Infrastructure diagnostic device, infrastructure diagnostic method, and program

Abstract

The present invention efficiently determines a prioritized part in a road infrastructure. An infrastructure diagnostic device 1 comprises a time-series display control unit 2, a reception unit 3, and a location display control unit 4. The time-series display control unit 2 causes a display means to display the infrastructure states of a plurality of locations in a predetermined area in time series. The reception unit 3 receives selection of data from among the time series for the infrastructure states of the plurality of locations. The location display control unit 4 causes the display means to display, on a map, a location corresponding to the selected data.

Description

[Technical Field]

[0001] The present disclosure relates to an infrastructure diagnostic device, an infrastructure diagnostic method, and a recording medium. [Background technology]

[0002] Systems are known that evaluate the condition of road infrastructure (road surfaces, guardrails, signs, streetlights, etc.) by analyzing images and acceleration data collected by moving vehicles.

[0003] For example, Patent Document 1 discloses a road condition management program that determines road conditions and displays a list of changes in road conditions in chronological order for each road management unit. The program in Patent Document 1 assigns display elements such as colors, patterns, figures, symbols, and letters to correspond to various indicators of the determined road conditions, and displays these indicators on roads on a road map for each management unit. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2018-084126 Summary of the Invention [Problem to be solved by the invention]

[0005] Road managers and the like check the rate of deterioration and other factors from the temporal changes in road conditions as described above, and determine road locations that should be prioritized for investigation, repair, and other measures (hereinafter also referred to as priority areas). When attempting to determine priority areas using technology such as that disclosed in Patent Document 1, the managers and the like must repeatedly select management units and refer to the time-series changes in each indicator of road condition for each road management unit. Generally, when there are many roads to be managed or the area is wide, the number of management units becomes enormous. Therefore, determining priority areas through such repetitive work is inefficient.

[0006] An object of the present disclosure is to provide an infrastructure diagnostic device, an infrastructure diagnostic method, and a recording medium that can solve the above-mentioned problems and efficiently determine priority response locations in road infrastructure. [Means for solving the problem]

[0007] An infrastructure diagnostic device according to one aspect of the present disclosure includes a first display control means for causing a display means to display a time series of infrastructure status at multiple locations in a specified area, a reception means for receiving a selection of one of the time series of infrastructure status at the multiple locations, and a second display control means for causing the display means to display a location corresponding to the selected time series on a map.

[0008] An infrastructure diagnosis method in one aspect of the present disclosure displays a time series of infrastructure status at multiple locations in a specified area on a display means, accepts selection of one of the time series of infrastructure status at the multiple locations, and displays the location corresponding to the selected time series on a map on the display means.

[0009] In one aspect of the present disclosure, a recording medium records a program that causes a computer to execute a process that causes a display means to display a time series of infrastructure status at multiple locations in a specified area, accepts a selection of one of the time series of infrastructure status at the multiple locations, and causes the display means to display the location corresponding to the selected time series on a map. [Effects of the Invention]

