Impact assessment system, impact assessment method, and program

Abstract

An impact determination system of the present invention, which more appropriately determines the impact of an event on a structure, comprises: a predicted state acquisition means for acquiring a predicted surface state of the structure after the event, the predicted surface state being sensor information associated with the surface of the structure on the ground surface and predicted on the basis of pre-event sensor information measured prior to the event associated with the ground for the structure; a sensor information acquisition means for acquiring post-event sensor information measured after the event; a state determination means for determining a post-event surface state of the structure on the basis of the post-event sensor information; and an impact determination means for determining the impact of the event on the structure on the basis of the predicted surface state and the post-event surface state.

Description

[Technical Field]

[0001] The present invention relates to determining the effect of an event on a structure. [Background technology]

[0002] Patent Document 1 discloses a ground surface displacement observation device that analyzes measurements by a synthetic aperture radar before, during, and after tunnel construction to determine and output displacement of the ground surface. Patent Document 2 discloses a road shoulder collapse risk monitoring device that measures the shape of the road shoulder and the wheel position of a vehicle, calculates the road shoulder strength and wheel load at the measured wheel position, and calculates and notifies the risk of the road shoulder collapsing at the wheel position based on the calculated road shoulder strength and wheel load. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-132707 [Patent Document 2] Japanese Patent Application Laid-Open No. 2011-018132 Summary of the Invention [Problem to be solved by the invention]

[0004] The ground undergoes displacement, such as subsidence or uplift, even when no construction or other events are taking place. Furthermore, structures such as roads deteriorate over time. Patent Documents 1 and 2 do not disclose how to determine the impact of construction or other events on structures.

[0005] An object of the present invention is to provide an influence determination system and the like that can more appropriately determine the influence of an event on a structure. [Means for solving the problem]

[0006] An impact assessment system in one form of the present invention includes a predicted state acquisition means for acquiring a predicted surface state of the structure after an event, which is sensor information related to the surface of a structure on the ground, predicted based on pre-event sensor information measured before an event related to the ground of the structure; sensor information acquisition means for acquiring post-event sensor information measured after the event; state determination means for determining the post-event surface state of the structure based on the post-event sensor information; and impact assessment means for determining the impact of the event on the structure based on the predicted surface state and the post-event surface state.

[0007] An impact assessment method in one embodiment of the present invention includes obtaining a predicted surface state of the structure after an event that is predicted based on pre-event sensor information measured before an event related to the ground of the structure, which is sensor information related to the surface of a structure on the ground, obtaining post-event sensor information measured after the event, determining a post-event surface state of the structure based on the post-event sensor information, and determining the impact of the event on the structure based on the predicted surface state and the post-event surface state.

[0008] In one embodiment of the present invention, the program records a program that causes a computer to execute the following processes: acquiring a predicted surface state of the structure after an event, which is predicted based on pre-event sensor information measured before an event related to the ground of the structure, which is sensor information related to the surface of a structure on the ground; acquiring post-event sensor information measured after the event; determining the post-event surface state of the structure based on the post-event sensor information; and determining the impact of the event on the structure based on the predicted surface state and the post-event surface state. [Effects of the Invention]

[0009] According to the present invention, it is possible to more appropriately determine the impact of an event on a structure. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram showing an example of the configuration of an influence determination system according to a first embodiment. [Figure 2] FIG. 4 is a flowchart showing an example of the operation of the influence determination system according to the first embodiment. [Figure 3] FIG. 10 is a diagram illustrating an example of the configuration of an influence determination system according to a second embodiment. [Figure 4] FIG. 10 is a diagram illustrating an example of a range determined to be affected by an event. [Figure 5] FIG. 10 is a diagram illustrating an example of a case where determination is performed on the entire system. [Figure 6] FIG. 10 is a flowchart showing an example of the operation of the influence determination system according to the second embodiment. [Figure 7] FIG. 10 is a diagram showing an example of a display of a surface layer state. [Figure 8] FIG. 10 is a diagram illustrating an example of the configuration of an influence determination system according to a third embodiment. [Figure 9] FIG. 10 is a diagram for explaining determination based on displacement. [Figure 10] FIG. 11 is a flowchart showing an example of the operation of the influence determination system according to the third embodiment. [Figure 11] FIG. 10 is a diagram showing an example of a display including a displacement. [Figure 12] FIG. 2 is a block diagram showing an example of the hardware configuration of a computer device that constitutes the influence determination system. [Figure 13] FIG. 1 is a conceptual diagram of the entire system. DETAILED DESCRIPTION OF THE INVENTION

[0011] Next, embodiments of the present invention will be described with reference to the drawings. However, each embodiment of the present invention is not limited to the description of each drawing. Furthermore, each embodiment can be appropriately combined.

[0012] First Embodiment A first embodiment of the present invention will be described with reference to the drawings. Fig. 1 is a block diagram showing an example of the configuration of an influence determination system 11 according to the first embodiment. The influence determination system 11 includes a predicted state acquisition unit 110, a sensor information acquisition unit 120, a state determination unit 130, and an influence determination unit 180.

[0013] The predicted state acquisition unit 110 acquires predicted surface state of a structure on the ground. Hereinafter, the predicted surface state is referred to as the "predicted surface state." The structure may be, for example, a road, a bridge, a ramp, a levee, a pier, a revetment, or a runway. The structure may include multiple structures such as a road and a bridge. However, the structure is not limited to these. An event related to the ground of a structure is an occurrence that may affect the ground of the structure. For example, the event may be underground construction of a structure, such as an underground tunnel, an underground shopping mall, an underground parking lot, a utility conduit, or an underground regulation pond. However, the event is not limited to underground construction, and may also be construction around the structure that affects the ground of the structure, such as construction of a large building. Alternatively, the event may be ground construction, such as embankment or cutting. Alternatively, the event is not limited to construction, and may also be an accident affecting the ground, such as a water pipe burst. Alternatively, the event may be a natural disaster, such as heavy rain, flood, earthquake, or abnormal weather. Alternatively, the event may be a man-made disaster such as a large fire or explosion, etc. Alternatively, the event may be a change in infrastructure usage.

[0014] The predicted surface state acquired by the predicted state acquisition unit 110 is a surface state predicted based on sensor information measured before the start of an event related to the ground of the structure. Furthermore, the predicted surface state is the surface state of the structure after the start of the event. Hereinafter, "before the start of the event" may be simply referred to as "before the event." Furthermore, "after the start of the event" may be simply referred to as "after the event." In other words, "after the event" includes the period during and after the event. Furthermore, sensor information measured before the event is referred to as "pre-event sensor information." In other words, the predicted state acquisition unit 110 acquires a predicted surface state predicted based on pre-event sensor information. Sensor information will be explained further below.

[0015] The sensor information acquisition unit 120 acquires sensor information measured after an event. Hereinafter, the sensor information measured after an event will be referred to as "post-event sensor information." The state determination unit 130 determines the surface layer state of the structure after the event based on the post-event sensor information. Specifically, the state determination unit 130 determines the deterioration state of the surface layer. Hereinafter, the surface layer state after an event determined based on the post-event sensor information will be referred to as the "post-event surface layer state."

[0016] The impact determination unit 180 determines the impact of an event on a structure based on the predicted surface layer state and the post-event surface layer state. The surface layer state of structures such as roads changes due to normal use, such as vehicle traffic. Alternatively, structures, including their surface layers, change over time due to material deterioration and other factors. Such normal changes in the surface layer state can be predicted to a certain extent based on predictions based on past surface layer states. On the other hand, when changes occur due to the influence of an event, such as tunnel construction beneath a structure, the changes often fall outside the range of predictions based on past surface layer states. Therefore, the impact determination unit 180 determines whether the surface layer state has changed due to the influence of an event based on the predicted surface layer state predicted based on pre-event sensor information and the post-event surface layer state determined based on post-event sensor information.

[0017] Then, the influence determination unit 180 outputs the determination result. For example, the influence determination unit 180 outputs the determination result to a display device (not shown), such as a terminal device including a liquid crystal display. Note that the display device is not particularly limited as long as it can display the determination result.

[0018] That is, the impact assessment system 11 includes a predicted state acquisition unit 110, a sensor information acquisition unit 120, a state assessment unit 130, and an impact assessment unit 180. The predicted state acquisition unit 110 acquires a predicted surface state. The predicted surface state is sensor information related to the surface of a structure on the ground, and is predicted based on pre-event sensor information measured before an event related to the ground of the structure. Furthermore, the predicted surface state is the surface state of the structure after the event. The sensor information acquisition unit 120 acquires post-event sensor information measured after the event. The state assessment unit 130 assesses the post-event surface state of the structure based on the post-event sensor information. The impact assessment unit 180 assesses the impact of the event on the structure based on the predicted surface state and the post-event surface state.

[0019] The sensor information is information related to the surface of a structure. For example, the sensor information is an image of the surface of a structure, such as an image of the road surface. However, the sensor information is not limited to an image. For example, the sensor information may be the magnitude, speed, or acceleration of vibrations caused by unevenness of the road surface. Alternatively, the sensor information may be three-dimensional data such as data measured using a radio detecting and ranging (RADAR) or a light detecting and ranging (LiDAR). The sensor information may include multiple pieces of information, such as a combination of an image and acceleration, rather than a single piece of information.

