WO2023032226A1

WO2023032226A1 - Function adding device, function adding method, and function adding program

Info

Publication number: WO2023032226A1
Application number: PCT/JP2021/032739
Authority: WO
Inventors: 和哉松尾; 克洋鈴木; リドウィナアユアンダリニ; 貴司久保; 徹西村
Original assignee: 日本電信電話株式会社
Priority date: 2021-09-06
Filing date: 2021-09-06
Publication date: 2023-03-09
Also published as: JPWO2023032226A1

Abstract

This function adding device includes an acquisition unit and an addition unit. The acquisition unit acquires a digital object generated by digitizing a physical object, and data that indicates the function of the digital object. The addition unit acquires, from a prescribed storage device, a program for digitally reproducing the function of the digital object and adds the acquired program to the digital object.

Description

Function-imparting device, function-imparting method, and function-imparting program

The present disclosure relates to a function-imparting device, a function-imparting method, and a function-imparting program.

Advances in ICT (Information and Communications Technology) have made "digital twins" possible. Digital twins can connect the real world and cyberspace, and have been attracting attention in recent years.

A digital twin is a digital object that accurately represents a real-world object in cyberspace. Examples of real-world objects include production machines in factories, aircraft engines, and automobiles. A digital twin maps the shape, state or function of such an object onto cyberspace.

Digital twins enable simulations in cyberspace. For example, a simulation is a current situation analysis, future prediction, possibility evaluation, etc. regarding an object.

ICT-related technologies are easily utilized in cyberspace. Therefore, the application of digital twins to ICT can feed back benefits such as intelligent control of real-world objects to real-world objects.

In the future, as the conversion of various objects in the real world to digital twins progresses, it is believed that digital twins will lead to an increase in demand for simulations in cyberspace. For example, it is possible that the demand for solutions such as interacting with different and diverse digital twins that transcend the boundaries of industries, inter-industry collaboration by combining different and diverse digital twins, and large-scale simulations will increase. have a nature.

　The interaction between digital twins is calculated by digitizing the original functions of physical twins (that is, real objects). The functions of the physical twin are, for example, the "cutting" function of a knife and the "writing" function of a pen.

Machine learning models such as neural networks are used to estimate the functions of physical twins. Machine learning models use physical twin images, point clouds and 3D meshes as inputs. A machine learning model infers the function of the physical twin from this input. The inferred features are assigned to the corresponding digital twins as natural language labels.

However, with the above prior art, it may be difficult to automatically create a digital object that implements a function.

For example, in the above prior art, only functional labels are given to digital twins. That is, the functions themselves are not digitized.

Therefore, the present disclosure proposes a function-imparting device, a function-imparting method, and a function-imparting program capable of automatically creating a function-implemented digital object.

In one aspect of the present disclosure, a function imparting device includes an acquisition unit that acquires a digital object generated by digitizing a physical object and data indicating a function of the digital object; a program that digitally reproduces the function of (1) from a predetermined storage device, and a granting unit that grants the program to the digital object.

A function-imparting device according to one or more embodiments of the present disclosure can automatically create a function-implemented digital object.

FIG. 1 shows an example of the generation of a digital twin with estimated function. FIG. 2 shows an example of functional implementation in the digital twin. FIG. 3 is a block diagram of an example environment for implementation of functions in digital objects. FIG. 4 provides an overview of functional implementations according to the present disclosure. FIG. 5 is a block diagram of an example configuration of a function implementation system according to the present disclosure. FIG. 6 shows an example of data flow in the function implementation system according to the present disclosure. FIG. 7 shows an example of functionalization according to the present disclosure. FIG. 8 is a flowchart illustrating an example process for creating a functionally implemented digital object. FIG. 9 shows an example of the hardware configuration of a computer.

A number of embodiments are described in detail below with reference to the drawings. However, the present invention is not limited by these multiple embodiments. Features of various embodiments may be combined in various ways provided the features are not mutually exclusive. Identical elements are denoted by identical reference numerals, and duplicate descriptions are omitted.

[1. Introduction]
In digital twin technology, a digital twin can be generated with a function label indicating the function of the digital twin. Functional labels allow developers to identify uses for digital twins. For example, feature labels are determined by machine learning models such as neural nets.