[0010] An effect of the present disclosure is that priority response locations in road infrastructure can be efficiently determined. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing a configuration of an infrastructure diagnosis system 10 according to a first embodiment. [Figure 2] 2 is a block diagram showing an example of the configuration of an infrastructure diagnostic device 20 in the first embodiment. FIG. [Figure 3] FIG. 4 is a diagram illustrating an example of sensor information in the first embodiment. [Figure 4] FIG. 4 is a diagram showing an example of a detection result of a state of a road infrastructure in the first embodiment. [Figure 5] FIG. 3 is a diagram illustrating an example of a state time series in the first embodiment. [Figure 6] 5 is a flowchart showing a state detection process in the first embodiment. [Figure 7] 10 is a flowchart showing a detection result display process in the first embodiment. [Figure 8] FIG. 2 is a diagram showing an example of a plurality of points (points A to D) in a predetermined area in the first embodiment. [Figure 9] FIG. 10 is a diagram showing an example of a time series selection screen (table format) in the first embodiment. [Figure 10] FIG. 10 is a diagram showing an example of a time series selection screen (graph format) in the first embodiment. [Figure 11] FIG. 3 is a diagram showing an example of a map screen display in the first embodiment. [Figure 12] FIG. 10 is a diagram showing an example of displaying a state time series in a table format in Modification 1 of the first embodiment. [Figure 13] FIG. 10 is a diagram showing an example of displaying a state time series in a graph format in Modification 1 of the first embodiment. [Figure 14] FIG. 10 is a diagram illustrating an example of calculating the rate of change of the index value in the second modification of the first embodiment. [Figure 15] FIG. 11 is a diagram showing an example of displaying a state time series in a graph format in a third modified example of the first embodiment. [Figure 16] FIG. 10 is a block diagram showing a configuration of an infrastructure diagnostic device 1 in a second embodiment. [Figure 17] FIG. 5 is a block diagram showing an example of the hardware configuration of a computer 500. DETAILED DESCRIPTION OF THE INVENTION

[0012] (First embodiment) A first embodiment will be described. (System Configuration) First, the configuration of an infrastructure diagnostic system according to the first embodiment will be described. FIG. 1 is a block diagram showing the configuration of an infrastructure diagnostic system 10 according to the first embodiment. Referring to FIG. 1, the infrastructure diagnostic system 10 includes an infrastructure diagnostic device 20, a display device 30, and a plurality of vehicles 40_1, 40_2, ... 40_N (N is a natural number) (hereinafter collectively referred to as vehicles 40) that are moving objects. The moving objects may be motorcycles, bicycles, drones, robots or vehicles with autonomous driving functions, or people (pedestrians).

[0013] The vehicle 40 acquires predetermined sensor information obtained by a mounted sensor. The sensor information includes an image, acceleration, acquisition date and time, and location. The image is, for example, an image of the road surface captured (acquired) by an imaging device such as a drive recorder camera mounted on the vehicle 40 while the vehicle 40 is traveling along the road. The acceleration is, for example, acquired by an acceleration sensor mounted on the vehicle 40 while the vehicle 40 is traveling along the road, and represents unevenness of the road surface as vertical vibrations. The location is acquired by a position detection sensor such as a Global Positioning System (GPS) when the imaging device captures an image or when the acceleration sensor acquires acceleration. The vehicle 40 transmits sensor information including the image, acceleration, acquisition date and time of this information, and location to the infrastructure diagnosis device 20. For example, latitude and longitude may be used as the location. In addition, in this embodiment, a case where the sensor information includes both an image and acceleration will be described. However, the present invention is not limited to this; it is sufficient if the sensor information includes at least one of an image and acceleration.

[0014] The infrastructure diagnostic device 20 detects the state of road infrastructure at multiple points in a predetermined area based on sensor information transmitted from a vehicle 40. The infrastructure diagnostic device 20 presents time-series changes in the state of road infrastructure at each point to a user of the infrastructure diagnostic device 20 by displaying them on a display device 30. Here, the road infrastructure is, for example, the road surface. The road infrastructure may also be markings such as stop lines and center lines placed on the road surface, equipment such as guardrails and signs installed on the road, or structures such as bridges and tunnels that make up the road. The user is, for example, an employee of the business operator (a manager or worker).

[0015] The infrastructure diagnostic device 20 and the display device 30 are placed, for example, in a business operator's equipment management facility. The infrastructure diagnostic device 20 and the display device 30 may be integrated or separate. The infrastructure diagnostic device 20 may also be placed outside the business operator's equipment management facility. In this case, the infrastructure diagnostic device 20 may be realized by a cloud computing system.

[0016] Methods for detecting the state of road infrastructure based on sensor information use well-known techniques using image analysis and acceleration analysis. Detection using image analysis includes, for example, a method of analyzing the state of road infrastructure using AI (Artificial Intelligence). Detection using acceleration analysis includes, for example, a method of detecting the degree of road surface unevenness using acceleration perpendicular to the road surface.

