Degradation prediction system, degradation prediction method, and program

Abstract

We provide a deterioration prediction system that can predict deterioration of structures due to rust. [Solution] The deterioration prediction system 10 includes a first acquisition unit 44 that acquires first information about the environment of the area where the long structure 90 that deteriorates due to rust is located, a second acquisition unit 45 that acquires second information about the environment around the structure 90, a generation unit 47 that predicts the deterioration of the structure 90 due to rust and generates deterioration prediction information based on the first and second information, and an output unit 48 that outputs the deterioration prediction information.

Description

Technical Field

[0001] The present invention relates to a deterioration prediction system, a deterioration prediction method, and a program.

Background Art

[0002] Techniques related to the maintenance of infrastructure facilities have been proposed. Patent Document 1 discloses a notification management device that can utilize notifications regarding infrastructure facilities such as streetlights.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The present invention provides a deterioration prediction system and the like that can predict deterioration of a structure due to rust.

Means for Solving the Problems

[0005] A deterioration prediction system according to an aspect of the present invention includes a first acquisition unit that acquires first information regarding the environment of an area where a long structure that deteriorates due to rust is arranged, a second acquisition unit that acquires second information regarding the environment around the structure, a generation unit that predicts deterioration of the structure due to rust and generates deterioration prediction information based on the first information and the second information, and an output unit that outputs the deterioration prediction information.

[0006] A deterioration prediction method according to one aspect of the present invention is a computer-based deterioration prediction method comprising: acquiring first information relating to the environment of an area where a long structure that deteriorates due to rust is located; acquiring second information relating to the environment surrounding the structure; predicting the deterioration of the structure due to rust based on the first and second information and generating deterioration prediction information; and outputting the deterioration prediction information.

[0007] A program according to one aspect of the present invention causes a computer to execute the above-described degradation prediction method. [Effects of the Invention]

[0008] According to the present invention, it is possible to provide a deterioration prediction system that can predict deterioration of structures due to rust. [Brief explanation of the drawing]

[0009] [Figure 1] Figure 1 is a block diagram showing the configuration of a degradation prediction system relating to one embodiment of the present invention. [Figure 2] Figure 2 shows an example of a user taking a photograph of a structure (for example, a streetlamp) using an information terminal. [Figure 3] Figure 3 shows a first example of a still image taken using an information terminal. [Figure 4] Figure 4 shows a second example of a still image taken using an information terminal. [Figure 5] Figure 5 is a sequence diagram showing an example of the operation of the degradation prediction system. [Figure 6] Figure 6 is a block diagram showing the configuration of the degradation prediction system based on the modified form of the present invention. [Modes for carrying out the invention]

[0010] The embodiments of the present invention will be described below in detail with reference to the drawings. The embodiments described below are all general or specific examples. The numerical values, shapes, materials, components, arrangement and connection configurations of components, steps, and the order of steps shown in the following embodiments are examples only and are not intended to limit the present invention. Furthermore, the figures are schematic diagrams and are not necessarily strictly accurate. In the figures, substantially identical components are denoted by the same reference numerals, and redundant explanations may be omitted or simplified.

[0011] (Embodiment) [composition] The configuration of the degradation prediction system 10 according to one embodiment of the present invention will be described with reference to Figures 1 to 5. Figure 1 is a block diagram showing the configuration of the degradation prediction system 10 according to one embodiment of the present invention.

[0012] The deterioration prediction system 10 is a system that predicts deterioration due to rust in long structures 90 installed outdoors or elsewhere that deteriorate due to rust. Examples of structures include utility poles, streetlights, fences, convex mirrors, road signs, or playground equipment. Traditionally, the management of structures has often been done in an analog manner (i.e., by manual labor), and maintenance may be performed irregularly. According to the deterioration prediction system 10 of this embodiment, a computer predicts the deterioration of the structure 90 due to rust based on information about the local environment of the structure 90 and information about the surrounding environment of the structure 90, and outputs deterioration prediction information. As a result, for example, the frequency of maintenance can be reduced. In other words, inspections do not need to be conducted in areas where deterioration is predicted not to occur. Furthermore, for example, the condition of the structure, especially the maintenance status, can be managed without relying on manual labor, and planned maintenance of the structure can be realized. Also, for example, if the structure is maintained systematically, maintenance costs will be reduced as a result, and the occurrence of structural malfunctions and unsafe conditions caused by structural malfunctions can be suppressed.

[0013] The deterioration prediction system 10 comprises multiple information terminals 20, an image management system 30, a diagnostic system 40, a structure management system 50, and a local government system 60. In this embodiment, the deterioration prediction system 10 comprises one local government system 60 corresponding to one local government, but it may also comprise multiple local government systems 60 corresponding to multiple local governments. These devices or systems will be described in detail below.

[0014] Each of the multiple information terminals 20 is, for example, an information terminal owned by a user (such as a citizen, a local government employee, or a contracted employee). The user uses the information terminal 20 to take a still image showing the state of the structure 90 (see Figure 2) and transmits (posts) the image information of the captured still image to the image management system 30. At this time, in addition to the image information of the captured still image, the user may also transmit (post) information about the structure to the image management system 30 as needed. Information about the structure may, for example, be information indicating that there is vegetation around the structure, or information indicating that the structure is surrounded by concrete. For example, information about the structure may be tagged in the image information, or the image information and information about the structure may be linked by checking a check box that indicates information about the structure.

