Production method, estimation method, estimation device and program of structure, structure, information processing method and information processing device

Abstract

To provide a production method and the like of a structure capable of properly managing its state.SOLUTION: A production method of a structure is provided according to an embodiment of the present invention. The production method is provided with a formation process and an installation process. In the formation process, a formed object is formed by discharging from a 3D printer hardening material of powder or paste material mineralized through hydration reaction, polymerization reaction, or calcination. In the installation process, the structure in which a sensor is integrated with a hardened body of the formed object is obtained after the sensor is installed in the formed object during the formation process.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a manufacturing method, an estimation method, an estimation device, a program, a structure, an information processing method, and an information processing device. [Background technology]

[0002] In recent years, a method of modeling using hydraulic materials such as cement and gypsum and additive manufacturing equipment has been proposed. For example, Patent Document 1 discloses an additive manufacturing method capable of stably manufacturing objects having delicate and diverse designs even if the hydration of a cementitious mixture progresses and the fluidity of the mixture decreases.

[0003] Meanwhile, there are known methods for estimating the deterioration of concrete structures, etc. For example, Patent Document 2 discloses a method for estimating the chloride ion concentration in a reinforced concrete structure by using a corrosion sensor embedded in the RC structure. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2018-122539 A [Patent Document 2] JP 2019-74410 A Summary of the Invention [Problem to be solved by the invention]

[0005] It is desirable for structures obtained by additive manufacturing processes such as that shown in Patent Document 1 to be used stably for a long period of time. From this perspective, there is a need to appropriately manage the condition of the structures.

[0006] In view of the above circumstances, the present invention provides a method for manufacturing a structure that allows the state to be appropriately controlled. [Means for solving the problem]

[0007] According to one aspect of the present invention, there is provided a method for manufacturing a structure. The manufacturing method includes a forming step and an installation step. In the forming step, a hardening material, which is a powder or paste material that is mineralized via a hydration reaction, a polymerization reaction, or sintering, is discharged from a 3D printer to form a model. In the installation step, a sensor is installed in the model during the forming step, and a structure is obtained in which the sensor is integrated with the hardened body of the model.

[0008] According to the above aspect, a method for manufacturing a structure capable of appropriately managing the state is provided. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram showing an overall configuration of an estimation system 100. [Diagram 2] FIG. 1 is a diagram illustrating a hardware configuration of an estimation device 1. [Diagram 3] FIG. 2 is a functional block diagram showing functions of the estimation device 1. [Figure 4] FIG. 2 is a conceptual diagram for explaining a structure 2. [Diagram 5] FIG. 2 is a conceptual diagram for explaining a process for manufacturing the structure 2. [Figure 6] FIG. 1 is a diagram showing an entire information processing system. [Figure 7] FIG. 2 is a diagram illustrating a hardware configuration of a server 6. [Figure 8] FIG. 2 is a functional block diagram showing functions of a server 6. [Figure 9] FIG. 13 is a conceptual diagram for explaining manufacturing conditions that can be acquired by a terminal device 7A. [Figure 10] FIG. 11 is an activity diagram illustrating the flow of information processing in the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, the present invention will be described based on each embodiment. Note that the various features shown in each embodiment can be combined with each other.

[0011] First Embodiment First, a first embodiment of the present invention will be described.

[0012] [Manufacturing method of structures] That is, the manufacturing method according to this embodiment is as follows: Note that a structure manufactured by such a manufacturing method can constitute a part of an estimation system, which will be described later. A method for manufacturing a structure, comprising the steps of: The method includes a forming step and an installation step, In the forming step, a hardening material, which is a powder or paste material that is mineralized through a hydration reaction, a polymerization reaction, or a firing, is ejected from a 3D printer to form a shaped object; In the installation step, a sensor is installed in the object during the object formation step, and a structure in which the sensor is integrated with a hardened body of the object is obtained.

[0013] Incidentally, the program for realizing the software appearing in this embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server, or may be provided so that the program is started on an external computer and its functions are realized on a client terminal (so-called cloud computing).

[0014] In addition, in this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In addition, in this embodiment, various information is handled, and this information is represented, for example, by physical values ​​of signal values ​​representing voltage and current, high and low signal values ​​as a binary bit group consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculation can be performed on the circuit in the broad sense.

[0015] In addition, a circuit in the broad sense is a circuit realized by at least appropriately combining a circuit, circuitry, a processor, a memory, etc. In other words, it includes an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)), etc.

[0016] 1.1. Overall structure In this section, the overall configuration of the estimation system 100 of this embodiment will be described.

[0017] The estimation system 100 of this embodiment is a system used for estimating the state of a structure 2. In this specification, for the sake of convenience, the estimation system 100 will be treated as including the structure 2.

[0018] The estimation system 100 of this embodiment includes an estimation device 1 and a structure 2. The estimation device 1 may be called an "information processing device" since it is a device that executes a predetermined information processing. In the first embodiment, the estimation device 1 (information processing device) is shown as a stand-alone computer, but the "estimation device" and the "information processing device" are not limited to a single device or computer, and may be a combination of multiple devices or computers. In addition, a measurement module 3 including a sensor 31 described later exists in the structure 2. This measurement module 3 is configured to be able to communicate with the estimation device 1. The communication line in this communication includes the Internet, wireless, etc., and mediates the exchange of data between devices connected to the line. The system exemplified by the estimation system 100 is composed of one or more devices or components.

[0019] [Estimation device 1] 2 is a diagram showing a hardware configuration of the estimation device 1. The estimation device 1 has a control unit 11, a storage unit 12, an input unit 13, a display unit 14, and a communication unit 15, and is configured by electrically connecting each of these units via a communication bus 10. Each unit provided in the estimation device 1 will be described below.

[0020] (Control unit 11) The control unit 11 is, for example, a central processing unit (CPU) not shown. The control unit 11 realizes various functions related to the estimation device 1 by reading out a predetermined program stored in the storage unit 12. That is, information processing by software stored in the storage unit 12 can be specifically realized by the control unit 11, which is an example of hardware, and executed as each functional unit included in the control unit 11. These will be described in detail later. Note that the control unit 11 is not limited to being single, and may be implemented with multiple control units 11 for each function. Also, a combination of these may be used.

[0021] (Storage unit 12) The storage unit 12 stores various pieces of information defined by the above description. This can be implemented, for example, as a storage device such as a solid state drive (SSD) that stores various programs and the like related to the estimation device 1 executed by the control unit 11, or as a memory such as a random access memory (RAM) that stores temporarily required information (arguments, arrays, etc.) related to the program calculations. The storage unit 12 stores various programs, variables, etc. related to the estimation device 1 executed by the control unit 11.

[0022] (Input section 13) The input unit 13 may be included in the housing of the estimation device 1, or may be externally attached. For example, the input unit 13 may be implemented as a touch panel integrated with the display unit 14. If it is a touch panel, the user can input a tap operation, a swipe operation, or the like. Of course, a switch button, a mouse, a QWERTY keyboard, or the like may be adopted instead of the touch panel. That is, the input unit 13 accepts an operation input made by the user. The input is transferred as a command signal to the control unit 11 via the communication bus 10, and the control unit 11 can execute a predetermined control or calculation as necessary.

[0023] (Display section 14) The display unit 14 may be, for example, included in the housing of the estimation device 1 or may be externally attached. The display unit 14 displays a screen of a graphical user interface (GUI) that can be operated by a user. This is preferably implemented by selectively using display devices such as a CRT display, a liquid crystal display, an organic EL display, and a plasma display according to the type of the estimation device 1.

[0024] (Communications Department 15) The communication unit 15 is configured to be able to transmit various electrical signals from the estimation device 1 to external components. The communication unit 15 is also configured to be able to receive various electrical signals from the external components to the estimation device 1. Note that the communication unit 15 may have a network communication function, thereby enabling communication of various information between the estimation device 1 and an external device via a communication line.

[0025] [Functional configuration of estimation device 1] Here, a description will be given of the functional configuration of the estimation device 1. Fig. 3 is a functional block diagram showing the functions of the estimation device 1. As described above, information processing by software (stored in the storage unit 12) is specifically realized by hardware (control unit 11), and can be executed as each functional unit included in the control unit 11.