[0020] The sensor information may be accompanied by other information. Examples of information that accompanies the sensor information will be described below. Identification information Information for identifying the sensor information may be attached to the sensor information. For example, an identifier may be attached to the sensor information. Alternatively, when measurements are taken at multiple locations, the locations at which the sensor information was measured may be attached to the sensor information. Note that the location may be a two-dimensional location such as latitude and longitude, or a three-dimensional location including height. Alternatively, when measurements are taken at multiple times, the times at which the sensor information was measured may be attached to the sensor information. For example, the influence determination system 12 may identify the sensor information using the locations and times attached to the sensor information. In this way, the locations and times attached to the sensor information may be used to identify the sensor information. Measurement device information The sensor information may be accompanied by information that affects the measured sensor information. For example, information related to the device that measures the sensor information may be accompanied by the sensor information. An example of the device that measures the sensor information is a dashcam. Hereinafter, devices that measure sensor information are collectively referred to as "sensor information measuring devices." For example, the information related to the sensor information measuring device may include at least one of the device name, model name, installation location, and shooting direction. Alternatively, information related to the sensor of the sensor information measuring device may be accompanied by the sensor information. For example, the information related to the sensor may include at least one of the sensor type, specifications, and performance. For example, if the sensor is a camera, the information related to the sensor may include at least one of the camera's focal length, aperture, aperture, shutter speed, and number of pixels. Mobile information When the sensor information measuring device is mounted on a moving object, information related to the moving object may be attached to the sensor information. For example, the information related to the moving object may include at least one of the name, model number, and type of the moving object. Alternatively, information related to the operation of the moving object may be attached to the sensor information. For example, when the moving object is a vehicle, the information related to the operation of the moving object may include information on at least one of the operation of an accelerator pedal, a brake pedal, a shift lever, a steering wheel, wipers, turn signals, and opening and closing of doors. ·Nearby information The sensor information may be accompanied by information about the surroundings at the time the sensor information is measured. The surrounding information may include, for example, at least one of the surrounding weather, temperature, humidity, illuminance, congestion level, and sound. Worker information Information related to the worker who measured the sensor information may accompany the sensor information. For example, the information related to the worker may include at least one of the worker's name and identifier. Alternatively, information added by the worker may accompany the sensor information. For example, the information added by the worker may include comments related to at least one of the structure and the sensor information.

[0021] The "surface layer" of a structure refers to the area where the condition can be confirmed from the surface of the structure. Note that the surface of a structure is not limited to the road surface on which vehicles pass, but may include any surface that is in contact with the outside, such as the side walls and ceiling of a tunnel. For example, the surface layer refers to the area including the surface and a predetermined depth from the surface. For example, if a structure includes multiple layers, the surface layer refers to the surface layer of the structure, or a predetermined layer including the surface layer. Furthermore, hereinafter, the portion of the structure excluding the surface layer will be referred to as the "deep layer." For example, if the structure is an asphalt-paved road, the surface layer is the asphalt layer. In this case, the deep layer is, for example, the crushed stone layer, the roadbed, and the road body. However, the surface layer and the deep layer are not limited to the above. For example, if the structure is an asphalt-paved road, the surface layer may be the asphalt layer and the crushed stone layer. In this case, the deep layer is the roadbed and the road body.

[0022] The "surface condition" refers to the condition of the surface of a structure. For example, the "surface condition" is determined based on sensor information. For example, the determined surface condition refers to road deterioration. Road deterioration is, for example, at least one of cracks, ruts, potholes, deterioration of road seals, and fraying of the periphery of the seals. The surface condition may also refer to the type of deterioration. For example, the surface condition may refer to the type of deterioration, such as vertical, horizontal, or tortoiseshell cracks. Alternatively, the surface condition may refer to deterioration of features on the road surface, such as worn road lines and road markings, or damaged markings. Alternatively, the surface condition may refer to surface changes, such as wear of the surface, rather than damage, such as cracks. Alternatively, the surface condition may refer to the condition of processed portions of the road surface, such as straight drainage grooves in the road surface or circular grooves for anti-slip measures on slopes. Alternatively, the "degree of deterioration," which refers to the degree of deterioration, may be used as the surface condition. The general levels of deterioration for roads, runways, etc. are as follows: Crack rate: The crack area divided by the area of ​​the area under investigation. Rutting depth: The height from the rut to the convex part within a specified range. Note that 20m is often used as the specified range. International Roughness Index (IRI): An evaluation index for the unevenness of paved roads proposed by the World Bank in 1986. BBI (Boeing Bump Index): A flatness index adopted by the US Federal Aviation Administration in 2009.

[0023] A case of tunnel construction beneath a road will be described as an example of impact assessment in the impact assessment system 11. In this description, the structures etc. are as follows: Structure: Road Event: Tunnel construction under the road Sensor information: Road images Surface condition: Road crack rate In this case, the predicted state acquisition unit 110 acquires, as the predicted surface state, the crack rate after tunnel construction, predicted based on images of the road measured before the tunnel construction. Hereinafter, the crack rate after tunnel construction, predicted based on images of the road before the tunnel construction, is referred to as the "predicted crack rate." The sensor information acquisition unit 120 acquires images of the road after tunnel construction as post-event sensor information. The state determination unit 130 determines, as the post-event surface state, the crack rate after tunnel construction, based on images of the road after tunnel construction. Hereinafter, the crack rate determined based on images of the road after tunnel construction is referred to as the "post-construction crack rate." The impact determination unit 180 determines the impact of tunnel construction on the road based on the predicted crack rate and the post-construction crack rate. For example, if the post-construction crack rate is greater than the predicted crack rate by more than the prediction accuracy, the impact determination unit 180 determines that the cracks in the road have been affected by the tunnel construction. Conversely, if the post-construction crack rate is greater than the predicted crack rate but within the range of prediction accuracy, or if the post-construction crack rate is smaller than the predicted crack rate, the impact determination unit 180 determines that the cracks in the road are not affected by the tunnel construction.

[0024] FIG. 2 is a flow diagram showing an example of the operation of the influence determination system 11 according to the first embodiment. The predicted state acquisition unit 110 acquires a predicted surface state of the structure (step S101). The predicted surface state is the surface state of the structure after the event, predicted based on pre-event sensor information. The pre-event sensor information is sensor information related to the surface of the structure, and is sensor information measured before an event related to the ground of the structure. The sensor information acquisition unit 120 acquires post-event sensor information measured after the event (step S102). The state determination unit 130 determines the post-event surface state of the structure based on the post-event sensor information (step S103). The influence determination unit 180 determines the influence of the event on the structure based on the predicted surface state and the post-event surface state (step S104).

[0025] In this way, the impact assessment system 11 determines the impact of a ground-related event on a surface structure using the predicted surface state based on pre-event sensor information and the post-event surface state based on post-event sensor information. That is, when determining the impact of an event on a structure, the impact assessment system 11 uses not only the post-event surface state determined based on the post-event sensor information, but also the predicted surface state predicted based on the pre-event sensor information. This allows the impact assessment system 11 to more appropriately determine the impact of an event on a structure.

[0026] The predicted state acquisition unit 110, state determination unit 130, and influence determination unit 180 of the influence determination system 11 may use velocity, which is the rate of change of the surface state, or acceleration, which is the rate of change of the velocity of the surface state, in addition to or instead of the surface state. For example, if the surface state is deterioration, the velocity of the surface state is the rate at which the deterioration of the surface progresses. For example, if cracks are used as the surface state, the velocity of the change of the surface state is the speed at which the crack rate increases or the speed at which the crack area expands. Furthermore, the velocity of the surface state and the acceleration of the surface state can be calculated based on accumulated data.

[0027] Second Embodiment The influence determination system 12 according to the second embodiment will be described with reference to the drawings. FIG. 3 is a diagram showing an example of the configuration of the influence determination system 12 according to the second embodiment. In FIG. 3, the influence determination system 12 is connected to a sensor information measuring device 20 and a display device 40. The number of components in FIG. 3 is an example and is not limited to the number shown in FIG. 3. For example, the influence determination system 12 may be connected to a plurality of sensor information measuring devices 20.

[0028] (1) Sensor information measuring device 20 The sensor information measuring device 20 measures sensor information. For example, the sensor information measuring device 20 measures sensor information related to the surface of a structure. For example, the sensor information measuring device 20 is mounted on or towed by a mobile object moving on or near the top surface of a structure and measures the sensor information. For example, the sensor information measuring device 20 is a drive recorder mounted on a vehicle, which is an example of a mobile object, and measures images of a road, which is an example of sensor information. Alternatively, the sensor information measuring device 20 may be a vibrometer that measures vehicle vibrations or an accelerometer that measures acceleration in vehicle vibrations. The sensor information measuring device 20 may be a fixed device such as a fixed camera installed on a road or on the side of a road. The sensor information measuring device 20 may be a device that can change performance related to measuring sensor information, such as the shooting direction and focal length.

