Profile data derivation system, profile data derivation method, profile data derivation program, evaluation value calculation system, evaluation value calculation method, evaluation value calculation program, flatness determination system, flatness determination method, and flatness determination program

Abstract

To determine, before performing a pavement construction, flatness of a road surface as of after performing the pavement construction.SOLUTION: A flatness determination system 1 of the present invention includes: a three-dimensional design surface data storage unit 11a that stores three-dimensional design surface data of a road surface to be used when a pavement construction is performed; an operation unit 3 that designates an investigation place on the road surface indicated by the three-dimensional design surface data stored in the three-dimensional design surface data storage unit 11a; a profile data derivation unit 13 that derives profile data corresponding to altitudes at a plurality of positions on the investigation place designated by the operation unit 3 on the basis of the three-dimensional design surface data stored in the three-dimensional design surface data storage unit 11a; an evaluation value calculation unit 14 that calculates an IRI value for evaluating flatness on the basis of the profile data derived in the profile data derivation unit 13; and a flatness evaluation unit 15 that determines flatness of the investigation place on the basis of the IRI value calculated in the evaluation value calculation unit 14.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to, for example, a profile data derivation system, a profile data derivation method, a profile data derivation program, an evaluation value calculation system, an evaluation value calculation method, an evaluation value calculation program, a flatness determination system, a flatness determination method, and a flatness determination program used when determining the flatness of a road surface where paving work is performed.

Background Art

[0002] Since roads become uneven due to the passage of vehicles and the like and need to be repaired, data on the uneven state of the road surface is acquired when performing such repairs. Thereafter, three-dimensional design surface data, which is a repair plan screen indicating how to perform the repair according to the uneven state of the road surface, is created, and paving work is performed based on the three-dimensional design surface data.

[0003] Regarding the uneven state of the road surface, the International Roughness Index (IRI) is known as an index representing the unevenness of the road surface in order to evaluate the riding comfort of automobiles (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] When creating 3D design surface data for paving work, different approaches to repair will result in the creation of different 3D design surface data. In other words, for example, if multiple designers create 3D design surface data for the same repair location, it is common for those 3D design surface data to be different from each other.

[0006] Furthermore, in the past, when creating 3D design surface data used in paving work, emphasis was placed on whether the thickness of the newly laid layer was greater than or equal to a specified thickness. When paving work was carried out based on 3D design surface data created with an emphasis on the thickness control of the newly laid layer, the international roughness index of the road surface after repair sometimes became high, resulting in very poor road surface flatness.

[0007] Furthermore, conventionally, it was not possible to evaluate the flatness of the road surface until after the repairs had actually been carried out based on 3D design surface data. As a result, in some cases, the road surface repairs may have to be redone if the flatness is found to be poor after the repair work is completed.

[0008] The present invention has been made in view of these problems, and aims to provide a profile data derivation system, a profile data derivation method, a profile data derivation program, an evaluation value calculation system, an evaluation value calculation method, an evaluation value calculation program, a flatness determination system, a flatness determination method, and a flatness determination program that enable the determination of the flatness of the road surface after repair work based on 3D design surface data before road surface repair work is carried out. [Means for solving the problem]

[0009] To solve these problems, the present invention employs the following means.

[0010] In other words, the profile data derivation system according to the present invention includes a 3D design surface data storage means for storing 3D design surface data of a road surface used when performing paving work, an investigation location designation means for specifying an investigation location on the road surface indicated by the 3D design surface data stored in the 3D design surface data storage means, and the 3D design surface data stored in the 3D design surface data storage means. This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by comprising a profile data derivation means for deriving profile data corresponding to the elevation at multiple locations on the survey location specified by the survey location designation means.

[0011] The profile data derivation method according to the present invention includes a 3D design surface data acquisition step for acquiring 3D design surface data of a road surface used when performing paving work, an investigation location designation step for specifying investigation locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step, and the 3D design surface data acquired in the 3D design surface data acquisition step This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by comprising a profile data derivation step, which derives profile data corresponding to the elevations at multiple locations on the survey location specified in the survey location designation step.

[0012] The profile data derivation program according to the present invention, when loaded into a computer, provides the computer with: a 3D design surface data receiving means for receiving 3D design surface data of a road surface used when performing paving work; a design information receiving means for receiving design information for specifying survey locations on the road surface indicated by the 3D design surface data received by the 3D design surface data receiving means; and the 3D design surface data received by the 3D design surface data receiving means. This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by functioning as a profile data derivation means that derives profile data corresponding to the elevation at multiple locations on the survey site specified by the designated information received by the designated information receiving means.

[0013] As a result, the profile data derivation system, profile data derivation method, and profile data derivation program according to the present invention can derive profile data of a surveyed area based on 3D design surface data of the road surface used when performing paving work. Therefore, before performing paving work on the road surface, it is possible to determine the flatness of the road surface based on the 3D design surface data as it would be if paving work were performed.

[0014] The evaluation value calculation system according to the present invention includes a 3D design surface data storage means for storing 3D design surface data of a road surface used when performing paving work, an inspection location designation means for specifying an inspection location on the road surface indicated by the 3D design surface data stored in the 3D design surface data storage means, and the 3D design surface data stored in the 3D design surface data storage means. This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by comprising: a profile data derivation means for deriving profile data corresponding to the elevation at multiple locations on the survey location specified by the survey location designation means; and an evaluation value calculation means for calculating an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means.

[0015] The evaluation value calculation method according to the present invention includes a 3D design surface data acquisition step for acquiring 3D design surface data of the road surface used when performing paving work, an investigation location designation step for specifying investigation locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step, and the 3D design surface data acquired in the 3D design surface data acquisition step This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by comprising: a profile data derivation step for deriving profile data corresponding to the elevation at multiple locations on the survey location specified in the survey location designation step; and an evaluation value calculation step for calculating an evaluation value for evaluating flatness based on the profile data derived in the profile data derivation step.