[0026] Specifically, the control unit 11 of the estimation device 1 may include, as its respective functional units, an acquisition unit 111, an estimation unit 112, an output unit 113, a warning unit 114, and a memory management unit 115. Note that these respective functional units may be appropriately increased or omitted depending on the application of the estimation device 1, etc.

[0027] (Acquisition part 111) The acquisition unit 111 is configured to be able to execute an acquisition process. In the acquisition process, the acquisition unit 111 acquires various pieces of information from outside the estimation device 1. In this embodiment, the acquisition unit 111 acquires a signal from a sensor (sensor 31) provided in the structure 2. Details will be described later.

[0028] (Estimation part 112) The estimation unit 112 is configured to be able to execute an estimation process. In the estimation process, the estimation unit 112 estimates the state of the structure 2 based on the signals and parameters acquired by the acquisition unit 111. Details will be described later.

[0029] (Output unit 113) The output unit 113 is configured to be able to execute an output process. In the output process, the output unit 113 generates various output objects. In a typical embodiment, the output objects are configured to be recognizable by a user or the like. As an example, the output unit 113 creates display information and controls it so that it is visible to a user or the like. The display information may be visual information itself, such as a screen, an image, an icon, text, etc., generated in a manner that is visible to a user, or may be rendering information for displaying visual information, such as a screen, an image, an icon, text, etc., on various devices or terminals. The output unit 113 may also be configured to output a signal for outputting auditory information, driving a printing device, or driving a specific device.

[0030] (Warning section 114) The warning unit 114 is configured to be able to execute a warning step. In the warning step, the warning unit 114 issues a predetermined warning based on the result of estimation (typically, calculation) by the estimation unit 112. Details will be described later.

[0031] (Storage Management Department 115) The memory management unit 115 is configured to be able to execute a memory management process. In the memory management process, the memory management unit 115 is configured to manage various pieces of information to be stored that are related to the estimation system 100 of this embodiment. Typically, the memory management unit 115 is configured to store information handled by the estimation device 1 in a memory area. This memory area is exemplified by the memory unit 12 of the estimation device 1 or memory units of various devices and terminals, but this memory area does not necessarily have to be within the estimation system 100, and the memory management unit 115 can also manage various pieces of information to be stored in an external storage device or the like.

[0032] [Structure 2] The structure 2 is composed of a hardened body of a hardening material, which is a powder or paste material, that is mineralized via a hydration reaction, a polymerization reaction, or a firing, and the type of the hardening material does not matter. Such a structure 2 is obtained by first obtaining a model using a hardening material discharged from a 3D printer, and then hardening the hardening material. In other words, the structure of this embodiment can be said to include a hardened body of an additive modeling product of a hardening material, which is a powder or paste material, that is mineralized via a hydration reaction, a polymerization reaction, or a firing, and a sensor 31 provided in the hardened body.

[0033] The term "mineralization" means that the main component (the component that is most abundant on a mass basis) is changed into a hardened material that is an inorganic material. Typically, the object is made of concrete, mortar, or ceramics. In a typical example, the hardened material is concrete or mortar.

[0034] A typical embodiment of such a structure 2 will be described with reference to Fig. 4. Fig. 4 is a conceptual diagram for explaining the structure 2. As described above, the structure 2 may be made of a hardened material such as concrete or mortar, but is typically made of a stack of hardened body layers 20. Furthermore, there are grooves between the hardened body layers 20 of a plurality of structures 2. Furthermore, a measurement module 3 is incorporated in the structure 2 shown in Fig. 4, and this measurement module 3 includes a sensor 31.

[0035] Such a sensor 31 may be selected from various sensors capable of detecting the state of the structure 2.

[0036] More specific examples of the sensor 31 include an acceleration sensor, a strain gauge, a temperature sensor, a humidity sensor, a pressure sensor, a radiation sensor such as an optical sensor, an optical fiber (optical fiber cable), a vibration sensor, an AE (Acoustic Emission) sensor, a salinity sensor, a piezoelectric sensor, a load cell, a gas sensor (carbon dioxide sensor), etc. Of course, the sensor 31 is not limited to these, and the type of sensor 31 may be appropriately set according to the items to be managed, etc.

[0037] The sensor 31 is usually used to detect a state quantity of the structure 2. The state quantity here can also be set as appropriate, but for example, the following state quantities may be detected. That is, state quantities that the sensor 31 can detect may be displacement, deformation, vibration, load, temperature, humidity (moisture content), moisture penetration rate, chloride ion concentration, carbon dioxide concentration, etc. In addition, the type of state quantity to be detected may be changed as appropriate according to the needs of the user, etc.

[0038] The sensor 31 may be installed at any position of the structure 2, and the number of sensors 31 included in the structure 2 may be two or more. More specifically, the sensor 31 may be arranged in the following manner (i) and / or manner (ii). In the manner (i), the sensor evaluates the state quantity of the weather resistance of the structure, and is arranged near the surface layer of the structure. In the manner (ii), the sensor evaluates the state quantity of the mechanical environment of the structure, and a plurality of sensors are distributed and arranged inside the structure. That is, when it is assumed that sensors for evaluating the weather resistance of the structure 2, such as a temperature sensor, a humidity sensor, and a salinity sensor, among the above-mentioned sensors, are arranged in the structure 2, it is desirable that these sensors are arranged near the surface layer of the structure 2. By arranging the sensor 31 near the surface layer of the structure 2 in this way, changes in the structure 2 can be detected early. In this specification, "near the surface layer" is defined as follows when the thickness of the structure 2 at the location where the sensor 31 is present is T. That is, "near the surface" may be a position within a distance of (1 / 3)T, (1 / 4)T, or (1 / 5)T from the surface. In addition, assuming that a plurality of sensors for evaluating the mechanical environment in the structure 2, such as strain gauges and pressure sensors, among the above-mentioned sensors, are arranged in the structure 2, it is preferable to arrange these sensors in a dispersed manner without uneven distribution inside the structure 2. Note that "distributed arrangement" means that the sensors 31 are arranged at a predetermined interval in the structure 2, and the predetermined interval here may be 2 times or more, 5 times or more, 8 times or more, or 10 times or more as long as the thickness of the hardened body layer 20. In addition, it is preferable to set the type and arrangement location of the sensor 31 according to the location (underground, in the air, underwater) where the structure 2 exists.

[0039] The type of sensor 31 included in the structure 2 may be set according to the type of the structure 2. For example, if the structure 2 is a structure including reinforcing materials such as reinforcing bars as described below, it is preferable to place sensors that detect humidity (moisture content) and chloride ion concentration that may embrittle the reinforcing materials such as reinforcing bars. Of course, sensors capable of detecting other state quantities may also be added and combined with these.

[0040] The sensor 31 may be connected to a power supply unit 32. Here, the power supply unit 32 is configured to supply power to the sensor 31. Such a power supply unit 32 may be appropriately selected from among known power supply mechanisms. In a more typical example, the sensor 31 may be connected to a unit configured to receive power wirelessly and supply power to the sensor 31 as the power supply unit 32. The measurement module 3 may be partly exposed from the surface of the structure 2, or the entire module may be enclosed in the structure 2. In the latter case, in order to supply power to the sensor 31, the power supply unit 32 may be configured to receive power wirelessly from outside the structure 2 and supply power to the sensor 31. Note that such a power supply unit 32 that receives power wirelessly is preferably present near the surface of the structure 2 in order to facilitate communication from the outside.

[0041] Furthermore, the power supply unit 32 may be a unit configured to be capable of generating power and configured to supply the power generated by the power supply unit 32 to the sensor 31. The power generation here may be, for example, a power generation using a temperature difference within the structure 2 or a power generation using energy of vibrations on the structure 2. Note that the former power generation using a temperature difference may use a temperature difference caused by geothermal or solar heat in the environment in which the structure 2 exists. In such a case, the power supply unit 32 may be present near the surface layer of the structure 2. Furthermore, the power generation using energy of vibrations on the structure 2 may be applied to applications in which the structure 2 is exposed to vibrations (for example, a deck installed on a highway, etc.).