FIG. 1 shows a generation 10, which is an example of the generation of a digital twin whose function has been estimated. Generation 10 first digitizes the real object to generate a digital twin. The function of the digital twin is then estimated and a function label is assigned to the digital twin. Functional labels are natural language labels. In the example of FIG. 1, the digital twin is the sawtooth digital twin, and the function label indicates the function of cutting.

However, in Generation 10, functional labels are only given to specific parts of the digital twin. In other words, the function of the digital twin itself is not digitally reproduced.

FIG. 2 shows a functional implementation 20, which is an example of functional implementation in a digital twin. As shown in FIG. 2, a saw digital twin that implements cutting functionality can cut a tree digital twin. In function implementation 20, a developer creates a digital twin that implements a function according to the label assigned to the digital twin.

However, each time an object is converted into a digital twin, manually creating a digital twin that implements the functions requires a high cost. A developer can create a digital twin that implements the functionality each time a digital twin is created. In an actual environment, an unspecified number of objects are converted into digital twins. Therefore, manual implementation of functions increases the cost of creating digital twins.

In order to solve the above problems, a function implementation system according to one or more embodiments of the present disclosure implements one or more functions described below.

[2. Environment for function implementation]
First, with reference to FIG. 3, an environment for implementing functions according to the present disclosure will be described.

FIG. 3 is a block diagram of Environment 1, which is an example of an environment for implementing functions in digital objects. As shown in FIG. 3, the environment 1 includes a function implementation system 100, a network 200, and a user device 300. As shown in FIG.

The function implementation system 100 is a system that implements one or more functions. The function implementation system 100 is an example of a function imparting device. One or more functional implementations include the process of affixing functions to digital objects. One example of a digital object is a digital twin. An overview of the functional implementation according to this disclosure is provided in the next section.

The function implementation system 100 includes one or more data processing devices such as one or more servers. An example configuration of the function-implemented system 100 is described in Section 4.

The network 200 is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), or the Internet. Network 200 connects function-implemented system 100 and user device 300 .

The user device 300 is a data processing device such as a client device. A user of the user device 300 is, for example, a person who wants to create a functionally implemented digital twin. A user sends an image of a real object to the function implementation system 100 . Then, the user receives the digital twin corresponding to the real object from the function implementation system 100 . This digital twin also reproduces the functionality of the object.

[3. Overview of function implementation]
Next, with reference to FIG. 4, an outline of functional implementation according to the present disclosure will be described. However, this summary is not intended to limit the invention or the embodiments described in the following sections.

FIG. 4 shows a functional implementation overview 30 according to the present disclosure. Overview 30 includes five steps. The function implementation system 100 automatically generates a digital twin that reproduces the original functions of a physical twin without human intervention.

In step S<b>1 , the function implementation system 100 digitizes the saw 31 and generates a saw digital twin 32 .

In step S2, the function implementation system 100 estimates the function of the saw digital twin 32 and assigns the saw digital twin 32 a label indicating the estimated function. As a result, the function implementation system 100 generates a sawtooth digital twin 33 with a function label 34 . Function label 34 indicates the function of cutting.

In step S3, the function implementation system 100 sends the function label 34 to the function database 35 as a query.

The function database 35 manages function programs once created by developers. A function program is a program for digitally reproducing a function. In the function database 35, function labels are keys and function programs are values.

In step S4, the function implementation system 100 acquires the function program 36 corresponding to the function label 34 from the function database 35. Function program 36 is a disconnect script.

In step S5, the function implementation system 100 provides the function program 36 to the sawtooth digital twin 33. As a result, the function implementation system 100 generates the saw digital twin 37 implementing the function of cutting.

As described above, the function implementation system 100 uses labels obtained by estimating functions of digital twins as queries for obtaining function programs. The function implementation system 100 then assigns the acquired function program to the digital twin. Function programs are stored in a function database. The function implementation system 100 can reuse function programs created in the past. Therefore, the function implementation system 100 can reduce implementation costs for creating a digital twin in which even functions are digitized.

[4. Details of the function implementation system]
Next, the details of the function implementation system 100 will be described with reference to FIGS. 5, 6 and 7. FIG.

FIG. 5 is a block diagram of a function implementation system 100, which is an example of the configuration of the function implementation system according to the present disclosure. As shown in FIG. 5, the function implementation system 100 includes a communication section 110, a control section 120 and a storage section . The function-implementing system 100 may include an input unit (eg, keyboard, mouse) that receives input from the administrator of the function-implementing system 100 . The function implementation system 100 may also include an output unit (for example, a liquid crystal display, an organic EL (Electro Luminescence) display) that displays information to the administrator of the function implementation system 100 .

