WO2022201444A1 - インフラ診断装置、インフラ診断方法、及び、記録媒体 - Google Patents
インフラ診断装置、インフラ診断方法、及び、記録媒体 Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 claims description 22
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- 230000006866 deterioration Effects 0.000 description 16
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- 238000004458 analytical method Methods 0.000 description 2
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- 238000004364 calculation method Methods 0.000 description 2
- 238000010191 image analysis Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
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- 238000010276 construction Methods 0.000 description 1
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- 238000005562 fading Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
Definitions
- the present disclosure relates to an infrastructure diagnostic device, an infrastructure diagnostic method, and a recording medium.
- a system evaluates the state of road infrastructure (road surfaces, guardrails, signs, streetlights, etc.) by analyzing images and acceleration collected by running vehicles.
- 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 of Patent Document 1 assigns display elements such as colors, patterns, figures, symbols, characters, etc., to correspond to various indicators of road conditions to be determined, and these indicators are managed units on roads on the road map. displayed for each
- Road administrators, etc. confirm the speed of deterioration, etc. based on changes in road conditions over time, as described above, and identify road locations that should be prioritized for investigation and repair (hereinafter referred to as priority response locations). described).
- priority response locations road locations that should be prioritized for investigation and repair.
- a manager or the like when an attempt is made to determine a priority response location using a technique such as that disclosed in Patent Document 1, a manager or the like must select a management unit and refer to time-series changes in each index of road conditions in the road management unit. must be repeated.
- the number of management units becomes enormous. For this reason, it is inefficient to determine the priority correspondence location by such repetitive work.
- One of the purposes of the present disclosure is to solve the above-mentioned problems and to provide an infrastructure diagnostic device, an infrastructure diagnostic method, and a recording medium that can efficiently determine priority response locations in road infrastructure.
- the infrastructure diagnosis device includes any one of first display control means for displaying a time series of infrastructure statuses at a plurality of points in a predetermined area on a display means, and time series of infrastructure statuses at the plurality of points. and second display control means for causing the display means to display the points corresponding to the selected time series on a map.
- An infrastructure diagnosis method causes a display unit to display a time series of infrastructure states at a plurality of points in a predetermined area, accepts selection of one of the time series of the infrastructure states at the plurality of points, and The display means is caused to display the points corresponding to the selected time series on the map.
- a recording medium causes a computer to display a time series of infrastructure conditions at a plurality of points in a predetermined area on a display means, and accepts selection of one of the time series of the infrastructure conditions at the plurality of points. and recording a program for causing the display means to display the points corresponding to the selected time series on a map.
- the effect of this disclosure is that it is possible to efficiently determine priority areas in road infrastructure.
- FIG. 1 is a block diagram showing the configuration of an infrastructure diagnosis system 10 in the first embodiment
- FIG. 2 is a block diagram showing an example of the configuration of an infrastructure diagnosis device 20 in the first embodiment
- FIG. It is a figure which shows the example of sensor information in 1st Embodiment.
- FIG. 5 is a diagram showing an example of detection results of the state of road infrastructure in the first embodiment
- FIG. 4 is a diagram showing an example of a state time series in the first embodiment
- FIG. 4 is a flowchart showing state detection processing in the first embodiment
- 6 is a flowchart showing detection result display processing in the first embodiment.
- FIG. 4 is a diagram showing an example of multiple points (points A to D) in a predetermined area in the first embodiment
- FIG. 10 is a diagram showing an example of a time-series selection screen (table format) in the first embodiment
- FIG. 10 is a diagram showing an example of a time-series selection screen (graph format) in the first embodiment
- FIG. 4 is a diagram showing a display example of a map screen in the first embodiment
- FIG. 11 is a diagram showing a display example of state time series in tabular form in modification 1 of the first embodiment
- FIG. 11 is a diagram showing a display example of a state time series in a graph format in Modification 1 of the first embodiment
- FIG. 11 is a diagram showing an example of calculation of a change rate of an index value in modification 2 of the first embodiment
- FIG. 11 is a diagram showing a display example of a state time series in a graph format in modification 3 of the first embodiment;
- FIG. 11 is a block diagram showing the configuration of an infrastructure diagnosis device 1 in a second embodiment;
- FIG. 5 is a block diagram showing an example of the hardware configuration of computer 500.
