CN111583362A - Visual recording method for detecting asphalt pavement disease condition - Google Patents

Visual recording method for detecting asphalt pavement disease condition Download PDF

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CN111583362A
CN111583362A CN202010363838.2A CN202010363838A CN111583362A CN 111583362 A CN111583362 A CN 111583362A CN 202010363838 A CN202010363838 A CN 202010363838A CN 111583362 A CN111583362 A CN 111583362A
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钱振东
何西西
薛永超
张煜恒
陈磊磊
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Southeast University
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    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
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    • GPHYSICS
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Abstract

本发明公开了一种沥青路面病害状况人工检测的可视化记录方法,其步骤为:根据规范中的病害划分方式,选取近似的边缘形状,建立损坏单元生成规则MATLAB文件;建立人工检测数据中损坏单元的类型数据、尺寸数据、位置数据的Excel记录规则;原始记录表格导入MATLAB,根据类型数据生成损坏单元,根据尺寸数据配置单元大小,根据位置信息生成单元坐标,生成沥青路面百米损坏图示。本发明主要用于沥青路面病害状况人工检测的可视化记录,方便路面病害调查的数据收集和统计,形成人工巡检的路面可视化原始资料。可视化反映沥青路面的实际病害情况,使管理工作者看到直观的路面状况图像,帮助深入了解路面劣化进程,对路面使用性能做出正确评价。

Figure 202010363838

The invention discloses a visual recording method for manual detection of asphalt pavement disease conditions. Excel recording rules for type data, size data, and position data; import the original record table into MATLAB, generate damaged units according to type data, configure unit size according to size data, generate unit coordinates according to location information, and generate a 100-meter damage diagram of asphalt pavement. The invention is mainly used for the visual record of manual detection of asphalt pavement disease conditions, which facilitates the data collection and statistics of pavement disease investigation, and forms the visual original pavement data for manual inspection. Visually reflect the actual disease situation of asphalt pavement, so that management workers can see the intuitive image of pavement condition, help to deeply understand the process of pavement deterioration, and make a correct evaluation of pavement performance.

Figure 202010363838

Description

一种沥青路面病害状况检测的可视化记录方法A Visual Recording Method for Detection of Asphalt Pavement Disease Status

技术领域technical field

本发明属于沥青路面使用状况检测与评价技术领域,用于沥青路面病害状况的人工巡检与数据记录;具体为一种沥青路面病害状况检测的可视化记录方法。The invention belongs to the technical field of asphalt pavement use condition detection and evaluation, and is used for manual inspection and data recording of asphalt pavement disease conditions; in particular, it relates to a visual recording method for asphalt pavement disease condition detection.

背景技术Background technique

现阶段,沥青路面使用状况检测仍然需要大量的人工检测,一般以《公路技术状况评定标准》为指南进行数据采集,数据成果是经过巡检人员二次计算后的“沥青路面损坏调查表”,检测数据成果存在可追溯性差,准确性和稳定性不佳等问题。研究人员与管理人员只能通过单元检测数据的分段计算结果来进行研究与决策,对于沥青路面的实际使用状况缺乏直观具体可视的把握。At this stage, the inspection of the usage condition of asphalt pavement still requires a lot of manual inspection. Generally, the "Highway Technical Condition Evaluation Standard" is used as a guide for data collection. The test data results have problems such as poor traceability, poor accuracy and stability. Researchers and managers can only carry out research and decision-making through the segmental calculation results of unit detection data, and lack an intuitive, concrete and visual grasp of the actual use of asphalt pavement.

发明内容SUMMARY OF THE INVENTION

发明目的:针对以上现有巡检记录方式存在的问题,本发明提出的一种沥青路面病害状况检测数据的可视化记录方法,在不脱离规范要求的前提下,可真实还原沥青路面病害状况,实现评价层面的沥青路面病害状况的数据可视化。如此的记录方法在不增加巡检人员工作量的前提下,保存人工巡检的原始可视化资料,方便了数据的统计和追溯,使管理工作者可以看到一个直观的路面状况图像,提高了路面检测数据的多元化。Purpose of the invention: In view of the above problems existing in the existing inspection recording methods, a visual recording method of asphalt pavement disease condition detection data proposed by the present invention can truly restore the asphalt pavement disease condition on the premise of not departing from the requirements of the specification, and realize Data visualization of asphalt pavement disease status at the evaluation level. Such a recording method saves the original visual data of manual inspection without increasing the workload of the inspection personnel, which facilitates the statistics and traceability of the data, enables management workers to see an intuitive image of the road surface, and improves the performance of the road surface. Diversity of test data.