[0029] It should be noted that the moving body equipped with the sensor information measuring device 20 is not limited to a vehicle. For example, an unmanned aerial vehicle (drone) may be equipped with the sensor information measuring device 20 and move around. Alternatively, the sensor information measuring device 20 may be carried by a person, such as a wearable drive recorder. In the following description, a drive recorder is used as an example of the sensor information measuring device 20, and an image of the surface of a structure is used as the sensor information. Also, a vehicle is used as an example of a moving body.

[0030] (2) Impact Assessment System 12 The influence determination system 12 includes a predicted state acquisition unit 110 , a sensor information acquisition unit 120 , a sensor information storage unit 125 , a state determination unit 130 , and an influence determination unit 180 .

[0031] (2-1) Sensor Information Acquisition Unit 120 The sensor information acquisition unit 120 acquires pre-event sensor information and post-event sensor information. For example, the sensor information acquisition unit 120 acquires pre-event sensor information and post-event sensor information from the sensor information measurement device 20 mounted on a mobile object. The sensor information acquisition unit 120 may acquire pre-event sensor information and post-event sensor information at each of multiple locations. The sensor information acquisition unit 120 may acquire post-event sensor information at each of multiple times after the event. The sensor information acquisition unit 120 may acquire pre-event sensor information at each of multiple times before the event. Hereinafter, to avoid complexity of explanation, "pre-event sensor information" and "post-event sensor information" may be collectively referred to simply as "sensor information" unless a distinction is particularly necessary. The sensor information acquisition unit 120 may acquire the time at which the sensor information was measured. Hereinafter, the time at which the sensor information was measured is referred to as the "time of sensor information."

[0032] The method for acquiring sensor information is not limited. Various methods are conceivable for acquiring sensor information. For example, the sensor information acquisition unit 120 may output the position of a structure to the sensor information measuring device 20 and acquire sensor information corresponding to the output position. Alternatively, the sensor information acquisition unit 120 may acquire sensor information including sensor information of the target structure and sensor information of other structures from the sensor information measuring device 20, and extract sensor information corresponding to the position of the target structure from the acquired sensor information. The sensor information acquisition unit 120 may acquire sensor information at each of multiple positions corresponding to the structure so as to cover the entire structure.

[0033] Alternatively, the sensor information acquisition unit 120 may acquire sensor information within a partial range of the structure. For example, if the structure is a road, the sensor information acquisition unit 120 may acquire sensor information related to a pre-specified road. Alternatively, if the range in which an event is occurring is specified, the sensor information acquisition unit 120 may acquire sensor information within the range in which the event is occurring.

[0034] When the sensor information acquisition unit 120 acquires sensor information from multiple positions, the detection ranges of at least some of the sensor information may overlap. Alternatively, the sensor information acquisition unit 120 may acquire sensor information stored in a storage device (not shown) as at least some of the sensor information. When the influence determination system 12 is connected to multiple sensor information measuring devices 20, the sensor information acquisition unit 120 may acquire sensor information from the multiple sensor information measuring devices 20. In this case, the sensor information acquisition unit 120 may acquire pre-event sensor information and post-event sensor information from different sensor information measuring devices 20.

[0035] Then, the sensor information acquisition unit 120 stores the pre-event sensor information in the sensor information storage unit 125. Furthermore, the sensor information acquisition unit 120 outputs the post-event sensor information to the state determination unit 130. The sensor information acquisition unit 120 may store the post-event sensor information in the sensor information storage unit 125. Alternatively, the sensor information acquisition unit 120 may output the pre-event sensor information to the state determination unit 130.

[0036] (2-2) Sensor information storage unit 125 The sensor information storage unit 125 stores pre-event sensor information acquired by the sensor information acquisition unit 120. When storing pre-event sensor information at multiple times, the sensor information storage unit 125 may store the pre-event sensor information as history. When the sensor information acquisition unit 120 acquires pre-event sensor information at multiple positions, the sensor information storage unit 125 may store the pre-event sensor information at each of the multiple positions. Then, the sensor information storage unit 125 outputs the pre-event sensor information to the predicted state acquisition unit 110. When storing post-event sensor information, the sensor information storage unit 125 may output the post-event sensor information to the state determination unit 130.

[0037] (2-3) Predicted State Acquisition Unit 110 The predicted state acquisition unit 110 acquires a predicted surface layer condition based on pre-event sensor information stored in the sensor information storage unit 125. For example, the predicted state acquisition unit 110 may acquire a predicted surface layer condition by applying the pre-event sensor information to a prediction model acquired through machine learning using past sensor information and surface layer conditions. Alternatively, the predicted state acquisition unit 110 may acquire a predicted surface layer condition by applying the pre-event sensor information to a predetermined prediction formula. Alternatively, the predicted state acquisition unit 110 may output the pre-event sensor information to a component or device (not shown) and acquire a predicted surface layer condition from the component or device. Specifically, for example, the predicted state acquisition unit 110 acquires a predicted crack rate based on images of the road measured before tunnel construction. If the sensor information storage unit 125 stores pre-event sensor information at multiple locations, the predicted state acquisition unit 110 may acquire a predicted surface layer condition at each of the multiple locations.

[0038] The predicted state acquisition unit 110 acquires the surface state at a specific time point as the predicted surface state to be acquired. Hereinafter, the specified time point will be referred to as the "time point of prediction." The time point of prediction used by the predicted state acquisition unit 110 is not limited. For example, the predicted state acquisition unit 110 may use a preset time point or a time point specified by the user as the time point of prediction. Alternatively, the predicted state acquisition unit 110 may use the time point at which the post-event sensor information acquired by the sensor information acquisition unit 120 was measured as the time point of prediction. In other words, the predicted state acquisition unit 110 may acquire the predicted surface state at a time point corresponding to the time of the post-event sensor information. The predicted state acquisition unit 110 may acquire predicted surface states at multiple time points after the event, rather than at a single time point.

[0039] The predicted state acquisition unit 110 may acquire a predicted surface state based on a surface state determined based on sensor information measured before an event, rather than pre-event sensor information. Hereinafter, a surface state determined based on sensor information measured before an event is referred to as a "pre-event surface state." For example, the predicted state acquisition unit 110 may acquire a predicted surface state based on a pre-event surface state determined by the state determination unit 130 based on stored pre-event sensor information. In this case, too, the predicted state acquisition unit 110 may acquire a predicted surface state using a predetermined prediction model or prediction formula. Alternatively, the predicted state acquisition unit 110 may acquire a predicted surface state using a configuration or device not shown.

[0040] (2-4) State Determination Unit 130 The state determination unit 130 determines the post-event surface state of the structure based on the post-event sensor information. For example, the state determination unit 130 may acquire post-event sensor information from the sensor information acquisition unit 120 and determine the post-event surface state based on the acquired post-event sensor information. Alternatively, when determining the post-event surface state, the state determination unit 130 may acquire the post-event sensor information from the sensor information acquisition unit 120, or may acquire the post-event sensor information stored by the sensor information storage unit 125. When the sensor information acquisition unit 120 acquires post-event sensor information from multiple positions, the state determination unit 130 may determine the post-event surface state at each of the multiple positions.

[0041] The state determination unit 130 may determine the post-event surface state based on the post-event sensor information measured at the specified time. For example, the state determination unit 130 may acquire post-event sensor information at the time specified by the user from the sensor information storage unit 125 and determine the post-event surface state based on the acquired post-event sensor information. If the sensor information acquisition unit 120 has acquired post-event sensor information at multiple times after the event, the state determination unit 130 may determine the post-event surface state at each of the multiple times after the event based on the post-event sensor information at each of the multiple times after the event.

[0042] (2-5) Impact determination section 180 The impact determination unit 180 determines the impact of an event on a structure based on the predicted surface state and the post-event surface state. For example, if the post-event surface state is worse than the predicted surface state by a predetermined amount or more, the impact determination unit 180 determines that the event is affecting the structure. Note that the predetermined amount of deterioration may be determined appropriately depending on, for example, the structure, the sensor information, the surface state to be determined, and the error in the determination and prediction. For example, if the event is tunnel construction, the impact determination unit 180 compares the predicted crack rate with the post-construction crack rate within the tunnel construction area. Then, if the post-construction crack rate is greater than the predicted crack rate in at least a portion of the tunnel construction area, the impact determination unit 180 determines that the tunnel construction is having an impact. The impact determination unit 180 may determine that the tunnel construction is having an impact if the post-construction crack rate is greater than the predicted crack rate by a predetermined value or more, taking into account errors in prediction and determination.