[0015] Figure 2 shows an example of a user taking a photograph of a structure 90 (e.g., a streetlamp) using an information terminal 20. Figures 3 and 4 show examples of still images taken. The information terminal 20 is a portable information terminal such as a smartphone or tablet.

[0016] The still image may be an overall image of the structure 90, or an image of the main part of the structure 90. Figure 3 is an example of an overall image of the structure 90, and Figure 4 is an example of an image of the main part of the structure 90. The still image in Figure 4 shows the base of the streetlamp, and the base of the streetlamp can be considered a main part because it is a part that is prone to deterioration in the maintenance of streetlamps.

[0017] In addition, the image information includes the position information of the information terminal 20 when the still image included in the image information was taken (in other words, the position information of the structure 90 reflected in the still image). The position information is measured, for example, by a position measurement unit (not shown) provided in the information terminal 20. The position measurement unit is realized by, for example, a GNSS (Global Navigation Satellite System) module such as a GPS (Global Positioning System) module.

[0018] Returning to FIG. 1, the image management system 30 is a system that receives, from the information terminal 20, image information including a still image in which the structure 90 photographed by the information terminal 20 is reflected and the position information of the information terminal 20 when the still image was taken, and stores (manages) the received image information. Further, the image management system 30 communicates with the structure management system 50 via a wide-area communication network to transmit (provide) the image information to the structure management system 50. The image management system 30 is realized by one or more server devices (cloud servers), but may also be realized in a serverless manner.

[0019] The diagnosis system 40 receives image information and information around the structure, etc. from the structure management system 50, and predicts (diagnoses) the deterioration of the structure 90 reflected in the still image included in the received image information. The diagnosis system 40, for example, takes the still image as an input, predicts the deterioration due to rust of the structure 90 reflected in the still image, and calculates the period until at least one of the repair and replacement of the structure 90 becomes necessary. Further, the diagnosis system 40 generates deterioration prediction information of the structure 90 and transmits (provides) the deterioration prediction information to the structure management system 50. The diagnosis system 40 is realized by one or more server devices (cloud servers), but may also be realized in a serverless manner. The diagnosis system 40 includes a communication unit 41, an information processing unit 42, and a storage unit 43.

[0020] The communication unit 41 is a communication circuit (communication module) for the diagnostic system 40 to communicate with the structure management system 50 via a wide area communication network. The communication unit 41 is, for example, a wired communication circuit for performing wired communication, but may also be a wireless communication circuit for performing wireless communication. There is no particular limitation on the communication standard of the communication performed by the communication unit 41.

[0021] The information processing unit 42 performs information processing related to the deterioration prediction of the structure 90. The information processing unit 42 is realized, for example, by a microcomputer, but may also be realized by a processor. The information processing unit 42 includes, as functional components, a first acquisition unit 44, a second acquisition unit 45, a third acquisition unit 46, a generation unit 47, and an output unit 48. The functions of the first acquisition unit 44, the second acquisition unit 45, the third acquisition unit 46, the generation unit 47, and the output unit 48 are realized, for example, by a microcomputer or a processor constituting the information processing unit 42 executing a computer program stored in the storage unit 43.

[0022] The first acquisition unit 44 acquires first information related to the environment of the area where the structure 90 is located. The first information may, for example, include information regarding the use of the area where the structure 90 is located and / or information regarding the climate of the area.

[0023] The second acquisition unit 45 acquires second information related to the environment around the structure 90. The second acquisition unit 45 may acquire the second information from the information posted by the user through the above-described tagging or scoring check. Alternatively, the second acquisition unit 45 may read the second information from the image information (still image) posted by the user. When reading the second information from the image information, tagging or scoring check by the user may not be performed. The second information may, for example, include information regarding the state of plants around the structure 90 and / or information regarding the installation surface of the structure 90.

[0024] The third acquisition unit 46 acquires third information relating to the state of the structure 90 at a first point in time. The third information may include, for example, information relating to the installation period from when the structure 90 was installed until the first point in time.

[0025] The generation unit 47 predicts the deterioration of the structure 90 due to rust based on the first information and the second information and generates deterioration prediction information. In this embodiment, the generation unit 47 predicts the deterioration of the structure 90 due to rust based on the first information, the second information and the third information and generates deterioration prediction information. The deterioration prediction information may include, for example, information on the progress of deterioration of the structure 90 due to rust at a first point in time, or it may include information on the period from the first point in time until repairs or other measures become necessary.

[0026] The output unit 48 outputs deterioration prediction information. In this embodiment, the output unit 48 outputs the deterioration prediction information generated by the generation unit 47 to the structure management system 50.

[0027] The storage unit 43 is a storage device that stores computer programs executed by the information processing unit 42, as well as structural management information, etc. The storage unit 43 is implemented by, for example, an HDD (Hard Disk Drive), but may also be implemented by semiconductor memory.