[0016] The evaluation value calculation program according to the present invention, when loaded into a computer, enables the computer to receive 3D design surface data for road surfaces used when performing paving work, a 3D design surface data receiving means for receiving designation information for receiving designation information for specifying survey locations on the road surface indicated by the 3D design surface data received by the 3D design surface data receiving means, and the 3D design surface data received by the 3D design surface data receiving means. This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by functioning as a profile data derivation means for deriving profile data corresponding to the elevation at multiple locations on the survey site specified by the designated information received by the designated information receiving means, and an evaluation value calculation means for calculating an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means.

[0017] As a result, the evaluation value calculation system, evaluation value calculation method, and evaluation value calculation program according to the present invention can calculate an evaluation value for determining the flatness of a surveyed area based on the 3D design surface data of the road surface used when performing paving work. Therefore, it is possible to determine the flatness of the road surface as it would be if paving work were performed, based on the 3D design surface data, before performing paving work on the road surface.

[0018] The flatness determination system according to the present invention includes a 3D design surface data storage means for storing 3D design surface data of a road surface used when performing paving work, an inspection location designation means for specifying an inspection location on the road surface indicated by the 3D design surface data stored in the 3D design surface data storage means, and the 3D design surface data stored in the 3D design surface data storage means. This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... The system is characterized by comprising: a profile data derivation means for deriving profile data corresponding to the elevation at multiple locations on the survey location specified by the survey location designation means; an evaluation value calculation means for calculating an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means; and a flatness evaluation means for determining the flatness of the survey location based on the evaluation value calculated by the evaluation value calculation means.

[0019] The flatness determination method according to the present invention includes a three-dimensional design surface data acquisition step of acquiring three-dimensional design surface data of a road surface used when performing paving work, an investigation location designation step of designating an investigation location on the road surface indicated by the three-dimensional design surface data acquired in the three-dimensional design surface data acquisition step, and the three-dimensional design surface data acquired in the three-dimensional design surface data acquisition step This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... a profile data derivation step of deriving profile data corresponding to the elevations at a plurality of positions on the investigation location designated in the investigation location designation step, an evaluation value calculation step of calculating an evaluation value for evaluating flatness based on the profile data derived in the profile data derivation step, and a flatness evaluation step of determining the flatness of the investigation location based on the evaluation value calculated in the evaluation value calculation step. It is characterized by comprising the above steps.

[0020] The flatness determination program according to the present invention, when read into a computer, causes the computer to function as a three-dimensional design surface data reception means for receiving three-dimensional design surface data of a road surface used when performing paving work, a designation information reception means for receiving designation information for designating an investigation location on the road surface indicated by the three-dimensional design surface data received by the three-dimensional design surface data reception means, and the three-dimensional design surface data received by the three-dimensional design surface data reception means This is transformed into an irregular triangular network, which is a collection of triangular planes connected by each point designed by the longitudinal and transverse plan as vertices, and based on that irregular triangular network... a profile data derivation means for deriving profile data corresponding to the elevations at a plurality of positions on the investigation location designated by the designation information received by the designation information reception means, an evaluation value calculation means for calculating an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means, and a flatness determination means for evaluating the flatness of the investigation location based on the evaluation value calculated by the evaluation value calculation means. It is characterized by the above features.

[0021] As a result, the flatness determination system, flatness determination method, and flatness determination program according to the present invention can determine the flatness of the road surface before paving work is carried out, based on the three-dimensional design surface data of the road surface used when performing paving work. [Effects of the Invention]

[0022] As described above, according to the present invention, it is possible to determine the flatness of the road surface based on 3D design surface data before performing road surface paving work. [Brief explanation of the drawing]

[0023] [Figure 1] This figure shows a schematic configuration of a flatness determination system 1 according to an embodiment of the present invention. [Figure 2] This is a schematic diagram illustrating the longitudinal section plan. [Figure 3] This is a schematic diagram illustrating the cross-sectional plan. [Figure 4] This diagram illustrates a method for converting point cloud data into a three-dimensional TIN model and deriving data for each point at a survey location. [Figure 5] Figure 5(a) is a plan view of the two-lane road at the time of commencement of repair work, and Figure 5(b) is an enlarged view of the area around the manhole at the time of commencement of repair work. [Figure 6] This is a schematic diagram showing the elevation around the manhole. [Figure 7] This diagram illustrates three methods for creating repair plan forms. [Figure 8] This figure shows examples of linear survey points on the road surface. [Figure 9] This figure shows the longitudinal profile data. [Figure 10] This figure shows the IRI values ​​of the surveyed locations in three different repair plan scenarios. [Figure 11] This figure shows the flatness determination method of the flatness determination system 1 shown in Figure 1. [Figure 12] This diagram illustrates a modified method for deriving data for each point in the survey area. [Modes for carrying out the invention]

[0024] Embodiments of the present invention will be described below with reference to the drawings.

[0025] The flatness determination system 1 according to an embodiment of the present invention comprises a flatness determination device 2, an operation unit 3 and a display screen 5 connected to the flatness determination device 2. The flatness determination device 2 has an input device 2a and is configured to be able to acquire data from an external source via the input device 2a.

[0026] As shown in Figure 1, the flatness determination device 2 has a control unit 10, which is composed of, for example, a microcomputer and includes a CPU, a ROM containing a program that controls the operation of the flatness determination device 2, and a RAM that temporarily stores data used when executing the program. In other words, the control unit 10 is mainly composed of a normal microcomputer including a CPU, memory, and interface, and performs predetermined calculations and processing according to the flatness determination program stored in memory, and in cooperation with peripheral hardware, determines flatness based on the data acquired from the acquisition device 2a.