技术方案:为实现本发明的目的,本发明建立了一种沥青路面病害状况检测的可视化记录方法,算法根据原始检测记录在MATLAB中自动生成沥青路面百米损坏图示,并生成规范所要求的路段统计结果,具体包括下述步骤:Technical solution: In order to achieve the purpose of the present invention, the present invention establishes a visual recording method for the detection of asphalt pavement disease conditions. Statistical results of road sections include the following steps:

(1)根据沥青路面病害类型和程度,选取沥青路面病害单元近似边缘形状,利用MATLAB建立沥青路面损坏类型基本单元。(1) According to the type and degree of asphalt pavement disease, select the approximate edge shape of the asphalt pavement disease unit, and use MATLAB to establish the basic unit of the asphalt pavement damage type.

(2)利用Excel创建“沥青路面损坏状况原始记录表”,损坏单元的类型、程度及中心点位置信息采取下拉菜单方式录入,损坏单元的尺寸信息采取手动方式录入。(2) Use Excel to create the "Original Record Table of Asphalt Pavement Damage Condition", the type, degree and center point position information of damaged units are entered by drop-down menu, and the size information of damaged units is entered manually.

(3)采用MATLAB建立一个100×L的矩形的百米路面单元,L为路面宽度,X方向为行车方向,Y方向为横断面方向,百米路面单元沿X方向划分为上、中、下三部分,用于损坏单元的配置和定位。(3) Use MATLAB to build a 100×L rectangular 100-meter pavement unit, where L is the width of the pavement, the X direction is the driving direction, the Y direction is the cross-sectional direction, and the 100-meter pavement unit is divided into upper, middle and lower along the X direction. Three parts for configuration and positioning of damaged units.

(4)将“沥青路面损坏状况原始记录表”导入MATLAB,配置损坏单元信息,根据损坏单元的类型、程度、中心点位置以及尺寸数据,在百米路面单元上生成对应的损坏单元,建立沥青路面百米损坏图示。(4) Import the "Original Record Table of Asphalt Pavement Damage Status" into MATLAB, configure the damaged unit information, and generate the corresponding damaged unit on the 100-meter pavement unit according to the type, degree, center point position and size data of the damaged unit, and establish the asphalt 100-meter road damage icon.

步骤(1)中,采用MATLAB编写沥青路面损坏类型基本单元生成文件,所需的参数为[X_ZB,Y_ZB,Length,Width,degree],分别代表x坐标,y坐标,长度,宽度以及严重程度,沥青路面损坏单元基本类型分为7大类,其判别标准及基本单元生成方法如下:In step (1), use MATLAB to write the basic unit generation file of asphalt pavement damage type. The required parameters are [X_ZB, Y_ZB, Length, Width, degree], which represent the x-coordinate, y-coordinate, length, width and severity, respectively, The basic types of asphalt pavement damage units are divided into 7 categories, and the judging criteria and basic unit generation methods are as follows:

(1-1)龟裂:裂缝块度介于0.2~0.5m,平均裂缝宽度小于2mm为轻度龟裂;裂缝块度小于0.2m,平均裂缝宽度介于2~5mm为中度龟裂;裂缝块度小于0.2m,平均裂缝宽度大于5mm为重度龟裂。(1-1) Cracking: the crack size is between 0.2 and 0.5m, and the average crack width is less than 2mm, which is a mild crack; the crack size is less than 0.2m, and the average crack width is between 2 and 5mm, which is a moderate crack; The crack size is less than 0.2m, and the average crack width is greater than 5mm as severe cracks.

