JPH11222808A - Road level difference measurement data analyzing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform automatic analysis and display data regarding level difference between a structure and a road surface. SOLUTION: Displacement data obtained according to the running distance of a road property measuring device and indicating relative displacement of a road surface to the road property measuring device, obtained about points on a road surface, aligned in the approximate direction of a car width of the road property measuring device; inclination data indicating inclination in the roll direction of the road property measuring device; and a white line position data indicating the position of a white line 6 on the road surface are obtained in advance. A calculation step is provided to calculate difference in a level data indicating a difference in a level between a structure and a road surface through combination of structure position data to indicate the position of a structure 13 on a road surface and measuring point position data to indicate the positions of a plurality of measuring points in the vertical section direction of the road surface. A display step to display a level difference data is provided to analyze the property of the road surface.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for analyzing a step on a road surface using measurement data collected on road surface properties.

[0002]

2. Description of the Related Art A conventional technique will be described with reference to FIG.
According to a conventional traditional method, a step generated in a structure mounting portion and an expansion joint portion of the structure is measured by a worker using a water thread and a scale on site. Use a water thread whose length is defined by the length of the step measurement section. As shown in FIG. 19, the water thread 51 is stretched from the end (point a) of the structure 50 to the end point (point b) of the step measuring section.
The vertical distance (dn) between the road surface 1 and the road surface 52 is represented by a scale 53
Measure and record at predetermined intervals using. And dn
Is the maximum step amount.

[0003] Such a conventional method for measuring a level difference uses a water thread 5
1. Including measurement work by human power using scale 53,
The recording of measurement results and preparation of reports are also performed manually.
It was troublesome.

[0004]

SUMMARY OF THE INVENTION An object of the present invention is to automate an operation of measuring a step between a structure and a road surface.

[0005] More specifically, the present invention uses a road surface property measuring device that automatically measures the state of a road surface, and uses data acquired by such a device and longitudinal surveying point data. Provided is a method for analyzing step data on a road surface.

[0006]

SUMMARY OF THE INVENTION The present invention is directed to a method for measuring the position of a road surface relative to a plurality of points on a road surface obtained by a measuring device moving on the road surface. Tilt data indicating the inclination in the roll direction of the property measuring device itself, previously obtained white line position data indicating the position of the white line on the road surface, and previously obtained structure indicating the position of the structure on the road surface Combining the object position data and the survey point position data indicating the positions of a plurality of survey points in the vertical direction of the road surface, calculating a step data indicating a step between the structure and the road surface, and outputting the step data And a step of analyzing road surface step measurement data. ADVANTAGE OF THE INVENTION According to the method of this invention, the analysis and display of the data obtained by the road surface property measuring apparatus can be automated, and the work can be performed more quickly. The displacement data is normally collected by sensors or the like arranged in the width direction of the measuring device. The displacement data can be collected in association with the moving distance of the measuring device. The measuring device is referred to as a road surface property measuring device in the following specific examples, and a sensor and a camera for collecting the various data described above and a camera for recording a surrounding image as necessary. And a storage device, a data processing device, and the like. The measuring device can be mounted on a self-propelled or passive vehicle. Various data are temporarily stored in the storage device, and are read out from the storage device as needed by the calculation device. The surveying point position data obtained by the method of the present invention represents a physical quantity, and is used as a result of inspection during road construction, in addition to inspection of a road surface finish state, to determine how to proceed with subsequent construction steps. Can be used. The method of the present invention, including the embodiments and modifications described below, can be distributed as a program for performing the method, stored in an appropriate computer-readable medium.

[0007] Further, as one aspect of the present invention, the method further includes a step of displaying an image of the periphery of the road surface obtained when data is collected by the measuring device and the structure position data in association with the step data. be able to. Thus, the confirmation of the surroundings of the road surface by the video can be performed more easily and quickly together with the display of the analysis data.

Further, the calculation step includes a step of obtaining the position coordinates of the white line from the white line position data, and an end of the structure with respect to the displacement data by using the inclination data, the structure position data, and the survey point position data. And performing a coordinate transformation with one point of the part as the origin.