[0027] The control unit 10 of the flatness determination device 2 includes a 3D design surface data receiving unit 11, which includes a 3D design surface data storage unit 11a; a specified information receiving unit 12; a profile data derivation unit 13; an evaluation value calculation unit 14; and a flatness determination unit 15. Furthermore, the control unit 10 of the flatness determination device 2 is connected to an operation unit 3 and a display screen 5.

[0028] The 3D design surface data receiving unit 11 receives 3D design surface data supplied from the data acquisition device 2a. The 3D design surface data received by the 3D design surface data receiving unit 11 is stored in the 3D design surface data storage unit 11a.

[0029] 3D design surface data refers to the 3D design surface data of a road surface used when performing paving work. It is 3D data that shows the planned surface of the road surface to be paved. In other words, 3D design surface data includes data corresponding to the latitude, longitude, and elevation (height) of each point on the planned surface of the road surface to be paved.

[0030] When creating 3D design surface data for road surfaces used in paving work, data on the unevenness of the road surface at the time of repair work is first acquired using a 3D scanner 2. The 3D scanner 2 acquires point cloud data (a set of elevations with planar position coordinates) of each point on the road surface and its surroundings by irradiating it with laser light, resulting in 3D coordinate data.

[0031] Once data on the unevenness of the road surface at the time of repair work is acquired, 3D design surface data is created that shows the repair plan surface for improving the unevenness of the road surface.

[0032] The repair plan surface includes longitudinal and transverse plans. After a longitudinal plan is created along the longitudinal direction of the road, transverse plans are created along the transverse direction at multiple points along the road, thereby obtaining the repair plan surface to be used during repairs. Therefore, the repair plan surface includes plan surface data showing the longitudinal plan surface and plan surface data showing multiple transverse plan surfaces.

[0033] The longitudinal plan includes a plan for the elevation of each point along a line parallel to the longitudinal direction of the road, in the central part of the road. For example, Figure 2 shows the longitudinal plan plane for the elevation of each point along a line parallel to the central part of the road. In Figure 2, the repair area requiring repair planning is located between the unrepaired area on the left and the unrepaired area on the right. In Figure 2, the elevation changes based on point cloud data are illustrated for the repair area, along with the longitudinal plan plane.

[0034] The longitudinal section plan shown in Figure 2 is obtained by connecting elevations that have been planned, taking into account factors such as the flatness of the road, at each point along a line parallel to the center of the road. The points along the line parallel to the center of the road are, for example, at intervals of 10m or 20m.

[0035] In the longitudinal section plan, the elevation at each point along the line parallel to the center of the road is planned, followed by the cross section plan. The cross section plan is a plan for the elevation at each point along the line parallel to the cross direction of the road at each point along the line parallel to the center of the road. For example, Figure 3 shows the cross section plan plane for the elevation at each point along the line parallel to the cross direction of the road at point a in Figure 2. In Figure 3, the repair area requiring repair planning is located between the left and right ends of the road. At the repair area, the elevation changes based on point cloud data are illustrated, along with the cross section plan plane. In Figure 3, the slope of the road is exaggerated for clarity.

[0036] The cross-sectional plan is obtained by planning each position along the line parallel to the center of the road shown in Figure 2, taking into account the degree of inclination of the slope that slopes downward from the elevation of the road center toward both ends of the road. For example, when planning the cross-sectional plan of a road, it is generally common to design it so that it slopes downward from the center of the road toward the ends of the road at a predetermined degree.

[0037] For example, in the cross-sectional plan shown in Figure 3, the elevation decreases from the elevation of the road center at point a in the longitudinal plan shown in Figure 2, along an inclined surface that slopes downward at a predetermined gradient toward both ends of the road, down to point a1. Then, the elevation decreases along a connecting surface that connects point a1 to the left and right ends of the road, down to the left and right ends of the road. Therefore, when repairs are carried out based on the cross-sectional plan, the surface layer of the asphalt pavement formed at the repair site and the concrete sections at the left and right ends of the road are connected without any step difference. Note that the cross-sectional plan shown in Figure 3 is an example of a cross-sectional plan, and the method of cross-sectional planning is not limited to this. Therefore, the cross-sectional plan may be designed, for example, so that an inclined surface that slopes downward at multiple different gradients toward the ends of the road is connected from the road center toward the ends of the road.

[0038] By connecting the cross-sectional plan planes at each position along the line parallel to the center of the road, obtained as described above, in the longitudinal direction, a repair plan plane (3D design plane data) for repairing the road surface is acquired.

[0039] In the repair planning phase, the data can be converted into a three-dimensional TIN model (irregular triangular network), which is a collection of triangular planes connected by vertices at each point designed by the longitudinal and transverse plan. This allows for the deriving of data corresponding to the latitude, longitude, and elevation of each point on the road surface. Even if the points in the survey area have not been obtained through the longitudinal and transverse plan, it is still possible to derive data corresponding to the latitude, longitude, and elevation of each point.

[0040] Specifically, in Figure 4, if points A1, A2, and A3 are obtained through longitudinal and transverse planning, they are converted into a three-dimensional TIN model, which is a collection of triangular planes connected with points A1, A2, and A3 as vertices. Points a1 and a2, which are located on linear survey points, are assumed to be inside the triangular plane and lie on a plane passing through points A1, A2, and A3, and data corresponding to the elevation at points a1 and a2 are derived.

[0041] The following describes a specific example of how to create 3D design surface data, specifically how to create 3D plan surface data showing the repair plan surface around a manhole.

[0042] Figure 5(a) is a plan view of a two-lane road at the time of repair work commencement, with a manhole installed in the upper lane. Figure 5(b) is an enlarged view of the area around the manhole at the time of repair work commencement. Figure 5(b) shows some data regarding the unevenness of the road surface around the manhole. In this embodiment, we will describe the case where the elevations of two planar positions N1 and N2 located on the outside of the road with respect to the manhole are n1 meters and n2 meters, and the elevations of two planar positions N3 and N4 located on the inside of the road with respect to the manhole are n3 meters and n4 meters.