[0042] The sensor 31 may be connected to a wireless communication unit 33. Here, the wireless communication unit 33 is configured to transmit information acquired by the sensor 31 to the outside of the structure 2 (typically, the estimation device 1). Note that a part of the measurement module 3 may be exposed from the surface of the structure 2. In that case, instead of the wireless communication unit 33, a wired communication unit such as a cable may be adopted.

[0043] When installing such a wireless communication unit 33 in the structure 2, the location of the wireless communication unit 33 may be set according to the type of the structure 2. For example, when the structure 2 described below is a structure including reinforcing materials such as reinforcing bars, the wireless communication unit 33 is preferably placed so that the reinforcing materials such as reinforcing bars do not interfere with communication. Specifically, the wireless communication unit 33 is preferably placed so that when a straight line is drawn between the wireless communication unit 33 and the surface layer of the structure 2, no reinforcing materials such as reinforcing bars are present on the straight line.

[0044] Although not shown in Fig. 4, a repeater may be provided inside the structure 2. This repeater may be configured to relay communication between the wireless communication unit 33 and the outside of the structure 2. For example, when the sensor 31 and the wireless communication unit 33 are disposed near the center of the structure 2 (as an example, a location that does not fall under "near the surface"), such a repeater may be provided inside the structure 2 to ensure a communication environment. In such a case, the repeater may be installed near the surface of the structure 2.

[0045] Although not shown in Fig. 4, the sensor 31 may be connected to a power storage unit. The sensor 31 may be supplied with power by the power supply unit 32 as described above, but in preparation for cases where the amount of power supplied from the power supply unit 32 is unstable, power may be stored in the power storage unit in advance and the stored power may be supplied to the sensor 31 as appropriate. By providing a power storage unit in this manner, for example, when the sensor 31 continuously detects various state quantities, the sensor 31 can be driven stably. Note that such a power storage unit may be a capacitor or a secondary battery, and may be provided inside and / or outside the structure 2.

[0046] 1.2. Manufacturing method of structure 2 The above-mentioned structure 2 can be manufactured, for example, by carrying out the following steps. Figure 5 is a conceptual diagram for explaining the process of manufacturing the structure 2.

[0047] (Formation process) That is, the manufacturing method of the structure 2 of this embodiment includes, as a forming step, a step of forming a shaped object by discharging a hardening material, which is a powder or paste material that is mineralized via a hydration reaction, a polymerization reaction, or firing, from a 3D printer. That is, as shown in Fig. 5(a), a hardening material layer 21 is formed by discharging the hardening material from a nozzle 41 equipped in the 3D printer. Also, as shown in Fig. 5(b), a predetermined shaped object can be obtained by stacking the hardening material (hardening material layer 21).

[0048] Such modeling can be performed using an additive manufacturing device (3D printer). The additive manufacturing device is a type of industrial robot that uses 3D data created by a computer as a design drawing and stacks cross-sectional shapes to create a three-dimensional object. The additive manufacturing device can be a commercially available product or a known device. More specifically, the above-mentioned modeling can be performed by filling a tank provided in the additive manufacturing device with concrete or mortar and extruding the mortar material from a nozzle 41 provided in the additive manufacturing device. In obtaining a modeled object, the nozzle 41 may be moved to achieve a desired shape, or the modeled object or a stage on which the modeled object is placed may be moved to achieve a desired shape.

[0049] The molded object may be a combination of materials different from the hardening material. For example, a molded object may be a combination of a reinforcing material such as reinforcing bars with a hardening material, in which case the structure 2 also includes the reinforcing material such as reinforcing bars. The reinforcing material described in this specification may be called a reinforcing material, and is a material that can reinforce the strength (tensile strength, shear strength, etc.) of the structure 2. The structure of the molded object is not limited to the structure shown in FIG. 4, etc., and may be set arbitrarily within the range of shapes that can be additively molded.

[0050] The hardening material as described above may be, for example, a mortar containing a combination of materials selected from the following binder (A), fine aggregate (B), admixture (C), fibrous material (D), etc.

[0051] ·Binding material (A) The hardening material of the present embodiment may contain a binder (A). Here, the binder (A) is a general term for inorganic materials that contribute to the development of strength in mortar or concrete.

[0052] Here, the binder (A) may contain a cement component (A1). The cement component (A1) may contain a component selected from the group consisting of ordinary Portland cement, moderate-heat Portland cement, low-heat Portland cement, high-early-strength Portland cement, sulfate-resistant Portland cement, blast-furnace cement, and fly ash cement.

[0053] In addition, the binder (A) may contain an admixture (A2). The admixture (A2) may contain a component selected from the group consisting of fly ash, blast furnace slag (fine) powder, limestone (fine) powder, stone powder, silica fume, and an expansive material (lime composite expansive material). These admixtures (A2) are typically mixed in combination with the above-mentioned cement component (A1), but the binder (A) may be composed of only these admixtures (A2).

[0054] The binder (A) may be used alone or in combination of two or more. When using two or more types in combination, binders having different particle sizes may be mixed.

[0055] Fine aggregate (B) The hardened material of this embodiment may contain fine aggregate (B). In this embodiment, fine aggregate (B) refers to aggregate that passes entirely through a 10 mm mesh sieve and 85% or more by mass passes through a 5 mm mesh sieve (JIS A 0203:2014).

[0056] The type of fine aggregate (B) may be appropriately determined depending on the application, etc. As an example, the fine aggregate (B) may contain one or more components selected from the group consisting of sand, mountain sand, land sand, sea sand, silica sand, crushed sand, and slag fine aggregate. These fine aggregates (B) may be used alone or in combination of two or more types. When using in combination of two or more types, fine aggregates with different particle sizes may be mixed.

[0057] Admixtures that impart thixotropy (C) The hardening material powder composition of this embodiment may contain an admixture (C) that imparts thixotropy. This admixture (C) can contribute to improving the thixotropy of concrete or mortar. The admixture (C) here does not correspond to the above-mentioned binder (A) and fine aggregate (B), and refers to any agent that contributes to improving the thixotropy of the resulting concrete or mortar.

[0058] The admixture (C) may be appropriately selected from known materials capable of imparting the above-mentioned properties. As an example, the admixture (C) that imparts thixotropy may contain one or more components selected from the group consisting of cellulose, modified cellulose, minerals, nanofibers, urethane, xanthan gum, diutan gum, starch ether, guar gum, polyacrylamide, carrageenan gum, agar, protein, and latex.

[0059] Examples of modified cellulose that can be used as the admixture (C) of this embodiment include carboxymethyl cellulose, methyl cellulose, hydroxypropyl methyl cellulose, hydroxyethyl cellulose, and hydroxypropyl cellulose. Although cellulose and the modified cellulose described above are usually in a fibrous form, they are treated as the admixture (C) in this specification because they have a high effect of imparting thixotropy.

[0060] Examples of minerals that can be used as the admixture (C) in this embodiment include clay minerals such as attapulgite, bentonite, montmorillonite, kaolin, and sepiolite.

[0061] Examples of nanofibers that can be used as the admixture (C) of this embodiment include carbon nanofibers, cellulose nanofibers, etc. Although these nanofibers are usually in a fibrous form, they are treated as the admixture (C) in this specification because they have a high effect of imparting thixotropy.

[0062] Examples of synthetic fibers that can be used as the admixture (C) in this embodiment include polyolefin compounds such as polypropylene and polyethylene, polyvinyl alcohol, and polyvinyl acetate.

[0063] Examples of urethane usable as the admixture (C) of this embodiment include various urethane-based thickeners used as urethane-based associative thickeners. Examples of the urethane-based associative thickeners include "Thixostar" manufactured by Japan Materials Technology Co., Ltd., "Adekanol" series manufactured by ADEKA Corporation, and "SN Thickener" series manufactured by San Nopco Ltd.

[0064] Proteins that can be used as the admixture (C) of this embodiment include amino acid condensates having a predetermined molecular weight.

[0065] Examples of the latex that can be used as the admixture (C) in this embodiment include chloroprene rubber latex and acrylic latex.