[4-1. Communication unit 110]
The communication unit 110 is implemented by, for example, a NIC (Network Interface Card). Communication unit 110 is connected to network 200 by wire or wirelessly. The communication unit 110 can transmit and receive information to and from the user device 300 via the network 200 .

[4-2. control unit 120]
The control unit 120 is a controller. The control unit 120 uses a RAM (Random Access Memory) as a work area, and includes one or more processors (e.g., CPU (Central Processing Unit), It is implemented by an MPU (Micro Processing Unit). Also, the control unit 120 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

As shown in FIG. 5, the control unit 120 includes a function management unit 121, a function storage unit 122, an image reception unit 123, a 3D mesh generation unit 124, a function estimation unit 125, a material estimation unit 126, a function provision unit 127, a DT It includes a management unit 128 and a lack of function confirmation unit 129 . One or more processors of function-implementing system 100 may implement each control unit by executing instructions stored in one or more memories of function-implementing system 100 . The data processing performed by each control unit is an example, and each control unit (for example, function imparting unit 127) performs data processing described in relation to other control units (for example, function estimation unit 125). good too.

[4-3. Storage unit 130]
The storage unit 130 is implemented by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 5, storage unit 130 includes function database 131 .

[4-4. Function of each control part]
In this subsection, with reference to FIGS. 6 and 7, the function of each of the above controls will be described. Also, the functions of the function database 131 will be described in relation to the function manager 121 .

FIG. 6 shows a flow 40, which is an example of data flow in the function implementation system according to the present disclosure. As shown in FIG. 6, the data for creating a digital twin with functions include a function management unit 121, a function storage unit 122, an image reception unit 123, a 3D mesh generation unit 124, a function estimation unit 125, and a material estimation unit 126. , the function provision unit 127, the DT management unit 128, and the function deficiency confirmation unit 129.

[4-4-1. function management unit 121]
The function management unit 121 manages various programs in which functions are implemented. These various programs are, for example, programs that digitally reproduce the functions of the digital twin. These various programs are created by digitizing the functions of the physical twin.

The function management unit 121 is implemented as a database management system. For example, the function management unit 121 can search or rewrite the database according to the query. In the example of FIGS. 5 and 6, this database is function database 131 .

The input (that is, query) of the function management unit 121 is a natural language label representing the function and material of the object. The output of the function management unit 121 is a program in which functions are implemented.

The function management unit 121 uses labels representing functions and materials as keys. Also, the function management unit 121 uses the program as a value. Therefore, the function management unit 121 manages programs in which functions are implemented in a KVS (Key-Value Store). When a query arrives, the function manager 121 retrieves and returns a program having a key that matches the query.

In this specification, a program in which functions are implemented is called a functional program. Examples of functional programs include a script for reproducing the feeler FB (Feedback) and a script for automatically setting the coefficient of friction.

[4-4-2. function storage unit 122]
The function storage unit 122 stores various function programs in the function database 131 . The function storage unit 122 is an example of a storage unit. As described above, a functional program is a program in which functions are implemented.

The function storage unit 122 receives function programs from developers. Also, the function storage unit 122 receives from the developer a label indicating a function to be reproduced by the function program. A label that indicates a function is referred to herein as a functional label.

The function storage unit 122 associates function programs with corresponding function labels. Then, the function storage unit 122 stores the function program associated with the function label in the function database 131. FIG.

When the developer newly develops a function program that does not exist in the function database 131 , the developer sends the new program to the function storage unit 122 . Function storage unit 122 adds a new program to function database 131 . The function storage unit 122 may accept access from general users. In this manner, the function storage unit 122 may collect a wide range of function programs.

[4-4-3. image receiving unit 123]
The image receiving unit 123 receives the image of the real object from the user device 300 . The image receiving section 123 can store the image in the storage section 130 .

An image of a real object is, for example, a photograph. The image receiving unit 123 can receive multiple images for generating a three-dimensional model of the object.