- FIG. 1 is a block diagram showing the configuration of an infrastructure diagnosis system 10 according to the first embodiment.
- the infrastructure diagnosis system 10 includes an infrastructure diagnosis device 20, a display device 30, and a plurality of vehicles 40_1, 40_2, . Also described).
- a mobile object may be a motorcycle, a bicycle, a drone, a robot or vehicle with an automatic driving function, or a person (pedestrian).
- the vehicle 40 acquires predetermined sensor information acquired by the mounted sensors.
- the sensor information includes an image, acceleration, date and time of acquisition, position, and the like.
- the image is, for example, an image of the road surface captured (obtained) by an imaging device such as a drive recorder camera mounted on the vehicle 40 while driving on the road. Acceleration is obtained while traveling on a road by an acceleration sensor mounted on the vehicle 40, for example, and expresses unevenness of the road surface as vibration in the vertical direction.
- the position is acquired by a position detection sensor such as GPS (Global Positioning System) when an image is captured by an imaging device or acceleration is acquired by an acceleration sensor.
- the vehicle 40 transmits to the infrastructure diagnostic device 20 sensor information including an image, acceleration, acquisition date and time of these information, and position. For example, latitude and longitude may be used as the position. Also, in the present embodiment, a case where both an image and an acceleration are included in the sensor information will be described.
- the infrastructure diagnosis device 20 detects the state of road infrastructure at multiple points in a predetermined area based on sensor information transmitted from the vehicle 40 .
- the infrastructure diagnostic device 20 presents to the user of the infrastructure diagnostic device 20 by causing the display device 30 to display the time-series changes in the state of the road infrastructure at each point.
- road infrastructure is, for example, the surface of a road.
- the road infrastructure may also be signs such as stop lines and center lines placed on road surfaces, facilities such as guardrails and signs installed on roads, and structures such as bridges and tunnels that constitute roads.
- the user is, for example, a staff member (administrator or worker) of the business.
- the infrastructure diagnosis device 20 and the display device 30 are arranged, for example, in the equipment management facility of the operator.
- the infrastructure diagnostic device 20 and the display device 30 may be integrated or separated.
- the infrastructure diagnosis device 20 may be placed outside the equipment management facility of the business operator.
- the infrastructure diagnostic device 20 may be realized by a cloud computing system.
- 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 unevenness of a road surface using acceleration in a direction perpendicular to the road surface.
- FIG. 2 is a block diagram showing an example of the configuration of the infrastructure diagnosis device 20 in the first embodiment.
- the infrastructure diagnosis 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 point A display control unit 27 is included.
- the time-series display control unit 25, reception unit 26, and location display control unit 27 are an embodiment of first display control means, reception means, and second display control means, respectively, of the present disclosure.
- 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 .
- the sensor information storage unit 22 stores the sensor information output by the sensor information acquisition unit 21.
- 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, position, image, and acceleration.
- the date and time indicates the date and time when the vehicle 40 acquired the image and the acceleration.
- Position indicates the position at which the image and acceleration are acquired.
- FIG. 3 shows that images and accelerations are acquired at the same position on different dates and times.
- the position (point) may be identified in units of a predetermined range (for example, divided area mesh) on the map. In that case, positions included in the same predetermined range on the map may be the same position.
- a mesh with a side length of about 250 m or a mesh with a side length of about 125 m obtained by dividing this into two equal parts vertically and horizontally may be used as the divided area mesh.
- regional meshes obtained by further subdividing the divided regional meshes for example, a mesh having a side length of about 62.5 m or a mesh shorter than that may be used.
- the state detection unit 23 detects the state of the road infrastructure based on at least one of the image and acceleration included in the sensor information, and calculates the index value 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 an index value indicating the degree of deterioration.
- the indices used are, for example, the crack rate, rutting amount, flatness, MCI (Maintenance Control Index), IRI (International Roughness Index), etc. Also, in this case, other indicators that indicate the degree of deterioration of the road surface, such as the size and depth of the potholes, may be used as the indicators.