将病害单元近似转换为四边形,采用MATLAB程序生成蓝色多边形边缘界限,长度为Length,宽度为Width。采用UNIFIND函数生成随机裂缝,生成裂缝块度处于0.2~0.5m与裂缝块度小于0.2m的随机横/纵缝进行网格填充,填充颜色选用以下2种:粉色([1,0.75294,0.79608]),深粉色([1,0.07843,0.57647]),依次表示轻微龟裂、中度/严重龟裂。The diseased cells are approximately converted into quadrilaterals, and the MATLAB program is used to generate the edge boundaries of blue polygons, the length is Length, and the width is Width. Use the UNIFIND function to generate random fractures, and generate random horizontal/longitudinal fractures with a fracture size of 0.2 to 0.5m and a fracture size of less than 0.2m for grid filling. The following two filling colors are selected: pink ([1,0.75294,0.79608] ), dark pink ([1, 0.07843, 0.57647]), indicating slight cracks, moderate/severe cracks.

(1-2)块状裂缝:主要裂缝块度大于1.0m,平均裂缝宽度介于1~2mm为轻度块状裂缝;主要裂缝块度在0.5~1.0m之间,平均裂缝宽度大于2mm为重度块状裂缝。(1-2) Massive cracks: The major cracks are larger than 1.0m in size, and the average crack width is between 1 and 2mm, which are mild massive cracks; the main cracks are between 0.5 and 1.0m in size, and the average crack width is greater than 2mm. Severe blocky cracks.

将病害单元近似转换为矩形,采用MATLAB程序生成蓝色多边形边缘界限,长宽按照记录数据进行配置,长度为Length,宽度为Width。选用绿色虚线向内偏置生成块状裂缝图示,偏置距离分别为0.5m、1m,表示轻度块裂、重度块裂。The diseased unit is approximately converted into a rectangle, and the MATLAB program is used to generate the edge boundary of the blue polygon. The length and width are configured according to the recorded data, and the length is Length and the width is Width. The green dotted line is used to offset inwardly to generate block cracks, and the offset distances are 0.5m and 1m respectively, indicating mild block cracks and severe block cracks.

(1-3)裂缝:纵向裂缝与行车方向基本平行,横向裂缝与行车方向基本垂直,严重程度以裂缝宽度3mm为界,缝宽大于3mm为重度裂缝,小于3mm为轻度裂缝。(1-3) Cracks: longitudinal cracks are basically parallel to the driving direction, and transverse cracks are basically perpendicular to the driving direction.

采用UNIFIND函数编写随机裂缝生成函数,采用长度Length进行单元配置,生成纵/横向裂缝图示。选用绿色线条生成纵向裂缝,选用天蓝色([0,0.74902,1])线条生成横向裂缝。轻度裂缝线宽配置为默认像素,重度裂缝线宽配置为2像素。The random crack generation function is written by the UNIFIND function, and the unit configuration is performed by using the length Length to generate longitudinal/transverse crack diagrams. Use green lines to generate longitudinal cracks, and sky blue ([0,0.74902,1]) lines to generate transverse cracks. The light crack line width is configured as default pixels, and the severe crack line width is configured as 2 pixels.

(1-4)坑槽:轻度坑槽深度小于25mm,或面积小于0.1m2;重度坑槽深度大于25mm,或面积大于0.1m2。(1-4) Pit and groove: the depth of mild pit is less than 25mm, or the area is less than 0.1m2; the depth of severe pit is more than 25mm, or the area is greater than 0.1m2.

一般坑槽的扩散形式呈圆形或椭圆形,面积小于0.1m2,近似于直径小于0.178m。根据坑槽的尺寸Length、Width配置主轴长度,生成橙色([1,0.54902,0])椭圆形边缘界限,轻度坑槽采用红色主轴进行填充,重度坑槽采用蓝色主轴进行填充。Generally, the diffusion form of the pit is circular or elliptical, with an area of less than 0.1m2 and an approximate diameter of less than 0.178m. Configure the length of the main axis according to the dimensions Length and Width of the pit, and generate an orange ([1,0.54902,0]) oval edge boundary. The light pit is filled with the red main shaft, and the heavy pit is filled with the blue main shaft.