[0028] The structure management system 50 receives image information from the image management system 30 and transmits the received image information to the diagnostic system 40, thereby receiving deterioration prediction information for the structure 90 from the diagnostic system 40. The structure management system 50 also stores the received image information and the received deterioration prediction information, along with other structure management information, in the storage unit 53, and transmits (provides) the structure management information to the local government system 60 as needed. The structure management system 50 is implemented by one or more server devices (cloud servers), but may also be implemented serverlessly. The structure management system 50 comprises a communication unit 51, an information processing unit 52, and a storage unit 53.

[0029] The communication unit 51 is a communication circuit (communication module) for the structure management system 50 to communicate with the image management system 30, the diagnostic system 40, and the local government system 60 via a wide-area communication network. The communication unit 51 is, for example, a wired communication circuit, but it may also be a wireless communication circuit. There are no particular limitations on the communication standards used by the communication unit 51.

[0030] The information processing unit 52 performs information processing related to the management of the structure 90. The information processing unit 52 is implemented by, for example, a microcomputer, but may also be implemented by a processor. The information processing unit 52 includes, as functional components, an acquisition unit 54, a management unit 55, and an output unit 56. The functions of the acquisition unit 54, the management unit 55, and the output unit 56 are realized, for example, by the microcomputer or processor constituting the information processing unit 52 executing a computer program stored in the storage unit 53.

[0031] The storage unit 53 is a storage device that stores computer programs executed by the information processing unit 52, as well as structural management information, etc. The storage unit 53 is implemented by, for example, an HDD (Hard Disc Drive), but may also be implemented by semiconductor memory.

[0032] The local government system 60 is a system used by local government employees. Local government employees can access the structure management system 50 using the local government system 60 and receive structure management information for structures 90 under the management of the local government from the structure management system 50. The local government system 60 is implemented, for example, by a local government terminal and a local government server, but it may also be implemented as a local government terminal alone. The local government terminal is, for example, a stationary information terminal such as a personal computer, but it may also be a portable information terminal such as a smartphone or tablet. The local government system 60 comprises an operation reception unit 61, a display unit 62, a communication unit 63, an information processing unit 64, and a storage unit 65.

[0033] The operation reception unit 61 receives operations from local government employees. The operation reception unit 61 is implemented, for example, by a touch panel.

[0034] The display unit 62 displays images (moving images or still images). The display unit 62 may display, for example, an image of the structure 90, first information, second information, third information, the deterioration status of the structure 90 plotted on a map of the area managed by the local government, and / or a deterioration prediction. The display unit 62 is implemented by a display panel such as a liquid crystal panel or an organic EL (Electro Luminescence) panel.

[0035] The communication unit 63 is a communication circuit (communication module) for the local government system 60 to communicate with the structure management system 50 via a wide-area communication network. The communication unit 63 is, for example, a wired communication circuit for wired communication, but it may also be a wireless communication circuit for wireless communication. There are no particular limitations on the communication standards used by the communication unit 63.

[0036] The information processing unit 64 performs information processing related to the visualization of structural management information provided by the structural management system 50. The information processing unit 64 is implemented by, for example, a microcomputer, but may also be implemented by a processor. The information processing unit 64 includes an output unit 66 as a functional component. The function of the output unit 66 is realized, for example, by the microcomputer or processor constituting the information processing unit 64 executing a computer program stored in the storage unit 65.

[0037] The storage unit 65 is a memory device that stores computer programs and the like executed by the information processing unit 64. The storage unit 65 is implemented by, for example, an HDD, but may also be implemented by a semiconductor memory.

[0038] [Example of operation] Next, an example of the operation of the degradation prediction system 10 will be described with reference to Figure 5. Figure 5 is a sequence diagram of an example of the operation of the degradation prediction system 10.

[0039] Local government officials perform a prescribed registration operation to register the structures 90 that are under the management of the local government, and the operation reception unit 61 of the local government system 60 accepts the registration operation (S11). The information processing unit 64 generates registration information for the structures 90 to be managed and transmits the generated registration information to the structure management system 50 using the communication unit 63 (S12). The registration information includes identification information of the structure 90 to be registered (e.g., management number or name), type (e.g., street light, utility pole, convex mirror, road sign, or playground equipment), manufacturer name, dimensions of the structure 90 (e.g., overall height of the structure 90, or height of a specific part of the structure 90), installation location, and installation date.

[0040] The communication unit 51 of the structure management system 50 receives registration information. The information processing unit 52 can identify the structure 90 to be registered based on the received registration information. The information processing unit 52 then communicates with the image management system 30 using the communication unit 51 and sends an image provision request to the image management system 30 to obtain image information of the structure 90 to be managed (S13). The image provision request includes information indicating the installation location of the structure 90 to be registered.

[0041] The image management system 30 receives an image provision request and identifies the image information of the structure 90 to be managed by comparing the information indicating the installation location included in the received image provision request with the location information of the structure 90 shown in the still image included in the image information managed by the image management system 30. The image management system 30 transmits the identified image information to the structure management system 50 (S14). In some cases, the image information of the structure 90 to be managed may not exist as a result of the comparison.

[0042] In this embodiment, the image management system 30 generates first information and second information based on image information and transmits the first information and second information to the structure management system 50 along with the image information. The first information is information about the environment of the area where the structure 90 is located. The second information is information about the environment surrounding the structure 90. The image management system 30 may generate the first information based, for example, on location information included in the image information and known map information. The image management system 30 may also have, for example, a machine learning model that can take a still image as input and output the environment surrounding the structure 90 as seen in the still image, and may generate the second information using the machine learning model.

