unit 48 can determine whether it has logged in to the image management server 40 via the property information management server 20 by whether the login was made using an image request program distributed from the property information management server 20.

[0224] If the decision in step S311 is Yes, the decision unit 48 decides to update the first tacit knowledge model 4004A (S312).

[0225] If the decision in step S311 is No, the decision unit 48 decides to update the second tacit knowledge model 4004B (S313).

[0226] Although Figure 23 illustrates the example of updating a model, it can also be applied to selecting a model used to generate text information.

[0227] <<Screen example>> The property selection screen 200 displayed by the terminal device 10 during the learning phase may be the same as in Figure 10. Figure 11 is not displayed because it is a screen generated by the property information management server 20. The property display screen 260 of this embodiment will be described based on Figure 24.

[0228] Figure 24 shows the property display screen 260 of this embodiment. The property display screen 260 includes a second display area 215. Comparing Figure 24 with Figure 12, the item list 221 is not displayed. This is because the terminal device 10 logged directly into the image management server 40, and therefore the item list 221 managed by the property information management server 20 is not displayed.

[0229] <Inference Phase (Generation of Text Information)> Next, with reference to Figure 25, the text information generation process using the second tacit knowledge model 4004B will be explained. Figure 25 is a sequence diagram showing an example of the text information generation process using the second tacit knowledge model 4004B, where the terminal device 10 directly logs into the image management server 40. Note that the explanation of Figure 25 may mainly focus on the differences from Figure 20. The processing in steps S121 to S128 can be the same as in Figure 20. However, in step S127, the user inputs a question about an item (see Figure 26).

[0230] S129: The transmitting / receiving unit 11 of the terminal device 10 transmits to the image management server 40 that the information display button 225 has been pressed, information identifying the item, and input information (question text). The transmitting / receiving unit 41 of the image management server 40 receives these. The decision unit 48 decides whether to update the first tacit knowledge model 4004A or the second tacit knowledge model 4004B. The decision unit 48 determines that the login in step S121 is not a login using the image request program distributed from the property information management server 20 (it is a direct login to the image management server 40), and therefore decides to generate text information using the second tacit knowledge model 4004B.

[0231] The subsequent processing can be the same as in Figure 20. That is, text information is generated by the second tacit knowledge model 4004B and the large-scale language model 4005.

[0232] <<Screen example>> The property selection screen 200 displayed by the terminal device 10 during the inference phase may be the same as in Figure 10. Figure 11 is a screen generated by the property information management server 20 and is therefore not displayed. The property display screen 260 during the inference phase is as shown in Figure 26, and the text display screen 270 during the inference phase is as shown in Figure 27.

[0233] Figure 26 shows the property display screen 260 when the terminal device 10 logs directly into the image management server 40 (an example of the second display screen). Comparing Figure 26 with Figure 15, the item list 221 is not displayed. This is because the terminal device 10 logged directly into the image management server 40, and therefore the item list 221 managed by the property information management server 20 is not displayed.

[0234] Figure 27 shows the text display screen 270 of this embodiment. Comparing Figure 27 with Figure 21, the item list 221 is not displayed. This is because the terminal device 10 logged directly into the image management server 40. Also, in this embodiment, since the text information 236 is generated based on the second tacit knowledge model 4004B, the same text information 236 as in Figure 21 is displayed.

[0235] <Main effects> According to this embodiment, if a user logs in directly to the image management server 40, the provision of text information by the first tacit knowledge model 4004A, which has learned inspection information, can be restricted. Even in this case, the image management server 40 can still provide the user with text information by the second tacit knowledge model 4004B, which has not learned inspection information. If a user logs in to the image management server 40 via the property information management server 20, the image management server 40 can still provide the user with text information by the first tacit knowledge model 4004A, which has learned inspection information.

[0236] [Third Embodiment] In this embodiment, an information processing system 100 in which two terminal devices each generate text information will be described.