[0043] The influence determination unit 180 may determine the range affected by the event. For example, the influence determination unit 180 may determine the range where the post-event surface condition and the predicted surface condition have deteriorated by a predetermined amount or more as the range affected by the event. For example, the influence determination unit 180 may determine the range within the tunnel construction area where the post-event crack rate is greater than the predicted crack rate by a predetermined value or more as the range affected by the tunnel construction. FIG. 4 is a diagram showing an example of a range determined to be affected by the event. In FIG. 4, the range indicated by three dashed lines is the range of the tunnel construction, which is the range where the road, the structure to be determined, is located. The range indicated by the right-hand diagonal lines is the range where the post-event crack rate is greater than the predicted crack rate by a predetermined value or more. Therefore, the influence determination unit 180 determines the dashed range indicated by the right-hand diagonal lines as the range affected by the tunnel construction. The influence determination unit 180 may also determine the range not affected by the event. For example, the influence determination unit 180 may determine that a range in which the difference between the post-construction crack rate and the predicted crack rate is smaller than a predetermined value, and a range in which the post-construction crack rate is smaller than the predicted crack rate, is a range that is not affected by tunnel construction. For example, the influence determination unit 180 may determine that the range of two dashed lines without hatching in Figure 4 is a range that is not affected by tunnel construction.

[0044] The impact determination unit 180 may determine the area affected by the event for the entire structure based on a comparison between the predicted surface state and the post-event surface state. For example, the impact determination unit 180 compares the predicted crack rate with the post-event crack rate for the entire road. The impact determination unit 180 then extracts an area where the post-event crack rate is greater than the predicted crack rate by a predetermined value or more. The impact determination unit 180 may then determine the area of ​​tunnel construction within the extracted area as an area affected by the tunnel construction. FIG. 5 is a diagram showing an example of performing an overall determination. In FIG. 5, the impact determination unit 180 determines three areas where the post-event crack rate is greater than the predicted crack rate by a predetermined value or more. The impact determination unit 180 then determines the area shaded on the right as an area affected by the tunnel construction based on the area of ​​the tunnel construction.

[0045] The impact determination unit 180 may determine the impact of an event based on the relationship between the predicted surface state and the post-event surface state at multiple locations. For example, if the predicted state acquisition unit 110 acquires predicted surface state at multiple locations and the state determination unit 130 determines the corresponding post-event surface state, the impact determination unit 180 may determine the impact of the event based on the predicted surface state and the post-event surface state at each of the multiple locations. For example, the impact determination unit 180 may determine the impact of the event based on the degree of agreement between the area where the post-event surface state is worse than the predicted surface state by a predetermined amount and the area where the event occurred. For example, the impact determination unit 180 may determine the impact of the event based on the predicted surface state, the post-event surface state, and the area where the event occurred. As an example, a case will be described in which crack rates are used as the predicted surface state and the post-event surface state. For example, if the area where the post-construction crack rate is higher than the predicted crack rate roughly overlaps with the area of ​​the construction and has a similar shape, it is highly likely that the cracks are caused by the construction. Therefore, in such a case, the influence determination unit 180 may determine that the crack is affected by the construction work. In this way, when the predicted surface state and the post-event surface state at multiple positions are used, the influence determination unit 180 can more appropriately determine the impact of the event.

[0046] The impact determination unit 180 may determine the impact of an event based on the relationship between the predicted surface state and the post-event surface state at multiple times, or based on the temporal change between the predicted surface state and the post-event surface state. For example, when the predicted state acquisition unit 110 acquires predicted surface state data at multiple times and the state determination unit 130 determines the corresponding post-event surface state, the impact determination unit 180 may determine the impact of the event based on the predicted surface state and the post-event surface state at each of the multiple times. For example, when the difference between the predicted crack rate and the post-construction crack rate increases over time after the event, the impact determination unit 180 may determine that the cracks are affected by the construction work.

[0047] The influence determination unit 180 may determine the influence of an event based on the relationship and temporal change between the predicted surface state and the post-event surface state at multiple locations and multiple times. For example, if the range where the difference between the predicted crack rate and the post-construction crack rate is large expands in the excavation direction of the tunnel construction as the tunnel construction progresses, it is highly likely that the cracks are affected by the tunnel construction. Therefore, if the range where the difference between the predicted crack rate and the post-construction crack rate is large expands in the excavation direction of the tunnel construction as the tunnel construction progresses over time, the influence determination unit 180 may determine that the cracks are affected by the construction.

[0048] The impact determination unit 180 may use other information in determining the impact. For example, the impact determination unit 180 may use at least one of the following information in determining the impact: the strata of the ground of the structure, the area where the event is occurring, the topography, geology, soil, weather, type of construction, and construction method around the structure. The topography may be an artificial flat land, cut land, reclaimed land, fill land, or a gravel mined area. The geology may be soil, sedimentary rock, igneous rock, lava, metamorphic rock, mineral veins, etc. The weather may be sunny or rainy, temperature, humidity, precipitation, and snowfall. The type of construction may be civil engineering work, building construction, paving work, water facility construction, etc. The construction method may be a shield method, a tunnel boring machine (TBM) method, a New Austrian Tunneling Method (NATM), etc.

[0049] The influence determination unit 180 then outputs the determination result. For example, the influence determination unit 180 outputs the determination result to the display device 40 or the like. Note that the display device 40 is not particularly limited as long as it is a device that displays the determination result. Furthermore, the content of the determination result output by the influence determination unit 180 is not particularly limited. For example, the influence determination unit 180 may output the determination result for the entire structure as the determination result. Alternatively, the influence determination unit 180 may output the determination result for a part of the structure. For example, the influence determination unit 180 may output the range determined to be affected by the event as the determination result. The influence determination unit 180 may output at least one of a predicted surface state and a post-event surface state. Alternatively, the influence determination unit 180 may output at least one of pre-event sensor information and post-event sensor information. For example, the influence determination unit 180 may output the determination result for the range determined to be affected by the event, the predicted surface state, and the post-event surface state. Alternatively, the influence determiner 180 may output the determination result of the range determined to be affected by the event, the pre-event sensor information, and the post-event sensor information.

[0050] (2-6) Impact Assessment System 12 The operation of the influence determination system 12 will be described with reference to the drawings. FIG. 6 is a flow diagram showing an example of the operation of the influence determination system 12 according to the second embodiment. The sensor information acquisition unit 120 acquires pre-event sensor information (step S111). Then, the sensor information acquisition unit 120 stores the pre-event sensor information in the sensor information storage unit 125. The predicted state acquisition unit 110 acquires a predicted surface state based on the pre-event sensor information (step S112). The sensor information acquisition unit 120 further acquires post-event sensor information (step S102). The state determination unit 130 determines the post-event surface state of the structure based on the post-event sensor information (step S103). The influence determination unit 180 determines the impact of the event on the structure based on the predicted surface state and the post-event surface state (step S104).

[0051] The impact assessment system 12 may repeat the following operations in accordance with the management cycle of the structure. The sensor information acquisition unit 120 reacquires post-event sensor information. The state assessment unit 130 reassess the post-event surface state based on the reacquired post-event sensor information. The predicted state acquisition unit 110 reacquires the predicted surface state at the time corresponding to the post-event sensor information. The impact assessment unit 180 then reassess the impact of the event based on the reacquired predicted surface state and the reassessed post-event surface state. In this case, for the next operation, the sensor information acquisition unit 120 may add the reacquired post-event sensor information to the pre-event sensor information. In this case, the predicted state acquisition unit 110 may use the pre-event sensor information to which the currently acquired post-event sensor information has been added when acquiring the next predicted surface state.

[0052] Alternatively, the impact determination system 12 may repeat its operation in accordance with a predetermined cycle, such as monthly or weekly, or the update cycle of sensor information, etc. Alternatively, the impact determination system 12 may repeat its operation in response to an instruction from a user.

[0053] Similar to the influence determination system 11, the influence determination system 12 may use velocity, which is the rate of change of the surface state, or acceleration, which is the rate of change of the velocity of the surface state, in addition to or instead of the surface state.

[0054] (3)Display device The display device 40 displays the determination result regarding the impact of the event from the impact determination unit 180. For example, the display device 40 may display the determination result of the impact of tunnel construction on a road, as shown in FIG. 4 or 5. In this way, the type of device and the installation location of the display device 40 are not important as long as it can display the determination result. Furthermore, the relationship between the impact determination system 12 and the display device 40 is not particularly limited.

[0055] The display device 40 may display at least one of the sensor information and the surface condition in addition to the determination result. For example, the display device 40 may display an image of the road in addition to the determination result. Alternatively, the display device 40 may display the predicted surface condition and the post-event surface condition in addition to the determination result.

[0056] FIG. 7 is a diagram showing an example of a display of the surface condition. In FIG. 7, the display device 40 displays the area of ​​the road determined to be affected by the event in FIG. 4 or 5 on the left, the predicted cracks on the upper right, and the determined cracks on the lower right. In FIG. 7, the display device 40 displays squares indicating the crack locations to make it easier to understand the crack locations. Referring to the upper and lower diagrams on the right side of FIG. 7, the two cracks surrounded by dashed ellipses in the lower right of FIG. 7 are unpredicted cracks. In other words, it is estimated that these cracks occurred as a result of the tunnel construction work.