[0043] The first piece of information may include, for example, information about the land use of the area. This information may include, for example, whether the area falls into the category of urban area, rural area, industrial area, or coastal area.

[0044] Furthermore, the first piece of information may include, for example, information about the local climate. This information about the local climate may include, for example, whether the local climate corresponds to the Setouchi climate, continental climate, Hokkaido climate, Pacific coast climate, or Sea of ​​Japan coast climate.

[0045] Furthermore, the first information may include, for example, information regarding regional precipitation, temperature, and / or wind speed. Additionally, the first information may include, for example, information regarding special factors such as whether the region is a hot spring area and whether it is a heavily salt-tolerant area.

[0046] The second information may include, for example, information about the condition of plants (e.g., plantings) around the structure 90. Information about the condition of plants may include, for example, information about the presence or absence of plants. Information about the condition of plants may also include, for example, information about the presence or absence of plants of a predetermined size (e.g., 0.5 meters) or larger. Information about the condition of plants may also include, for example, information about whether or not plants surround the structure 90.

[0047] Furthermore, the second piece of information may include, for example, information regarding the installation surface of the structure 90. The information regarding the installation surface may include, for example, information regarding whether the base of the structure 90 is buried in soil or in concrete foundation.

[0048] Furthermore, the second information may include, for example, information regarding the volume of vehicle traffic around the structure 90. In this case, the second information may be generated based on location information included in the image information and known traffic volume data.

[0049] The second information may also include, for example, information regarding the state of deterioration due to rust of other structures located around structure 90. Other structures include, for example, utility poles, streetlights, fences, convex mirrors, road signs, or playground equipment. Preferably, the other structures are of the same type as structure 90. The information regarding the state of deterioration may include, for example, the degree of deterioration due to rust of the other structures. The degree of deterioration may be, for example, the area and color of the rusted parts.

[0050] Furthermore, the second information may include, for example, information about residences around the structure 90. The information about residences may be, for example, the distance to the nearest residential area, or the density of houses. In this case, the second information may be generated based on location information included in the image information and known map information.

[0051] The communication unit 51 of the structure management system 50 receives image information, first information, and second information. The information processing unit 52 communicates with the diagnostic system 40 using the communication unit 51 and sends a diagnostic request to the diagnostic system 40, which includes image information, first information, second information, and third information of the structure 90 to be managed (S15).

[0052] The third piece of information concerns the state of the structure 90 at the first point in time. For example, the third piece of information may include information concerning the installation period from when the structure 90 was installed until the first point in time.

[0053] The communication unit 41 of the diagnostic system 40 receives a diagnostic request that includes image information, first information, second information, and third information. The first acquisition unit 44, second acquisition unit 45, and third acquisition unit 46 of the diagnostic system 40 acquire the first information, second information, and third information, respectively (S16). Specifically, the first acquisition unit 44 acquires first information concerning the environment of the area where the structure 90 is located. The second acquisition unit 45 acquires second information concerning the environment surrounding the structure 90. The third acquisition unit 46 acquires third information concerning the state of the structure 90 at a first point in time. At this time, for example, one of the first acquisition unit 44 to the third acquisition unit 46 acquires image information.

[0054] The generation unit 47 predicts the deterioration of the structure 90 due to rust and generates deterioration prediction information based on at least the first and second information (S17). In this embodiment, the generation unit 47 predicts the deterioration of the structure 90 due to rust and generates deterioration prediction information based on the first, second, and third information. The deterioration prediction information includes, for example, information regarding the period until at least one of repair and replacement of the structure 90 becomes necessary.

[0055] In this embodiment, the generation unit 47 predicts the deterioration of the structure 90 using, for example, the following equation (1).

[0056] (Math 1) Y = X / (a ​​× b) - Z ... (1)

[0057] Y represents the period until at least one of repair or replacement of the structure 90 becomes necessary. X represents the expected service life of the structure 90. The expected service life is an estimate of the period from installation to replacement of the structure 90, and in this case, for example, it is 45 years. a is the acceleration coefficient due to macro factors. Specifically, a is a coefficient set in accordance with the first information. For example, if the first information includes information on the use of the area, then as shown in Table 1 below, urban areas, rural areas, industrial areas and coastal areas are associated with 1, 0.5, 2, and 4, respectively. b is the acceleration coefficient due to micro factors. Specifically, b is a coefficient set in accordance with the second information. For example, if the second information includes information on the installation surface and information on the condition of the surrounding vegetation, then as shown in Table 2 below, root-wrapped concrete, soil and vegetation are associated with 1, 1.5, and 2, respectively. Z represents the service life of the structure 90. Specifically, Z represents the installation period from the time the structure 90 was installed until the first point in time (for example, the present).

[0058] [Table 1]

[0059] [Table 2]

[0060] For example, if the area where structure 90 is installed is an industrial zone (a=2), there are plants around structure 90 (b=2), and 10 years have passed since structure 90 was installed (Z=10), then Y = 45 / (2×2)-10 = 1.25 [years]. Therefore, it is predicted that at least one of repairs or replacements of structure 90 will be necessary after 1.25 years.