[0043] Figure 6 is a schematic diagram showing the elevation around the manhole, and shows the elevation of each point shown in Figure 5(b). In this embodiment, we will describe the case where the elevation at planar position N1 is t1 cm higher than the elevation T1 of the manhole, the elevation at planar position N2 is t2 cm lower than the elevation T1 of the manhole, the elevation at planar position N3 is t3 cm higher than the elevation T1 of the manhole, and the elevation at planar position N4 is t4 cm higher than the elevation T1 of the manhole.

[0044] Thus, if the elevation of planar positions N1 to N4 around the manhole is lower than the elevation T1 of the manhole, 3D design surface data is created to minimize this elevation difference. Figures 7(a) to 7(c) show the design method for the area around the manhole, which includes the 3D design surface data.

[0045] For example, in the 3D design plane data A shown in Figure 7(a), the manhole elevation T1 is kept unchanged, and the repair plan plane is created so that the elevation of planar positions N1 to N4 is slightly higher than the manhole elevation T1. For example, in the 3D design plane data A, the gradient between N1 and N2 and the gradient between N3 and N4 are the same constant gradient, and if N2 and N3 are connected, the gradient from N1 to N4 is the same constant gradient.

[0046] In the 3D design plane data B shown in Figure 7(b), the repair plan plane is created such that the elevation of the manhole T1 remains unchanged, but the elevation of the planar positions N1 to N4 is slightly lower than the elevation of the manhole T1. For example, in the 3D design plane data A, the gradient between N1 and N2 and the gradient between N3 and N4 are the same constant gradient, and if N2 and N3 are connected, the gradient from N1 to N4 is the same constant gradient.

[0047] In the 3D design plane data C shown in Figure 7(c), the manhole elevation T1 remains unchanged, but the repair plan plane is created such that the elevation at planar positions N1-N2 is slightly lower than the manhole elevation T1, and the elevation at planar positions N3-N4 is slightly lower than the manhole elevation T1.

[0048] As shown in Figures 7(a) to 7(c), when repair plans for eliminating road surface irregularities around manholes are created based on different repair methods, the resulting repair plans will be different from each other. Furthermore, when working on long-span roads, it is desirable for the road gradient of the repair plan to be the same and constant in all areas, either longitudinally or transversely, to ensure flatness. However, when there are ancillary structures such as manholes, the gradient may be adjusted locally to match the elevation of the ancillary structures, resulting in distorted shapes as shown in Figures 7(a) and 7(b).

[0049] Figures 7(a) to 7(c) show the design method for the area around the manhole, but similarly, if areas other than the area around the manhole are created based on different repair methods, the resulting repair plans will be different.

[0050] The designated information receiving unit 12 receives and stores designated information regarding linear survey points on the road surface of the road specified by the operation unit 3. Specifically, when the operation unit 3 is operated in the 3D design surface data displayed on the display screen 5, the designated information receiving unit 12 stores designated information regarding those linear survey points.

[0051] In this embodiment, to investigate the flatness of the road surface, a linear survey point A1 is designated along a position a1 100 cm from the center of the lane towards the shoulder, as shown in Figure 8, or a linear survey point A2 is designated along a position a2 where the outer wheel passes in the road lane. For example, the International Roughness Index can be calculated if a longitudinal profile is created based on data corresponding to the latitude, longitude, and elevation of each point in a single linear survey point.

[0052] Thus, when a linear survey location A1 is specified, the designated information receiving unit 12 receives designated information regarding a starting point 1, an ending point 1, and a linear route between starting point 1 and ending point 1. Furthermore, when a linear survey location A2 is specified, the designated information receiving unit 12 receives designated information regarding a starting point 2, an ending point 2, and a linear route between starting point 2 and ending point 2.

[0053] The method for specifying linear survey points is arbitrary; for example, the latitude and longitude of the starting point and the ending point may be specified numerically, and the path between them may be specified as a straight line. Alternatively, on the screen where the 3D design surface data is displayed on display screen 5, the starting point and ending point may be specified as points, and the path between them may be specified as a straight line.

[0054] The profile data derivation unit 13 derives data corresponding to the elevation at multiple locations on the survey site included in the 3D design surface data to create road surface profile data, i.e., a longitudinal profile (showing changes in road surface height). In this embodiment, the longitudinal profile of the road surface includes data corresponding to the latitude, longitude, and elevation of the starting point, data corresponding to the latitude, longitude, and elevation of the ending point, and data corresponding to the latitude, longitude, and elevation at equal intervals along the path between the starting point and the ending point.

[0055] In this embodiment, the profile data derivation unit 13 extracts data at intervals of 25 cm or less (in this embodiment, at equal intervals of 25 cm) along the path between the start point and the end point to create a longitudinal profile of the road surface. The interval at which data is extracted along the path between the start point and the end point can be set arbitrarily.

[0056] Specifically, the profile data derivation unit 13 derives the latitude and longitude of each point at predetermined intervals along the path between the starting point and the ending point, based on the latitude and longitude of the starting point and the latitude and longitude of the ending point, and also derives the elevation of each of those points. In other words, the profile data derived by the profile data derivation unit 13 includes data on the latitude, longitude, and elevation of each point at predetermined intervals on the survey site. The profile data shows the cross-section (change in road surface height) along the longitudinal direction of the road.