[0066] Fiber materials (D) The curing material of the present embodiment may also contain a fiber material (D). By appropriately incorporating this fiber material (D), it is possible to contribute to improving the strength of the resulting shaped object, and to achieve a balance between lamination properties and pumpability. Note that the fiber material (D) in this specification does not fall under the category of the thickener (C).

[0067] The type of the fiber material (D) can be appropriately set. As an example, the fiber material (D) may include at least one fiber material selected from the group consisting of metal fiber, carbon fiber, aramid fiber, PP (polypropylene) fiber, PVA (polyvinyl acetate) fiber, PE (polyethylene) fiber, glass fiber, nylon fiber, and PBO (polybenzoxazole) fiber.

[0068] In addition, the fiber material (D) may include a fiber material of natural origin. Examples of such a fiber material of natural origin include fiber materials derived from plants and fiber materials derived from animals. Here, the "plant" in the fiber material derived from plants includes bamboo grass, bamboo, hemp, rice, wheat, etc., which can provide fiber materials industrially. Also, the "animal" in the fiber material derived from animals typically includes sheep, etc.

[0069] The fiber length (average fiber length) of the fibrous material (D) is preferably from 1 to 30 mm, more preferably from 3 to 25 mm, and most preferably from 5 to 20 mm.

[0070] Other Ingredients In addition, the hardening material of the present embodiment may contain other components other than the above-mentioned components (A) to (D) in order to impart desired properties. Examples of other components include rheology modifiers, antifoaming agents, water reducing agents, setting retarders, gas foaming substances, setting regulators, air-entraining agents, water-absorbing polymers, rust inhibitors, water repellents, antibacterial agents, colorants, antifreeze agents, anion exchangers such as hydrotalcite, and various aggregates. The amounts of these components to be blended are arbitrary.

[0071] In addition, when obtaining mortar, water is usually mixed in addition to the above-mentioned components (A) to (D). In addition, when concrete is used as the hardening material, coarse aggregate and the like may be further included. Although it is not necessarily required to be configured as described below, it is preferable that the hardening material has a limited content of metal materials (metal fibers, etc.) in order to promote communication between the sensor 31 and the outside of the structure 2.

[0072] (Installation process) Moreover, the manufacturing method of the structure 2 of this embodiment includes, as an installation step, a step of installing a sensor 31 in the shaped object during the formation step, and obtaining a structure 2 in which the sensor 31 is integrated with the cured material of the shaped object. The method of installing this sensor 31 is arbitrary. For example, if the measurement module 3 including the sensor 31 can be extruded from the nozzle 41 together with the curing material, the sensor 31 can be installed in the structure 2 by controlling the content of the material discharged from the nozzle 41 at a predetermined timing. Moreover, as a simpler method, as shown in FIG. 5(c) to FIG. 5(d), a mode in which the sensor 31 is installed between the laminated curing material layers 21 is exemplified. That is, in a typical mode, the sensor 31 is positioned and then installed in the shaped object.

[0073] Furthermore, after obtaining a shaped object including a sensor 31 as shown in Fig. 5(d), the object can be subjected to conditions that harden the curable material, thereby forming a structure 2 in which the sensor 31 and the shaped object (cured material) are integrated (see Fig. 5(e)). Note that the curing conditions here can be appropriately set depending on the curable material used.

[0074] In addition, when manufacturing such a structure 2 by a 3D printer, for example, the following process is performed. That is, first, the overall shape of the object is designed in advance. In addition, a code for controlling the 3D printer to print the designed object is designed in advance. Examples of the code format include STL, G-code, OBJ, 3MF, VRML, 3DS, AMF, etc. In addition, in this embodiment, the code designed in this way may be input with position information of various members arranged in the structure 2, such as the sensor 31 and the measurement module 3. In addition, the code designed may include information on the hardening material (composition, specific gravity, hardening speed, etc.). Examples of the code format including such information on the material include 3MF and AMF, and the accuracy of the shape of the object to be actually manufactured can be improved while simulating the object to be formed by the code once designed.

[0075] Next, modeling is performed by a 3D printer based on the above code. The arrangement of the sensor 31 and the measurement module 3 with respect to the structure 2 is performed by arranging the sensor 31, etc. at a predetermined position during this modeling process. This arrangement may be performed by an operator or a predetermined robot (robot arm, etc.). The arrangement of the sensor 31, etc. may be performed based on a code into which the position information of the member as described above is input. That is, the installation process of this embodiment may be performed by controlling a predetermined device so as to arrange the sensor at the position information inputted in the code. As a specific example, when the sensor 31, etc. is arranged by a predetermined robot, the robot may be controlled based on the code into which the position information of the sensor 31, etc. is inputted as described above. In addition, when the sensor 31, etc. is discharged from the nozzle of the 3D printer, the 3D printer may be controlled based on the code into which the position information is inputted.

[0076] In addition, the code can be added, edited, etc. in a post-process according to the environment or conditions of the modeling site. Also, the code (for example, input information such as modeling speed other than the path) may be adjusted in real time during modeling.

[0077] In this manner, a predetermined structure 2 can be obtained.

[0078] 1.3. Details of the estimation method Next, a description will be given of an information processing method (estimation method) executed by the estimation device 1 etc. The estimation method of this embodiment includes the following steps.

[0079] (Acquisition process) In the acquisition step, a signal is acquired from the sensor 31 provided in the structure 2 manufactured by the above-mentioned manufacturing method. As described above, the sensor 31 is provided inside the structure 2, and therefore can detect a state quantity related to the structure 2. The acquisition unit 111 of the estimation device 1 acquires the state quantity detected by this sensor 31 as a signal. Note that this acquisition may be performed via the wireless communication unit 33 in the measurement module 3, or may be achieved using other information means.

[0080] The acquisition may be performed periodically at a predetermined interval or in response to a user request. Furthermore, the acquisition unit 111 may be configured to continuously acquire a signal from the sensor 31 over a predetermined period of time.

[0081] (Estimated process) In the acquisition step, the state of the structure 2 is estimated based on the acquired signal. This estimation is realized by the function of the estimation unit 112 of the estimation device 1. The estimation here may be a quantitative estimation of the state of the structure 2 or a qualitative estimation. Furthermore, the state quantity detected by the sensor 31 itself may be the estimation result. In one aspect, the estimation unit 112 may perform calculations based on the above-mentioned signal so that the state of the structure 2 is expressed as a predetermined value.

[0082] Such an estimation may be performed based on a predetermined relationship model. Typically, such a relationship model is a model that is previously analyzed and stored in association with the state of the structure 2 and the state quantity detected by the sensor 31. The analysis method used to create the relationship model may be a known one. For example, data may be analyzed using a regression analysis method (linear model, generalized linear model, generalized linear mixed model, ridge regression, lasso regression, elastic net, support vector regression, projection pursuit regression, etc.), time series analysis (VAR model, SVAR model, ARIMAX model, SARIMAX model, state space model, etc.), decision tree (decision tree, regression tree, random forest, XGBoost, etc.), neural network (simple perceptron, multilayer perceptron, Transformer, DNN, CNN, RNN, LSTM, etc.), Bayes (Naive Bayes, etc.), clustering (k-means, k-means++, etc.), ensemble learning (Boosting, Adaboost, etc.), etc., to create a desired model.

[0083] From another perspective, the estimation unit 112 may obtain the state of the structure 2 as an output by inputting the signal acquired by the acquisition unit 111 into artificial intelligence, thereby executing the estimation process.

[0084] (warning process) In the warning step, a warning is issued when the state of the structure 2 estimated in the estimation step is in a predetermined state. As an example of this warning, the warning unit 114 issues a warning based on the relationship between a predetermined value calculated by the estimation unit 112 and a preset threshold value. The output mode of the warning can also be appropriately selected. For example, based on the function of the output unit 113, it is also possible to display the fact that the state of the structure 2 is not good as visual information via the display unit 14 of the estimation device 1. In addition, based on the function of the output unit 113, it is also possible to output the fact that the state of the structure 2 is not good as audio.

[0085] In addition, when the acquisition unit 111 continuously acquires a signal from the sensor 31, the warning unit 114 may issue a warning when there is a sudden change in the continuously acquired state quantity. In addition, the warning conditions are appropriately set according to the needs of the user.