[0237] <Example System Configuration> Figure 28 is an overall configuration diagram of the information processing system 100 according to the embodiment. The explanation of Figure 28 will mainly describe the differences from Figure 1. As shown in Figure 28, the information processing system 100 has terminal devices 10A and 10B. Any of the terminal devices 10A and 10B will simply be referred to as "terminal device 10". Users of terminal devices 10A and 10B are optional. For the sake of explanation, it will be assumed that terminal device 10A logs in to the property information management server 20, and terminal device 10B logs in to the image management server 40. The functions of terminal devices 10A and 10B may be the same as in Figure 3.

[0238] Terminal device 10A (an example of a first terminal device) executes the process described in the first embodiment, and terminal device 10B (an example of a second terminal device) executes the process described in the second embodiment. That is, the terminal device 10 of the first embodiment corresponds to terminal devices 10A and 10B respectively, with terminal device 10A performing model updates and text information generation, and terminal device 10B performing model updates and text information generation.

[0239] [Fourth Embodiment] In this embodiment, an image management server 40 that generates images from captured images and text information will be described.

[0240] Figure 29 is a functional configuration diagram illustrating an example of the functions of the image management server 40, the property information management server 20, and the terminal device 10 in the information processing system 100 according to this embodiment. Note that the explanation of Figure 21 mainly describes the differences from Figure 3.

[0241] The image management server 40 in Figure 29 further includes an image generation unit 51, and an image generation model 4006 is constructed in the storage unit 4000 of the image management server 40. The other configurations may be the same as in Figure 3.

[0242] The image generation unit 51 is an example of image generation means, and is realized by an instruction from the CPU 401 shown in FIG. 2. The text data or the text data and the image are input to the image generation model 4006 to generate image information.

[0243] The image generation model 4006 is a machine learning model (generative AI) that generates an image from text data or text data and an image. The image generation model 4006 is learned using, for example, learning data including text data and an image. The learning data includes, for example, learning text data as an input, or text data and an image, and an image as a correct answer for the output. For example, learning may be performed so that an image generated by the image generation model 4006 into which the text data included in the learning data, or the text data and the image are input approaches the image as the correct answer included in the learning data.

[0244] <Learning phase> The processing in the learning phase may be the same as that in FIG. 18. In step S24, the update unit 46 updates the first tacit knowledge model 4004A so as to learn the correspondence in which the comment and the inspection information determined to have a low relevance in step S23 are input and the three-dimensional image information or the captured image of the article is output. Alternatively, the update unit 46 updates the first tacit knowledge model 4004A so as to learn the correspondence in which the comment, the inspection information, and the three-dimensional image information (or the captured image) of the article are input and the captured image (or the three-dimensional image information) is output.

[0245] <Inference phase (generation of text information)> FIG. 30 is a sequence diagram showing an example of the generation process of text information and image information. In the description of FIG. 30, the differences from FIG. 14 may be mainly described. In FIG. 30, step S50-2 is added.

[0246] S50-2: The image generation unit 51 inputs the captured image and the text information created by the large language model into the image generation model 4006 to generate image information. The image generation unit 51 may obtain the image information created by the image generation model 4006 using the text information created by the large language model without using the captured image.

[0247] The storage / reading unit 49 stores (or overwrites) the text information created by the large language model and the image information created by the image generation model 4006 in the image information management DB 4001 in association with the captured image and the inspection information stored in the image information management DB 4001 in step S48.

[0248] S51: The processing unit 47 associates the three-dimensional image information of the article corresponding to the model identification information, the generated image information, and the text information, and requests the screen generation unit 42 to display these. The screen generation unit 42 generates a screen corresponding to the second display area 215 for displaying the three-dimensional image information of the article, the generated image information, and the text information. The transmission / reception unit 41 of the image management server 40 transmits the screen information of the screen corresponding to the second display area 215 to the terminal device 10. The transmission / reception unit 11 of the terminal device 10 receives the screen information of the screen corresponding to the second display area 215 transmitted from the image management server 40.

[0249] <Example screen in the inference phase> FIG. 31 is a diagram showing the generated image information displayed on the text display screen 280. In the description of FIG. 31, mainly the differences from FIG. 17 will be described.