[0057] <Third embodiment> An influence determination system 13 according to the third embodiment will be described with reference to the drawings. Fig. 8 is a diagram showing an example of the configuration of the influence determination system 13 according to the third embodiment. In Fig. 8, compared to the influence determination system 12, the influence determination system 13 is further connected to a ground surface observation system 30. Therefore, the following description will mainly focus on the ground surface observation system 30 and the influence determination system 13.

[0058] (1) Surface Observation System 30 The surface observation system 30 observes the ground surface, including structures, using an observation device and outputs the observation results to the impact assessment system 13. For example, the surface observation system 30 includes a synthetic aperture radar (SAR) that observes the ground surface, including structures, and outputs an image of the ground surface as the observation result. The observation device in the surface observation system 30 is, for example, a SAR mounted on an artificial satellite, an aircraft, or an unmanned aerial vehicle (drone). However, the observation device is not limited to a SAR and may be, for example, an optical sensor or a laser measuring instrument. The surface observation system 30 may output observation results using multiple frequencies (multispectrum) instead of one frequency. The surface observation system 30 may analyze the observation results and output the analysis results. For example, the surface observation system 30 may output the displacement of the ground surface as the analysis result.

[0059] (2) Impact Assessment System 13 The influence determination system 13 includes an influence determination unit 183 instead of the influence determination unit 180 in the configuration of the influence determination system 12, and further includes a displacement acquisition unit 160, a displacement storage unit 165, and a predicted displacement acquisition unit 150. Therefore, the following description will focus on the configuration and operation that are different from the second embodiment, and description of the configuration and operation that are the same as in the second embodiment will be omitted as appropriate. Note that the predicted state acquisition unit 110 may acquire a predicted surface state as in the first embodiment, or may acquire a predicted surface state based on sensor information stored in the sensor information storage unit 125 as in the second embodiment.

[0060] (2-1) Displacement acquisition unit 160 The displacement acquisition unit 160 acquires the displacement of a structure installed on the ground surface. The displacements include pre-event displacement and post-event displacement. The post-event displacement is displacement based on observation results before the event. The post-event displacement is displacement based on observation results after the event. The displacement acquisition unit 160 may acquire the pre-event displacement and the post-event displacement at each of multiple positions. The displacement acquisition unit 160 may acquire the post-event displacement at multiple times after the event. In the following, to avoid complexity of explanation, "pre-event displacement" and "post-event displacement" may be collectively referred to simply as "displacement" unless a particular distinction is required.

[0061] The displacement acquisition unit 160 acquires the displacement of the structure based on the observation results of the surface observation system 30, which includes a SAR that observes the ground surface including the structure. In this way, the displacement is acquired based on the observation results. Therefore, in the following description, the time of the observation that is the basis of the analysis will be used as the time of the displacement.

[0062] The displacement acquisition unit 160 may acquire the displacement based on observation results at multiple times. For example, the displacement acquisition unit 160 acquires images of the Earth's surface at two different times from the Earth's surface observation system 30. Then, the displacement acquisition unit 160 acquires the displacement of the Earth's surface between the two times through analysis using the images of the Earth's surface at the two different times. The displacement acquired as a result of the analysis is the displacement from the earlier observation to the later observation. Therefore, in this case, the time of the displacement is the time of the later observation.

[0063] When the surface observation system 30 outputs the displacement of the ground surface as a result of analyzing the observation results, the displacement acquisition unit 160 may acquire the displacement of the ground surface from the surface observation system 30. In this way, the displacement acquisition unit 160 may acquire the displacement by analyzing the observation results acquired from the surface observation system 30, or may acquire the displacement from the surface observation system 30. Therefore, in the following description, these will be collectively described as the displacement acquisition unit 160 acquiring the displacement of a structure on the ground surface from the surface observation system 30.

[0064] The method for acquiring the displacement is not limited. Various methods are conceivable as the method for acquiring the displacement. For example, when acquiring the displacement, the displacement acquisition unit 160 may output the position of the structure to the surface observation system 30 and acquire the displacement corresponding to the output position. Alternatively, the displacement acquisition unit 160 may acquire displacements including the displacement of the target structure and the displacements of other structures from the surface observation system 30 and extract the displacement of the target structure from the acquired displacements. When the displacement acquisition unit 160 acquires displacements of multiple positions, the detection ranges of at least some of the displacements may overlap. Alternatively, the displacement acquisition unit 160 may acquire displacements stored in a storage device (not shown) as at least some of the displacements.

[0065] When the structure is wider than the spatial resolution of the displacement, the displacements at multiple positions correspond to the structure. Therefore, when the structure is wider than the spatial resolution of the displacement, the displacement acquisition unit 160 may acquire the displacements at multiple positions corresponding to the structure so as to cover the entire structure. Note that the spatial resolution is the minimum distance at which two objects that are close to each other can be distinguished as two separate objects. For example, the spatial resolution of the displacement is the minimum distance between the two displacements.

[0066] The displacement acquisition unit 160 may acquire the displacement within a partial range of the structure. For example, if the structure is a road, the displacement acquisition unit 160 may acquire the displacement related to a pre-specified road. Alternatively, if the range in which an event is occurring is specified, the displacement acquisition unit 160 may acquire the displacement of the range in which the event is occurring.

[0067] Then, the displacement acquisition unit 160 stores the pre-event displacement in the displacement storage unit 165. Furthermore, the displacement acquisition unit 160 outputs the post-event displacement to the influence determination unit 183. The displacement acquisition unit 160 may store the post-event displacement in the displacement storage unit 165. Alternatively, the displacement acquisition unit 160 may output the pre-event displacement to the influence determination unit 183.

[0068] The displacement of the structure is obtained from an analysis of the observation results of the ground surface observation system 30. However, the analysis using the observation results is not limited to the analysis of acquiring the ground surface displacement, but may also include analysis of the intensity change of the ground surface, the cause of the ground surface displacement, the magnitude of the risk based on the ground surface displacement, or the difference from a prediction based on past ground surface displacement. Therefore, the impact assessment system 13 may use the intensity change of the ground surface instead of the ground surface displacement to assess the impact of an event. Even when the intensity change of the ground surface is used instead of the ground surface displacement, the displacement acquisition unit 160 may acquire the intensity change of the ground surface from the ground surface observation system 30.

[0069] When the ground surface observation system 30 performs observation using multispectral measurements, the displacement acquisition unit 160 can acquire the type of ground surface in addition to the displacement of the ground surface. Therefore, the impact assessment system 13 may determine the impact of an event using the type of ground surface in addition to the displacement of the ground surface. The types of ground surface that can be acquired are determined according to the frequency used. For example, the types of ground surface include at least one of water surface, mud, garbage, dry soil, grassland, forest, farmland, and snow cover. In this case, the displacement acquisition unit 160 may also acquire the type of ground surface from the ground surface observation system 30. However, in the following description, as an example, the impact assessment system 13 determines the impact of an event using the displacement of the ground surface.

[0070] Methods for analyzing images of the Earth's surface include change detection, time-series interferometry, coherent change detection, differential interferometry, stereo matching, or a combination of these. Alternatively, a method for analyzing images of the Earth's surface includes applying a newly acquired image of the Earth's surface to an analytical model generated by machine learning using past images of the Earth's surface and surface displacement, thereby analyzing the displacement of the Earth's surface.

[0071] (2-2) Displacement storage unit 165 The displacement storage unit 165 stores the pre-event displacements acquired by the displacement acquisition unit 160. When storing pre-event displacements at multiple times, the displacement storage unit 165 may store the pre-event displacements as history. When the displacement acquisition unit 160 acquires pre-event displacements at multiple positions, the displacement storage unit 165 may store the pre-event displacements at each of the multiple positions. Then, the displacement storage unit 165 outputs the pre-event displacements to the predicted displacement acquisition unit 150. When storing post-event displacements, the displacement storage unit 165 may output the post-event displacements to the influence determination unit 183.

[0072] (2-3) Predicted Displacement Acquisition Unit 150 The predicted displacement acquisition unit 150 acquires the predicted displacement of the structure after the event, which is the displacement of the structure, predicted based on the pre-event displacement acquired before the event. For example, the predicted displacement acquisition unit 150 acquires the post-event displacement predicted based on the pre-event displacement stored in the displacement storage unit 165. Hereinafter, the predicted displacement will be referred to as the "predicted displacement."

[0073] The predicted displacement acquisition unit 150 may acquire the predicted displacement by, for example, applying the pre-event displacement to a prediction model acquired from machine learning using past displacements. Alternatively, the predicted displacement acquisition unit 150 may acquire the predicted displacement by applying the pre-event displacement to a predetermined prediction formula. Alternatively, the predicted displacement acquisition unit 150 may acquire the predicted displacement from an external device (not shown). For example, the predicted displacement acquisition unit 150 may output the pre-event displacement to a component or device (not shown) and acquire the predicted displacement from that component or device. For example, the predicted displacement acquisition unit 150 acquires the predicted displacement of the structure after tunnel construction based on the pre-event displacement acquired before the tunnel construction. If the displacement storage unit 165 stores pre-event displacements at multiple positions, the predicted displacement acquisition unit 150 may acquire the predicted displacement at each of the multiple positions.