[0057] The longitudinal profile created by the profile data derivation unit 13 includes data corresponding to the latitude, longitude, and elevation at equal intervals along the linear survey points, as shown in Figure 9. In Figure 9, a, b, and c are numerical values ​​representing latitude, longitude, and elevation, respectively. In Figure 9, data NO.1 corresponds to the latitude, longitude, and elevation at the starting point, data NO.n corresponds to the latitude, longitude, and elevation at the ending point, and data NO.2 to NO.n-1 correspond to the latitude, longitude, and elevation at equal intervals along the path between the starting and ending points.

[0058] The evaluation value calculation unit 14 calculates an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation unit 13. In this embodiment, the International Roughness Index (IRI), which expresses the unevenness of the road surface as an index for evaluating the ride comfort of an automobile, is used as the evaluation value for evaluating flatness.

[0059] The calculation of IRI values ​​in the evaluation value calculation unit 14 is generally performed by a computer using a calculation program based on road surface profile data. A typical example of such a calculation program is software called Proval. For example, the IRI value can be calculated if a longitudinal profile is created based on data corresponding to the latitude, longitude, and height of each point in a single linear survey area.

[0060] The flatness determination unit 15 determines the flatness of the surveyed area based on the IRI value calculated by the evaluation value calculation unit 14. The flatness determination unit 14 determines that the flatness is better the smaller the IRI value. In this embodiment, the flatness determination unit 14 determines that the flatness is good when the IRI value is 3 or less.

[0061] A specific example of the evaluation performed by the flatness determination unit 15 is as follows. When the IRI value is approximately 0 (perfectly flat) to 3 mm / m: Damage level: Minor (desirable maintenance level). Equivalent to newly laid pavement. Surface irregularities are not noticeable. (For a good asphalt pavement, the IRI value is approximately 1.4-2.4 mm / m)

[0062] If the IRI value is approximately 3-8 mm / m: Damage level: Moderate (repair required). This indicates a significant deterioration of older pavement.

[0063] If the IRI value is approximately 8 mm / m or higher: Damage Level: Severe (Immediate repair required) This condition occurs when the pavement is old and has deteriorated, resulting in a continuous series of clear damages.

[0064] As described above, it was found that when repair plan surfaces for eliminating road surface irregularities around manholes are created based on different repair methods, different repair plan surfaces are produced. Therefore, even when the same survey location is specified in 3D design surface data A, B, and C, as shown in Figures 10(a) to 10(c), the profile data on that survey location will differ for each of the 3D design surface data A, B, and C, and similarly, the IRI values ​​calculated from that profile data will also differ for each of the 3D design surface data A, B, and C.

[0065] In the 3D design surface data A, B, and C shown in Figures 10(a) to 10(c), the IRI values ​​calculated from the profile data on the surveyed area are, respectively, C A , C B , C C Therefore, the flatness of the surveyed area can be determined by the magnitude of its IRI value.

[0066] For example, if the IRI values ​​of the three 3D design surface data A, B, and C are C A <C B <C C If this is the case, then when road paving work is carried out based on 3D design surface data A, B, and C, the flatness of the surveyed area of ​​the paving work will be best with 3D design surface data A and worst with 3D design surface data C. In other words, for example, if the IRI value of the 3D design surface data is 2.994, then carrying out paving work based on that 3D design surface data will result in good flatness at the surveyed area. On the other hand, if the IRI value of the 3D design surface data is 4.232, then carrying out paving work based on that 3D design surface data will result in poor flatness at the surveyed area, and despite the paving work being carried out, the road surface will be so flat that repairs will be necessary.

[0067] In this way, by creating multiple repair plan surfaces to eliminate road surface irregularities around manholes, and calculating IRI values ​​based on profile data of the same survey location on those repair plan surfaces (3D design surface data), it is possible to evaluate the flatness of the survey location when paving work is carried out based on those repair plan surfaces at the stage when the repair plan surfaces are created.

[0068] In other words, by comparing the IRI values ​​of the surveyed locations in each repair plan—for example, whether it is better to adjust the road surface to the height of the manhole without changing its height, or to raise or lower the height of the manhole and then adjust the road surface to the height of the changed manhole—it is possible to evaluate which repair plan is better before carrying out road paving work.

[0069] In addition, while the 3D design surface data A, B, and C shown in Figures 10(a) to 10(c) compare the magnitude of the IRI value at one survey location, it is also possible to compare the magnitude of the IRI values ​​at multiple survey locations in the 3D design surface data A, B, and C.

[0070] As explained above, when evaluating 3D design surface data, if the thickness of the newly laid layer is emphasized as in the conventional method, the flatness of the road surface after paving work may be poor. In contrast, by emphasizing the flatness of the road surface after paving work, it is possible to reliably ensure good flatness of the road surface after paving work.

[0071] If the road surface is not level after paving, cars will bounce and jolt, causing the pavement to become uneven. Even slight wear and tear will cause the depressions to widen with each bounce, shortening the lifespan of the road surface. Conversely, if the road surface is level after paving, cars will not bounce, thus extending the lifespan of the road surface.

[0072] If the road surface is uneven after paving, vehicles will have to travel on a bumpy road, producing loud noises day and night, causing noise pollution for nearby residents. This is especially noticeable with trucks, as the worse the road surface is, the louder the cargo in the truck bed rattles. Conversely, if the road surface is smooth after paving, noise can be reduced.

[0073] Vehicles perform better in terms of fuel efficiency when traveling on flat roads with less friction. Therefore, if the road surface is uneven after paving work, it worsens the vehicle's fuel efficiency, leading to increased fuel consumption and emissions, which contribute to environmental degradation around the road and global warming. Conversely, if the road surface is flat after paving work, it is possible to prevent a decrease in vehicle fuel efficiency.

[0074] The method for determining flatness in the flatness determination system 1 of this embodiment will be explained with reference to Figure 11.

[0075] In step S1, the area to be paved is supplied to the flatness determination device 2 with separately created 3D design surface data (repair plan surface). The 3D design surface data receiving unit 11 receives the 3D design surface data and stores it in the 3D design surface data storage unit 11a.