[0086] As described above, the structure 2 in this embodiment is provided with the sensor 31 therein. Furthermore, according to this embodiment, the state of the structure 2 can be appropriately managed by the sensor 31.

[0087] <Second embodiment> Next, a second embodiment of the present invention will be described. Note that in the second embodiment, differences from the first embodiment will be mainly described, and descriptions of parts that overlap with the first embodiment will be omitted.

[0088] That is, the information processing method according to the second embodiment is as follows. An information processing method executed by an information processing device, The method includes an acquisition step and an output step, In the acquiring step, parameters related to the structure are acquired, Here, the structure is: A hardened product of an additive manufacturing process of a hardened material, which is a powder or paste material, that is mineralized via a hydration reaction, a polymerization reaction, or a firing reaction; A sensor provided in the hardened body, the parameter relating to the structure is based on a signal emitted by the sensor; An information processing method, in which the output step outputs a state of the structure and / or output information related to the state of the structure based on at least the acquired parameters related to the structure.

[0089] 2.1. Overall structure An overview of an information processing system according to a second embodiment to which such an information processing method is related will be described with reference to Fig. 6. Fig. 6 is a diagram showing the entire information processing system. An information processing system 200 according to the second embodiment includes a server 6 (information processing device), and this server 6 is configured to be able to communicate with various terminal devices (terminal devices 7A, 7B, 7C, 8).

[0090] FIG. 7 is a diagram showing a hardware configuration of the server 6. The server 6 typically includes a control unit 61, a storage unit 62, and a communication unit 65. These functions are similar to those of the control unit 11, the storage unit 12, and the communication unit 15 of the estimation device 1, respectively. The control unit 61 of the server 6 has various functions shown in FIG. 8. FIG. 8 is a functional block diagram showing the functions of the server 6. As shown in FIG. 8, the control unit 61 of the server 6 may include various functions of an acquisition unit 611, an estimation unit 612, an output unit 613, a warning unit 614, and a memory management unit 615. These functions are almost similar to those of the estimation device 1, and therefore will not be described here.

[0091] Next, various terminal devices configured to be able to communicate with the server 6 will be described. Although not limited thereto, the terminal devices 7A, 7B, and 7C are typically terminal devices owned by business entities that manufacture and manage structures (structures 2A, 2B, and 2C). Note that these structures are similar to the structure 2 in the first embodiment, and are equipped with measurement modules (measurement modules 3A, 3B, and 3C) therein. Also, the terminal device 8 is, for example, a terminal device owned by a business entity that repairs various structures. Note that the various terminal devices shown in FIG. 6 may be equipped with various elements such as a control unit, a storage unit, an input unit, a display unit, and a communication unit, similar to the estimation device 1 shown in the first embodiment.

[0092] As shown in Fig. 6, the terminal devices 7A, 7B, and 7C are configured to be able to acquire various signals from measurement modules provided in the structures, and are also configured to be able to transmit information based on the signals to the server 6. In other words, the server 6 is configured to be able to acquire parameters related to a plurality of types of structures. Furthermore, when the server 6 acquires various types of information in this manner, the server 6 is typically configured to store the information in the storage unit 62. In other words, since various types of information related to structures can be aggregated in the server 6, the server 6 can provide a platform for various terminal devices.

[0093] 6 (structures 2A, 2B, and 2C) include a hardened body of an additive manufacturing product made of a predetermined hardening material, and a sensor (measurement module) provided in the hardened body. The details of the hardening material and the sensor (measurement module) are the same as those shown in the first embodiment.

[0094] The terminal devices 7A, 7B, and 7C may be configured to acquire not only various information about the inside of the structure, but also manufacturing conditions in the 3D printing process. Fig. 9 is a conceptual diagram for explaining manufacturing conditions that can be acquired by the terminal device 7A.

[0095] As shown in FIG. 9, the terminal device 7A is configured to be able to communicate with the 3D printer 4 and the printing material manufacturing device 5, and is configured to be able to acquire various manufacturing conditions in the 3D printing process based on signals emitted by the 3D printer 4 and the printing material manufacturing device 5. Although not shown, devices used in various processes related to 3D printing, such as a curing process and a transport process of the 3D printed matter, may be configured to be able to communicate with the terminal device 7A. Information based on signals from various devices may be transmitted to the terminal device 7A and then further transmitted to the server 6. Although the terminal device 7A has been described as an example in FIG. 9, other terminal devices (terminal devices 7B and 7C) may be configured to be able to acquire manufacturing conditions in a similar manner.

[0096] As described in the first embodiment, the 3D printer 4 is a type of industrial robot that uses 3D data created by a computer as a design drawing and stacks 3D printing materials to create a three-dimensional object. Here, the 3D printer 4 may be a commercially available product or a known device. Although details are not shown in FIG. 9, the 3D printer 4 is equipped with the nozzle 41 described above (see FIG. 5, etc.). That is, various models can be created by extruding the 3D printing material (modeling material) from the nozzle 41 provided in the 3D printer 4.

[0097] The printing material manufacturing apparatus 5 is an apparatus that can constitute a part of a manufacturing system for 3D printing materials. The printing material manufacturing apparatus 5 may have various elements, but in this embodiment, it will be described as an apparatus equipped with a predetermined mixing tank 51. The mixing tank 51 may include an agitating blade 511 configured to be able to agitate the contents of the mixing tank 51, a motor 512 that rotates the agitating blade 511, and an input unit (input units 513, 514) configured to be able to input raw materials into the mixing tank 51. Here, the input unit 513 is configured to be able to input a first raw material that can be mixed with another raw material (second raw material) to provide a 3D printing material. Specifically, in the printing material manufacturing apparatus 5 shown in FIG. 9, the first raw material stored in the storage unit 52 is configured to be input into the mixing tank 51 in response to the opening and closing of the valve V2. The first raw material is, for example, a powder, but may be raw materials in various other forms. In addition, the input unit 514 is configured to be able to input a second raw material that can be mixed to provide a 3D printing material. In this embodiment, the second raw material is shown as water W, and the water W is introduced into the mixing tank 51 in response to the opening and closing of the valve V1.

[0098] The printing material manufacturing apparatus 5 may also include an unloading unit 53 configured to be able to unload the contents of the mixing tank 51 (the 3D printing material mixed in the mixing tank 51). This unloading operation can be achieved by opening and closing a valve V3. The printing material manufacturing apparatus 5 is also provided with a pump P1 for sending the manufactured 3D printing material to the outside. As shown in FIG. 9, typically, the manufactured 3D printing material is sent to a 3D printer 4 and subjected to a printing process.

[0099] The printing material manufacturing apparatus 5 may have a different configuration from that shown in FIG. 9 or additional configurations depending on the raw material used and the properties of the 3D printing material to be manufactured. For example, when powder is used as the raw material, a screw may be used to send the powder to the mixing tank 51. In addition, the printing material manufacturing apparatus 5 may be provided with various sensors for managing the temperature and pressure inside the apparatus. Signals related to these additional configurations may also be transmitted to the terminal device 7A and the server 6.

[0100] 2.2 Details of data processing method Next, an information processing method according to the second embodiment will be described. Fig. 10 is an activity diagram showing the flow of information processing according to the second embodiment. This information processing is typically executed by the control unit 61 of the server 6.

[0101] (Acquisition process) That is, in the information processing method of the second embodiment, first, the acquisition unit 611 of the server 6 acquires parameters related to the structure as an acquisition step (activity A101).

[0102] This acquisition step can be realized by the acquisition unit 611 of the server 6 acquiring a signal emitted from a sensor provided in the structure. Note that this acquisition step includes both a mode in which parameters related to the structure are acquired via various terminal devices (terminal devices 7A, 7B, 7C) as shown in FIG. 6 (i.e., various terminal devices relay the transmission of information), and a mode in which the acquisition unit 611 of the server 6 directly acquires parameters related to the structure (without going through a terminal device). As shown as the acquisition step in the first embodiment, this activity is achieved by acquiring the state quantity (parameters) of the structure as an information processing device. Note that the sensors provided in the structure are exemplified by those shown in the first embodiment.