In order to carry out the above method, the present invention provides a displacement data storage device for storing displacement data, a tilt data storage device for storing tilt data, and a white line position data storage device for storing white line position data. A structure position data storage device for storing structure position data, a position data storage device for storing survey point position data, and a data storage device for each of the above structures. The present invention provides a road surface step measurement data analysis display device including an arithmetic device configured to calculate step data indicating the step, and a display device displaying the step data. This device can be basically configured using a computer including an input / output unit, a storage device, a central processing unit, and a display device.

[0010]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The configuration of an embodiment of the present invention will be described.

First, as a prerequisite, measurement data and road surface survey data of a measuring device required for step analysis, in this case, a device called "road surface property measuring device", are stored in a storage medium in a computer-readable form. Thereby, the computer reads these data from the storage medium and executes the level difference analysis. The data can be obtained using a self-propelled or passive type road surface property measuring device.

More specifically, the collection and storage of data
It can be performed as follows. (1) The displacement data of the laser sensor, the vehicle inclination data, the white line position data, and the structure position data input by the operator at the time of measurement are collected by associating the travel distance with the travel distance when the road surface property measuring device travels on the road surface. Collected in association with
Keep it in a file. (2) Similarly, while traveling on the road surface of the road surface property measuring device, the front image of the road surface to be measured is recorded on a video tape for front image,
The frame number (time code) for each fixed distance of the video tape recording the forward video and the traveling distance at that time are collected in association with each other and stored in a file. (3) Only one point on the white line is measured as a survey point on the line in the direction crossing the road surface at the step measurement point, and its height is measured, and the collected height measurement data is stored in a file.

According to the road surface step measurement data analysis program according to the present invention, data is collected as described above and analyzed using the stored data file. (A) Displacement data of the laser sensor, vehicle inclination data, white line position Using the data (calculated by the white line recognition camera) and the position data of the survey points on the white line, the step data calculation process is performed by linking the white line position calculated by the white line recognition camera to the survey points on the white line. (B) At the same time, a display process is performed in which the step condition and the structure position are associated with the traveling distance. (C) In order to view the image of the road surface condition at the structure position and the surrounding situation image, control processing of the VCR loaded with the video tape for the front image is performed.

Here, the control operation of the VCR means that a frame number at a traveling distance corresponding to a structure display position on a step data analysis screen is read from a file, and a frame number at which the structure is photographed is calculated from the number. Then, a command is sent to the VCR to display the video of the frame number. However, a VCR that can be controlled from a computer for both recording for measurement and playback for analysis is used, and has a search function of a designated frame.

The step data of each analysis section calculated and displayed as described above is associated with the front image and the structure position data corresponding to the position based on the traveling distance, so that the step data and the structure in the analysis section are associated with each other. Simultaneously with the display of the object position, the actual condition of the road surface and its surroundings can be viewed as an image.

Next, a method of analyzing road surface step measurement data according to an embodiment of the present invention will be described with reference to FIGS.

In the method for analyzing road surface step measurement data of the present embodiment, processing is performed according to the analysis program shown in FIGS. At the time of the processing, measurement files 100 to 500 having a configuration as shown in FIG. 1 are used. Therefore, first, each of the files 100 to 500 will be described.

In FIG. 1, the measurement environment file 100 includes a measurement identification number, a measurement date and time, a measurement number, a type of road surface,
Data such as measurement location, width, and other measurement conditions input before measurement are stored. Rutting File 200
In the table, displacement data of the laser sensor and vehicle inclinometer data are stored at regular intervals, together with the traveling distance data at that time. The white line recognition file 300 stores left or right white line position data identified from the image of the white line recognition camera together with the traveling distance data at that time at regular intervals. Next, the time code file 400 stores frame numbers (time codes) of video images shot at regular intervals and travel distance data at that time. It should be noted that the video camera is installed facing forward on the vehicle of the road surface property measuring device, and the video deck is installed in the vehicle of the road surface property measuring device.

Finally, in the structure file 500, numerical data (structure data) allocated in advance as position information of the structure mounting portion and the expansion joint portion of the structure, which serve as reference points for the step analysis, are stored. It is stored together with the traveling distance data at that time.

Prior to the description of the road surface level difference measurement data analysis program, an example of a road surface property measuring apparatus will be described with reference to FIG.