- an index that indicates the degree of fading of the markings is used as an index.
- the road infrastructure is facilities installed on the road or structures that constitute the road, indicators that indicate the degree of rust, damage, or deformation of the facilities or structures, for example, are used.
- the state detection unit 23 detects the state of road infrastructure, such as the state of progress of maintenance and construction, the depth and size of puddles, the amount of snow, the amount of garbage and foreign objects, the size and thickness of plants and trees, and the state of deterioration. Other states may be detected.
- the state detection unit 23 outputs the detection result of the road infrastructure state to the detection result storage unit 24 .
- FIG. 4 is a diagram showing an example of detection results of road infrastructure states in the first embodiment.
- the detection results in FIG. 4 are the results detected based on the sensor information in FIG.
- the detection result includes detection date and time, detection position, crack rate, rutting amount, flatness, IRI value, MCI value, and detection source image.
- the date and time of detection, the position of detection, and the detection source image are respectively the date and time, the position, and the image included in the sensor information that detected the state of the road infrastructure.
- the detection result storage unit 24 stores the time series of the detection results of the state of the road infrastructure output from the state detection unit 23 for each detection position as a state time series.
- 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.
- the time-series display control unit 25 causes the display device 30 to display the status time-series of the infrastructure status of each of the plurality of points (detection positions) in the predetermined area.
- the reception unit 26 receives a selection from the time series of the infrastructure status of each location displayed on the display device 30 .
- the point display control unit 27 causes the display device 30 to display the points corresponding to the selected state time series on the map.
- the state detection process is a process of detecting the state of road infrastructure for each detection position based on sensor information transmitted from each vehicle 40 .
- the state detection processing will be described below using the sensor information in FIG. 3, the detection results in FIG. 4, and the state time series in FIG.
- FIG. 6 is a flowchart showing state detection processing in the first embodiment.
- the sensor information acquisition unit 21 of the infrastructure diagnostic device 20 acquires, for example, sensor information (date and time, position, image, and acceleration) transmitted from the vehicle 40 (step S11).
- the sensor information acquisition unit 21 acquires sensor information as shown in FIG.
- the sensor information acquisition unit 21 causes the sensor information storage unit 22 to store the acquired sensor information.
- the state detection unit 23 acquires the sensor information from the sensor information storage unit 22, and based on the acquired sensor information, detects the state of the road infrastructure at the position of the 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. In this case, the state detection unit 23 obtains the value of each indicator of the road infrastructure state indicated by the detection position “L001” and the detection date and time “TD001” in FIG. 4 as the detection result.
- the state detection unit 23 causes the detection result storage unit 24 to store the detection results in chronological order for each detection position (step S13). For example, the state detection unit 23 causes the detection result storage unit 24 to store the detection results shown in FIG. 4 as the state time series shown in FIG.
- step S11 After that, the process from step S11 is repeated.
- the detection result display process is a process of displaying the detection result of the state of the road infrastructure according to the selection of the state time series by the user.
- the detection result display processing will be described below using the state time series of FIG.
- FIG. 7 is a flowchart showing detection result display processing in the first embodiment.
- the time series display control unit 25 acquires the state time series of each point in the 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. Points A to D shown in FIG. 8 correspond to detection positions “L001” to “L004” in FIG. 5, respectively.
- the time series display control unit 25 acquires the state time series of the detection positions “L001” to “L004” in FIG. 5 corresponding to the points A to D in FIG.
- the predetermined area may be a section (mesh) in which an area is divided by a predetermined length, or an area selected by the user using an operation device such as a mouse on the map.
- the time-series display control unit 25 causes the display device 30 to display the acquired state time-series in a predetermined display mode (step S22).
- the time-series display control unit 25 displays the time-series of a specific index in the state time-series of each point.
- a particular 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 state time-series of a plurality of points (time-series of specific indices) in tabular form or graph form.
- FIG. 9 is a diagram showing an example of a time series selection screen (table format) in the first embodiment.
- the time series of the state of deterioration (MCI value) at times T1 to T4 for points A to D in FIG. 8 is shown in tabular form.