[4-4-4. 3D mesh generator 124]
The 3D mesh generator 124 generates a digital object by digitizing the shape of the object drawn in the image. For example, the 3D mesh generation unit 124 generates a 3D mesh from point groups obtained by measuring the surface of an object with a 3D laser scanner. Alternatively, the 3D mesh generator 124 may create a 3D mesh from multiple photographs received by the image receiver 123 without using a 3D laser scanner. The 3D mesh generator 124 is an example of a generator. The 3D mesh generation unit 124 can acquire a plurality of images, point clouds, and previously generated 3D meshes from the storage unit 130 . Also, the 3D mesh generation unit 124 can store the generated digital object in the storage unit 130 .

The 3D mesh generator 124 generates a 3D mesh model of a real object based on images and point groups. The generated 3D mesh model is an example of a digital twin.

[4-4-5. function estimation unit 125]
The function estimating unit 125 draws on the original image based on the image of the real object received by the image receiving unit 123 and the shape of the digital object (for example, digital twin) generated by the 3D mesh generating unit 124. estimating the function of the object. Function estimator 125 is an example of an estimator. The function estimating unit 125 can acquire an image depicting an object or a digital object from the storage unit 130 . Also, the function estimation unit 125 can store data indicating the estimated function in the storage unit 130 as a function label.

The inputs to the function estimation unit 125 are data such as images, point clouds, and 3D meshes. The function estimator 125 can also use tag information attached to such data as input. For example, the tag information indicates the name of the photographed object.

The output of the function estimation unit 125 is functional part information and natural language labels representing functions. The functional site information indicates a site having a function. As an example, the functional site information of the saw digital twin may indicate the range corresponding to the blade. The function estimator 125 can estimate the function for each part.

The function estimation unit 125 can estimate the function of an object using a machine learning model. An instance of training data is an area that represents a function within the data, such as an image, point cloud, 3D mesh, or the like. The training data label is the natural language label of the function corresponding to this range. The function estimation unit 125 can learn a machine learning model based on teacher data. The function estimation unit 125 can output an estimated function by inputting data such as images, point clouds, and 3D meshes into a trained model.

[4-4-6. material estimation unit 126]
The material estimation unit 126 acquires an image depicting the object from the storage unit 130 . Then, the material estimation unit 126 estimates the material of the object based on the acquired image. The material estimation unit 126 can store a material label indicating the estimated material in the storage unit 130 .

[4-4-7. Function imparting unit 127]
The function imparting unit 127 acquires the digital object and the function label of this digital object from the storage unit 130 . It is an example of an acquisition unit of the function imparting unit 127 . In addition, the function imparting unit 127 can acquire the functional part information of this digital object and the material label of this digital object from the storage unit 130 .

The function imparting unit 127 acquires from the function database 131 the function program corresponding to the function indicated by the function label. As described above, a functional program is a program in which a function is implemented (for example, a program that digitally reproduces a saw's ability to cut an object). Then, the function imparting unit 127 imparts the acquired function program to the digital object. The function imparting unit 127 is an example of an imparting unit. The function imparting unit 127 can store the digital object to which the function program is imparted in the storage unit 130 as a function-implemented digital object.

FIG. 7 shows functionalization 50, which is an example of functionalization according to the present disclosure. In the functionalization 50, the inputs of the functionalization unit 127 are functional site information, functional labels (ie, natural language labels representing functions), and digital twins (eg, 3D mesh). The output of the function imparting unit 127 is a digital twin with functions.

In the example of FIG. 7, the function imparting unit 127 first acquires the digital twin 51 together with the functional part information and the function label. Digital twin 51 is a sawtooth digital twin. The functional site information indicates the range corresponding to the blade. The function label indicates the function of cutting.

Next, the function provision unit 127 sends the function label to the function management unit 121. This function label is sent as a query. The function management unit 121 searches the function database 131 for a function program associated with the key corresponding to the query. In the example of FIG. 7, the disconnect script is retrieved. The function manager 121 sends the disconnection script to the function provider 127 . In this way, the function imparting unit 127 can acquire the function program corresponding to the function of the digital object from the function database 131. FIG.

Next, the function imparting unit 127 imparts the function program to the digital object based on the functional part information. In the example of FIG. 7, a cutting script is applied to the blade portion of the saw digital twin.

[4-4-8. DT management unit 128]
Returning to FIG. 6, the DT manager 128 manages digital objects. For example, the DT management unit 128 manages various digital twins (DT). Various digital twins include normal digital twins that do not implement the functionality of physical twins.