On the road surface 5, white lines 6 are drawn on both sides of the lane, and survey points 7 are defined at predetermined intervals on the white line on the right side in the traveling direction of the vehicle. The vehicle 1 on which the necessary equipment is mounted travels using such a line on the road surface 5 as a road surface property measuring device. At the front end of the vehicle 1, a device 2 for measuring a distance between road surfaces and an inclination is attached. The device 2
At both ends, white line recognition cameras 3 are attached to the left and right white lines 6 on the road surface 5, respectively. Further, a device 4 for measuring the traveling distance and a data processing device 8 are installed, and the acquired data is filed in the data processing device in association with the distance.

Here, the laser sensor displacement data, the vehicle inclinometer data, and the white line position data will be further described with reference to FIG. Since the road surface property measuring device is mounted on a vehicle and travels on a road surface, it is hereinafter referred to as a “measuring vehicle”.

The housing 10 of the device 2 for measuring the distance and inclination between road surfaces has 17 laser sensors 11 (No. 1 to No. 1).
17) is installed in the vehicle width direction as a displacement meter, and furthermore, an inclinometer 12 and cameras 3 for white line recognition are installed on the left and right.
Each of the 17 laser sensors Nos. 1 to 17 measures the displacement d1 to d17 of the road surface from the reference surface. Displacement data d1 obtained from each laser sensor No. 1 to 17
To d17 are stored in a file at regular intervals, together with the traveling distance data at that time. The mounting position data and the mounting angle data of each of the laser sensors 1 to 17 required for calculating the rutting shape are known, and thus are stored in a file in advance. The ninth laser sensor No. 9 among the 17 laser sensors 1 to 17 is located at the center of the measuring vehicle 1 in the vehicle width direction, and the mounting position data L1 to L16 irradiate the reference plane of each laser from the center of the Y axis. It represents the distance to the point to be performed. The attachment angle data θ1 to θ4 indicate the angles at which each laser sensor irradiates the reference plane. As the coordinate system, the X axis is set in the direction crossing the road surface, the Y axis is set in the longitudinal direction of the road surface, and the Z axis is set in the height direction.

The inclinometer 12 measures the inclination of the measuring vehicle 1 with respect to the roll direction. Vehicle inclinometer data φk obtained from the inclinometer 12 is stored in a file at regular intervals, together with the traveling distance data at that time. The white line position data represents a white line position calculated by a computer mounted on the measuring vehicle 1 in an image captured by the white line recognition camera 3, and also at every fixed distance interval, together with the traveling distance data at that time. Stored in a file. Since the camera mounting position, angle of view data, and pixel number data necessary for calculating the white line position coordinates from the white line position data are known, they are stored in a file in advance.

Next, the contents of processing by the road surface level difference measurement data analysis program of this embodiment will be described with reference to FIGS. 4 and 5 show an outline of the processing flow, and FIG.
FIG. 9 to FIG. 9 show the flow of the step analysis calculation processing, and FIG. 10 shows the flow of the forward image display control processing.

First, an outline of the processing flow will be described with reference to FIGS. When the program is started, a main title screen is displayed on the display (step S1 in FIG. 4). On the main title screen, it is possible to select which processing item is to be processed according to the designation of the operator. Four processing items, “selection of measurement file”, “input of longitudinal survey point coordinates”, “step analysis”, and “program end” are prepared.

When a processing item is selected (step S2),
The program determines which processing item is selected in step S3 (“measurement file selection”), step S7 (“input longitudinal survey point coordinates”), step S12 in FIG. 5 (“step analysis”), and step S24 in FIG. ("The end of the program")
To judge.

When the process item "select measurement file" is selected, it is determined in step S3 that the process proceeds to step 4. In step 4, a file operation screen is displayed. On the file operation screen, it is possible to select which of a plurality of measurement file sets to use, according to the specification of the operator. When the user selects which measurement file of each set is to be used, the measurement environment file (10 in FIG. 1) is selected by the program according to the selection.
0) is read, and data such as measurement conditions are displayed on the display (step S5). Further, the position of the structure is detected based on the structure file (500 in FIG. 1) (step S6).