[0017] Fig. 2 is a block diagram showing an example of the configuration of infrastructure diagnostic device 20 in the first embodiment. As shown in Fig. 2, infrastructure diagnostic device 20 includes a sensor information acquisition unit 21, a sensor information storage unit 22, a state detection unit 23, a detection result storage unit 24, a time-series display control unit 25, a reception unit 26, and a location display control unit 27. Time-series display control unit 25, reception unit 26, and location display control unit 27 are embodiments of a first display control means, a reception means, and a second display control means of the present disclosure, respectively.

[0018] The sensor information acquisition unit 21 acquires sensor information from the vehicle 40. The sensor information acquisition unit 21 outputs the acquired sensor information to the sensor information storage unit 22.

[0019] The sensor information storage unit 22 stores the sensor information output by the sensor information acquisition unit 21.

[0020] FIG. 3 is a diagram showing an example of sensor information in the first embodiment. The example of sensor information shown in FIG. 3 includes date and time, location, image, and acceleration. The date and time indicate the date and time when the vehicle 40 acquired the image and acceleration. The location indicates the location where the image and acceleration were acquired. FIG. 3 shows that the image and acceleration were acquired at different dates and times at the same location. Here, the location (point) may be identified in units of a predetermined range on a map (e.g., a divided area mesh). In this case, locations included in the same predetermined range on the map may be considered the same location. For example, a divided area mesh may be a mesh with a side length of approximately 250 m, or a mesh obtained by dividing this equally vertically and horizontally, with a side length of approximately 125 m. Furthermore, a regional mesh obtained by further dividing the divided area mesh may be a mesh with a side length of approximately 62.5 m or a mesh shorter than that.

[0021] The state detection unit 23 detects the state of the road infrastructure based on at least one of the image and the acceleration included in the sensor information, and calculates the value of an index representing the state. In the first embodiment, the state detection unit 23 detects a deterioration state as the state of the road infrastructure, and calculates the value of an index representing the degree of deterioration.

[0022] When the road infrastructure is a road surface, the index used may be, for example, the crack rate, the amount of rutting, flatness, MCI (Maintenance Control Index), IRI (International Roughness Index), etc. In this case, other indexes that indicate the degree of deterioration of the road surface, such as the size and depth of potholes, may also be used.

[0023] If the road infrastructure is road markings, the index used may be, for example, an index showing the degree of fading of the markings. If the road infrastructure is equipment installed on the road or structures that make up the road, the index used may be, for example, an index showing the degree of rust, damage, or deformation of the equipment or structures.

[0024] In addition, the condition detection unit 23 may detect conditions of road infrastructure other than the state of deterioration, such as the progress of maintenance and construction, the depth and size of puddles, the amount of snow accumulation, the amount of garbage and foreign objects, the size and density of plantations and trees, etc.

[0025] The state detection unit 23 outputs the detection result of the state of the road infrastructure to the detection result storage unit 24.

[0026] Fig. 4 is a diagram showing an example of the detection result of the state of road infrastructure in the first embodiment. The detection result in Fig. 4 is a result detected based on the sensor information in Fig. 3. In the example of Fig. 4, the detection result includes the detection date and time, the detection position, the crack rate, the amount of rutting, the flatness, the IRI value, the MCI value, and the detection source image. Here, the detection date and time, the detection position, and the detection source image are the date and time, the position, and the image, respectively, included in the sensor information from which the state of road infrastructure was detected.

[0027] The detection result storage unit 24 stores, for each detection position, the time series of the detection results of the road infrastructure state output from the state detection unit 23 as a state time series.

[0028] Fig. 5 is a diagram showing an example of a state time series in the first embodiment. The state time series in Fig. 5 is information obtained by rearranging the detection results in Fig. 4 in chronological order for each detection position.

[0029] The time-series display control unit 25 causes the display device 30 to display a time-series of the infrastructure status at each of a plurality of points (detection positions) in a predetermined area.