The DT management unit 128 can acquire the function-implemented digital twin from the storage unit 130 . The DT manager 128 can then provide the acquired digital twin to the user device 300 .

The DT management unit 128 can receive various digital twins from developers. The DT management unit 128 can store various received digital twins in the storage unit 130 .

[4-4-9. Insufficient function confirmation unit 129]
If the function of the digital object is an active function that affects another physical object, the lack of function confirmation unit 129 detects the other digital object generated by digitizing this other physical object. is acquired from the storage unit 130 . Other digital objects are contained in various digital twins managed by DT manager 128 . Then, the function deficiency confirmation unit 129 identifies functions of other digital objects as passive functions affected by the digital objects.

The function of a digital object may require a target digital object. In this case, the features of the digital object of interest are identified as the missing features of the digital object.

As an example, the input of the function deficiency confirmation unit 129 is a function label indicating the function of the digital object (for example, a natural language label representing the function). On the other hand, the output of the function deficient confirmation unit 129 is function deficient information such as a function deficient digital twin, a function label indicating a function deficient in the digital twin, and functional part information corresponding to the function label.

For example, if a function newly added to the digital twin affects other objects, the function deficiency confirmation unit 129 analyzes the space where the physical twin corresponding to this digital twin exists. As an example, the function deficiency confirmation unit 129 acquires an image depicting the physical twin from the storage unit 130 . Then, the lack of function confirmation unit 129 determines whether or not another object is included in the acquired image.

When another object is included in the acquired image, the function deficiency confirmation unit 129 identifies the other object as an object affected by the physical twin. Then, the function deficiency confirmation unit 129 acquires another digital twin corresponding to the specified other object from the storage unit 130 .

The functions of other acquired digital twins are identified as functions affected by the digital twin. The function deficiency confirmation unit 129 sends the above function deficiency information to the function imparting unit 127 according to the digital twins, other digital twins, and the function labels of these digital twins. The function imparting unit 127 can impart functional programs corresponding to passive functions to other digital twins.

For example, assume that a paper cup has been converted into a digital twin, and a knife with the function of "cutting" has been converted into a digital twin. In this example, the function deficiency confirmation unit 129 sends the paper cup digital twin and the function label indicating “disconnected (disconnected)” to the function provision unit 127 . The function imparting unit 127 can impart a function label indicating "cut (cut)" to the paper cup digital twin.

[5. Utilization of function implementation]
This section describes the exploitation of functional implementations according to this disclosure.

The function implementation system 100 can add various function scripts to the digital twin. For example, from an image depicting a knife, the functional implementation system 100 can automatically generate a digital twin of a knife that can "cut" other objects in virtual space.

The function implementation system 100 can give the digital twin a script for reproducing the antennae FB (Feedback). For example, from an image of an egg, the functional implementation system 100 automatically generates an egg digital twin in which the strength of the force returned to the haptic glove changes before and after the egg breaks. The function implementation system 100 can obtain from the function database 131 a function program whose key is the material attribute and whose value is the tactile feedback. By providing such a function program to the egg digital twin, the function implementation system 100 can automatically provide the function of the antennae FB to the egg digital twin.

The function implementation system 100 can automatically set the coefficient of friction. For example, the administrator of the function implementation system 100 measures the coefficient of friction for each material in advance. The measured coefficient of friction is stored in function database 131 . The functional implementation system 100 can automatically set the coefficient of friction in the digital twin (eg, 3D mesh) based on the material label.

[6. Flowchart of function implementation]
Next, with reference to FIG. 8, a flowchart of an example implementation of functionality according to the present disclosure will be described. Examples of functional implementations include processes for creating functionally implemented digital objects. Processing for creating a function-implemented digital object is performed by the function implementation system 100 of FIG. 3, for example.

FIG. 8 is a flow chart showing process P100, which is an example of the process for creating a digital object implementing functions.

As shown in FIG. 8, first, the function storage unit 122 of the function implementation system 100 receives various function programs from the developer (step S101).

Next, the function storage unit 122 stores various function programs in the function database 131 of the function implementation system 100 (step S102).

Next, the image receiving unit 123 of the function implementation system 100 receives the image of the object from the user (step S103).

Next, the 3D mesh generator 124 of the function implementation system 100 generates a digital twin of the object from the received image (step S104).