[0076] In step S2, the operation unit 5b is operated, which specifies linear survey points on the road surface of the 3D design plane data. The designation information receiving unit 12 receives designation information about the survey points specified based on the operation of the operation unit 3 and stores that designation information.

[0077] In step S3, the profile data derivation unit 14 derives profile data on the survey area based on the 3D design surface data.

[0078] In step S4, the evaluation value calculation unit 14 calculates the IRI value for the surveyed area based on the profile data.

[0079] In step S5, the flatness determination unit 15 determines the flatness of the surveyed area based on the IRI value.

[0080] The flatness determination system 1 of this embodiment includes a 3D design surface data storage unit 11a that stores 3D design surface data of the road surface used when performing paving work, an operation unit 3 that specifies an inspection location on the road surface indicated by the 3D design surface data stored in the 3D design surface data storage unit 11a, a profile data derivation unit 13 that derives profile data corresponding to the elevation at multiple locations on the inspection location specified by the operation unit 3 based on the 3D design surface data stored in the 3D design surface data storage unit 11a, an evaluation value calculation unit 14 that calculates an IRI value for evaluating flatness based on the profile data derived by the profile data derivation unit 13, and a flatness evaluation unit 15 that determines the flatness of the inspection location based on the IRI value calculated by the evaluation value calculation unit 14.

[0081] The flatness determination method of this embodiment comprises: a 3D design surface data acquisition step for acquiring 3D design surface data of the road surface used when performing paving work; a survey location designation step for specifying survey locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step; a profile data derivation step for deriving profile data corresponding to the elevation at multiple locations on the survey locations specified in the survey location designation step, based on the 3D design surface data acquired in the 3D design surface data acquisition step; an evaluation value calculation step for calculating an IRI value for evaluating flatness based on the profile data derived in the profile data derivation step; and a flatness determination step for determining the flatness of the survey locations based on the IRI value calculated in the evaluation value calculation step.

[0082] The flatness determination program of this embodiment, when loaded into a computer, includes a 3D design surface data receiving unit 11 that receives 3D design surface data of the road surface used when performing paving work, a designation information receiving unit 12 that receives designation information that specifies the survey locations on the road surface indicated by the 3D design surface data received by the 3D design surface data receiving unit 11, a profile data derivation unit 13 that derives profile data corresponding to the elevation at multiple locations on the survey locations specified by the designation information received by the designation information receiving unit 12, based on the 3D design surface data received by the 3D design surface data receiving unit 11, an evaluation value calculation unit 14 that calculates an IRI value for evaluating flatness based on the profile data derived by the profile data derivation unit 13, and a flatness determination unit 15 that evaluates the flatness of the survey locations based on the IRI value calculated by the evaluation value calculation unit 14.

[0083] As a result, the flatness determination system 1, flatness determination method, and flatness determination program of this embodiment can determine the flatness of the road surface before paving work is carried out, based on the three-dimensional design surface data of the road surface used when performing paving work.

[0084] Although embodiments of the present invention have been described above, the specific configuration of each part is not limited to the embodiments described above, and various modifications are possible without departing from the spirit of the present invention.

[0085] In the above embodiment, a method for determining flatness was described, which involves acquiring 3D design surface data (S1), specifying the inspection area (S2), deriving profile data (S3), calculating evaluation values ​​(S4), and determining flatness (S5). However, the method is not limited to this.

[0086] A modified example of the above embodiment is an evaluation value calculation method which involves acquiring 3D design surface data (S1), specifying the survey location (S2), deriving profile data (S3), and calculating the evaluation value (S4). The same applies to the evaluation value calculation system and evaluation value calculation program related to this modified example.

[0087] This modified evaluation value calculation system 1 includes a 3D design surface data storage unit 11a that stores 3D design surface data of the road surface used when performing paving work, an operation unit 3 that specifies the survey location on the road surface indicated by the 3D design surface data stored in the 3D design surface data storage unit 11a, a profile data derivation unit 13 that derives profile data corresponding to the elevation at multiple locations on the survey location specified by the operation unit 3 based on the 3D design surface data stored in the 3D design surface data storage unit 11a, and an evaluation value calculation unit 14 that calculates an IRI value for evaluating flatness based on the profile data derived by the profile data derivation unit 13.

[0088] The evaluation value calculation method of this modified example comprises: a 3D design surface data acquisition step of acquiring 3D design surface data of the road surface used when performing paving work; a survey location designation step of specifying survey locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step; a profile data derivation step of deriving profile data corresponding to the elevation at multiple locations on the survey locations specified in the survey location designation step, based on the 3D design surface data acquired in the 3D design surface data acquisition step; and an evaluation value calculation step of calculating an IRI value for evaluating flatness based on the profile data derived in the profile data derivation step.

[0089] The evaluation value calculation program in this modified example, when loaded into a computer, causes the computer to function as: a 3D design surface data receiving unit 11 that receives 3D design surface data of the road surface used when performing paving work; a designation information receiving unit 12 that receives designation information that specifies survey locations on the road surface indicated by the 3D design surface data received by the 3D design surface data receiving unit 11; a profile data derivation unit 13 that derives profile data corresponding to the elevation at multiple locations on the survey locations specified by the designation information received by the designation information receiving unit 12, based on the 3D design surface data received by the 3D design surface data receiving unit 11; and an evaluation value calculation unit 14 that calculates an IRI value for evaluating flatness based on the profile data derived by the profile data derivation unit 13.

[0090] Therefore, the evaluation value calculation system, evaluation value calculation method, and evaluation value calculation program of this modified example can calculate an evaluation value for determining the flatness of a surveyed area based on the 3D design surface data of the road surface used when performing paving work. As a result, it is possible to determine the flatness of the road surface as it would be if paving work were performed, based on the 3D design surface data, before performing paving work on the road surface.