(1-5)修补:修补采用矩形换算面积方式,根据尺寸信息Length、Width生成矩形单元,修补单元采用灰色([0.7451,0.7451,0.7451])面填充。(1-5) Repair: The repair adopts the rectangle conversion area method, and the rectangular unit is generated according to the size information Length and Width, and the repair unit is filled with the gray ([0.7451, 0.7451, 0.7451]) surface.

(1-6)其余如泛油、松散等表面缺陷病害,统一采用矩形换算面积及位置信息生成,根据尺寸Length、Width生成蓝色矩形举行,泛油病害单元随机圆圈进行内部填充,松散采用随机菱形进行内部填充。(1-6) For other surface defects such as oil splattering, looseness, etc., the area and position information are uniformly generated by rectangular conversion, and a blue rectangle is generated according to the size Length and Width. The rhombus is filled internally.

(1-7)沉陷、车辙、拥包等表面变形损坏统一采用矩形换算方式,根据尺寸信息Length、Width进行单元配置,生成黑色矩形边界,表面变形病害单元采用红色曲线进行内部填充。(1-7) The surface deformation damage such as subsidence, rutting, and crowding is uniformly used in the rectangular conversion method. The unit is configured according to the size information Length and Width, and a black rectangular boundary is generated. The surface deformation and disease units are filled with red curves.

步骤(2)中,采用Excel表格形式提供原始记录方式,创建“沥青路面损坏状况原始记录表”,其中,病害单元的长度和宽度信息以手动方式录入,病害单元类型、程度以及中心点位置信息通过Excel数据验证方式建立下拉菜单,设置限定选项,选择相应选项录入。In step (2), the original recording method is provided in the form of an Excel table, and an "original record table of asphalt pavement damage conditions" is created, in which the length and width information of the diseased unit is manually entered, and the type, degree and center point position information of the diseased unit are entered. Create a drop-down menu through Excel data validation, set limited options, and select the corresponding option to enter.

创建“沥青路面损坏状况原始记录表”时,病害单元类型限定选项设置如下:龟裂病害、块状裂缝、纵向裂缝、横向裂缝、沉陷病害、车辙病害、波浪拥包、坑槽病害、松散病害、泛油病害、修补病害。When creating the "Asphalt Pavement Damage Condition Original Record Sheet", the disease unit type qualification options are set as follows: Cracking Disease, Block Crack, Longitudinal Crack, Transverse Crack, Subsidence Disease, Rutting Disease, Wave Packing, Pothole Disease, Loose Disease , oily disease, repair disease.

病害位置限定选项设置如下:左侧行车带、右侧行车带、行车道中线、左侧边缘线、右侧边缘线(Y方向);上部、中部、下部(X方向)。The disease location limitation options are set as follows: left driving belt, right driving belt, driving lane center line, left edge line, right edge line (Y direction); upper, middle, lower (X direction).

步骤(3)中,百米路面单元x坐标范围为X∈[-50,50],沿X方向划分为上、中、下三部分,上部坐标范围为X∈[-50,-20],中部坐标范围为X∈[-20,20],下部坐标范围为X∈[20,50]。In step (3), the x coordinate range of the 100-meter pavement unit is X∈[-50, 50], which is divided into upper, middle and lower parts along the X direction, and the upper coordinate range is X∈[-50, -20], The middle coordinate range is X ∈ [-20, 20], and the lower coordinate range is X ∈ [20, 50].

步骤(4)中,沥青路面百米损坏图示由以下步骤确定:In step (4), the 100-meter damage icon of the asphalt pavement is determined by the following steps:

(4-1)采用MATLAB读取“沥青路面损坏状况原始记录表”中的调查数据,读取损坏单元尺寸形状数据raw(i,5),判断损坏单元的计量单位,并提取长度信息“length_i”、宽度信息“width_i”以及程度信息“degree”。(4-1) Use MATLAB to read the survey data in the "Original Record Table of Asphalt Pavement Damage Conditions", read the size and shape data raw(i,5) of the damaged unit, judge the unit of measurement of the damaged unit, and extract the length information "length_i" ", width information "width_i", and degree information "degree".