Next, the function estimation unit 125 of the function implementation system 100 estimates the function of the generated digital twin based on the shape of the generated digital twin (step S105).

Next, the function imparting unit 127 of the function implementation system 100 acquires the function program corresponding to the estimated function from the function database 131 (step S106).

Next, the function imparting unit 127 imparts the acquired function program to the generated digital twin (step S107).

[7. effect〕
As described above, the function implementation system 100 can automate implementation for digitally reproducing the functions of objects. As a result, the function implementation system 100 can reduce the cost of creating a function-added digital twin. Furthermore, the function implementation system 100 can automatically give the digital twin a function that cannot be reproduced by applying the attribute information of the digital twin to a commercial physics engine.

[8. others〕
Some of the processes described as being performed automatically may be performed manually. Alternatively, all or part of the processes described as being performed manually may be performed automatically in known manner. Furthermore, information including processing procedures, specific names, various data and parameters shown in this specification and drawings may be arbitrarily changed unless otherwise specified. For example, various information shown in each drawing is not limited to the illustrated information.

The illustrated system and device components conceptually illustrate the functionality of the system and device. Components are not necessarily physically arranged as shown in the drawings. In other words, specific forms of distributed or integrated systems and devices are not limited to those shown in the figures. All or part of the systems and devices may be functionally or physically distributed or integrated according to various loads and conditions of use.

[9. Hardware configuration]
FIG. 9 is a diagram showing a computer 1000 as an example of the hardware configuration of a computer. The systems and methods described herein may be implemented, for example, by computer 1000 shown in FIG.

FIG. 9 shows an example of a computer on which the function implementation system 100 is implemented by executing a program. The computer 1000 has a memory 1010 and a CPU 1020, for example. Computer 1000 also has hard disk drive interface 1030 , disk drive interface 1040 , serial port interface 1050 , video adapter 1060 and network interface 1070 . These units are connected by a bus 1080 .

The memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM 1012. The ROM 1011 stores a boot program such as BIOS (Basic Input Output System). Hard disk drive interface 1030 is connected to hard disk drive 1090 . A disk drive interface 1040 is connected to the disk drive 1100 . A removable storage medium such as a magnetic disk or optical disk is inserted into the disk drive 1100 . Serial port interface 1050 is connected to mouse 1110 and keyboard 1120, for example. Video adapter 1060 is connected to display 1130, for example.

The hard disk drive 1090 stores, for example, an OS 1091, application programs 1092, program modules 1093, and program data 1094. That is, a program that defines each process of the function implementation system 100 is implemented as a program module 1093 in which code executable by the computer 1000 is described. Program modules 1093 are stored, for example, on hard disk drive 1090 . For example, the hard disk drive 1090 stores a program module 1093 for executing processing similar to the functional configuration in the function implementation system 100 . The hard disk drive 1090 may be replaced by an SSD (Solid State Drive).

The hard disk drive 1090 can store a function imparting program for implementing functions. Also, the functionalization program can be created as a program product. The program product, when executed, performs one or more methods, such as those described above.

Also, the setting data used in the processing of the above-described embodiment is stored as program data 1094 in the memory 1010 or the hard disk drive 1090, for example. Then, the CPU 1020 reads out the program module 1093 and the program data 1094 stored in the memory 1010 and the hard disk drive 1090 to the RAM 1012 as necessary and executes them.

The program modules 1093 and program data 1094 are not limited to being stored in the hard disk drive 1090, but may be stored in a removable storage medium, for example, and read by the CPU 1020 via the disk drive 1100 or the like. Alternatively, program modules 1093 and program data 1094 may be stored in other computers connected through a network (LAN, WAN, etc.). Program modules 1093 and program data 1094 may then be read by CPU 1020 through network interface 1070 from other computers.

[10. Summary of Embodiments]
As described above, the function implementation system 100 according to the present disclosure includes the function imparting section 127 . In at least one embodiment, functionalization unit 127 obtains a digital object produced by digitizing a physical object and data indicative of the function of the digital object. Then, the function imparting unit 127 acquires a program for digitally reproducing the function of this digital object from the function database 131, and imparts the acquired program to the digital object.

As described above, the function implementation system 100 according to the present disclosure includes the function storage unit 122. In at least one embodiment, function store 122 receives one or more programs that digitally recreate the function of the object and stores the one or more programs in function database 131 . In some embodiments, functionalization unit 127 obtains, from among one or more programs stored in function database 131, a program that digitally reproduces the function of the digital object.