If "input of vertical survey point coordinates" is selected as a processing item (step S7), the program proceeds to step S8, and a vertical survey point coordinate input screen (FIG. 1)
2 (b)) is displayed. Next, proceeding to step S9, on the vertical survey point coordinate input screen, the operator selects a step analysis position number, a step analysis distance (corresponding to the length of the water thread), and an analysis direction. The measured Y-coordinates and Z-coordinates of the respective vertical survey points shown in FIG. 12A are input. This vertical survey point data is data representing the height from an arbitrary reference point determined by the operator. The survey point at the step analysis start point is defined as the analysis coordinate origin (0, 0, 0), and the longitudinal survey point data is developed based on the distance. In addition, as shown in FIG. 12A, the traveling distance of each measurement point of the measurement vehicle is associated with the Y coordinate of the vertical measurement point.

In step S10, the program converts the input data (vertical survey point coordinate) into vertical survey point coordinate data lny [i] and vertical survey point coordinate data ln
z [i], and when the input of the vertical survey point data is completed in step 11, the process returns to the main title screen display (step S1 in FIG. 4). Here, i is the vertical surveying point number (the number of the vertical surveying point), lny [i] represents the Y coordinate at the i-th vertical surveying point, and lnz [i] is the i-th vertical surveying point. Represents the Z coordinate.

Alternatively, when "step analysis" is selected as the processing item (step S12 in FIG. 5), the process proceeds to step S13, and first, a step data analysis screen is displayed. Next, proceeding to step S14, the operator selects a step analysis position number, a laser sensor number, and an analysis direction on the step data analysis screen.

The step data analysis screen displays a forward video time code corresponding to the structure position, the laser sensor position from the left or right white line, and the analysis distance (horizontal line) set by the longitudinal survey point coordinate input screen. (Corresponding to the length) can be displayed (see FIG. 13).

In FIG. 13, the step data analysis screen displays a vertical data screen (upper) and a step shape screen (lower) corresponding to each laser sensor number, and the vertical data screen displays vertical data of vertical data. By taking the height and the distance along the horizontal axis, the amount of unevenness in the longitudinal direction corresponding to each laser sensor number is displayed in a graph. The amount of unevenness on the vertical data screen here is determined by the cross-sectional shape (step 114 in FIG.
) Is the distance between the straight line connecting the left and right white line positions and the road surface. Further, the structure position (step position) input at the time of measurement is displayed on the longitudinal data screen (FIG. 13).
reference). The step shape screen displayed below the step vertical data screen has a step amount on the vertical axis, a distance from the structure on the horizontal axis, and a step shape based on the structure (see step 127 in FIG. 3 described later). The calculated result is displayed as a graph.

Next, a step analysis calculation is performed in step S15. Next, if an item “step analysis result list” is selected in step S16, a step analysis result list screen (see FIG. 14) is displayed in step S17, and the step amount and the distance calculated in step S15 are displayed. Displayed in association.

If "end of step analysis result list screen display" is selected in step S18, the process returns to the step data analysis screen display (step S13). When the step data analysis screen is displayed, the operator must select one of the analysis mode screens from “Display step analysis result list”, “End step data analysis screen display”, and “Print”. Can be.

Note that the processing item "program end"
Is selected, the program ends in step S24. If not, the process returns to the main title screen display (step S1 in FIG. 1).

Next, the step analysis calculation in step S15 will be described with reference to FIGS. Step S1
When the step analysis calculation 5 starts, first, the vertical surveying point number i is initialized to zero in step S101 in FIG. Next, in step S102, the longitudinal survey point number i is checked. If i is less than the profile survey score, the program proceeds to step S103; if i is equal to or greater than the profile survey score, the program proceeds to step S1.
Proceeding to step 23, a process for calculating the amount of level difference is performed.

First, the program reads white line position data from the white line recognition file in step S103, and then writes data in step S104 in association with the distance at a preset pitch required for step analysis. At this time, if there is no data at the set pitch,
Use the previous distance data. This data is stored in the step analysis white line recognition file.

Next, in step S105, 17 pieces of displacement data d1 (i) to d17 (i) and inclinometer data φ (i) at the i-th vertical survey point are read from the rutting file. Then, in step S106, the displacement data d1 (i) to d17 (i) are converted into the laser sensor displacement point coordinate system shown in FIG. 3 using the mounting position data L1 to L16 and the angle data θ1 to θ4 of each laser sensor. Are converted to the displacement point data (x1, z1) to (x17, z17). That is, the laser sensor No. at the center on the reference plane of FIG.
Set position 9 as the origin. According to FIG. 3, for example, for displacement point data (x1, z1), x1 = L1 + d1 · co
sθ1, z1 = d1 · sinθ1, and the displacement point data (x5, z5) is x5 = L5, z5 = d5.