[0250] On the text display screen 280 of FIG. 31, generated images 281 and 282 are displayed. The generated images 281 and 282 are not the captured images 233 and 234 themselves described in FIG. 17, but are generated images generated by the image generation model 4006 based on the captured images 233 and 234 and the text information 235. Therefore, the generated images 281 and 282 have markers 283 and 284 indicating the positions of the scratches.

[0251] <Main effects> Thus, the image management server 40 can use either the first tacit knowledge model 4004A or the second tacit knowledge model 4004B depending on the login path, whether terminal device 10A logs in via the property information management server 20 or terminal device 10B logs in directly to the image management server 40. Furthermore, even if terminal devices 10A and 10B log in to the image management server 40 in parallel (at the same time), the first tacit knowledge model 4004A or the second tacit knowledge model 4004B can be used.

[0252] [Other application examples] The present invention is not limited to the embodiments specifically disclosed above, and various modifications and changes are possible without departing from the scope of the claims. It goes without saying that the image management server 40 described in this embodiment is just one example, and there are various system configurations depending on the application and purpose.

[0253] For example, in this embodiment, we described an example in which an implicit knowledge model for industries such as civil engineering and construction answers a question, but the implicit knowledge model can be used in any industry where implicit knowledge is effective, such as healthcare, dental care, and investment decisions.

[0254] Furthermore, in this embodiment, the large-scale language model 4005 generates text information based on tacit knowledge comments, but it is also possible to use tacit knowledge comments as text information without using the large-scale language model 4005.

[0255] Furthermore, the first tacit knowledge model 4004A may also be one that takes three-dimensional image information and inspection information as input, and learns tacit knowledge comments by outputting the input information. In other words, it may take information in different forms, such as images and text, as input.

[0256] Furthermore, the image management server 40 may generate two sets of text information using not only one of the first tacit knowledge model 4004A or the second tacit knowledge model 4004B, but both. In other words, the image management server 40 only needs to generate text information using at least one of the first tacit knowledge model 4004A or the second tacit knowledge model 4004B.

[0257] Furthermore, although this embodiment describes a client-server type information processing system 100, the functions of the image management server 40 may be installed as an application on the terminal device 10. In other words, users may use the functions of this embodiment in a standalone format.

[0258] Furthermore, the configuration examples shown in Figure 3 and other figures are divided according to their main functions to facilitate understanding of the processing performed by the image management server 40. The present invention is not limited by the way the processing units are divided or their names. The processing of the image management server 40 can be further divided into many more processing units depending on the processing content. It can also be divided so that one processing unit includes even more processing.

[0259] Each of the functions of the embodiments described above can be realized by one or more processing circuits. Hereinafter, "processing circuit" as used herein includes processors programmed to execute each function by software, such as processors implemented by electronic circuits, as well as devices such as ASICs (Application Specific Integrated Circuits), DSPs (digital signal processors), FPGAs (field programmable gate arrays), and conventional circuit modules designed to execute each of the functions described above.

[0260] The apparatus described in the examples represents only one of several computing environments for carrying out the embodiments disclosed herein. In one embodiment, the image management server 40 includes multiple computing devices, such as a server cluster. The multiple computing devices are configured to communicate with each other via any type of communication link, including a network or shared memory, and perform the processing disclosed herein.

[0261] Furthermore, the image management server 40 can combine the disclosed processing steps in various ways. Each element of the image management server 40 may be combined into a single device or divided into multiple devices. Also, each processing performed by the image management server 40 may be performed by the terminal device 10.