- the state of deterioration for each of the times T1 to T4 in FIG. 9 may be the state of deterioration in the time period from that time to the next time (for example, if T1, T1 ⁇ time ⁇ T2).
- the deterioration state in each time period may be a statistical value such as an average value or maximum value of the deterioration state in that time period.
- a predetermined period such as one day, one week, one month, or one year is used as the size of the time period.
- FIG. 10 is a diagram showing an example of a time-series selection screen (graph format) in the first embodiment.
- the time series of the state of deterioration (crack rate) at times T1 to T4 for points A to D in FIG. 8 is shown in the form of a graph.
- the reception unit 26 receives the user's selection of one of the state time series displayed in the predetermined display mode (step S23).
- the reception unit 26 receives selection of the state time series by the user clicking a row, for example.
- the reception unit 26 receives selection of the state time series by the user clicking a curve, for example.
- the reception unit 26 receives selection of the state time series of the point A by the user in the display of the state time series in FIGS. 9 and 10 .
- FIG. 11 is a diagram showing a display example of a map screen 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.
- a point A corresponding to the state time series selected by the user is shown on the map.
- the state time series time series of deterioration state (crack rate)
- the value of each index at the time (detection date and time) selected on the state time series and the detection source image obtained from the detection result are displayed.
- the content of the state time series and detailed information may be changed to the content of the index selected with the radio button.
- the time-series display control unit 25 obtains from the detection result storage unit 24, among the state time series of each point in the predetermined area, when the value of the index representing the state of the road infrastructure satisfies a predetermined condition.
- the sequence is displayed on the display device 30 in a predetermined display mode.
- the predetermined condition for example, "the value of the index representing the deterioration state is equal to or greater than a predetermined threshold at some point in time or at a predetermined point in time such as the latest point in time" is used.
- FIG. 12 is a diagram showing a display example of a state time series in tabular form in Modification 1 of the first embodiment.
- 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".
- the time-series display control unit 25 displays the state time-series of the points A to C including the MCI value equal to or greater than the threshold "3.5", like the time-series selection screen in FIG.
- FIG. 13 is a diagram showing a display example of the state time series in graph form in Modification 1 of the first embodiment.
- the state time series of FIG. 13 is obtained from the detection result storage unit 24, and the crack rate threshold is the value indicated by the thick line.
- the time-series display control unit 25 displays the state time-series of the points A to C, including the crack rate equal to or higher than the threshold value (bold line), like the time-series selection screen in FIG.
- Modification 1 of the first embodiment it is possible to efficiently determine priority corresponding locations even when there are a large number of locations.
- a state time series is displayed in which the index values representing the state of the road infrastructure satisfy a predetermined condition.
- the present invention is not limited to this, and a state time series may be displayed in which the change in the value of the index representing the state of the road infrastructure satisfies a predetermined condition.
- the predetermined condition for example, "the rate of change in the value of the index representing the deterioration state during a predetermined period is equal to or greater than a predetermined threshold value" is used.
- FIG. 14 is a diagram showing a calculation example of the change rate of the index value in Modification 2 of the first embodiment.
- a state time series similar to that shown in FIG. 12 is obtained from the detection result storage unit 24 .
- the threshold for the rate of change of the MCI value for the three most recent time periods is "20%".
- the time series display control unit 25 calculates the change rate of the MCI value for each state time series as shown in FIG. Then, the time-series display control unit 25 displays the state time-series of the points A to C showing the rate of change equal to or greater than the threshold "20%" in the same manner as the time-series selection screen in FIG.
- the receiving unit 26 has received the selection of the state time series.
- the reception unit 26 may further receive selection of time points in the state time series.
- the point display control unit 27 may display detailed information on the deterioration state at the selected time point in the selected state time series.
- FIG. 15 is a diagram showing a display example of the state time series in the form of a graph in Modification 3 of the first embodiment.
- the receiving unit 26 receives the selection of the state time series and time point by the user clicking on the time point on the curve in the state time series graph of FIG. For example, in FIG. 15, the receiving unit 26 receives the user's selection of the state time series of the point A and the time T1.