[0074] The predicted displacement acquisition unit 150 acquires the displacement at a specific time point as the predicted displacement to be acquired. Hereinafter, the specified time point will be referred to as the "time point of prediction." The time point of prediction used by the predicted displacement acquisition unit 150 is not limited. For example, the predicted displacement acquisition unit 150 may use a preset time point or a time point specified by the user as the time point of prediction for the predicted displacement. Alternatively, the predicted displacement acquisition unit 150 may use the time of observation used to acquire the post-event displacement, i.e., the time of the post-event displacement, as the time point of prediction. The predicted displacement acquisition unit 150 may acquire predicted displacements at multiple time points after the event, rather than at a single time point.

[0075] (2-4) Impact determination section 183 The influence determination unit 183 determines the influence of an event on a structure, similar to the influence determination unit 180. However, the influence determination unit 183 determines the influence of an event on a structure based on the predicted displacement and the post-event displacement in addition to the predicted surface state and the post-event surface state. For example, in addition to the post-construction crack rate and the predicted crack rate, the influence determination unit 183 may also use the post-tunnel construction subsidence predicted based on the subsidence of the road before the tunnel construction and the subsidence of the road after the tunnel construction. Hereinafter, the post-tunnel construction subsidence predicted based on the subsidence of the road before the tunnel construction will be referred to as the "predicted subsidence." Also, hereinafter, the subsidence after the tunnel construction will be referred to as the "post-construction subsidence." Specifically, for example, the influence determination unit 183 may determine that the structure has been affected by construction when both the difference between the post-construction crack rate and the predicted crack rate and the difference between the predicted subsidence and the post-construction subsidence are large.

[0076] The influence determination unit 183 may determine the influence of an event based on the relationship between the predicted displacement and the post-event displacement at multiple positions. For example, the influence determination unit 183 may use the predicted displacement and the post-event displacement at each of the multiple positions. For example, the influence determination unit 183 may use the gradient of the displacement calculated from the displacements at the multiple positions to determine the influence. When the gradient is used, the influence determination unit 183 may use the direction of the gradient for the determination. For example, the influence determination unit 183 obtains the gradient of the displacement predicted based on the predicted displacements at the multiple positions. Hereinafter, the gradient of the predicted displacement will be referred to as the "predicted gradient."

[0077] Furthermore, the impact determination unit 183 acquires a gradient of post-event displacement based on the post-event displacements of multiple positions. Hereinafter, the gradient of displacement acquired based on the post-event displacements will be referred to as the "post-event gradient." The impact determination unit 183 may then determine the impact of the event based on the predicted gradient and the post-event gradient. For example, if positions with a large difference between the predicted gradient and the post-event gradient are aligned along the direction of progress of the event, such as the direction of progress of tunnel construction, the impact determination unit 183 may determine that there is an impact of the event.

[0078] The gradient direction used for the determination may be a direction different from the progression direction of the event. For example, the impact determination unit 183 may determine the impact of the event based on the predicted gradient and post-event gradient in a direction perpendicular to the progression direction of the event. For example, if the difference between the predicted gradient and post-event gradient in the width direction of the tunnel construction increases from the periphery toward the center of the tunnel construction, the impact determination unit 183 may determine that there is an impact of the event. Alternatively, the gradient direction is not limited to one direction. For example, the impact determination unit 183 may determine the impact of the event based on the predicted gradient and post-event gradient for at least a portion of the entire perimeter of the construction range.

[0079] The impact determination unit 183 may determine the impact of an event based on the relationship between the predicted displacement and the post-event displacement over multiple time periods, or based on the temporal change between the predicted displacement and the post-event displacement. For example, the impact determination unit 183 may determine the impact of an event based on the predicted displacement and the post-event displacement at each of multiple time periods. For example, if the difference between the predicted displacement and the post-event displacement increases over multiple time periods after the event, the impact determination unit 183 may determine that the displacement is affected by construction. The impact determination unit 183 may determine the impact of an event based on the predicted displacement and the post-event displacement at multiple locations and multiple time periods. For example, if the range in which the difference between the predicted displacement and the post-event displacement is large expands as the event progresses, the impact determination unit 183 may determine that the structure is affected by the event.

[0080] The influence determiner 183 may output at least one of the predicted displacement and the post-event displacement in addition to the determination result. For example, the influence determiner 183 may output the determination result of the range determined to be affected by the event, the predicted displacement, and the post-event displacement.

[0081] The determination based on displacement will be explained with reference to the drawings. FIG. 9 is a diagram for explaining the determination based on displacement. The left side of FIG. 9 is the predicted displacement. The right side of FIG. 9 is the post-event displacement. Comparing the displacements shown on the left and right sides of FIG. 9, the post-event displacement in the range enclosed by the dashed line at the top of the post-event displacement on the right side of FIG. 9 is an unpredicted displacement, and is within the range of tunnel construction. Therefore, the influence determination unit 183 determines that the displacement in this range is a displacement affected by the tunnel construction. Note that the classification of displacement is not limited to "large, medium, and small" as shown in FIG. 9, and classification using any scale may be used. For example, the displacement may be classified in increments of 1 mm.

[0082] In addition, repair work on roads where cracks have occurred but subsidence has not occurred will be repair work on the surface layer, such as the asphalt layer. On the other hand, repair work on roads where cracks have not occurred but subsidence has occurred will be repair work on deeper layers, such as the roadbed or roadbed. Alternatively, roads where there is no deterioration such as cracks on the surface but subsidence is more advanced than predicted may be susceptible to sinkholes in the near future. In this case, users may close that section of the road in advance or carry out repair work on that section in advance. In this way, if there is a large change in either the surface condition or the displacement, the measures, such as repair work, related to that section may differ. In other words, information on the location or range where either the surface condition or the displacement is determined to be affected by an event is useful information for users.

[0083] Therefore, the influence determination unit 183 may output a position or range where it is determined that there is a large change in either the surface condition or the displacement. For example, the influence determination unit 183 may output a range where the difference between the predicted crack rate and the post-construction crack rate is large and the difference between the predicted displacement and the post-event displacement is small. Alternatively, the influence determination unit 183 may output a range where the difference between the predicted crack rate and the post-construction crack rate is small and the difference between the predicted displacement and the post-event displacement is large.

[0084] (2-4) Impact Assessment System 13 FIG. 10 is a flow diagram showing an example of the operation of the influence determination system 13 according to the third embodiment. The sensor information acquisition unit 120 acquires pre-event sensor information (step S111). Then, the sensor information acquisition unit 120 stores the pre-event sensor information in the sensor information storage unit 125. The predicted state acquisition unit 110 acquires a predicted surface state based on the pre-event sensor information (step S112). The sensor information acquisition unit 120 further acquires post-event sensor information (step S102). The state determination unit 130 determines the post-event surface state of the structure based on the post-event sensor information (step S103). The displacement acquisition unit 160 acquires pre-event displacement (step S121). Then, the displacement acquisition unit 160 stores the pre-event displacement in the displacement storage unit 165. The predicted displacement acquisition unit 150 acquires a predicted displacement based on the pre-event displacement (step S122). The displacement acquisition unit 160 acquires a post-event displacement (step S123). The influence determination unit 183 determines the influence of the event on the structure based on the predicted surface state, the post-event surface state, the predicted displacement, and the post-event displacement (step S124). Either the operations from steps S211 to S103 or the operations from steps S121 to S123 may be executed first. Like the influence determination system 12, the influence determination system 13 may repeat the operations each time a predetermined condition is satisfied.

[0085] If the sensor information measuring device 20 is a drive recorder mounted on a vehicle, the sensor information will be an image of the road on which the vehicle can travel. In other words, the surface state will be the state of the road. On the other hand, if the earth surface observation system 30 uses SAR mounted on an artificial satellite, the displacement will be a displacement including parts other than the road. In this way, the range of displacement will generally be wider than the range of the surface state.

[0086] For example, in the case of tunnel construction under a road, the impact of the tunnel construction may extend beyond the road above the tunnel construction to the surrounding area. However, a drive recorder cannot measure sensor information outside the road. Therefore, the impact determination system 13 can more accurately determine the impact of tunnel construction on the road by using, for example, the surface condition and displacement of the road above the tunnel construction, as well as the displacement of the surrounding area of ​​the road.

[0087] The sensor information measuring device 20 measures sensor information within the range in which the mobile object on which it is mounted can move. For example, if the sensor information measuring device 20 is a drive recorder mounted on a vehicle, the sensor information will be an image of the road on which the vehicle can travel. In other words, the surface state will be the state of the road. On the other hand, if the earth surface observation system 30 uses SAR mounted on an artificial satellite, the displacement will generally be a displacement that includes parts other than the road. In this way, the range of displacement will generally be wider than the range of the surface state.

[0088] For example, in the case of tunnel construction under a road, the impact of the tunnel construction may extend beyond the road above the tunnel construction to the surrounding area. However, a drive recorder cannot measure sensor information outside the road. On the other hand, SAR can observe the area surrounding the road. Therefore, the impact assessment system 13 can more accurately assess the impact of the tunnel construction on the road by using, for example, the surface condition and displacement of the road above the tunnel construction, as well as the displacement around the road. As a result, the impact assessment system 13 can more appropriately assess the impact of the event.