[0262] <Nature> [Aspect 1] An information processing system including an image management server for managing three-dimensional image information of an object, and a terminal device capable of communicating with the image management server, The aforementioned image management server is A first model that has learned the correspondence between the three-dimensional image information and the two-dimensional image of the article and information relating to the article, or the correspondence between the three-dimensional image information and the two-dimensional image of the article and information relating to the article and input information input to the terminal device, A second model that has learned the correspondence between the three-dimensional image information of the aforementioned article and the input information input to the terminal device, The terminal device receives a selection of the article and generates text information relating to the article using the three-dimensional image information of the article, the two-dimensional image of the article, information relating to the article, and the first model, or the terminal device receives a selection of the article and generates text information relating to the article using the three-dimensional image information of the article and the second model, The aforementioned terminal device is An information processing system having a display control unit that displays a display screen containing the aforementioned text information. [Aspect 2] The text information generation unit generates the text information based on the three-dimensional image information of the article selected by the terminal device, the two-dimensional image of the article, information relating to the article, input information received by the input receiving unit of the terminal device, and the first model, or, The information processing system according to aspect 1, wherein the text information is generated based on the three-dimensional image information of the article received by the terminal device, the input information received by the input reception unit of the terminal device, and the second model. [Aspect 3] The information processing system according to aspect 1, further comprising an article information management server that can communicate with the terminal device and manages information about the article. The information processing system according to aspect 1, wherein the text information generation unit generates the text information based on the three-dimensional image information of the article, the information about the article transmitted by the article information management server, the two-dimensional image of the article transmitted by the article information management server, and the first model. [Aspect 4] The image management server generates text information about the article using the three-dimensional image information of the article received by the terminal device, the two-dimensional image of the article, the information about the article, and the first model, or a determination unit that determines whether to generate text information about the article using the three-dimensional image information of the article received by the terminal device and the second model. The information processing system according to any one of aspects 1 to 3, having the above components. [Aspect 5] The information processing system according to aspect 4, wherein the determination unit determines whether to use the information about the article received by the terminal device, or based on the input information in the form of voice or text received by the input reception unit of the terminal device, determines whether to use the first model or the second model. [Aspect 6] The image management server updates the first model by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article and the information about the article, or [[ID=二十八]]an update unit that updates the second model by learning the correspondence between the three-dimensional image information of the article and the input information input to the terminal device without using the information about the article. An information processing system according to any one of embodiments 1 to 5. [Aspect 7] The aforementioned determination unit, The first model is updated by learning the correspondence between the three-dimensional image information of the article, the two-dimensional image of the article, and information about the article, or, An information processing system according to embodiment 4 or 5, which determines whether to update the second model by learning the correspondence between three-dimensional image information of the article and input information input to the terminal device, without using information about the article. [Aspect 8] The display control unit, The input information is displayed on a first display screen that includes information about the item obtained from the property information management server, three-dimensional image information of the item obtained from the image management server, and a two-dimensional image of the item, all on a single screen, or the input information is displayed on a second display screen that includes three-dimensional image information of the item obtained from the image management server, without including information about the item. The text information generation unit, Based on the input information displayed on the first display screen, the three-dimensional image information of the article, the two-dimensional image of the article, the information relating to the article, and the first model, the text information is generated, or, The information processing system according to embodiment 3, which generates text information based on the input information displayed on the second display screen, the three-dimensional image information of the article, and the second model. [Aspect 9] The text information generation unit, Based on the input information displayed on the first display screen, the three-dimensional image information of the article, the two-dimensional image of the article, the information relating to the article, and the first model, the text information is generated, or, An information processing system according to embodiment 8, which generates text information based on the input information displayed on the first display screen, the three-dimensional image information of the article, the two-dimensional image of the article, and the second model. [Aspect 10] The first model is updated by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article displayed on the first display screen, and the input information and the information about the article, or, The information processing system according to embodiment 8 or 9, further comprising an update unit that updates the second model by learning the correspondence between the three-dimensional image information of the article displayed on the second display screen and the input information. [Aspect 11] The aforementioned update unit is, The first model is updated by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article displayed on the first display screen, and the input information and the information about the article, or, The second model is updated by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article displayed on the first display screen and the input information. The information processing system described in aspect 10. [Aspect 12] The system has a first terminal device and a second terminal device that can communicate with the aforementioned image management server, The display control unit of the first terminal device displays a first display screen that includes three-dimensional image information of the article obtained from the image management server, information about the article obtained from the property information management server, and a two-dimensional image of the article. The display control unit of the second terminal device displays a second display screen that includes three-dimensional image information of the article acquired from the image management server. The text information generation unit, The first terminal device receives a selection of the article and generates three-dimensional image information of the article, a two-dimensional image of the article, information about the article, and text information about the article using the first model. The information processing system according to embodiment 3, wherein the second terminal device generates three-dimensional image information of the article selected by the second terminal device, and generates text information relating to the article using the second model. [Aspect 13] The three-dimensional image information of the article is a two-dimensional projection of the three-dimensional model shape of the article, and the information processing system according to any one of embodiments 1 to 12 can display the three-dimensional image information of the article by changing the viewpoint. [Aspect 14] The information processing system according to any one of the embodiments 1 to 13, wherein the information relating to the said article includes information entered by a user after inspecting the condition of the said article. [Explanation of symbols]