[0103] In addition to the parameters related to the structure described above, this acquisition process may also acquire manufacturing conditions for manufacturing the structure. As shown in Fig. 9, the terminal device 7A can acquire various manufacturing conditions related to the 3D printing process, and can acquire these manufacturing conditions as the acquisition unit 611 of the server 6 (in this case, the terminal device 7A relays the information related to the manufacturing conditions to the server 6). The acquisition of these manufacturing conditions may also be achieved by the acquisition unit 611 of the server 6 acquiring them directly (without going through a terminal device).

[0104] The manufacturing conditions here may include, for example, the following: (i) Information on the raw material mix (materials used) of the hardening material (ii) Information regarding the environment (temperature, humidity, weather, location, etc.) when mixing the curing material (iii) Information regarding the conditions for compounding the curing material (e.g., mixing speed, mixing strength, mixing time, etc.) (iv) Information regarding the physical properties of the hardening material (e.g., viscosity, yield value, hardening property) (v) Information regarding the output conditions (pumping pressure, pump load, etc.) when performing additive manufacturing (vi) Information regarding the shape when additive manufacturing is performed (overall structure, pattern dimensions, spacing between patterns, etc.) (vii) Information regarding the time conditions for additive manufacturing (e.g., the time required to layer the filament) (viii) Information regarding the environment (temperature, humidity, weather, location, etc.) during hardening (curing) of the additively shaped hardened material (ix) Information regarding the conditions (time) for hardening (curing) the additively shaped hardened material (x) Information on the installation conditions of reinforcement materials (position, size, etc.) when the structure includes reinforcement materials (reinforcement materials). Of course, the above is not limiting, and the server 6 may be configured to acquire various manufacturing conditions involved in the additive manufacturing process.

[0105] (Output process) When the acquisition unit 611 of the server 6 acquires parameters related to the structure as described above, the output unit 613 of the server 6 outputs the state of the structure and / or output information related to the state of the structure based on at least the acquired parameters (activity A102).

[0106] This output step is achieved by generating output information by performing a predetermined arithmetic process on the information acquired by the acquisition unit 611. In a more typical embodiment, the output step is exemplified by estimating the state of the structure by matching the acquired parameters related to the structure with the first reference information, and outputting the output information. Here, the first reference information is information describing the parameters of a structure manufactured in the past in association with the state of the structure manufactured in the past.

[0107] That is, the state of the structure can be estimated from the acquired parameters by the function of the estimation unit 612 included in the server 6, and the output unit 613 can output predetermined output information as a result. Typically, the estimation unit 612 can estimate the state of the structure by reference information (for convenience, referred to as "first reference information") that describes the parameters of a previously manufactured structure in association with the state of the previously manufactured structure.

[0108] A case will be described below as an example in which the state of the structure 2A in FIG. 6 is estimated and predetermined output information is output. Prior to the execution of the acquisition step and the output step related to the structure 2A, the server 6 may acquire parameters of other structures (structures 2B, 2C, etc.) and the state of the structure corresponding to the parameters. Based on the acquired information, reference information may be created and stored in the storage unit 62 of the server 6. This reference information may be appropriately modeled. That is, this reference information (first reference information) may be a model analyzed and created by a predetermined method, similar to the "relationship model" shown in the first embodiment. When estimating the state of the structure 2A, a predetermined calculation is performed by matching the reference information stored in the storage unit 62 with the parameters of the structure 2A.

[0109] The estimation performed by the estimation unit 612 may be a quantitative estimation of the state of the structure, or a qualitative estimation. The state quantity detected by the sensor may itself be the estimation result. The estimation unit 612 may be configured to estimate various control items used for quality control of the structure. The control items may be, for example, compressive strength, modulus of longitudinal elasticity, carbonation depth, carbonation rate coefficient, permeability coefficient, permeability depth, surface layer air permeability coefficient, chloride ion diffusion coefficient, completed dimensions, residual strain, cracks, surface color, etc.

[0110] In the second embodiment, the number of sensors in the structure may be multiple, as in the first embodiment, and the placement locations of the sensors may be controlled in the additive fabrication process. In other words, since the placement locations of the sensors can be controlled in the additive fabrication process, the state of the structure can be estimated with higher accuracy.

[0111] In addition, the information processing method of this embodiment has the following aspects. That is, when estimating the state of a structure, a sensor corresponding to an item to be managed may be placed at an appropriate position in the structure. For example, in a technology for managing the state of a normal concrete structure, as shown in Patent Document 2, it is difficult to strictly control the position of the sensor in the structure. In contrast, in this embodiment, since the sensor can be incorporated in the structure during the additive modeling process, it is easy to place the sensor at a target position, and the accuracy of acquiring and outputting various information can be improved. To explain along a more typical example, the sensor in the structure may be placed in the mode (i) and / or mode (ii) in the first embodiment, thereby improving the estimation accuracy of the item to be estimated. Note that, as described in this specification, various reference information may be used in estimating the state, and the position of the sensor in the structure may also be associated with the state of the structure in this reference information. That is, since sensors are easily placed at target positions for structures other than the structure to be estimated, it can be said that it is easy to provide stable data as reference information.

[0112] The output step may output real-time information about the structure. Meanwhile, the output step may output a future state of the structure and / or information related to the future state of the structure. That is, the reference information may include information about a change in the state of the structure over time, and based on this information about the change in state over time, it is also possible to predict the change in the state of the structure that is the subject of the output information and the future state of the structure.

[0113] Furthermore, the output step may output output information based on the further acquired manufacturing conditions. In this case, the output step may output the output information by estimating the state of the structure by matching parameters corresponding to the acquired manufacturing conditions with the second reference information. Here, the second reference information is information describing parameters related to the manufacturing conditions of a previously manufactured structure and the state of the previously manufactured structure in association with each other.

[0114] As described above, the server 6 can acquire manufacturing conditions for various structures. From this, the estimation unit 612 included in the server 6 can estimate the state of the structure from the acquired parameters related to the structure and parameters corresponding to the manufacturing conditions, and the output unit 613 can output predetermined output information. Typically, the estimation unit 612 can estimate the state of the structure from information (for convenience, referred to as "second reference information") in which parameters related to the manufacturing conditions of a structure manufactured in the past and the state of the structure manufactured in the past are associated and described. Note that the information referred to by the server 6 may include both the first reference information and the second reference information described above, and may be modeled information as described above. Furthermore, even when output information is output based on such manufacturing conditions, the output information may be related to a future state.

[0115] The output process may obtain various information other than the above-mentioned parameters, and output predetermined output information based on this information. Such information may include information about the external environment. Information about the external environment may include, for example, temperature, humidity, wind speed, weather (amount of solar radiation), etc. Furthermore, information that can contribute to the output information may include imaging information (including still images and videos) that observes the state of the structure.

[0116] In one embodiment, the output step may output information on repairs according to the state of the structure as information related to the state of the structure. That is, when the state of the structure is deteriorated, information notifying the user to repair the structure may be output. In FIG. 6, a terminal device owned by an entity that repairs various structures is shown as the terminal device 8, and such information on repairs may be output so that the entity that performs the repairs can understand it. Typically, the display unit of the terminal device 8 may be controlled to display display content that encourages the user to repair a specific structure.

[0117] The information on the repair may include various information. For example, it may include information on the location of the structure, information quantitatively or qualitatively indicating the state of the structure, information indicating the owner of the structure, information on the time to repair the structure, information indicating the location to repair the structure (a specific part of the structure), and repair contents when repairing the structure. As shown in the first embodiment, the structure may be equipped with a plurality of measurement modules (sensors), so that the estimation unit 612 of the server 6 can determine which part (part) of the structure should be repaired. In addition, when outputting the repair contents from the information acquired by the acquisition unit 611, the type of parameter related to the structure and its value can be referred to. For example, if the chlorine concentration inside a certain structure is likely to increase, a construction method that prevents chlorine from being taken in from the external environment (for example, a coating method using a paint with high chlorine resistance) can be presented. Similarly, if the moisture inside a certain structure is likely to increase, a construction method that prevents moisture from being taken in from the external environment (for example, a coating method using a paint with high water repellency) can be presented.

[0118] <Modification> In this section, modifications of the above-described embodiments will be described.