[0030] The receiving unit 26 receives a selection from the time series of infrastructure conditions at each location displayed on the display device 30.

[0031] The location display control unit 27 causes the display device 30 to display the location corresponding to the selected state time series on a map.

[0032] Next, the operation of the first embodiment will be described.

[0033] (Status detection process) The state detection process will now be described. The state detection process is a process for detecting the state of road infrastructure for each detection position based on sensor information transmitted from each vehicle 40. The state detection process will be described below using the sensor information in Fig. 3, the detection results in Fig. 4, and the state time series in Fig. 5.

[0034] 6 is a flowchart showing a state detection process in the first embodiment. The sensor information acquisition unit 21 of the infrastructure diagnosis device 20 acquires, for example, sensor information (date and time, position, image, and acceleration) transmitted from the vehicle 40 (step S11). For example, the sensor information acquisition unit 21 acquires sensor information such as that shown in FIG. 3. The sensor information acquisition unit 21 stores the acquired sensor information in the sensor information storage unit 22.

[0035] The state detection unit 23 acquires sensor information from the sensor information storage unit 22 and detects the state of the road infrastructure at the position of the sensor information based on the acquired sensor information (step S12). For example, the state detection unit 23 detects the state of the road infrastructure based on the sensor information at the position "L001" and the date and time "TD001" in Fig. 3. In this case, the state detection unit 23 obtains, as the detection result, the values ​​of each index of the state of the road infrastructure shown at the detected position "L001" and the detected date and time "TD001" in Fig. 4.

[0036] The state detection unit 23 stores the detection results in time series for each detection position in the detection result storage unit 24 (step S13). For example, the state detection unit 23 stores the detection results shown in Fig. 4 in the detection result storage unit 24 as the state time series shown in Fig. 5.

[0037] Thereafter, the process is repeated from step S11.

[0038] (Detection result display processing) The detection result display process will be explained. The detection result display process is a process for displaying the detection results of the road infrastructure state in accordance with the user's selection of the state time series. The detection result display process will be explained below using the state time series in Figure 5.

[0039] FIG. 7 is a flowchart showing the detection result display process in the first embodiment. The time series display control unit 25 acquires a state time series of each point in a predetermined area from the detection result storage unit 24 (step S21). FIG. 8 is a diagram showing an example of multiple points (points A to D) in a predetermined area in the first embodiment. The points A to D shown in FIG. 8 correspond to the detection positions "L001" to "L004" in FIG. 5, respectively. For example, the time series display control unit 25 acquires, from the detection result storage unit 24, the state time series of the detection positions "L001" to "L004" in FIG. 5, which correspond to the points A to D in FIG. 8. Here, the predetermined area may be a section (mesh) in which a region is divided into sections of a predetermined length, or an area selected by the user on a map using an operating device such as a mouse.

[0040] The time series display control unit 25 displays the acquired status time series on the display device 30 in a predetermined display format (step S22). Here, the time series display control unit 25 displays the time series of a specific index in the status time series of each location. The specific index may be specified in advance or may be selected by the user. The time series display control unit 25 displays a time series selection screen that shows the status time series of multiple locations (time series of a specific index) in a table format or a graph format.

[0041] FIG. 9 is a diagram showing an example of a time-series selection screen (tabular format) in the first embodiment. In the example of FIG. 9, for points A to D in FIG. 8, the time series of the degradation states (MCI values) at times T1 to T4 is shown in tabular format. Here, the degradation state for each of times T1 to T4 in FIG. 9 may be the degradation state in the time period from that time to the next time (for example, if it is T1, T1 ≤ time < T2). In this case, the degradation state for each time period may be a statistical value such as the average value or the maximum value of the degradation state in that time period. For the size of the time period, a predetermined period such as 1 day, 1 week, 1 month, 1 year, etc. is used.

[0042] FIG. 10 is a diagram showing an example of a time-series selection screen (graphical format) in the first embodiment. In the example of FIG. 10, for points A to D in FIG. 8, the time series of the degradation states (crack ratio) at times T1 to T4 is shown in graphical format.