(4-2)生成损坏单元中心点X坐标:对raw(i,8)所记录的中心点位置信息纵向定位数据进行判断,确定损坏单元的X坐标范围,与损坏单元在百米路面单元上的与绘图幅位(上/中/下部),具体的损坏单元中心点x坐标值矩阵“x_ZB”采用“2(X-Xi)>(length+lengthi)”的间距约束方式生成。(4-2) Generate the X coordinate of the center point of the damaged unit: judge the longitudinal positioning data of the center point position information recorded by raw(i,8), determine the X coordinate range of the damaged unit, and the damaged unit on the 100-meter road unit and the drawing amplitude (upper/middle/lower), the specific damage element center point x coordinate value matrix "x_ZB" is generated using the spacing constraint of "2(X-Xi)>(length+lengthi)".

(4-3)生成损坏单元中心点Y坐标:对raw(i,9)所记录的中心点位置信息横断面定位数据进行判断(左/右侧轮迹带、行车道中线、左/右侧边缘),生成损坏单元的中心点y坐标值矩阵“y_ZB”。(4-3) Generate the Y coordinate of the center point of the damaged unit: judge the cross-sectional positioning data of the center point position information recorded by raw(i,9) (left/right wheel track belt, lane center line, left/right side edge) to generate a matrix "y_ZB" of the y-coordinate value of the center point of the damaged cell.

(4-4)读取损坏单元的类型数据,对raw(i,2)所记录的损坏类型数据进行验证,生成损坏单元类型判断结果矩阵“degree”。(4-4) Read the type data of the damaged unit, verify the damaged type data recorded by raw(i, 2), and generate the damage unit type judgment result matrix "degree".

(4-5)以步骤(13)~(16)所读取的[X_ZB_i,Y_ZB_i,Length_i,Width_i,degree_i]为参数,调用对应MATLAB损坏类型基本单元生成文件,生成沥青路面百米损坏图示。(4-5) Using [X_ZB_i, Y_ZB_i, Length_i, Width_i, degree_i] read in steps (13) to (16) as parameters, call the corresponding MATLAB damage type basic unit to generate a file, and generate a 100-meter damage diagram for asphalt pavement .

有益效果:与现有技术相比,本发明的技术方案具有以下有益技术效果:本发明可辅助检测人员保存原始巡检数据,方便数据的收集与记录,同时真实还原沥青路面病害状况,生成沥青路面百米损坏图示,为沥青路面病害调查的人工检测方式提供了可视化方案。Beneficial effects: Compared with the prior art, the technical solution of the present invention has the following beneficial technical effects: the present invention can assist inspectors to save the original inspection data, facilitate the collection and recording of data, and at the same time truly restore the disease state of the asphalt pavement and generate asphalt The 100-meter damage diagram of the pavement provides a visual solution for the manual detection method of asphalt pavement disease investigation.

附图说明Description of drawings

图1为本发明方法的流程图;Fig. 1 is the flow chart of the method of the present invention;

图2为沥青路面(L=7m)百米路面单元;Figure 2 is a 100-meter pavement unit of asphalt pavement (L=7m);

图3为沥青路面(L=7m)沥青路面百米损坏图示;Figure 3 is a diagram showing the damage of 100 meters of asphalt pavement (L=7m);

图4为沥青路面(L=4m)百米路面单元;Figure 4 is a 100-meter pavement unit of asphalt pavement (L=4m);

图5为沥青路面(L=4m)沥青路面百米损坏图示。Figure 5 is a diagram showing the damage of 100 meters of asphalt pavement (L=4m).

具体实施方式Detailed ways

下面结合附图和实施例对本发明的技术方案进行详细说明,但本发明的保护范围不局限于所述实施例。The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings and embodiments, but the protection scope of the present invention is not limited to the embodiments.