[0061] The output unit 48 of the diagnostic system 40 outputs the deterioration prediction information generated by the generation unit 47 (S18). In this embodiment, the output unit 48 transmits (outputs) the deterioration prediction information to the structure management system 50 using the communication unit 41. In other words, the diagnostic system 40 transmits the diagnostic result of the degree of deterioration of the managed structure 90 to the structure management system 50. Note that the generation unit 47 does not have to predict the number of years using the above formula (1). The generation unit 47 may, for example, predict deterioration levels such as levels A to D.

[0062] The acquisition unit 54 of the structure management system 50 acquires the registration information received in step S11, the image information received in step S14, and the deterioration prediction information received in step S18 (S19). The management unit 55 generates structure management information by associating the acquired registration information with the image information and deterioration prediction information, and stores the generated structure management information in the storage unit 53 (S20).

[0063] The management unit 55 may extract structures 90 that require maintenance based on deterioration prediction information and include information indicating the need for maintenance in the structure management information. The management unit 55 can determine whether maintenance is necessary, for example, by comparing deterioration prediction information (for example, the value of Y calculated in step S16) with a threshold. This determination is performed by the diagnostic system 40, and the result of the determination of whether maintenance is necessary may be included in the deterioration prediction information.

[0064] Subsequently, the local government officials perform a prescribed viewing operation to view at least a portion of the structural management information, and the operation reception unit 61 of the local government system 60 accepts the viewing operation (S21). The information processing unit 64 uses the communication unit 63 to send the viewing request to the structural management system 50 (S22).

[0065] The communication unit 51 of the structure management system 50 receives a viewing request. The output unit 56 transmits (outputs) the structure management information specified in the viewing request (more specifically, information for visualizing the structure management information) to the local government system 60 using the communication unit 51 (S23).

[0066] The communication unit 63 of the local government system 60 receives structural management information. The output unit 66 displays the received structural management information on the display unit 62 (S24). In other words, the output unit 66 outputs the structural management information as display information.

[0067] As described above, the deterioration prediction system 10 includes a first acquisition unit 44 that acquires first information about the environment of the area where the structure 90 is located, a second acquisition unit 45 that acquires second information about the environment surrounding the structure 90, a generation unit 47 that predicts deterioration of the structure 90 due to rust and generates deterioration prediction information based on the first and second information, and an output unit 48 that outputs the deterioration prediction information.

[0068] Such a deterioration prediction system 10 can output deterioration prediction information that predicts deterioration of the structure 90 due to rust, and can therefore support maintenance, for example, by reducing the frequency of maintenance on the structure 90. Specifically, if information on the period until at least one of repair and / or replacement of the structure 90 becomes necessary, which is included in the deterioration prediction information, is made visible, it becomes easier for local government officials to plan the maintenance of the structure 90. Then, for example, if the structure 90 is maintained according to the plan, maintenance costs will be reduced as a result, and the occurrence of defects in the structure 90 and / or the occurrence of unsafe conditions caused by defects in the structure 90 can be suppressed.

[0069] [Variations in system configuration] Next, with reference to Figure 6, a modified example of the deterioration prediction system 10a of the present invention will be described. Figure 6 is a block diagram showing the configuration of the modified example of the deterioration prediction system 10a of the present invention.

[0070] For example, if the structural management system 50 and the diagnostic system 40 are systems used by the same company, a configuration is conceivable in which the diagnostic system 40 acquires image information from the image management system 30 and outputs the acquired image information and deterioration prediction information to the structural management system 50. The deterioration prediction system 10a shown in Figure 6 corresponds to such a configuration, with the diagnostic system 40 positioned between the image management system 30 and the structural management system 50.

[0071] The deterioration prediction system 10a has the advantage of reducing the amount of communication required to acquire deterioration prediction information compared to the deterioration prediction system 10. In the deterioration prediction system 10a, the image management system 30 may provide image information to both the diagnostic system 40 and the structure management system 50, in which case the process of transmitting image information from the diagnostic system 40 to the structure management system 50 can be omitted.

[0072] [Variations regarding the location information of structure 90] In the above embodiment, it was explained that the positional information of the structure 90 in the still image is measured by the position measurement unit of the information terminal 20. However, it is not essential that the positional information of the structure 90 in the still image is measured by the position measurement unit.

[0073] For example, a map may be displayed on the display unit of the information terminal 20, and the installation location of the structure 90 may be specified by the user plotting points on the displayed map.

[0074] Alternatively, for example, the image management system 30 may provide the information terminal 20 running a dedicated application with a list of pre-registered installation locations (coordinates) of structures 90, and a GUI for selecting installation locations based on the list information may be displayed on the display unit of the information terminal 20. The selection GUI may be, for example, a GUI in which icons are displayed at the installation locations of structures 90 on a map. By selecting an icon, the user can input the installation location of the structure 90 that appears in the captured still image. In this case, since the installation locations of structures 90 are managed in the image management system 30, the information terminal 20 only needs to send identification information of the selected icon to the image management system 30, rather than sending location information.

[0075] [Other variations] In the above embodiment, an example was described in which the generation unit 47 generates deterioration prediction information based on the first information, the second information, and the third information, but the present invention is not limited thereto. For example, the generation unit 47 may generate deterioration prediction information based on the first information and the second information, without using the third information. In this case, the structure management system 50 does not need to generate the third information.