In some embodiments, function store 122 stores one or more programs that digitally reproduce a function of an object and one program that each indicates one or more functions to be reproduced by the one or more programs. or associated with multiple labels, and storing one or more programs associated with one or more labels in function database 131 . In some embodiments, the functionalization unit 127 identifies, from among one or more labels stored in the functional database 131, a label corresponding to the function of the digital object, and associates with the identified label a label associated with the identified label. program to a digital object.

As described above, the function implementation system 100 according to the present disclosure includes the 3D mesh generator 124. In at least one embodiment, the 3D mesh generator 124 generates a digital object corresponding to the object depicted in the image by digitizing the shape of the object depicted in the image. In some embodiments, the functionalizer 127 takes the digital object generated by the 3D mesh generator 124 as a digital object generated by digitizing a physical object.

As described above, the function implementation system 100 according to the present disclosure includes the function estimation unit 125. In at least one embodiment, function estimator 125 estimates the function of the object depicted in the image based on the shape of the digital object generated by 3D mesh generator 124 . In some embodiments, the function imparting unit 127 obtains the data indicating the function estimated by the function estimating unit 125 as the data indicating the function of the digital object.

As described above, the function implementation system 100 according to the present disclosure includes the function deficiency confirmation unit 129. In at least one embodiment, obtaining other digital objects produced by digitizing other physical objects where the function of the digital object is a function that affects the other physical object. and identify functions of other digital objects as functions affected by the digital object.

While various embodiments have been described in detail herein with reference to the drawings, these embodiments are examples and are intended to limit the invention to these embodiments. isn't it. The features described herein can be implemented in various ways, including various modifications and improvements based on the knowledge of those skilled in the art.

Also, the above "parts (module, -er suffix, -or suffix)" can be read as units, means, circuits, etc. For example, a communication module, a control module, and a storage module can be read as a communication unit, a control unit, and a storage unit, respectively.

1 environment 100 function implementation system 110 communication unit 120 control unit 121 function management unit 122 function storage unit 123 image reception unit 124 3D mesh generation unit 125 function estimation unit 126 material estimation unit 127 function provision unit 128 DT management unit 129 function shortage confirmation unit 130 storage unit 131 function database 200 network 300 user device

Claims

an acquisition unit that acquires a digital object generated by digitizing a physical object and data indicating the function of the digital object;
A function imparting device that acquires a program for digitally reproducing a function of the digital object from a predetermined storage device and imparts the acquired program to the digital object.
further comprising a storage unit that receives one or more programs that digitally reproduce the function of the object and stores the one or more programs in the predetermined storage device;
The function imparting device according to claim 1, wherein the imparting unit acquires a program for digitally reproducing the function of the digital object from among the one or more programs stored in the predetermined storage device.
The storage unit associates the one or more programs that digitally reproduce a function of an object with one or more labels that respectively indicate the one or more functions that are reproduced by the one or more programs. , storing the one or more programs associated with the one or more labels in the predetermined storage device;
The assigning unit identifies a label corresponding to the function of the digital object from among the one or more labels stored in the predetermined storage device, and executes a program associated with the identified label, The function imparting device according to claim 2, which is imparted to the digital object.
further comprising a generation unit that generates a digital object corresponding to the object depicted in the image by digitizing the shape of the object depicted in the image;
The acquisition unit acquires a digital object generated by the generation unit as the digital object generated by digitizing a physical object. Functional device.
An estimating unit that estimates the function of the object depicted in the image based on the shape of the digital object generated by the generating unit,
The function imparting device according to claim 4, wherein the acquisition unit acquires data indicating the function estimated by the estimation unit as the data indicating the function of the digital object.
obtaining another digital object generated by digitizing the other physical object, if the function of the digital object is a function that affects another physical object; The function imparting device according to any one of claims 1 to 5, further comprising: a specifying unit that specifies a function of a digital object as a function affected by said digital object.
A function imparting method executed by a computer,
an obtaining step of obtaining a digital object produced by digitizing a physical object and data indicative of a function of the digital object;
and an imparting step of acquiring from a predetermined storage device a program for digitally reproducing the function of the digital object, and imparting the acquired program to the digital object.
A function-imparting program for causing a computer to function as the function-imparting device according to any one of claims 1 to 6.