- the point display control unit 27 causes the display device 30 to display the points (positions) corresponding to the state time series selected by the user on the map. At that time, the point display control unit 27 displays the detailed information of the selected time as the detailed information of the deterioration state at the point. For example, similarly to FIG. 11, the point display control unit 27 displays the detection source image corresponding to the detection date (time T1) of the point (point A) as the "selected point image".
- the state detection unit 23 causes the detection result storage unit 24 to store the detection results for each detection position as a state time series.
- the state detection unit 23 may store the detection results in the detection result storage unit 24 without rearranging the detection results in chronological order.
- 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 the state time series.
- the time-series display control unit 25 of the infrastructure diagnosis device 20 causes the display device 30 to display the time-series of the infrastructure status of the plurality of points in a predetermined area, and the reception unit 26 displays the time-series of the infrastructure status of the plurality of points.
- the point display control unit 27 receives the selection of one of them and causes the display device 30 to display the point corresponding to the selected time series on the map.
- FIG. 16 is a block diagram showing the configuration of the infrastructure diagnostic device 1 in the second embodiment.
- the infrastructure diagnosis device 1 includes a chronological display control section 2 , a reception section 3 and a point display control section 4 .
- the chronological display control unit 2, the reception unit 3, and the point display control unit 4 are an embodiment of the first display control means, reception means, and second display control means of the present disclosure, respectively.
- the time-series display control unit 2, the reception unit 3, and the location display control unit 4 are the time-series display control unit 25, the reception unit 26, and the location display control unit of the first embodiment, respectively. 27.
- the time-series display control unit 2 causes the display means to display the time-series of infrastructure conditions at multiple points in a predetermined area.
- the accepting unit 3 accepts selection of one of the time series of infrastructure states at a plurality of points.
- the spot display control unit 4 causes the display means to display the spots corresponding to the selected time series on the map.
- the time-series display control unit 2 of the infrastructure diagnostic device 1 causes the display means to display the time-series of the infrastructure status of the plurality of points in a predetermined area, and the reception unit 3 displays the time-series of the infrastructure status of the plurality of points.
- the point display control unit 4 receives the selection of one of them and causes the display means to display the points corresponding to the selected time series on the map.
- each component of the infrastructure diagnostic devices 1 and 20 represents a functional unit block.
- a part or all of each component of each device may be realized by any combination of the computer 500 and a program.
- This program may be recorded in a non-volatile recording medium.
- non-volatile recording media include CD-ROMs (Compact Disc Read Only Memory), DVDs (Digital Versatile Discs), SSDs (Solid State Drives), and the like.
- FIG. 17 is a block diagram showing an example of the hardware configuration of computer 500.
- computer 500 includes, for example, CPU (Central Processing Unit) 501, ROM (Read Only Memory) 502, RAM (Random Access Memory) 503, program 504, storage device 505, drive device 507, communication interface 508 , an input device 509 , an output device 510 , an input/output interface 511 and a bus 512 .
- CPU Central Processing Unit
- ROM Read Only Memory
- RAM Random Access Memory
- 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 and storage device 505 .
- the CPU 501 implements each function of each device by executing instructions included in the program 504 .
- the CPU 501 of the infrastructure diagnosis device 20 executes commands included in the program 504
- the sensor information acquisition unit 21, the state detection unit 23, the time series display control units 2 and 25, the reception units 3 and 26, and the point It implements the functions of the display control units 4 and 27 .
- the RAM 503 may store data processed in each function of each device.
- the RAM 503 of the infrastructure diagnostic device 20 may store data (sensor information) in the sensor information storage unit 22, data in the detection result storage unit 24 (detection results, state time series), and the like.
- the drive device 507 reads from and writes to the recording medium 506 .
- Communication interface 508 provides an interface with a communication network.
- the input device 509 is, for example, a mouse, a keyboard, or the like, and receives input of information 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.
- a bus 512 connects each of these hardware components.
- the program 504 may be supplied to the CPU 501 via a communication network, or may be stored in the recording medium 506 in advance, read by the drive device 507 and supplied to the CPU 501 .
- FIG. 17 is an example, and components other than these may be added, and some components may not be included.