Next, in step S107 of FIG. 6, the white line position data at the i-th vertical survey point is read from the white line recognition file. And camera angle of view, white line recognition data, and displacement point data (x1, z1) in the laser displacement point coordinate system
From (x17, z17), the position coordinates of one of the left and right white lines are calculated by a procedure described later (see FIG. 15). The position of the white line is calculated using the same coordinate system as that of the rutted cross section display, and the position of laser sensor No. 9 is used as the origin.

Since the camera mounting position, mounting angle, and angle of view are known in advance, first, in step S108, the horizontal position from the origin (laser sensor No. 9) of the white line position projected on the reference plane from the pixel data for white line recognition. Find the distance (MP (x)).

Next, in step S109, an equation of a straight line passing through two points of the camera mounting position coordinates (CP (x, z)) and the white line position coordinates (MP (x, z)) projected on the reference plane is obtained. Then, in step S110, the outer laser sensor and the inner laser sensor closest to the position of the white line projected on the reference plane are obtained, and a straight line is drawn from each of the laser sensors to the reference plane to obtain an intersection (Pn (x, z)
) And (Pn + 1 (x, z)), and their intersection (Pn
An equation of a straight line passing through two points (x, z) and (Pn + 1 (x, z)) is obtained. Then, in step S111, the intersection of the straight lines obtained in steps S109 and S110 is calculated. The position of this intersection is defined as the white line position MCR (x, z)
And

Next, in step S112, the position coordinates of the white line on the opposite side are calculated from the previously calculated white line position coordinates, the width data, and the measurement point coordinates of the laser sensor according to the following procedure (see FIG. 16).

With the position of the white line on the side obtained earlier as the center,
A circle whose radius is a width and a point whose distance is larger than the width and closest to the center (measurement point of laser sensor (laser No. (n)
)) And the farthest point smaller than the width (Laser No. (n
+1) The point of intersection with the straight line connecting) is the white line position MCL on the opposite side.
(X, z). Next, in step S113, among the displacement point data (x1, z1) to (x17, z17) based on the measurements of the 17 laser sensors arranged in the vehicle width direction, N existing on the white line and between the white lines (Wx1, wz1) to (wxN, wzN)
Set to. However, 1 in ascending order of laser sensor number
~ N.

In step S114, the coordinate axes are set to Wx such that the right and left white lines are horizontal to the reference plane.
1. After rotating by an angle φW about Wz1, the cross-sectional data is vertically moved so that the left and right white line positions coincide with the reference plane, so that the cross-sectional data based on the laser sensor coordinate system reference plane ( Xs1, Zs1) to (XsN, Z
sN) (see FIG. 17).

Next, in step S115, the cross-sectional data (Xs1, Zs
1) to (XsN, ZsN) are stored in the white line reference cross section data file.

Next, in step S116, the coordinate axis rotation angle (φ) is used to convert the data from the laser sensor displacement point coordinate system on the reference plane to the analysis coordinate system by the following equation.
Find c).

## EQU1 ## Rotation angle (φc) = Inclinometer angle (φk) −White line angle (φw)

Next, in step S117, in order to convert from the laser displacement point coordinate system based on the reference plane to the analytic coordinate system, as shown in FIG. 11, the coordinate axes are set around the extreme end (wx1, wz1) displacement point. Displacement point data (wx [1], wz [1] to wx [w] when rotated by an angle φc [i]
[N], wz [N]) are calculated using the rotation matrix.

Then, in step S118, the displacement point data (wx [1], wz [1] to wx [w]
[N], wz [N]), the height of the i-th vertical survey point is 1
nz [i] is added, and the new displacement point coordinates (WX [1],
WZ [1] to WX [N], WZ [N]) are obtained. Furthermore,
In step S119, the new displacement point coordinates (WX [1], W
Z [1] to WX [N], WZ [N]) are sequentially set to step analysis transverse section coordinate data (0X [i], 0Y [i]).