[0076] Furthermore, while the above embodiment describes an example in which a user, such as a citizen, a local government official, or a contracted official, takes a still image showing the state of the structure 90 and transmits the image information of the captured still image to the image management system 30, the present invention is not limited to this. For example, an installer of the structure 90 may take a still image showing the state of the structure 90 after installation and transmit the image information of the captured still image to the image management system 30.

[0077] Furthermore, although the above embodiment described an example in which the third information includes information regarding the installation period from the time the structure 90 was installed to the first time point, the present invention is not limited to this. For example, the third information may include information regarding the deterioration state of the structure 90. The information regarding the deterioration state may be, for example, the area of ​​rusted parts, the color of rusted parts, or the area of ​​parts where the paint has peeled off. In addition, deterioration due to rust of the structure 90 may be predicted based on the first information, second information and third information without using the above formula (1). In this way, even if the installation period from the time the structure 90 was installed to the first time point is unknown, for example, the period from the first time point until at least one of repair and replacement of the structure 90 becomes necessary can be easily output. In other words, based on the degree of deterioration due to rust at the first time point based on the third information and the rate of deterioration based on the first and second information, the period from the first time point until at least one of repair and replacement of the structure 90 becomes necessary can be easily output. Furthermore, the installation period from the time the structure 90 was installed to the first point in time may be estimated based on the inspection or test results. In this case, for example, if the installation period is unknown, the period until at least one of repair and / or replacement becomes necessary can be easily calculated by subtracting the estimated installation period from the service life.

[0078] Furthermore, the third information may include information on the inspection or testing results of the structure 90. Information on the inspection or testing results of the structure 90 is an example of information regarding the deterioration state of the structure 90. The information on the inspection or testing results of the structure 90 is acquired by the third acquisition unit 46, etc., for example, when an inspection worker or test worker inputs it into the information terminal 20.

[0079] Furthermore, although the above embodiment describes an example in which the image management system 30 generates the first and second information and the structure management system 50 generates the third information, the present invention is not limited to this. For example, the structure management system 50 may generate the first and second information. The image management system 30 may also generate the third information. The diagnostic system 40 may generate and acquire the first, second, and third information. The administrator of the structure management system 50 may input the first, second, and third information into the structure management system 50 while checking still images, etc. The user or installation worker may input the first, second, and third information into the information terminal 20. In this case, it is not necessary to take still images showing the state of the structure 90. In other words, if the structure 90 can be identified and at least the first and second information can be acquired, it is possible to predict the deterioration of the structure 90 even without image information.

[0080] Furthermore, in the above embodiment, an example was described in which an image provision request is sent from the structure management system 50 to the image management system 30, and image information, etc., is transmitted from the image management system 30 to the structure management system 50. However, the present invention is not limited to this. For example, when image information is transmitted from the information terminal 20 to the image management system 30, the image information, etc., may be sequentially transmitted from the image management system 30 to the structure management system 50.

[0081] Furthermore, in the above embodiment, it is assumed that a login process is performed when a local government employee accesses the structure management system 50 using the local government system 60. In such a case, the output unit 56 of the structure management system 50 may manage the login ID and the authority information of the employee who has said login ID, and change the scope of provision of structure management information according to the authority of the employee.

[0082] For example, the output unit 56 may output only a portion of the structure management information if it determines that an employee or other person is a user based on the login ID, and may output all of the structure management information if it determines that an employee or other person is a management user based on the login ID. In other words, the output unit 56 may output structure management information according to the permissions of the user to whom it is output. The permission information associated with the login ID is set when the login ID is issued, etc.

[0083] [Effects, etc.] The following describes examples of inventions that can be obtained from the disclosures in this specification, and explains the effects and other benefits that can be obtained from these examples.

[0084] Invention 1 is a deterioration prediction system 10 comprising: a first acquisition unit 44 that acquires first information about the environment of the area where a long structure 90 that deteriorates due to rust is located; a second acquisition unit 45 that acquires second information about the environment surrounding the structure 90; a generation unit 47 that predicts the deterioration of the structure 90 due to rust and generates deterioration prediction information based on the first and second information; and an output unit 48 that outputs the deterioration prediction information.

[0085] According to this deterioration prediction system 10, it is possible to predict the deterioration of the structure 90 due to rust and output the predicted deterioration information.

[0086] Invention 2 is a deterioration prediction system 10 according to Invention 1, comprising a third acquisition unit 46 that acquires third information relating to the state of the structure 90 at a first point in time, and a generation unit 47 that generates deterioration prediction information based on the first information, second information, and third information.

[0087] According to such a deterioration prediction system 10, deterioration prediction information that takes into account the state of the structure 90 at a first point in time can be output. For example, the deterioration prediction system 10 can output the period from the first point in time until at least one of repair or replacement of the structure 90 becomes necessary.

[0088] Invention 3 is the deterioration prediction system 10 described in Invention 2, wherein the third information includes information regarding the installation period from when the structure 90 is installed to the first point in time.

[0089] According to this deterioration prediction system 10, deterioration prediction information can be output that takes into account the installation period from the time the structure 90 was installed to the first point in time. For example, the deterioration prediction system 10 can easily output the period from the first point in time until at least one of the repair or replacement of the structure 90 becomes necessary.