[0091] A modified example of the above embodiment is a profile data derivation method which involves acquiring 3D design surface data (S1), specifying the survey location (S2), and deriving profile data (S3) to derive profile data. The same applies to the profile data derivation system and profile data derivation program related to this modified example.

[0092] The profile data derivation system 1 of this modified example comprises a 3D design surface data storage unit 11a that stores 3D design surface data of the road surface used when performing paving work, an operation unit 3 that specifies the survey location on the road surface indicated by the 3D design surface data stored in the 3D design surface data storage unit 11a, and a profile data derivation unit 13 that derives profile data corresponding to the elevation at multiple locations on the survey location specified by the operation unit 3, based on the 3D design surface data stored in the 3D design surface data storage unit 11a.

[0093] The modified method for deriving profile data in this document comprises: a 3D design surface data acquisition step for acquiring 3D design surface data of the road surface used when performing paving work; a survey location designation step for specifying survey locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step; and a profile data derivation step for deriving profile data corresponding to the elevation at multiple locations on the survey locations specified in the survey location designation step, based on the 3D design surface data acquired in the 3D design surface data acquisition step.

[0094] The profile data derivation program of this modified version, when loaded into a computer, causes the computer to function as: a 3D design surface data receiving unit 11 that receives 3D design surface data of the road surface used when performing paving work; a designation information receiving unit 12 that receives designation information that specifies survey locations on the road surface indicated by the 3D design surface data received by the 3D design surface data receiving unit 11; and a profile data derivation unit 13 that derives profile data corresponding to the elevation at multiple locations on the survey locations specified by the designation information received by the designation information receiving unit 12, based on the 3D design surface data received by the 3D design surface data receiving unit 11.

[0095] As a result, the profile data derivation system, profile data derivation method, and profile data derivation program related to this modified example can derive profile data of the surveyed area based on the 3D design surface data of the road surface used when performing paving work. Therefore, before performing paving work on the road surface, it is possible to determine the flatness of the road surface based on the 3D design surface data as it would be if paving work were performed.

[0096] In the above embodiment, the International Roughness Index (IRI value) is used as an evaluation value for evaluating flatness, but it is not limited to this. For example, the 3mσ value (3-meter sigma value) or other flatness σ values ​​may be used as an evaluation value for evaluating flatness.

[0097] In the above embodiment, the International Roughness Index is calculated based on road surface profile data at a predetermined distance from the center of the lane towards the shoulder or at the position where the outer wheel passes in the road lane. However, the Half-Car Roughness Index (HRI) or the average IRI (MRI) of the left and right wheel travel positions may be calculated based on the longitudinal profile of the road surface at a predetermined distance from the center of the lane towards the shoulder, at the position where the outer wheel passes in the road lane, and at the position where the inner wheel passes in the road lane.

[0098] In the above embodiment, we described a case in which, before performing road paving work, the flatness of multiple 3D design surface data (repair plan surfaces) for eliminating road surface irregularities around manholes is determined by comparing the IRI values ​​of the surveyed locations in the multiple 3D design surface data. However, the embodiment is not limited to this. For example, in paving work at an intersection where a main line and a secondary line intersect, it is also possible to evaluate the flatness of the connection point between the main line and the secondary line before performing road paving work. By creating multiple 3D design surface data with different ways of connecting the main line and the secondary line, it is possible to evaluate how the flatness changes depending on the connection method, or which connection method is best, before performing road paving work.

[0099] In the above embodiment, profile data is created by deriving data corresponding to latitude, longitude, and elevation at equal intervals along a linear survey area. However, the data corresponding to latitude, longitude, and elevation at multiple locations along a linear survey area is not limited to data at equal intervals.

[0100] Furthermore, in the above embodiment, profile data was generated using software called Proval, for example, but other software besides Proval can be used to analyze the profile data.

[0101] In the above embodiment, the data is converted into a three-dimensional TIN model (irregular triangular network), which is a collection of triangular planes, to derive data corresponding to the latitude, longitude, and height of each point in the linear survey area. However, as shown in Figure 12, adjacent regions may be formed on both sides of the linear survey area, and data corresponding to the latitude, longitude, and height of each point in the linear survey area may be derived based on the point cloud data within these adjacent regions. In Figure 12, if points A1, A2, and A3 are obtained by the longitudinal and transverse plan, for points a1 and a2 on the linear survey area, point cloud data (one or more point cloud data) located near the points on the linear survey area may be selected from the point cloud data within the adjacent region, and data corresponding to the latitude, longitude, and height of each point in the linear survey area may be derived based on that point cloud data.

[0102] For example, data corresponding to the height of point a1 on a linear survey area may be derived based on the average height of points A1 and A2, and data corresponding to the height of point a2 may be derived based on the average height of points A1 and A3. The method for deriving data corresponding to the height of a point on a linear survey area based on point cloud data near a point on the linear survey area selected from the point cloud data within the adjacent area is not limited to this. The width of the adjacent areas on both sides of the linear survey area can be set arbitrarily. [Explanation of Symbols]

[0103] 1. Flatness determination system 3 Control section 11. 3D design surface data receiving unit (3D design surface data receiving means) 11a 3D design surface data storage unit (3D design surface data storage means) 12 Designated Information Reception Department 13. Profile data extraction unit (profile data extraction means) 14. Evaluation Value Calculation Unit (Evaluation Value Calculation Means) 15. Flatness evaluation unit (flatness evaluation means)

Claims

1. A 3D design surface data storage means for storing 3D design surface data of a road surface used when performing paving work, A survey location designation means for designating a survey location on the road surface indicated by the three-dimensional design surface data stored in the three-dimensional design surface data storage means, A profile data derivation system characterized by comprising: a profile data derivation means that converts the three-dimensional design surface data stored in the three-dimensional design surface data storage means into an irregular triangular network which is a collection of triangular planes connected with each point designed by the longitudinal and transverse plan as its vertices, and derives profile data corresponding to the elevation at multiple locations on the survey location specified by the survey location designation means based on the irregular triangular network.