实施例1Example 1

将本发明实施于宽度为7米的某双车道沥青路面病害状况人工巡检中:The present invention is implemented in the manual inspection of the disease condition of a two-lane asphalt pavement with a width of 7 meters:

1、根据沥青路面病害类型和程度,选取沥青路面病害单元近似边缘形状,利用MATLAB建立沥青路面病害类型基本单元,编写沥青路面病害类型基本单元生成文件,设置输入参数为[X_ZB,Y_ZB,Length,Width,degree],分别代表x坐标,y坐标,长度,宽度以及严重程度,沥青路面损坏单元基本类型分为7大类,各自基本单元生成方法如下:1. According to the type and degree of asphalt pavement disease, select the approximate edge shape of the asphalt pavement disease unit, use MATLAB to establish the basic unit of the asphalt pavement disease type, write the basic unit generation file of the asphalt pavement disease type, and set the input parameters as [X_ZB, Y_ZB, Length, Width, degree], representing the x-coordinate, y-coordinate, length, width and severity, respectively. The basic types of asphalt pavement damage units are divided into 7 categories, and the generation methods of the respective basic units are as follows:

(1)龟裂:将病害单元近似转换为四边形,采用MATLAB程序生成蓝色多边形边缘界限,长度为Length,宽度为Width。采用UNIFIND函数生成随机裂缝,生成裂缝块度处于0.2~0.5m与裂缝块度小于0.2m的随机横/纵缝进行网格填充,填充颜色选用以下2种:粉色([1,0.75294,0.79608]),深粉色([1,0.07843,0.57647]),依次表示轻微龟裂、中度/严重龟裂。(1) Cracks: The diseased unit is approximately converted into a quadrilateral, and the MATLAB program is used to generate the edge boundary of the blue polygon, the length is Length, and the width is Width. Use the UNIFIND function to generate random fractures, and generate random horizontal/longitudinal fractures with a fracture size of 0.2 to 0.5m and a fracture size of less than 0.2m for grid filling. The following two filling colors are selected: pink ([1,0.75294,0.79608] ), dark pink ([1, 0.07843, 0.57647]), indicating slight cracks, moderate/severe cracks.

(2)块状裂缝:将病害单元近似转换为矩形,采用MATLAB程序生成蓝色多边形边缘界限,长宽按照记录数据进行配置,长度为Length,宽度为Width。选用绿色虚线向内偏置生成块状裂缝图示,偏置距离分别为0.5m、1m,表示轻度块裂、重度块裂。(2) Block cracks: The diseased unit is approximately converted into a rectangle, and the MATLAB program is used to generate the edge boundary of the blue polygon. The length and width are configured according to the recorded data, and the length is Length and the width is Width. The green dotted line is used to offset inwardly to generate block cracks, and the offset distances are 0.5m and 1m respectively, indicating mild block cracks and severe block cracks.

(3)裂缝:采用UNIFIND函数编写随机裂缝生成函数,采用长度Length进行单元配置,生成纵/横向裂缝图示。选用绿色线条生成纵向裂缝,选用天蓝色([0,0.74902,1])线条生成横向裂缝。轻度裂缝线宽配置为默认像素,重度裂缝线宽配置为2像素。(3) Cracks: use the UNIFIND function to write a random crack generation function, use the length Length to configure the unit, and generate longitudinal/transverse crack diagrams. Use green lines to generate longitudinal cracks, and sky blue ([0,0.74902,1]) lines to generate transverse cracks. The light crack line width is configured as default pixels, and the severe crack line width is configured as 2 pixels.

(4)坑槽:根据坑槽的尺寸Length、Width配置主轴长度,生成橙色([1,0.54902,0])椭圆形边缘界限,轻度坑槽采用红色主轴进行填充,重度坑槽采用蓝色主轴进行填充。(4) Pit and groove: configure the length of the main shaft according to the size of the pit and groove, and generate an orange ([1,0.54902,0]) oval edge boundary. The light pit and groove are filled with the red main shaft, and the heavy pit and groove are filled with blue. The main axis is filled.

(5)修补:修补采用矩形换算面积方式,根据尺寸信息Length、Width生成矩形单元,修补单元采用灰色([0.7451,0.7451,0.7451])面填充。(5) Repair: The repair adopts the rectangle conversion area method, and generates a rectangular unit according to the size information Length and Width, and the repair unit is filled with gray ([0.7451, 0.7451, 0.7451]) surface.