[0090] Invention 4 is the deterioration prediction system 10 described in Invention 2, wherein the third information includes information regarding the deterioration state of the structure 90.

[0091] According to such a deterioration prediction system 10, deterioration prediction information that takes into account the deterioration state of the structure 90 at a first point in time can be output. For example, the deterioration prediction system 10 can easily output the period from the first point in time until at least one of repair or replacement of the structure 90 becomes necessary.

[0092] Invention 5 is a deterioration prediction system 10 according to any one of Inventions 1 to 4, wherein the deterioration prediction information includes information about the period until at least one of repair and / or replacement of the structure 90 becomes necessary.

[0093] According to this deterioration prediction system 10, it is possible to output the period of time until at least one of the repair or replacement of the structure 90 becomes necessary.

[0094] Invention 6 is a deterioration prediction system 10 according to any one of Inventions 1 to 5, wherein the first information includes information regarding local use.

[0095] The substances and their amounts contained in the atmosphere are influenced by the local use. For example, coastal areas and industrial areas have a high concentration of substances that cause rust in the atmosphere. Therefore, a deterioration prediction system 10 like the one in Invention 6 can accurately predict the deterioration of a structure 90 due to rust.

[0096] Invention 7 is the deterioration prediction system 10 described in Invention 6, wherein the first information includes information on whether the area falls into the category of urban area, rural area, industrial area, or coastal area.

[0097] According to this deterioration prediction system 10, deterioration of the structure 90 due to rust can be easily and accurately predicted.

[0098] Invention 8 is a degradation prediction system 10 according to any one of Inventions 1 to 7, wherein the first information includes information on the local climate.

[0099] The amount of water that causes structure 90 to rust is influenced by the local climate. Therefore, a deterioration prediction system 10 like the one in invention 8 can accurately predict the deterioration of structure 90 due to rust.

[0100] Invention 9 is a deterioration prediction system 10 according to any one of Inventions 1 to 8, wherein the second information includes information regarding the condition of vegetation around the structure 90.

[0101] Plants surrounding the structure 90 are likely to cause rust on the structure 90. For example, if the structure 90 is surrounded by plants (e.g., vegetation), the structure 90 will be in a humid environment, making it more susceptible to rust. Therefore, a deterioration prediction system 10 like the one in invention 9 can accurately predict the deterioration of the structure 90 due to rust.

[0102] Invention 10 is a deterioration prediction system 10 according to Invention 9, wherein the information regarding the state of the plants includes information regarding the presence or absence of plants larger than a predetermined size.

[0103] For example, as plants grow larger, the structure 90 is exposed to a humid environment, making it more susceptible to rusting. Therefore, a deterioration prediction system 10 like the one in invention 10 can predict the deterioration of the structure 90 due to rust with greater accuracy.

[0104] Invention 11 is a deterioration prediction system 10 according to any one of Inventions 1 to 10, wherein the second information includes information relating to the installation surface of the structure 90.

[0105] The mounting surface of the structure 90 is highly influential on the deterioration of the structure 90 due to rust. For example, if the mounting surface is soil, the structure 90 is more prone to rusting. On the other hand, if the mounting surface is concrete, for example, the structure 90 is less prone to rusting. Therefore, a deterioration prediction system 10 such as the one in invention 11 can accurately predict the deterioration of the structure 90 due to rust.

[0106] Invention 12 is a deterioration prediction system 10 according to any one of Inventions 1 to 11, wherein the second information includes information regarding the volume of vehicle (e.g., automobile) traffic around the structure 90.

[0107] Vehicle traffic volume affects the substances (such as exhaust fumes) and their amounts contained in the atmosphere. For example, in areas with heavy vehicle traffic, there is a higher concentration of substances that cause rust in the atmosphere. Therefore, a deterioration prediction system 10, such as the one in Invention 12, can accurately predict the deterioration of a structure 90 due to rust.

[0108] Invention 13 is a deterioration prediction system 10 according to any one of Inventions 1 to 12, wherein the second information includes information regarding the deterioration state due to rust of other structures located around the structure 90.

[0109] For example, the rate of deterioration due to rust in multiple structures under the same environment tends to be similar. Therefore, a deterioration prediction system 10 like the one in invention 13 can accurately predict the deterioration of a structure 90 due to rust.

[0110] Invention 14 is a deterioration prediction system 10 according to any one of Inventions 1 to 13, wherein the second information includes information about dwellings around the structure 90.

[0111] Dog marking is known to be a cause of deterioration of structures 90 due to rust. Therefore, in densely populated areas and areas with many detached houses, there tends to be a large number of pet dogs, making structures 90 more susceptible to deterioration due to rust. Accordingly, a deterioration prediction system 10 such as the one in invention 14 can accurately predict the deterioration of structures 90 due to rust.

[0112] Invention 15 is a computer-based deterioration prediction method, comprising: step S16 of acquiring first information about the environment of the area where a long structure 90 that deteriorates due to rust is located; step S16 of acquiring second information about the environment surrounding the structure 90; step S17 of predicting the deterioration of the structure 90 due to rust based on the first and second information and generating deterioration prediction information; and step S18 of outputting the deterioration prediction information.