2. A step of acquiring 3D design surface data for a road surface used when performing paving work, A survey location designation step, which specifies the survey locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step, A profile data derivation method characterized by comprising: converting the three-dimensional design surface data acquired in the three-dimensional design surface data acquisition step into an irregular triangular network which is a collection of triangular planes connected with each point designed by the longitudinal and transverse plan as vertices, and deriving profile data corresponding to the elevation at multiple locations on the survey location specified in the survey location specification step based on the irregular triangular network.

3. When read into a computer, the computer A means for receiving 3D design surface data of a road surface used when performing paving work. A designation information receiving means that receives designation information to specify a survey location on the road surface indicated by the three-dimensional design surface data received by the three-dimensional design surface data receiving means, A profile data derivation program characterized by converting the 3D design surface data received by the 3D design surface data receiving means into an irregular triangular network, which is a collection of triangular planes connected with each point designed by the longitudinal and transverse plan as its vertices, and then functioning as a profile data derivation means that derives profile data corresponding to the elevation at multiple locations on the survey site specified by the specified information received by the specified information receiving means, based on the irregular triangular network.

4. A three-dimensional design surface data storage means for storing three-dimensional design surface data of a road surface used when performing paving work, A survey location designation means for designating a survey location on the road surface indicated by the three-dimensional design surface data stored in the three-dimensional design surface data storage means, A profile data derivation means converts the three-dimensional design surface data stored in the three-dimensional design surface data storage means into an irregular triangular network, which is a collection of triangular planes connected by points designed by the longitudinal and transverse plan, and derives profile data corresponding to the elevation at multiple locations on the survey location specified by the survey location designation means based on the irregular triangular network. An evaluation value calculation system characterized by comprising an evaluation value calculation means for calculating an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means.

5. A step of acquiring three-dimensional design surface data for a road surface used when performing paving work, A survey location designation step, which specifies the survey locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step, A profile data derivation step involves converting the 3D design surface data acquired in the 3D design surface data acquisition step into an irregular triangular network, which is a collection of triangular planes connected by points designed by the longitudinal and transverse plan as vertices, and deriving profile data corresponding to the elevation at multiple locations on the survey location specified in the survey location designation step based on the irregular triangular network, An evaluation value calculation method characterized by comprising: an evaluation value calculation step of calculating an evaluation value for evaluating flatness based on the profile data derived in the profile data derivation step.

6. By being read into a computer, the computer, A means for receiving 3D design surface data of a road surface used when performing paving work. A designation information receiving means that receives designation information to specify a survey location on the road surface indicated by the three-dimensional design surface data received by the three-dimensional design surface data receiving means, A profile data derivation means that converts the 3D design surface data received by the 3D design surface data receiving means into an irregular triangular network, which is a collection of triangular planes connected with each point designed by the longitudinal and transverse plan as its vertices, and derives profile data corresponding to the elevation at multiple locations on the survey site specified by the specified information received by the specified information receiving means, based on the irregular triangular network. An evaluation value calculation program characterized by functioning as an evaluation value calculation means for calculating an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means.

7. A three-dimensional design surface data storage means for storing three-dimensional design surface data of a road surface used when performing paving work, A survey location designation means for designating a survey location on the road surface indicated by the three-dimensional design surface data stored in the three-dimensional design surface data storage means, A profile data derivation means converts the three-dimensional design surface data stored in the three-dimensional design surface data storage means into an irregular triangular network, which is a collection of triangular planes connected by points designed by the longitudinal and transverse plan, and derives profile data corresponding to the elevation at multiple locations on the survey location specified by the survey location designation means based on the irregular triangular network. An evaluation value calculation means calculates an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means, A flatness determination system characterized by comprising a flatness evaluation means for determining the flatness of an inspection site based on an evaluation value calculated by the evaluation value calculation means.

8. A step of acquiring three-dimensional design surface data for a road surface used when performing paving work, A survey location designation step, which specifies the survey locations on the road surface indicated by the 3D design surface data acquired in the 3D design surface data acquisition step, A profile data derivation step involves converting the 3D design surface data acquired in the 3D design surface data acquisition step into an irregular triangular network, which is a collection of triangular planes connected by points designed by the longitudinal and transverse plan as vertices, and deriving profile data corresponding to the elevation at multiple locations on the survey location specified in the survey location designation step based on the irregular triangular network, An evaluation value calculation step for calculating an evaluation value for evaluating flatness based on the profile data derived in the profile data derivation step, A method for determining flatness, characterized by comprising: a flatness evaluation step for determining the flatness of the surveyed area based on the evaluation value calculated in the evaluation value calculation step.

9. By being loaded into a computer, the computer, A means for receiving 3D design surface data of a road surface used when performing paving work. A designation information receiving means that receives designation information to specify a survey location on the road surface indicated by the three-dimensional design surface data received by the three-dimensional design surface data receiving means, A profile data derivation means that converts the 3D design surface data received by the 3D design surface data receiving means into an irregular triangular network, which is a collection of triangular planes connected with each point designed by the longitudinal and transverse plan as its vertices, and derives profile data corresponding to the elevation at multiple locations on the survey site specified by the specified information received by the specified information receiving means, based on the irregular triangular network. An evaluation value calculation means calculates an evaluation value for evaluating flatness based on the profile data derived by the profile data derivation means. A flatness determination program characterized by functioning as a flatness determination means that evaluates the flatness of an inspection site based on the evaluation value calculated by the evaluation value calculation means.

Images