Next, in step S120, the coordinates of the structure point are converted to the origin 0 using the coordinates of the structure point as a reference point for the step analysis, and the cross-sectional data (0X [i], 0Y [i]) is calculated as the difference between the X and Y coordinates from the structure point, and the new coordinates are (WDX1, WDX).
DZ1) to (WDXN, WDZN). Next, in step 121, new coordinates are set to (WDX1, WDZ1) to (WDX1).
N, WDZN) are stored in the step analysis cross section file.

Here, the calculation of the step amount will be described.
First, in step S123, the vertical surveying point number i is initialized to zero. Next, in step S124, the longitudinal survey point number i is checked. If i is smaller than the vertical surveying score N, the program proceeds to step S125. Step S
At 125, the data in the longitudinal direction corresponding to the designated laser sensor number for performing the step analysis is read from the step analysis transverse section file. Next, in step S126, the height data of the structure serving as the reference point of the step analysis is converted into the origin 0 (that is, the end of the structure is expressed as the origin), and the height of the structure is determined for each laser sensor number. The vertical section shape data is calculated in association with the distance from 13 (see FIG. 18). As a result, step shape data in the longitudinal direction based on the structure point is obtained, and the step amount of each point is calculated by the following method (see FIG. 18).

In step S127, a line connecting the structure point (point a) and the end point (point b) of the analysis distance with a straight line is used as a reference line, and a line is drawn from each analysis point to a reference line parallel to the structure. The distance (vertical line) is taken as the step amount of each point. In the program, step amounts d1 to dN corresponding to the distance from the structure are obtained based on the structure point. In the graph of the step shape shown in FIG. 13, the cross-sectional data is drawn from the step amount and the distance.

Next, in steps S128, the step amounts d1 to d
The magnitude of N is compared, and the maximum value Dm is set as the maximum step in the section. Then, steps S127 to S1
The maximum step Dm and the step amounts d1 to dN obtained in step 28 are
Based on the structure point, the file is stored in the step analysis result list file in association with the distance from the structure point.

The maximum step Dm and the steps d1 to dN obtained in steps S127 to S128 are associated with the distance, and the step analysis result list screen (step S17 in FIG. 5).
Will be displayed. These analyzed and calculated result data can be output to a printer as needed (step S21 in FIG. 5).

In the forward image display control process, first, the distance to the photographing position is subtracted from the distance to the photographing position corresponding to the Y coordinate of the currently displayed cross section to calculate the traveling distance when the measurement point is photographed. . Then, a time code (frame number) corresponding to the traveling distance is read from the time code file (400 in FIG. 1), and a command for searching for a frame corresponding to the time code is transmitted to the VCR through the communication cable.

In response to this, a VCR capable of performing a frame search searches for and reproduces a specified frame.
Display the video on the monitor. At this time, it is assumed that a video tape for a front image capturing a coordinate position to be displayed is inserted in the VCR. Through such reproduction, the operator can see the road conditions in the vicinity.

Further, the flow of the front image display control will be described with reference to FIG. When the forward image display control is started, first, in step S201 in FIG. 10, the measurement point is photographed based on the distance L indicated by the Y coordinate of the cross section and the distance GAP (known) from the measurement point to the photographing position. The traveling distance R of the measuring vehicle is calculated by R = L-GAP. Subsequently, in step S202, the time code of the video tape deck for the front video at the traveling distance R is read from the corresponding time code file. Then, step S203
Transmits a time code search command corresponding to the read time code to the video tape deck.

[0058]

By using the method of the present invention described above, the displacement of the laser sensor required for step analysis collected by running the road surface property measuring device once on the road surface of the step measurement target section. By combining data, white line position data, vehicle inclination data, structure position data that serves as a reference point for step analysis, and images around the road surface, and position data of survey points in the vertical direction of the road surface,
The step analysis of the road surface is automatically performed, and the state of the step is displayed on the screen and the analysis result is automatically output, so that the work can be sped up.

Further, the images of the road surface periphery are collected in association with the traveling distance of the road surface property measuring device, and when the step is analyzed, the condition of the step analysis road surface or the surroundings can be grasped by this image, so that a photograph or a sketch can be obtained. It is not necessary to create

By adopting the road surface step measurement data analysis method of the present invention, one running of the road surface property
At the time of measurement, the analysis result of the road surface step measurement can be output only by measuring the height of one point on the line in the cross direction of the road surface at each measurement point on the road surface, so that the measurement work and the analysis work can be speeded up. In addition, an image in which the road surface and the surrounding conditions are photographed by the road surface property measuring device is obtained, and the trouble of photographing and sketching at the time of measurement can be omitted.