- each device may be implemented by any combination of a computer and a program that are different for each component.
- a plurality of components included in each device may be realized by any combination of a single computer and a program.
- each component of each device may be realized by a general-purpose or dedicated circuit including a processor or the like, or a combination thereof. These circuits may be composed of a single chip, or may be composed of multiple chips connected via a bus. A part or all of each component of each device may be realized by a combination of the above-described circuits and the like and programs.
- each component of each device when a part or all of each component of each device is realized by a plurality of computers, circuits, etc., the plurality of computers, circuits, etc. may be centrally arranged or distributed.
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Abstract
Description
第1の実施形態について説明する。
(システム構成)
はじめに、第1の実施形態における、インフラ診断システムの構成を説明する。図1は、第1の実施形態における、インフラ診断システム10の構成を示すブロック図である。図1を参照すると、インフラ診断システム10は、インフラ診断装置20、表示装置30、及び、移動体である、複数の車両40_1、40_2、…40_N(Nは自然数)(以下、まとめて、車両40とも記載)を含む。移動体は、自動二輪車や自転車、ドローン、自動運転機能の付いたロボットまたは車両、人(歩行者)でもよい。
状態検出処理について説明する。状態検出処理は、各車両40から送信されるセンサ情報に基づき、道路インフラの状態を、検出位置ごとに、検出する処理である。以下、図3のセンサ情報と、図4の検出結果と、図5の状態時系列と、を用いて、状態検出処理について説明する。
検出結果表示処理について説明する。検出結果表示処理は、ユーザによる状態時系列の選択に応じて、道路インフラの状態の検出結果を表示させる処理である。以下、図5の状態時系列を用いて、検出結果表示処理について説明する。
上述の第1の実施形態の説明では、所定のエリアにおける各地点の状態時系列を表示させ、ユーザに選択させた。所定のエリアの地点の数が多い場合、状態時系列が多数表示されるためユーザによる選択が困難となる。そこで、各地点の状態時系列のうち、道路インフラの状態を表す指標の値が所定の条件を満たす状態時系列を表示させてもよい。
第1の実施形態の変形例1では、道路インフラの状態を表す指標の値が所定の条件を満たす状態時系列を表示させた。これに限らず、道路インフラの状態を表す指標の値の変化が所定の条件を満たす状態時系列を表示させてもよい。この場合、所定の条件として、例えば、「劣化状態を表す指標の値の所定の期間の変化率が、所定の閾値以上である」等が用いられる。
上述の第1の実施形態の説明では、受付部26は、状態時系列の選択を受け付けた。受付部26は、状態時系列に加えて、さらに、該状態時系列における時点の選択を受け付けてもよい。この場合、地点表示制御部27は、選択された状態時系列における選択された時点の劣化状態の詳細情報を表示させてもよい。
上述の第1の実施形態の説明では、状態検出部23が、検出位置ごとの検出結果を状態時系列として、検出結果記憶部24に記憶させた。これに限らず、状態検出部23は、検出結果を時系列に並べ替えずに、検出結果記憶部24に記憶させてもよい。この場合、時系列表示制御部25が検出結果記憶部24から検出位置ごとの検出結果を取得して並べ替え、状態時系列を生成してもよい。
第1の実施形態によれば、道路インフラにおける優先対応箇所を効率的に決めることができる。その理由は、インフラ診断装置20の時系列表示制御部25が、所定のエリアにおける複数地点のインフラ状態の時系列を表示装置30に表示させ、受付部26が、複数地点のインフラ状態の時系列のうちのいずれかの選択を受け付け、地点表示制御部27が、選択された時系列に対応する地点を地図上で表示装置30に表示させるためである。
(第2の実施形態)