[0113] This deterioration prediction method allows for the prediction of deterioration of the structure 90 due to rust and the output of predicted deterioration information.

[0114] Invention 16 is a program that causes a computer to execute the deterioration prediction method described in Invention 15.

[0115] According to such a program, it is possible to predict the deterioration of structure 90 due to rust and output the predicted deterioration information.

[0116] (Other embodiments) Although embodiments and variations have been described above, the present invention is not limited to the embodiments and variations described above.

[0117] For example, in the embodiments described above, a system such as an information processing system is implemented by multiple devices, but it may also be implemented by a single device. Thus, a system in this specification may consist of a single device or it may consist of multiple devices. When a system is implemented by multiple devices, the components of the system may be distributed among the multiple devices in any way.

[0118] Furthermore, in the above embodiments, a process executed by a specific processing unit may be executed by another processing unit. Also, the order of multiple processes may be changed, or multiple processes may be executed in parallel.

[0119] Furthermore, in the above embodiments, each component may be realized by executing a software program suitable for that component. Each component may also be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.

[0120] Furthermore, each component may be implemented by hardware. Each component may also be a circuit (or integrated circuit). These circuits may form a single circuit as a whole, or they may be separate circuits. Also, each of these circuits may be a general-purpose circuit or a dedicated circuit.

[0121] Furthermore, general or specific embodiments of the present invention may be implemented as a system, apparatus, method, integrated circuit, computer program, or recording medium such as a computer-readable CD-ROM. Alternatively, they may be implemented as any combination of a system, apparatus, method, integrated circuit, computer program, and recording medium.

[0122] For example, the present invention may be implemented as a computer system such as a deterioration prediction system, a structural management system, or a local government system as described in the above embodiment. Furthermore, the present invention may be implemented as an information processing method executed by a computer system. The present invention may be implemented as a program for causing a computer system to execute the information processing method, or as a computer-readable, non-temporary recording medium on which such a program is recorded.

[0123] Furthermore, the present invention also includes forms obtained by applying various modifications to the above embodiments and modifications as conceived by those skilled in the art, or forms realized by arbitrarily combining the components and functions of the above embodiments and modifications without departing from the spirit of the present invention. [Explanation of symbols]

[0124] 10, 10a Degradation Prediction System 44 First acquisition part 45 Second acquisition part 46 Third acquisition part 47 Generation part 48 Output section 90 Structures S16 Step (Step to obtain the first information) S16 Step (Step to obtain second information) S17 Step (Step to generate degradation prediction information) S18 Step (Step to output degradation prediction information)

Claims

1. A first acquisition unit that acquires first information regarding the environment of the area where long structures that deteriorate due to rust are located, A second acquisition unit that acquires second information regarding the environment surrounding the aforementioned structure, A generation unit that predicts deterioration due to rust of the structure and generates deterioration prediction information based on the first information and the second information, An output unit that outputs the aforementioned deterioration prediction information, A deterioration prediction system equipped with the following features.

2. The system includes a third acquisition unit that acquires third information relating to the state of the structure at a first point in time, The degradation prediction system according to claim 1, wherein the generation unit generates the degradation prediction information based on the first information, the second information, and the third information.

3. The deterioration prediction system according to claim 2, wherein the third information includes information regarding the installation period from the time the structure is installed to the first time point.

4. The deterioration prediction system according to claim 2, wherein the third information includes information relating to the deterioration state of the structure.

5. The deterioration prediction system according to claim 1, wherein the deterioration prediction information includes information regarding the period until at least one of the repair and / or replacement of the structure becomes necessary.

6. The deterioration prediction system according to any one of claims 1 to 5, wherein the first information includes information relating to the use of the region.

7. The deterioration prediction system according to claim 6, wherein the first information includes information on whether the area falls into the category of urban area, rural area, industrial area, or coastal area.

8. The deterioration prediction system according to any one of claims 1 to 5, wherein the first information includes information regarding the climate of the region.

9. The deterioration prediction system according to any one of claims 1 to 5, wherein the second information includes information regarding the condition of plants surrounding the structure.

10. The deterioration prediction system according to claim 9, wherein the information relating to the state of the plants includes information relating to the presence or absence of plants of a predetermined size or larger.

11. The deterioration prediction system according to any one of claims 1 to 5, wherein the second information includes information relating to the installation surface of the structure.

12. The deterioration prediction system according to any one of claims 1 to 5, wherein the second information includes information regarding the volume of vehicle traffic around the structure.

13. The deterioration prediction system according to any one of claims 1 to 5, wherein the second information includes information regarding the deterioration state due to rust of other structures located around the structure.

14. The deterioration prediction system according to any one of claims 1 to 5, wherein the second information includes information relating to residences in the vicinity of the structure.

15. A computer-based method for predicting degradation, The first step is to obtain information about the environment of the area where long structures that deteriorate due to rust are located, The steps include: acquiring second information regarding the environment surrounding the aforementioned structure; A step of predicting deterioration due to rust of the structure and generating deterioration prediction information based on the first information and the second information, The steps include outputting the aforementioned deterioration prediction information, A method for predicting deterioration, including the following.

16. A program that causes a computer to execute the deterioration prediction method described in claim 15.

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