[0043] The reception unit 26 receives a selection by the user of any one of the state time series in the state time series displayed in a predetermined display mode (step S23). When the state time series is displayed in tabular format as shown in FIG. 9, the reception unit 26 receives the selection of the state time series, for example, when the user clicks on a row. Also, when the state time series is displayed in graphical format as shown in FIG. 10, the reception unit 26 receives the selection of the state time series, for example, when the user clicks on a curve.

[0044] For example, the reception unit 26 receives the selection by the user of the state time series of point A in the display of the state time series in FIGS. 9 and 10.

[0045] The point display control unit 27 causes the display device 30 to display on a map the point (position) corresponding to the status time series selected by the user (step S24). FIG. 11 is a diagram showing an example of a map screen display in the first embodiment. FIG. 11 is an example of a map screen when the time series of point A is selected on the time series selection screen (graph format) of FIG. 10. In the example of FIG. 11, point A corresponding to the status time series selected by the user is shown on the map. Furthermore, the status time series (time series of the deterioration status (crack rate)) at point A and detailed information are displayed. As the detailed information, the values ​​of each index at the time (detection date and time) selected on the status time series and the detection source image obtained from the detection result are displayed. Furthermore, on the screen shown in FIG. 11, by clicking a radio button for selecting an index, the content of the status time series and the detailed information may be changed to the content of the index selected by the radio button.

[0046] This completes the operation of the first embodiment.

[0047] (Modification 1 of the first embodiment) In the above description of the first embodiment, the status time series of each point in a predetermined area is displayed and the user is allowed to select. If the number of points in the predetermined area is large, the user will have difficulty selecting from the displayed status time series. Therefore, it is also possible to display, among the status time series of each point, the status time series in which the value of an index representing the status of road infrastructure satisfies a predetermined condition.

[0048] In this case, the time series display control unit 25 displays, in a predetermined display mode, on the display device 30, the status time series of each point in a predetermined area, acquired from the detection result storage unit 24, in which the value of the index representing the state of the road infrastructure satisfies a predetermined condition. For example, the predetermined condition may be "the value of the index representing the deterioration state is equal to or greater than a predetermined threshold value at any point in time or at a predetermined point in time, such as the latest point in time."

[0049] 12 is a diagram showing an example of displaying a state time series in a tabular format in Modification 1 of the first embodiment. For example, assume that the state time series of FIG. 12 is obtained from the detection result storage unit 24 and the threshold value of the MCI value is "3.5." In this case, the time series display control unit 25 displays the state time series of points A to C that include MCI values ​​equal to or greater than the threshold value of "3.5," as shown on the time series selection screen of FIG.

[0050] Fig. 13 is a diagram showing an example of displaying a status time series in a graph format in Modification 1 of the first embodiment. For example, assume that the status time series in Fig. 13 is obtained from the detection result storage unit 24, and the crack rate threshold value is the value shown by the thick line. In this case, the time series display control unit 25 displays the status time series of points A to C, which include crack rates equal to or greater than the threshold value (thick line), as shown on the time series selection screen in Fig. 13.

[0051] As a result, in the first modification of the first embodiment, even when there are a large number of points, priority response locations can be determined efficiently.

[0052] (Modification 2 of the first embodiment) In the first modification of the first embodiment, a status time series in which the value of an index representing the state of road infrastructure satisfies a predetermined condition is displayed. However, the present invention is not limited to this, and a status time series in which the change in the value of an index representing the state of road infrastructure satisfies a predetermined condition may be displayed. In this case, the predetermined condition may be, for example, "the rate of change in the value of an index representing the deterioration state over a predetermined period is equal to or greater than a predetermined threshold value."