[0263] 10 Terminal devices 20 Property Information Management Server 40 Image Management Server 100 Information Processing Systems [Prior art documents] [Patent Documents]

[0264] [Patent Document 1] Patent No. 6839123

Claims

1. An information processing system including an image management server for managing three-dimensional image information of an object, and a terminal device capable of communicating with the image management server, The aforementioned image management server is A first model that has learned the correspondence between the three-dimensional image information and the two-dimensional image of the article and information relating to the article, or the correspondence between the three-dimensional image information and the two-dimensional image of the article and information relating to the article and input information input to the terminal device, A second model that has learned the correspondence between the three-dimensional image information of the aforementioned article and the input information input to the terminal device, The terminal device has a text information generation unit that generates text information about the article using the three-dimensional image information of the article, the two-dimensional image of the article, information about the article, and the first model selected by the terminal device, or generates text information about the article using the three-dimensional image information of the article selected by the terminal device and the second model selected by the terminal device. The aforementioned terminal device is An information processing system having a display control unit that displays a display screen containing the aforementioned text information.

2. The text information generation unit generates the text information based on the three-dimensional image information of the article selected by the terminal device, the two-dimensional image of the article, information relating to the article, input information received by the input receiving unit of the terminal device, and the first model, or, The information processing system according to claim 1, wherein the terminal device receives three-dimensional image information of the article selected by the terminal device, input information received by the input receiving unit of the terminal device, and the second model are used to generate the text information.

3. The system further includes an item information management server that can communicate with the terminal device and the image management server and manages information related to the item, The information processing system according to claim 1, wherein the text information generation unit generates the text information based on three-dimensional image information of the article, information about the article transmitted by the property information management server, a two-dimensional image of the article transmitted by the property information management server, and the first model.

4. The aforementioned image management server is The terminal device generates three-dimensional image information of the selected article, a two-dimensional image of the article, information about the article, and text information about the article using the first model, or A decision unit that determines whether to generate text information relating to the article using the three-dimensional image information of the article selected by the terminal device and the second model, An information processing system according to any one of claims 1 to 3.

5. The information processing system according to claim 4, wherein the decision unit determines whether or not to use the information relating to the article received by the terminal device, or whether or not to use the first model or the second model based on voice or text input information received by the input receiving unit of the terminal device.

6. The aforementioned image management server is The first model is updated by learning the correspondence between the three-dimensional image information of the article, the two-dimensional image of the article, and information about the article, or An update unit updates the second model by learning the correspondence between the three-dimensional image information of the article and the input information input to the terminal device, without using information about the article. The information processing system according to claim 1, having the following features.

7. The aforementioned determination unit, The first model is updated by learning the correspondence between the three-dimensional image information of the article, the two-dimensional image of the article, and information about the article, or The information processing system according to claim 4, further comprising: determining whether to update the second model by learning the correspondence between three-dimensional image information of the article and input information input to the terminal device, without using information about the article.

8. The display control unit, The input information is displayed on a first display screen that includes information about the item obtained from the property information management server, three-dimensional image information of the item obtained from the image management server, and a two-dimensional image of the item, all on a single screen, or the input information is displayed on a second display screen that includes three-dimensional image information of the item obtained from the image management server, but does not include information about the item. The text information generation unit, Based on the input information displayed on the first display screen, the three-dimensional image information of the article, the two-dimensional image of the article, the information relating to the article, and the first model, the text information is generated, or, The information processing system according to claim 3, which generates text information based on the input information displayed on the second display screen, the three-dimensional image information of the article, and the second model.