第2の実施形態について説明する。
第2の実施形態によれば、道路インフラにおける優先対応箇所を効率的に決めることができる。その理由は、インフラ診断装置1の時系列表示制御部2が、所定のエリアにおける複数地点のインフラ状態の時系列を表示手段に表示させ、受付部3が、複数地点のインフラ状態の時系列のうちのいずれかの選択を受け付け、地点表示制御部4が、選択された時系列に対応する地点を地図上で表示手段に表示させるためである。
上述した各実施形態において、インフラ診断装置1、20の各構成要素は、機能単位のブロックを示している。各装置の各構成要素の一部又は全部は、コンピュータ500とプログラムとの任意の組み合わせにより実現されてもよい。このプログラムは、不揮発性記録媒体に記録されていてもよい。不揮発性記録媒体は、例えば、CD-ROM(Compact Disc Read Only Memory)やDVD(Digital Versatile Disc)、SSD(Solid State Drive)、等である。
1、20 インフラ診断装置
2、25 時系列表示制御部
3、26 受付部
4、27 地点表示制御部
21 センサ情報取得部
22 センサ情報記憶部
23 状態検出部
24 検出結果記憶部
500 コンピュータ
501 CPU
502 ROM
503 RAM
504 プログラム
505 記憶装置
506 記録媒体
507 ドライブ装置
508 通信インタフェース
509 入力装置
510 出力装置
511 入出力インタフェース
512 バス
Claims (8)
- 所定のエリアにおける複数地点のインフラ状態の時系列を表示手段に表示させる第1の表示制御手段と、
前記複数地点のインフラ状態の時系列のうちのいずれかの選択を受け付ける受付手段と、
前記選択された時系列に対応する地点を地図上で前記表示手段に表示させる第2の表示制御手段と、
を備える、
インフラ診断装置。 - 前記第2の表示制御手段は、さらに、前記選択された前記インフラ状態の詳細情報を表示させる、
請求項1に記載のインフラ診断装置。 - 前記受付手段は、前記複数地点の前記インフラ状態の時系列のうちのいずれかと当該時系列における時点との選択を受け付け、
前記第2の表示制御手段は、前記選択された時系列における前記選択された時点の前記インフラ状態の詳細情報を表示させる、
請求項1または2に記載のインフラ診断装置。 - 前記詳細情報は、前記インフラ状態を表す指標の値、及び、前記指標の値の算出時に使用した画像のうちの少なくとも一方である、
請求項2または3に記載のインフラ診断装置。 - 前記第1の表示制御手段は、前記複数地点のうち、前記インフラ状態を表す指標の値が所定の条件を満たす地点の前記インフラ状態の時系列を表示させる、
請求項1乃至4のいずれか1項に記載のインフラ診断装置。 - 前記第1の表示制御手段は、前記複数地点のうち、前記インフラ状態を表す指標の値の変化が所定の条件を満たす地点の前記インフラ状態の時系列を表示させる、
請求項1乃至4のいずれか1項に記載のインフラ診断装置。 - 所定のエリアにおける複数地点のインフラ状態の時系列を表示手段に表示させ、
前記複数地点のインフラ状態の時系列のうちのいずれかの選択を受け付け、
前記選択された時系列に対応する地点を地図上で前記表示手段に表示させる、
インフラ診断方法。 - コンピュータに、
所定のエリアにおける複数地点のインフラ状態の時系列を表示手段に表示させ、
前記複数地点のインフラ状態の時系列のうちのいずれかの選択を受け付け、
前記選択された時系列に対応する地点を地図上で前記表示手段に表示させる、
処理を実行させるプログラムを記録する記録媒体。
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JP2006112127A (ja) * | 2004-10-15 | 2006-04-27 | Hitachi Ltd | 道路管理システム |
JP2008297764A (ja) * | 2007-05-30 | 2008-12-11 | Fuji Electric Systems Co Ltd | 道路情報管理装置 |
JP2018084126A (ja) * | 2016-11-25 | 2018-05-31 | 富士通株式会社 | 道路状態の管理プログラム、道路状態の管理装置、及び道路状態の管理方法 |
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JP2006112127A (ja) * | 2004-10-15 | 2006-04-27 | Hitachi Ltd | 道路管理システム |
JP2008297764A (ja) * | 2007-05-30 | 2008-12-11 | Fuji Electric Systems Co Ltd | 道路情報管理装置 |
JP2018084126A (ja) * | 2016-11-25 | 2018-05-31 | 富士通株式会社 | 道路状態の管理プログラム、道路状態の管理装置、及び道路状態の管理方法 |
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