[0053] FIG. 14 is a diagram showing an example of calculating the rate of change of index values ​​in Modification 2 of the first embodiment. For example, suppose that a state time series similar to that in FIG. 12 is obtained from the detection result storage unit 24. Also, suppose that the threshold for the rate of change of MCI values ​​for the most recent three time periods is "20%." In this case, the time series display control unit 25 calculates the rate of change of MCI values ​​for each state time series as shown in FIG. 14. Then, the time series display control unit 25 displays the state time series for points A to C that show a rate of change equal to or greater than the threshold "20%" in the same manner as the time series selection screen of FIG. 12.

[0054] As a result, even in the second modification of the first embodiment, priority response locations can be determined efficiently even when there are a large number of locations.

[0055] (Modification 3 of the first embodiment) In the above description of the first embodiment, the receiving unit 26 receives a selection of a state time series. In addition to the state time series, the receiving unit 26 may also receive a selection of a time point in the state time series. In this case, the point display control unit 27 may display detailed information about the deterioration state at the selected time point in the selected state time series.

[0056] FIG. 15 is a diagram showing an example of displaying a state time series in a graph format in the third modification of the first embodiment.

[0057] The receiving unit 26 receives the selection of a state time series and a time point, for example, when the user clicks on a time point on the curve in the graph of the state time series in Fig. 15. For example, in Fig. 15, the receiving unit 26 receives the selection of the state time series of point A and time T1 by the user.

[0058] The point display control unit 27 causes the display device 30 to display on a map a point (position) corresponding to the state time series selected by the user. At that time, the point display control unit 27 causes the display device 30 to display detailed information about the selected time as detailed information about the deterioration state at that point. For example, the point display control unit 27 causes the detection source image corresponding to the detection date and time (time T1) of the point (point A) to be displayed as an "image of the selected point," as in FIG. 11 .

[0059] As a result, in the third variant of the first embodiment, it is possible to transition directly from the detection result time series to a screen that acquires detailed information about the time point at which confirmation is required, thereby more efficiently determining the priority areas to be addressed.

[0060] (Fourth modification of the first embodiment) In the above description of the first embodiment, the state detection unit 23 stores the detection results for each detection position as a state time series in the detection result storage unit 24. However, the state detection unit 23 may store the detection results in the detection result storage unit 24 without rearranging them in chronological order. In this case, the time series display control unit 25 may acquire the detection results for each detection position from the detection result storage unit 24 and rearrange them to generate a state time series.

[0061] (Effects of the first embodiment) According to the first embodiment, priority locations in road infrastructure can be efficiently determined because the time series display control unit 25 of the infrastructure diagnosis device 20 causes the display device 30 to display a time series of infrastructure conditions at multiple locations in a predetermined area, the reception unit 26 receives a selection of one of the time series of infrastructure conditions at the multiple locations, and the location display control unit 27 causes the display device 30 to display the location corresponding to the selected time series on a map. (Second embodiment) A second embodiment will be described.

[0062] 16 is a block diagram showing the configuration of an infrastructure diagnostic device 1 in the second embodiment. The infrastructure diagnostic device 1 includes a time series display control unit 2, a reception unit 3, and a location display control unit 4. The time series display control unit 2, the reception unit 3, and the location display control unit 4 are embodiments of the first display control means, the reception unit, and the second display control means of the present disclosure, respectively. Furthermore, the time series display control unit 2, the reception unit 3, and the location display control unit 4 correspond to the time series display control unit 25, the reception unit 26, and the location display control unit 27 of the first embodiment, respectively.

[0063] The time series display control unit 2 causes the display means to display a time series of infrastructure conditions at multiple locations in a predetermined area. The reception unit 3 receives a selection of one of the time series of infrastructure conditions at the multiple locations. The location display control unit 4 causes the display means to display the location corresponding to the selected time series on a map.

[0064] (Effects of the second embodiment) According to the second embodiment, it is possible to efficiently determine priority locations in road infrastructure because the time series display control unit 2 of the infrastructure diagnosis device 1 causes the display means to display a time series of the infrastructure status of multiple locations in a predetermined area, the reception unit 3 receives a selection of one of the time series of the infrastructure status of the multiple locations, and the location display control unit 4 causes the display means to display the location corresponding to the selected time series on a map.