[0089] The spatial resolution of displacement generally has a fairly wide range. For example, the spatial resolution of SAR is often at most a few meters. On the other hand, the spatial resolution of the surface state determined using sensor information is on the order of a few centimeters to a few tens of centimeters. The spatial resolution of the surface state is the smallest distance between two surface state determined using sensor information. The impact assessment system 13 then assesses the impact of an event based on the displacement and the surface state. Therefore, the impact assessment system 13 can achieve assessment with a higher spatial resolution than displacement.

[0090] Furthermore, in general, the observation period that forms the basis for analyzing displacement is often longer than the measurement period of the sensor information used to determine the surface layer condition. In other words, the measurement time of the sensor information used for determination is often closer to the displacement, on average, than the observation time used for determination. Therefore, by using the surface layer condition, the impact determination system 13 can realize determination using information that is, on average, closer in time than the displacement. In this way, displacement and surface layer condition each have different advantages. Therefore, the impact determination system 13 uses both displacement and surface layer condition to realize more appropriate determination of the impact of an event.

[0091] The displacement used by the impact assessment system 13 is, for example, subsidence or uplift of a structure. For example, if the structure is a road, the impact assessment system 13 uses subsidence or uplift of the road as the displacement. However, the impact assessment system 13 is not limited to displacements in the vertical direction relative to the ground, such as subsidence and uplift, and may also use displacements that include a horizontal component.

[0092] Similar to the impact assessment systems 11 and 12, the impact assessment system 13 may use velocity, which is the rate of change of the surface state, or acceleration, which is the rate of change of the velocity of the surface state, in addition to or instead of the surface state. Furthermore, the impact assessment system 13 may use at least one of velocity, which is the rate of change of displacement, and acceleration, which is the rate of change of the velocity of displacement, in addition to or instead of displacement. Note that, for example, when the displacement of a certain point increases over time, the velocity of change of displacement is the rate at which the magnitude of the displacement changes. Furthermore, the velocity of displacement and the acceleration of displacement can be calculated based on accumulated data.

[0093] (3) Display device 40 The display device 40 displays the determination result, as in the second embodiment. Furthermore, the display device 40 may display displacement in addition to the determination result from the influence determination system 13. FIG. 11 is a diagram showing an example of a display including displacement. In addition to displaying the range affected by the event determined based on the surface state in FIG. 7, FIG. 11 also displays the range affected by the event determined based on displacement.

[0094] <Hardware configuration> Next, the hardware configuration of the impact determination systems 11, 12, and 13 will be described using the impact determination system 13. Each component of the impact determination system 13 may be configured using a hardware circuit. Alternatively, each component of the impact determination system 13 may be configured using multiple devices connected via a network. For example, the impact determination system 13 may be configured using cloud computing. Alternatively, multiple components of the impact determination system 13 may be configured using a single piece of hardware.

[0095] The impact determination system 13 may be realized as a computer device including a central processing unit (CPU), read only memory (ROM), and random access memory (RAM). In addition to the above configuration, the impact determination system 13 may also be realized as a computer device including other components such as a network interface card (NIC).

[0096] 12 is a block diagram showing an example of the hardware configuration of a computer device 600 constituting the influence determination system 13. The computer device 600 includes a CPU 610, a ROM 620, a RAM 630, a storage device 640, and a NIC 650. The CPU 610 loads a program from at least one of the ROM 620 and the storage device 640. The CPU 610 then controls the RAM 630, the storage device 640, and the NIC 650 based on the loaded program. The computer device 600 including the CPU 610 controls these components and realizes the functions of the predicted state acquisition unit 110, the sensor information acquisition unit 120, the sensor information storage unit 125, the state determination unit 130, and the influence determination unit 183 of the influence determination system 13. Furthermore, the computer device 600 realizes the functions of the predicted displacement acquisition unit 150, the displacement acquisition unit 160, and the displacement storage unit 165.

[0097] When realizing each function, the CPU 610 may use at least one of the RAM 630 and the storage device 640 as a temporary storage medium for programs and data. The CPU 610 may also read, using a storage medium reading device (not shown), a program contained in a storage medium 690 that stores a computer-readable program. Alternatively, the CPU 610 may obtain a program from another device (not shown) via the NIC 650, store the obtained program in at least one of the RAM 630 and the storage device 640, and operate based on the stored program.

[0098] The ROM 620 stores programs executed by the CPU 610 and fixed data. The ROM 620 is, for example, a programmable ROM (P-ROM) or a flash ROM. The RAM 630 temporarily stores at least one of the programs and data executed by the CPU 610. The RAM 630 is, for example, a dynamic RAM (D-RAM). The storage device 640 stores data and programs that the computer device 600 stores long-term. The storage device 640 realizes the functions of the sensor information storage unit 125 and the displacement storage unit 165. The storage device 640 may also operate as a temporary storage device for the CPU 610. The storage device 640 is, for example, a hard disk device, a magneto-optical disk device, a solid-state drive (SSD), or a disk array device.

[0099] The ROM 620 and the storage device 640 are non-volatile (non-transitory) recording media. On the other hand, the RAM 630 is a volatile (transitory) recording media. The CPU 610 can operate based on a program stored in at least one of the ROM 620, the storage device 640, and the RAM 630. In other words, the CPU 610 can operate using at least one of a non-volatile recording medium and a volatile recording medium.

[0100] The NIC 650 relays data exchange with other devices (not shown) via a network. The NIC 650 is, for example, a local area network (LAN) card. Furthermore, the NIC 650 is not limited to being wired, and may be wireless. In the computer device 600 configured in this manner, the CPU 610 realizes functions similar to those of the influence determination systems 11, 12, or 13 based on a program.

[0101] <Examples of use of the impact assessment system> To explain the impact determination system 13, a specific example of a system that uses the impact determination system 13 will be described with reference to the drawings. FIG. 13 is a conceptual diagram of the entire system. Note that in FIG. 13, the main components of each configuration may be the same or different. In FIG. 13, a computer device 810 is an example of the impact determination system 13. A drive recorder 820 is an example of a sensor information measuring device 20. An SAR system 830, which includes an artificial satellite equipped with a SAR and a ground station, is an example of an earth surface observation system 30. A terminal device 840 is an example of a display device 40. A vehicle 850 is an example of a moving body. Note that in FIG. 13, the drive recorder 820 is mounted outside the vehicle 850. However, the drive recorder 820 may also be mounted inside the vehicle 850.

[0102] Network 880 is a communication path that interconnects the devices and systems. For example, network 880 may be the Internet, a public telephone line, a dedicated communication network, or a combination thereof. However, network 880 is not limited to the above and may be any communication path that can connect the devices and systems. Network 880 may be configured using multiple networks rather than a single network. For example, network 880 may be configured using different networks to connect computer device 810 (described below) to other devices or systems. Connection between the computer device 810 and the drive recorder 820 Connection between the computer device 810 and the SAR system 830 Connection between the computer device 810 and the terminal device 840 Alternatively, when multiple drive recorders 820 are included, network 880 may be configured using multiple networks corresponding to the locations of drive recorders 820 as connections between computer device 810 and drive recorders 820 .

[0103] As such, the number of components included in FIG. 13 is an example and is not limited to the number shown in FIG. 13. For example, the number of drive recorders 820 is not limited to three, but may be one, two, or four or more. Furthermore, the components shown in FIG. 13 can be replaced with other devices or systems. For example, drive recorder 820 may be mounted on a moving object other than vehicle 850, such as a drone. Alternatively, drive recorder 820 may be replaced with a fixed camera.

[0104] The vehicle 850 is equipped with a drive recorder 820 and travels on structures such as roads and bridges. The vehicle 850 may travel through structures such as tunnels. The drive recorder 820 measures sensor information of structures such as roads and bridges on which the vehicle 850 travels and outputs the measured sensor information to the computer device 810. For example, the drive recorder 820 measures images and acceleration as sensor information and outputs the information to the computer device 810. The SAR system 830 outputs observation results of the ground surface to the computer device 810. Alternatively, the SAR system 830 analyzes the observation results and outputs the displacement of the ground surface including the structure.

[0105] The computer device 810 acquires pre-event sensor information from the driving recorder 820 and stores the pre-event sensor information. The computer device 810 then acquires a predicted surface condition based on the pre-event sensor information. The computer device 810 also acquires post-event sensor information from the driving recorder 820. The computer device 810 then determines a post-event surface condition based on the post-event sensor information. The computer device 810 then acquires pre-event observation results from the SAR system 830 and analyzes the acquired observation results to acquire and store pre-event displacements. Alternatively, the computer device 810 acquires and stores pre-event displacements from the SAR system 830. That is, the computer device 810 stores pre-event displacements that are the result of analysis using pre-event observations in the SAR system 830. The computer device then acquires predicted displacements based on the pre-event displacements. The computer device 810 also acquires post-event displacements from the SAR system 830. The computer device 810 then determines the impact of the event on the structure based on the predicted surface state, post-event surface state, predicted displacement, and post-event displacement. The computer device 810 then outputs the determination result to the terminal device 840. The terminal device 840 displays the determination result obtained from the computer device 810.