9. The text information generation unit, Based on the input information displayed on the first display screen, the three-dimensional image information of the article, the two-dimensional image of the article, the information relating to the article, and the first model, the text information is generated, or, The information processing system according to claim 8, which generates text information based on the input information displayed on the first display screen, the three-dimensional image information of the article, the two-dimensional image of the article, and the second model.

10. The first model is updated by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article displayed on the first display screen, and the input information and the information about the article, or, The information processing system according to claim 8 or 9, further comprising an update unit that updates the second model by learning the correspondence between the three-dimensional image information of the article displayed on the second display screen and the input information.

11. The aforementioned update unit is, The first model is updated by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article displayed on the first display screen, and the input information and the information about the article, or, The second model is updated by learning the correspondence between the three-dimensional image information and the two-dimensional image of the article displayed on the first display screen and the input information. The information processing system according to claim 10.

12. The system has a first terminal device and a second terminal device that can communicate with the aforementioned image management server. The display control unit of the first terminal device displays a first display screen that includes three-dimensional image information of the article obtained from the image management server, information about the article obtained from the property information management server, and a two-dimensional image of the article. The display control unit of the second terminal device displays a second display screen that includes three-dimensional image information of the item acquired from the image management server. The text information generation unit, The first terminal device receives a selection of the article and generates three-dimensional image information of the article, a two-dimensional image of the article, information about the article, and text information about the article using the first model. The information processing system according to claim 3, wherein the second terminal device generates three-dimensional image information of the article selected by the second terminal device, and generates text information relating to the article using the second model.

13. The information processing system according to claim 1, wherein the three-dimensional image information of the article is obtained by projecting the three-dimensional model shape of the article onto two dimensions, and the three-dimensional image information of the article can be displayed by changing the viewpoint.

14. The information processing system according to claim 1, wherein the information relating to the said article includes information entered by a user after inspecting the condition of the said article.

15. An image management server that manages three-dimensional image information of an object that can communicate with a terminal device, A first model that has learned the correspondence between three-dimensional image information of the article and information about the article including a two-dimensional image of the article, or the correspondence between three-dimensional image information of the article, information about the article, and input information input to the terminal device, A second model that has learned the correspondence between the three-dimensional image information of the aforementioned article and the input information input to the terminal device, The terminal device generates text information about the article using the three-dimensional image information of the article, the two-dimensional image of the article, information about the article, and the first model selected by the terminal device, or The terminal device has a text information generation unit that generates text information relating to the article using the three-dimensional image information of the article selected by the terminal device and the second model, An image management server that causes the terminal device to display a screen containing the aforementioned text information.

16. An information processing method performed by a system including an image management server for managing three-dimensional image information of an object, and a terminal device capable of communicating with the image management server, The aforementioned image management server is A first model that has learned the correspondence between three-dimensional image information of the article and information about the article including a two-dimensional image of the article, or the correspondence between three-dimensional image information of the article, information about the article, and input information input to the terminal device, The system includes a second model that has learned the correspondence between the three-dimensional image information of the article and the input information input to the terminal device, The terminal device generates text information about the article using the three-dimensional image information of the article, the two-dimensional image of the article, information about the article, and the first model selected by the terminal device, or The terminal device generates text information relating to the article using the three-dimensional image information of the article selected by the terminal device and the second model. The steps include: causing the terminal device to display a screen containing the aforementioned text information; An information processing method that performs this task.

17. An image management server that manages three-dimensional image information of items that can communicate with terminal devices, A first model that has learned the correspondence between three-dimensional image information of the article and information about the article including a two-dimensional image of the article, or the correspondence between three-dimensional image information of the article, information about the article, and input information input to the terminal device, A second model that has learned the correspondence between the three-dimensional image information of the aforementioned article and the input information input to the terminal device, The terminal device generates text information about the article using the three-dimensional image information of the article, the two-dimensional image of the article, information about the article, and the first model selected by the terminal device, or The terminal device functions as a text information generation unit that generates text information about the article using the three-dimensional image information of the article selected and the second model. A program that causes the terminal device to display a screen containing the aforementioned text information.

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