[0065] (Hardware configuration) In each of the above-described embodiments, each component of the infrastructure diagnostic device 1, 20 represents a functional block. Some or all of the components of each device may be realized by any combination of a computer 500 and a program. This program may be recorded on a non-volatile recording medium. Examples of non-volatile recording media include a CD-ROM (Compact Disc Read Only Memory), a DVD (Digital Versatile Disc), and an SSD (Solid State Drive).

[0066] Fig. 17 is a block diagram showing an example of the hardware configuration of a computer 500. Referring to Fig. 17, the computer 500 includes, for example, a CPU (Central Processing Unit) 501, a ROM (Read Only Memory) 502, a RAM (Random Access Memory) 503, a program 504, a storage device 505, a drive device 507, a communication interface 508, an input device 509, an output device 510, an input / output interface 511, and a bus 512.

[0067] The program 504 includes instructions for realizing each function of each device. The program 504 is stored in advance in the ROM 502, RAM 503, or storage device 505. The CPU 501 executes the instructions included in the program 504 to realize each function of each device. For example, the CPU 501 of the infrastructure diagnosis device 20 executes the instructions included in the program 504 to realize the functions of the sensor information acquisition unit 21, the status detection unit 23, the time-series display control units 2 and 25, the reception units 3 and 26, and the point display control units 4 and 27. The RAM 503 may also store data processed in each function of each device. For example, the RAM 503 of the infrastructure diagnosis device 20 may store data (sensor information) from the sensor information storage unit 22, data (detection results, status time series) from the detection result storage unit 24, etc.

[0068] The drive device 507 reads and writes data from and to the recording medium 506. The communication interface 508 provides an interface with a communication network. The input device 509 is, for example, a mouse or a keyboard, and receives information input from an operator or the like. The output device 510 is, for example, a display, and outputs (displays) information to an operator or the like. The input / output interface 511 provides an interface with peripheral devices. The bus 512 connects these hardware components. The program 504 may be supplied to the CPU 501 via a communication network, or may be stored in advance on the recording medium 506, read by the drive device 507, and supplied to the CPU 501.

[0069] It should be noted that the hardware configuration shown in FIG. 17 is an example, and other components may be added, or some components may not be included.

[0070] There are various variations in the method of realizing each device. For example, each device may be realized by any combination of a different computer and a program for each component. Furthermore, multiple components of each device may be realized by any combination of a single computer and a program.

[0071] Furthermore, some or all of the components of each device may be realized by general-purpose or dedicated circuits including a processor, etc., or a combination of these. These circuits may be configured by a single chip, or may be configured by multiple chips connected via a bus. Some or all of the components of each device may be realized by a combination of the above-mentioned circuits, etc., and a program.

[0072] Furthermore, when some or all of the components of each device are realized by a plurality of computers, circuits, etc., the plurality of computers, circuits, etc. may be centrally located or distributed.

[0073] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, the configurations in the respective embodiments can be combined with each other without departing from the scope of the present disclosure. [Explanation of symbols]

[0074] 10 Infrastructure diagnostic system 1, 20 Infrastructure diagnostic equipment 2, 25 Time series display control section 3, 26 Reception 4, 27 Location display control unit 21 Sensor information acquisition unit 22 Sensor information storage unit 23 Status detection unit 24 Detection result storage unit 500 computers 501 CPU 502 ROM 503 RAM 504 Program 505 Storage device 506 Recording Media 507 Drive Device 508 Communication Interface 509 Input Device 510 Output Device 511 Input / Output Interface 512 Bus

Claims

1. a first display control means for causing a display means to display a time series of infrastructure conditions at a plurality of points in a predetermined area; a receiving means for receiving a selection of any one of the time series of infrastructure statuses at the plurality of locations; a second display control means for causing the display means to display the position of a point corresponding to the selected time series on a map representing the predetermined area; Equipped with the first display control means causes the display means to display a table showing a time series of infrastructure conditions at the plurality of points; the accepting means accepts a selection of any one of the time series of infrastructure states at the plurality of locations in a format of accepting a selection of a row in the table; Infrastructure diagnostic equipment.