[Brief description of the drawings]

FIG. 1 is a diagram showing a file configuration example used by a step measurement data analysis program according to a first embodiment of the present invention.

FIG. 2 is a diagram showing an example of a road surface property measuring apparatus for collecting data necessary for road surface step analysis when using the step measurement data analysis program according to the first embodiment of the present invention.

FIG. 3 is a diagram showing the configuration of the rutting measurement device as viewed from the front front. The distance from the center of the Y axis to the irradiation point of the reference plane of each sensor is represented by L1 to L16. d1
To d17 indicate the displacement of each sensor from the reference plane.

FIG. 4 is a diagram illustrating a part of a processing flow of a step measurement data analysis program processing outline according to the first embodiment of the present invention.

FIG. 5 is a diagram showing a part of the processing flow of the step measurement data analysis program according to the first embodiment of the present invention.

FIG. 6 is a flowchart showing a step analysis calculation processing flow in the step measurement data analysis program according to the first embodiment of the present invention.
It is the 1st figure of a figure.

FIG. 7 is a second diagram of the above four diagrams.

FIG. 8 is a third diagram of the above four diagrams.

FIG. 9 is a fourth diagram of the above four diagrams.

FIG. 10 is a diagram showing a forward image display control processing flow in a step measurement data analysis program according to the first embodiment of the present invention.

FIG. 11 is a diagram illustrating conversion into analysis coordinates reflecting vehicle inclination data.

FIG. 12 is a diagram showing an embodiment of a longitudinal survey point coordinate input screen.

FIG. 13 is a diagram illustrating an example of a step data analysis screen (longitudinal data screen, step shape screen).

FIG. 14 is a diagram illustrating an example of a step data analysis result list display.

FIG. 15 is a diagram illustrating an example of white line position coordinate calculation by a white line recognition camera.

FIG. 16 is a diagram illustrating an example of calculating a white line position on a non-measuring side.

FIG. 17 is a diagram illustrating an example of calculating cross-sectional data based on a white line. Since the rutting data is arranged at the position of the white line, the cross-section data is vertically moved so that the left and right white lines are horizontal to the laser sensor reference plane by an angle φW and the height of the white line is zero.

FIG. 18 is a diagram illustrating an example of a method for obtaining longitudinal section shape data and a step amount corresponding to a laser sensor number.

FIG. 19 is a diagram showing a conventional road surface step measurement state.

[Explanation of symbols]

 Reference Signs List 1 vehicle 2 device for measuring distance and inclination between road surfaces 3 camera for white line recognition 4 road surface 5 white line 7 surveying point 8 data processing device 10 today body 11 laser sensor 12 inclinometer 13 structure

Claims (4)

[Claims] 1. Displacement data obtained by a measuring device moving on a road surface and indicating relative displacement of a road surface with respect to the measuring device obtained at a plurality of points on the road surface, and a roll direction of the measuring device itself. Slope data indicating the slope, previously obtained white line position data indicating the position of the white line on the road surface, previously obtained structure position data indicating the position of the structure on the road surface, and road surface longitudinal direction A step of calculating step data indicating a step between the structure and the road surface by combining the survey point position data indicating the positions of the plurality of survey points, and an output step of outputting the step data. Road surface step measurement data analysis method. 2. The method according to claim 1, further comprising a step of displaying an image of the road surface and / or the structure position data obtained when the data is collected by the measuring device in association with the output step data. 1. The road surface level difference analysis method according to 1. 3. The step of calculating the position coordinates of a white line from the white line position data, and calculating the position data of the displacement data using the inclination data, the structure position data, and the survey point position data. Performing a coordinate transformation with one point at an end of the structure as an origin. 4. A displacement data storage device for storing the displacement data, a tilt data storage device for storing the tilt data, a white line position data storage device for storing the white line position data, and storing the structure position data. Using the data stored in the structure position data storage device, the position data storage device storing the survey point position data, and the storage devices described above, the step data indicating the step between the structure and the road surface is calculated. A road surface step measurement data analysis and display device for implementing the road surface step measurement data analysis method according to claim 1, comprising an arithmetic device configured to perform the operation and a display device displaying the step data.