[0106] Generally available products and systems can be applied as the computer device 810, the drive recorder 820, the SAR system 830, the terminal device 840, and the vehicle 850. For example, a general personal computer may be used as the computer device 810. As such, there are no particular limitations on the devices and systems used as the computer device 810, the drive recorder 820, the SAR system 830, the terminal device 840, and the vehicle 850.

[0107] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes.

[0108] (Appendix 1) a predicted state acquisition means for acquiring a predicted surface state of the structure after an event, the predicted surface state being sensor information related to the surface of the structure on the ground, the sensor information being measured before the event related to the ground of the structure; a sensor information acquisition means for acquiring post-event sensor information measured after an event; a state determination means for determining a post-event surface state of the structure based on post-event sensor information; an impact determination means for determining the impact of the event on the structure based on the predicted surface state and the post-event surface state; Impact assessment system including.

[0109] (Appendix 2) The predicted state acquisition means acquires a predicted surface state based on the pre-event sensor information. 1. An impact determination system as described in Appendix 1.

[0110] (Appendix 3) The predicted state acquisition means acquires predicted surface states at each of a plurality of times after the event; the sensor information acquisition means acquires post-event sensor information at each of a plurality of times after the event; the state determination means determines a post-event surface state at each of a plurality of times after the event based on post-event sensor information at each of a plurality of times after the event; The influence determination means determines the influence of the event based on the predicted surface state and the post-event surface state at each of a plurality of times after the event. 1. An impact determination system as described in appendix 1 or 2.

[0111] (Appendix 4) the sensor information acquisition means acquires pre-event sensor information and post-event sensor information at each of the plurality of positions; The predicted state acquisition means acquires a predicted surface state at each of the plurality of positions; The state determination means determines a post-event surface state at each of the plurality of positions; The influence determination means determines the influence of the event based on the predicted surface state and the post-event surface state at each of the plurality of positions. An effect assessment system according to any one of appendices 1 to 3.

[0112] (Appendix 5) the sensor information acquisition means adds the acquired post-event sensor information to the pre-event sensor information; The predicted state acquisition means uses the pre-event sensor information to which the post-event sensor information has been added in acquiring the next predicted surface state. An effect assessment system according to any one of appendices 1 to 4.

[0113] (Appendix 6) a predicted displacement acquisition means for acquiring a predicted displacement of the structure after the event, the predicted displacement being a displacement of the structure based on a pre-event displacement acquired before the event; a displacement acquisition means for acquiring post-event displacement of the structure based on observation results acquired after the event; further comprising The impact determination means determines the impact of the event on the structure based on the predicted displacement and the post-event displacement. An effect assessment system according to any one of appendices 1 to 5.

[0114] (Appendix 7) The predicted displacement acquisition means acquires a predicted displacement based on the pre-event displacement. 1. An impact determination system as described in Appendix 6.

[0115] (Appendix 8) The event is at least one of construction beneath the structure, construction around the structure, construction on the ground, an accident, and a disaster. An effect assessment system according to any one of appendices 1 to 7.

[0116] (Appendix 9) The impact determination means further determines the impact of the event based on at least one of the strata of the ground of the structure, the area where the event is occurring, the topography, geology, soil, weather, type of construction work, and construction method of the structure. An effect assessment system according to any one of appendices 1 to 8.

[0117] (Appendix 10) The sensor information acquisition means acquires post-event sensor information from a sensor information measurement device mounted on the moving body. An effect assessment system according to any one of appendices 1 to 9.

[0118] (Appendix 11) The moving body is a vehicle, the sensor information measuring device is a drive recorder, The sensor information is an image of the surface of the structure. 11. An impact determination system as described in Appendix 10.

[0119] (Appendix 12) The displacement acquisition means acquires post-event displacement based on the observation results of a ground observation system including a synthetic aperture radar that observes the ground surface including the structure. 10. An impact determination system as described in Appendix 6 or 7.

[0120] (Appendix 13) obtaining a predicted surface condition of the structure after the event, the predicted condition being based on pre-event sensor information related to the surface of the structure at the ground level and measured before the event; obtaining post-event sensor information measured after the event; determining the post-event surface condition of the structure based on post-event sensor information; Determine the impact of the event on the structure based on predicted surface conditions and post-event surface conditions Impact determination method.

[0121] (Appendix 14) obtaining a predicted surface condition of the structure after the event, the predicted condition being based on pre-event sensor information related to the surface of the structure at the ground level, the pre-event sensor information being measured before the event related to the ground level of the structure; obtaining post-event sensor information measured after the event; A process of determining the post-event surface condition of the structure based on the post-event sensor information; determining the impact of the event on the structure based on the predicted surface condition and the post-event surface condition; A recording medium that records a program that causes a computer to execute the above.

[0122] Although the present invention has been described above with reference to the embodiments, the present invention 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 invention within the scope of the present invention. [Explanation of symbols]

[0123] 11 Impact Assessment System 12 Impact Assessment System 13 Impact Assessment System 20 Sensor information measuring device 30 Surface Observation System 40 Display device 110 Predicted state acquisition unit 120 Sensor information acquisition unit 125 Sensor information storage unit 130 Status determination unit 150 Predicted displacement acquisition unit 160 Displacement acquisition unit 165 Displacement Conservation Section 180 Impact Determination Department 183 Impact Determination Department 600 Computer equipment 610 CPU 620 ROM 630 RAM 640 Storage device 650 NIC 810 Computer equipment 820 Drive Recorder 830 SAR System 840 Terminal Equipment 850 vehicles 880 Network

Claims

1. a predicted state acquisition means for acquiring sensor information related to the surface of a structure on the ground, the sensor information being related to the surface of the structure, and for acquiring a predicted surface state of the structure after the event, the predicted surface state being predicted based on pre-event sensor information measured before the event related to the ground of the structure; a sensor information acquisition means for acquiring post-event sensor information measured after the event; a state determination means for determining a post-event surface state of the structure based on the post-event sensor information; an impact determination means for determining the impact of the event on the structure based on the predicted surface state and the post-event surface state; Impact assessment system including.

2. The predicted state acquisition means acquires the predicted surface state based on the pre-event sensor information. The influence determination system according to claim 1 .

3. the predicted state acquisition means acquires the predicted surface state at each of a plurality of times after the event, the sensor information acquisition means acquires the post-event sensor information at each of the plurality of times after the event; the state determination means determines the post-event surface state at each of the plurality of times after the event based on the post-event sensor information at each of the plurality of times after the event; The influence determination means determines the influence of the event based on the predicted surface state and the post-event surface state at each of the plurality of times after the event. The influence determination system according to claim 1 or 2.

4. the sensor information acquisition means acquires the pre-event sensor information and the post-event sensor information at each of a plurality of positions; the predicted state acquisition means acquires the predicted surface state at each of the plurality of positions, the state determination means determines the post-event surface state at each of the plurality of positions; The influence determination means determines the influence of the event based on the predicted surface state and the post-event surface state at each of the plurality of positions. The influence determination system according to any one of claims 1 to 3.

5. the sensor information acquisition means adds the acquired post-event sensor information to the pre-event sensor information; The predicted state acquisition means uses the pre-event sensor information to which the post-event sensor information has been added in acquiring the next predicted surface state. The influence determination system according to any one of claims 1 to 4.

6. a predicted displacement acquisition means for acquiring a predicted displacement of the structure after the event, the predicted displacement being predicted based on a pre-event displacement acquired before the event; a displacement acquisition means for acquiring a post-event displacement of the structure based on an observation result observed after the event; further comprising The impact determination means determines the impact of the event on the structure based on the predicted displacement and the post-event displacement. The influence determination system according to any one of claims 1 to 5.

7. The predicted displacement acquisition means acquires the predicted displacement based on the pre-event displacement. The influence determination system according to claim 6 .

8. The event is at least one of construction work under the structure, construction work around the structure, construction work on the ground, an accident, and a disaster. The influence determination system according to any one of claims 1 to 7.

9. obtaining sensor information related to a surface of a structure on the ground, the sensor information being predicted based on pre-event sensor information measured before an event related to the ground of the structure, and a predicted surface condition of the structure after the event; obtaining post-event sensor information measured after the event; determining a post-event surface condition of the structure based on the post-event sensor information; determining an impact of the event on the structure based on the predicted surface condition and the post-event surface condition; Impact determination method.

10. obtaining sensor information related to the surface of a structure on the ground, the sensor information being predicted based on pre-event sensor information measured before an event related to the ground of the structure, and a predicted surface state of the structure after the event; obtaining post-event sensor information measured after the event; determining a post-event surface state of the structure based on the post-event sensor information; determining an impact of the event on the structure based on the predicted surface condition and the post-event surface condition; A program that causes a computer to execute the following.

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