2. a first display control means for causing a display means to display a time series of infrastructure conditions at a plurality of points in a predetermined area; a receiving means for receiving a selection of any one of the time series of infrastructure statuses at the plurality of locations; a second display control means for causing the display means to display the position of a point corresponding to the selected time series on a map representing the predetermined area; Equipped with the first display control means causes the display means to display a graph in which a time series of infrastructure conditions at the plurality of points is represented by a plurality of curves; the accepting means accepts a selection of any one of the time series of infrastructure conditions at the plurality of points in a format of accepting a selection of any one of the plurality of curves; Infrastructure diagnostic equipment.

3. the second display control means further displays detailed information about the infrastructure status in the selected time series. The infrastructure diagnostic device according to claim 1 or 2.

4. the receiving means receives a selection of one of the time series of the infrastructure statuses of the plurality of locations and a time point in the time series; the second display control means displays detailed information about the infrastructure status at the selected time point in the selected time series. The infrastructure diagnostic device according to any one of claims 1 to 3.

5. The detailed information is at least one of a value of an index representing the infrastructure state and an image used when calculating the value of the index. The infrastructure diagnostic device according to claim 3 or 4.

6. the first display control means displays a time series of the infrastructure status of a point among the plurality of points where a value of an index representing the infrastructure status satisfies a predetermined condition; The infrastructure diagnostic device according to any one of claims 1 to 5.

7. The computer displaying a time series of infrastructure conditions at a plurality of points in a predetermined area on a display means; Accepting a selection of any one of the time series of infrastructure statuses at the plurality of locations; displaying, on the map representing the predetermined area, the position of a point corresponding to the selected time series on the display means; In the time series display of the infrastructure status at the plurality of locations, a table showing the time series of the infrastructure status at the plurality of locations is displayed on the display means; In the receiving, a selection of any one of the time series of infrastructure states at the plurality of locations is received in a format of receiving a selection of a row in the table. Infrastructure diagnostic methods.

8. The computer displaying a time series of infrastructure conditions at a plurality of points in a predetermined area on a display means; Accepting a selection of any one of the time series of infrastructure statuses at the plurality of locations; displaying, on the map representing the predetermined area, the position of a point corresponding to the selected time series on the display means; In displaying the time series of the infrastructure conditions at the plurality of locations, a graph in which the time series of the infrastructure conditions at the plurality of locations are represented by a plurality of curves is displayed on the display means; In the accepting step, a selection of any one of the time series of infrastructure conditions at the plurality of points is accepted in a format of accepting a selection of any one of the plurality of curves. Infrastructure diagnostic methods.

9. On the computer, displaying a time series of infrastructure conditions at a plurality of points in a predetermined area on a display means; Accepting a selection of any one of the time series of infrastructure statuses at the plurality of locations; displaying, on the map representing the predetermined area, the position of a point corresponding to the selected time series on the display means; In the time series display of the infrastructure status at the plurality of locations, a table showing the time series of the infrastructure status at the plurality of locations is displayed on the display means; In the receiving, a selection of any one of the time series of infrastructure states at the plurality of locations is received in a format of receiving a selection of a row in the table. A program that executes a process.

10. On the computer, displaying a time series of infrastructure conditions at a plurality of points in a predetermined area on a display means; Accepting a selection of any one of the time series of infrastructure statuses at the plurality of locations; displaying, on the map representing the predetermined area, the position of a point corresponding to the selected time series on the display means; In displaying the time series of the infrastructure conditions at the plurality of locations, a graph in which the time series of the infrastructure conditions at the plurality of locations are represented by a plurality of curves is displayed on the display means; In the accepting step, a selection of any one of the time series of infrastructure conditions at the plurality of points is accepted in a format of accepting a selection of any one of the plurality of curves. A program that executes a process.

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