[0119] Although the above embodiment has been described as a configuration of the estimation device 1, a program for causing a computer to execute each of the above-mentioned steps may be provided. Similarly, a program for causing a computer to execute each of the steps executed by the server 6 (information processing device) may be provided.

[0120] In the above-described embodiment, the estimation device 1 performs various storage and control, but multiple external devices may be used instead of the estimation device 1. That is, using a block chain technology or the like, the acquired information about the structure 2 and the like may be distributed and stored in multiple external devices.

[0121] In the above embodiment, the estimation device 1 receives data (signals) from the measurement module 3 via wireless communication, but the data (signals) may be received by a device different from the estimation device 1. For example, a device capable of storing various data, different from the estimation device 1, may receive the signal received from the measurement module 3 and transfer the data to the estimation device 1 separately.

[0122] Furthermore, it may be provided in the following aspects:

[0123] (1) A method for manufacturing a structure, comprising: a forming step; and an installation step, in which in the forming step, a molded object is formed by ejecting a hardening material, which is a powder or paste material that is mineralized via a hydration reaction, a polymerization reaction, or a firing, from a 3D printer; and in the installation step, a sensor is installed in the molded object during the forming step, and a structure is obtained in which the sensor is integrated with the hardened body of the molded object.

[0124] (2) In the manufacturing method described in (1) above, the forming step is performed by stacking the curable material, and the installation step is performed by disposing the sensor between the layers of the stacked curable material.

[0125] (3) The manufacturing method according to (1) above, wherein the sensor is connected to a power supply unit, and the power supply unit is configured to receive power wirelessly to supply power to the sensor.

[0126] (4) The manufacturing method according to (1) above, wherein the sensor is connected to a power supply unit, the power supply unit is configured to generate power, and the power supply unit is configured to supply the generated power to the sensor.

[0127] (5) In the manufacturing method described in (1) above, the sensor is connected to a wireless communication unit, and the wireless communication unit is configured to transmit information acquired by the sensor to the outside of the structure.

[0128] (6) In the manufacturing method described in (5) above, the structure includes a reinforcing material, and the wireless communication unit is positioned so that when a straight line is drawn between the wireless communication unit and the surface of the structure, the reinforcing material is not present on the straight line.

[0129] (7) In the manufacturing method described in (1) above, the sensor is arranged in the following manner (i) and / or manner (ii), wherein the manner (i) is a manner in which the sensor evaluates a state quantity of weather resistance related to the structure and is arranged near the surface of the structure, and the manner (ii) is a manner in which the sensor evaluates a state quantity of the mechanical environment related to the structure and a plurality of the sensors are distributed and arranged inside the structure.

[0130] (8) In the manufacturing method described in (1) above, the forming process is performed by controlling a 3D printer by a pre-designed code, and the code has position information of the sensor input therein.

[0131] (9) In the manufacturing method described in (8) above, the installation process is performed by controlling a specified device to place the sensor at the position information inputted into the code.

[0132] (10) An estimation method for estimating a state of a structure, comprising an acquisition step and an estimation step, in which the acquisition step acquires a signal from a sensor provided in the structure manufactured by the manufacturing method described in any one of (1) to (9) above, and the estimation step estimates the state of the structure based on the acquired signal.

[0133] (11) The estimation method according to (10) above, further comprising a warning step, in which the estimation step calculates a state of the structure based on the signal so that the state is represented as a predetermined value, and in the warning step, a warning is issued based on the relationship between the calculated predetermined value and a preset threshold value.

[0134] (12) An estimation device comprising a control unit, the control unit being configured to execute each of the steps recited in (10) above.

[0135] (13) A program causing a computer to execute each of the steps described in (10) above.

[0136] (14) A structure comprising: a hardened body of an additive manufacturing product of a hardened material, which is a powder or paste material that mineralizes via a hydration reaction, a polymerization reaction, or a calcination; and a sensor provided in the hardened body, wherein the sensor is arranged in the following manner (i) and / or manner (ii), in which the sensor evaluates a state quantity of weather resistance related to the structure and is arranged near the surface of the structure, and in which the sensor evaluates a state quantity of the mechanical environment related to the structure, and a plurality of the sensors are distributed and arranged inside the structure.

[0137] (15) An information processing method executed by an information processing device, comprising an acquisition step and an output step, in which the acquisition step acquires parameters related to a structure, the structure comprising a hardened body of an additive manufacturing product made of a hardened material that is a powder or paste material that mineralizes via a hydration reaction, a polymerization reaction, or a firing, and a sensor provided in the hardened body, the parameters related to the structure being based on a signal emitted from the sensor, and the output step outputs a state of the structure and / or output information related to the state of the structure based on at least the acquired parameters related to the structure.

[0138] (16) In the information processing method described in (15) above, the sensor is arranged in the following manner (i) and / or manner (ii), wherein the manner (i) is a manner in which the sensor evaluates a state quantity of weather resistance related to the structure and is arranged near the surface of the structure, and the manner (ii) is a manner in which the sensor evaluates a state quantity of the mechanical environment related to the structure and a plurality of the sensors are distributed and arranged inside the structure.

[0139] (17) In the information processing method described in (15) or (16) above, the output process includes estimating a state of the structure by matching the acquired parameters related to the structure with first reference information and outputting the output information, and the first reference information is information describing parameters of a previously manufactured structure in association with the state of the previously manufactured structure.

[0140] (18) An information processing method according to any one of (15) to (17) above, wherein the acquisition step further acquires manufacturing conditions for manufacturing the structure, and the output step further outputs the output information based on the acquired manufacturing conditions.

[0141] (19) In the information processing method described in (18) above, the output process estimates the state of the structure by matching parameters corresponding to the acquired manufacturing conditions with second reference information, and outputs the output information, and the second reference information is information describing parameters related to manufacturing conditions of a structure manufactured in the past in association with the state of the structure manufactured in the past.

[0142] (20) An information processing method according to any one of (15) to (19) above, wherein the output step outputs a future state of the structure and / or information related to the future state of the structure.

[0143] (21) An information processing method according to any one of (15) to (20) above, wherein the output step outputs information relating to repairs according to the condition of the structure as the information related to the condition of the structure.

[0144] (22) An information processing device comprising a control unit, the control unit being configured to execute each step of the information processing method according to any one of (15) to (21) above.

[0145] (23) A program that causes a computer to execute each step of the information processing method according to any one of (15) to (21) above. Of course, this is not the case.

[0146] In addition, the following reference forms are provided.

[0147] [α1] A method for manufacturing a structure, comprising the steps of: The method includes a forming step and an installation step, In the forming step, a hardened material made of concrete or mortar is ejected from a 3D printer to form a model, In the providing step, a sensor is provided in the shaped object during the forming step, and a structure in which the sensor is integrated with a hardened body of the shaped object is obtained. [α2] In the production method according to [α1], The forming step is carried out by laminating the curable material, The method of manufacturing, wherein the step of installing is performed by disposing the sensor between layers of the curable material that are laminated. [α3] In the production method according to [α1] or [α2], The sensor is connected to a power supply unit; The manufacturing method, wherein the power supply unit is configured to wirelessly receive power to supply power to the sensor. [α4] In the production method according to [α1] or [α2], The sensor is connected to a power supply unit; The manufacturing method, wherein the power supply unit is configured to be capable of generating power, and the power supply unit is configured to supply the generated power to the sensor. [α5] In the production method according to any one of [α1] to [α4], the sensor is connected to a wireless communication unit; The manufacturing method, wherein the wireless communication unit is configured to transmit information obtained by the sensor to an outside of the structure. [α6] In the manufacturing method according to [α5], The structure includes a reinforcing material, A manufacturing method in which the wireless communication unit is positioned so that when a straight line is drawn between the wireless communication unit and the surface layer of the structure, the reinforcing material is not present on the straight line. [α7] In the production method according to any one of [α1] to [α6], The sensors are arranged in the following manner (i) and / or manner (ii): The aspect (i) is an aspect in which the sensor evaluates a state quantity of weather resistance related to the structure, and the sensor is disposed near a surface layer of the structure, The aspect (ii) is a manufacturing method in which the sensor evaluates a state quantity of the mechanical environment related to the structure, and a plurality of the sensors are distributed and arranged inside the structure. [α8] In the production method according to any one of [α1] to [α7], The forming process is performed by controlling a 3D printer by a pre-designed code, A manufacturing method in which the code has position information of the sensor input thereto. [α9] In the manufacturing method according to [α8], A manufacturing method, wherein the installation step is performed by controlling a specified device to place the sensor at the position information inputted into the code. [α10] 1. A method for estimating a state of a structure, comprising: The method includes an acquisition step and an estimation step, In the acquisition step, a signal is acquired from the sensor provided in the structure manufactured by the manufacturing method according to any one of [α1] to [α9], In the estimation step, a state of the structure is estimated based on the acquired signal. [α11] In the estimation method according to [α10], It also has a warning process. the estimation step includes performing a calculation based on the signal so that the state of the structure is represented as a predetermined value; In the warning step, a warning is issued based on a relationship between the calculated predetermined value and a preset threshold value. [α12] An estimation device, comprising: A control unit is provided, The control unit is configured to execute each step described in [α10] or [α11]. [α13] A program, A program that causes a computer to execute each of the steps described in [α10] or [α11]. [α14] A structure comprising: A hardened body of an additive model made of a hardened material composed of concrete or mortar; A sensor provided in the cured body; A structure comprising:

[0148] Although the embodiments of the present invention have been described above, these are merely examples of the present invention, and various configurations other than those described above can be adopted. Furthermore, the present invention is not limited to the above-described embodiments, and modifications and improvements within the scope of the present invention are included in the present invention. [Explanation of symbols]

[0149] 1: Estimation device 2, 2A, 2B, 2C: Structure 3, 3A, 3B, 3C: Measurement modules 4: 3D printer 5: Printing material manufacturing equipment 6: Server 7A, 7B, 7C: Terminal device 8: Terminal device 10: Communication bus 11: Control section 12: Storage section 13: Input section 14:Display section 15: Communications Department 20: Cured material layer 21: Hardened material layer 31: Sensor 32: Power supply unit 33: Wireless communication unit 41: Nozzle 51: Mixing tank 52: Storage section 53: Removal part 61: Control section 62: Storage section 65: Communications Department 100: Estimation system 111: Acquisition Department 112: Estimation section 113: Output section 114: Warning section 115: Memory management department 200: Information Processing Systems 511: Mixing blade 512: Motor 513: Insertion section 514: Insertion section 611: Acquisition Department 612: Estimation section 613: Output section 614: Warning section 615: Memory management department P1: Pump V1, V2, V3: Valves W : Water

Claims

1. A method for manufacturing a structure, comprising: The method includes a forming step and an installation step, In the forming step, a hardening material, which is a powder or paste material that is mineralized through a hydration reaction, a polymerization reaction, or a firing, is ejected from a 3D printer to form a shaped object; In the providing step, a sensor is provided in the shaped object during the forming step, and a structure in which the sensor is integrated with a hardened body of the shaped object is obtained.

2. The method according to claim 1, The forming step is carried out by laminating the curable material, The method of manufacturing, wherein the step of installing is performed by disposing the sensor between layers of the curable material that are laminated.

3. The method according to claim 1, The sensor is connected to a power supply unit; The manufacturing method, wherein the power supply unit is configured to wirelessly receive power to supply power to the sensor.

4. The method according to claim 1, The sensor is connected to a power supply unit; The manufacturing method, wherein the power supply unit is configured to be capable of generating power, and the power supply unit is configured to supply the generated power to the sensor.

5. The method according to claim 1, the sensor is connected to a wireless communication unit; The manufacturing method, wherein the wireless communication unit is configured to transmit information obtained by the sensor to an outside of the structure.

6. The method according to claim 5, The structure includes a reinforcing material, A manufacturing method in which the wireless communication unit is positioned so that when a straight line is drawn between the wireless communication unit and the surface layer of the structure, the reinforcing material is not present on the straight line.

7. The method according to claim 1, The sensors are arranged in the following manner (i) and / or manner (ii): The aspect (i) is an aspect in which the sensor evaluates a state quantity of weather resistance related to the structure, and the sensor is disposed near a surface layer of the structure, The aspect (ii) is a manufacturing method in which the sensor evaluates a state quantity of a mechanical environment related to the structure, and a plurality of the sensors are distributed and arranged inside the structure.

8. The method according to claim 1, The forming step is performed by controlling a 3D printer by a pre-designed code, A manufacturing method in which the code has position information of the sensor input thereto.

9. The method according to claim 8, A manufacturing method, wherein the installation step is performed by controlling a specified device to place the sensor at the position information inputted into the code.

10. 1. A method for estimating a state of a structure, comprising: The method includes an acquisition step and an estimation step, In the acquiring step, a signal is acquired from the sensor provided in the structure manufactured by the manufacturing method according to any one of claims 1 to 9, In the estimation step, a state of the structure is estimated based on the acquired signal.

11. The estimation method according to claim 10, It also has a warning process. the estimation step includes performing a calculation based on the signal so that the state of the structure is represented as a predetermined value; In the warning step, a warning is issued based on a relationship between the calculated predetermined value and a preset threshold value.

12. An estimation device, comprising: A control unit is provided, The estimation device, wherein the control unit is configured to execute each step recited in claim 10.

13. A program, A program causing a computer to execute each of the steps according to claim 10.

14. A structure comprising: A hardened product of an additive manufacturing process of a hardened material, which is a powder or paste material, that is mineralized via a hydration reaction, a polymerization reaction, or a firing reaction; A sensor provided in the cured body; Equipped with The sensors are arranged in the following manner (i) and / or manner (ii): The aspect (i) is an aspect in which the sensor evaluates a state quantity of weather resistance related to the structure, and the sensor is disposed near a surface layer of the structure, The aspect (ii) is a structure in which the sensor evaluates a state quantity of a mechanical environment related to the structure, and a plurality of the sensors are distributed and arranged inside the structure.

15. An information processing method executed by an information processing device, The method includes an acquisition step and an output step, In the acquiring step, parameters related to the structure are acquired, Here, the structure is: A hardened product of an additive manufacturing process of a hardened material, which is a powder or paste material, that is mineralized via a hydration reaction, a polymerization reaction, or a firing reaction; A sensor provided in the hardened body, the parameter relating to the structure is based on a signal emitted by the sensor; An information processing method, in which the output step outputs a state of the structure and / or output information related to the state of the structure based on at least the acquired parameters related to the structure.

16. 16. The information processing method according to claim 15, The sensors are arranged in the following manner (i) and / or manner (ii): The aspect (i) is an aspect in which the sensor evaluates a state quantity of weather resistance related to the structure, and the sensor is disposed near a surface layer of the structure, The aspect (ii) is an information processing method in which the sensor evaluates a state quantity of a mechanical environment related to the structure, and a plurality of the sensors are distributed and arranged inside the structure.

17. 16. The information processing method according to claim 15, the output step includes estimating a state of the structure by matching the acquired parameters related to the structure with first reference information, and outputting the output information; An information processing method, wherein the first reference information is information describing parameters of a previously manufactured structure in association with a state of the previously manufactured structure.

18. 16. The information processing method according to claim 15, In the acquisition step, manufacturing conditions for manufacturing the structure are further acquired, In the output step, the output information is output based on the acquired manufacturing conditions.

19. 20. The information processing method according to claim 18, the output step includes estimating a state of the structure by matching a parameter corresponding to the acquired manufacturing condition with second reference information, and outputting the output information; An information processing method, wherein the second reference information is information describing parameters relating to manufacturing conditions of a structure manufactured in the past in association with a state of the structure manufactured in the past.

20. 16. The information processing method according to claim 15, An information processing method, wherein the output step outputs a future state of the structure and / or information related to the future state of the structure.

21. 16. The information processing method according to claim 15, In the output step, information relating to repairs according to the state of the structure is output as information relating to the state of the structure, in this information processing method.

22. An information processing device, A control unit is provided, The information processing device, wherein the control unit is configured to execute each step of the information processing method according to any one of claims 15 to 21.

23. A program, A program causing a computer to execute each step of the information processing method according to any one of claims 15 to 21.

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