(6)其余如泛油、松散等表面缺陷病害,统一采用矩形换算面积及位置信息生成,根据尺寸Length、Width生成蓝色矩形举行,泛油损坏单元随机圆圈进行内部填充,松散采用随机菱形进行内部填充。(6) Other surface defects such as oil spills and looseness are uniformly generated by rectangular conversion area and position information. A blue rectangle is generated according to the size Length and Width. The oil spill damage unit is filled with random circles, and the looseness is carried out by random diamonds. Internal padding.

(7)沉陷、车辙、拥包等表面变形损坏统一采用矩形换算方式,根据尺寸信息Length、Width进行单元配置,生成黑色矩形边界,表面变形损坏单元采用红色曲线进行内部填充。(7) The surface deformation damage such as subsidence, rutting, and crowding is uniformly used in the rectangular conversion method. The unit is configured according to the size information Length and Width, and a black rectangular boundary is generated. The surface deformation damage unit is filled with red curves.

2、利用Excel创建“沥青路面损坏状况原始记录表”,病害单元的类型、程度、中心点位置信息采取下拉菜单方式录入,病害单元的尺寸信息采取手动方式录入,录入结果如表1。2. Use Excel to create the "Original Record Table of Asphalt Pavement Damage Conditions". The type, degree, and center point position information of the diseased unit is entered in a drop-down menu, and the size information of the diseased unit is entered manually. The entry results are shown in Table 1.

表1沥青路面损坏状况原始记录表Table 1 Original record of damage to asphalt pavement

Figure BDA0002476029970000061
Figure BDA0002476029970000061

3、采用MATLAB建立一个100m×7m的矩形百米路面单元,X方向为行车方向,Y方向为横断面方向,百米路面单元沿X方向划分为上、中、下三部分,用于损坏单元的配置和定位,上部坐标范围为X∈[-50,-20],中部坐标范围为X∈[-20,20],下部坐标范围为X∈[20,50],如图2。3. Use MATLAB to build a 100m×7m rectangular 100-meter pavement unit, the X direction is the driving direction, the Y direction is the cross-sectional direction, and the 100-meter pavement unit is divided into upper, middle and lower parts along the X direction, which are used for damage units. The upper coordinate range is X ∈ [-50, -20], the middle coordinate range is X ∈ [-20, 20], and the lower coordinate range is X ∈ [20, 50], as shown in Figure 2.

4、采用MATLAB读取表1中的调查数据,读取损坏单元尺寸形状数据raw(i,5),判断损坏单元的计量单位,并提取长度信息“length_i”、宽度信息“width_i”以及程度信息“degree”。4. Use MATLAB to read the survey data in Table 1, read the size and shape data of the damaged unit raw(i, 5), determine the measurement unit of the damaged unit, and extract the length information "length_i", width information "width_i" and degree information "degree".

对raw(i,8)所记录的中心点位置信息纵向定位数据进行判断,确定损坏单元的X坐标范围,与损坏单元在百米路面单元上的与绘图幅位(上/中/下部),具体的损坏单元中心点x坐标值矩阵“x_ZB”采用“2(X-Xi)>(length+lengthi)”的间距约束方式生成。Judge the longitudinal positioning data of the center point position information recorded by raw(i,8), determine the X coordinate range of the damaged unit, and the drawing amplitude (upper/middle/lower) of the damaged unit on the 100-meter pavement unit, The specific x-coordinate value matrix "x_ZB" of the center point of the damaged unit is generated using the spacing constraint of "2(X-Xi)>(length+lengthi)".

对raw(i,9)所记录的中心点位置信息横断面定位数据进行判断(左/右侧轮迹带、行车道中线、左/右侧边缘),生成损坏单元的中心点y坐标值矩阵“y_ZB”。Judging the cross-sectional positioning data of the center point position information recorded by raw(i,9) (left/right wheel track belt, lane center line, left/right side edge), and generating the center point y coordinate value matrix of the damaged unit "y_ZB".

读取损坏单元的类型数据,对raw(i,2)所记录的损坏类型数据进行验证,生成损坏单元类型判断结果矩阵“degree”。Read the type data of the damaged unit, verify the damaged type data recorded by raw(i,2), and generate the damage unit type judgment result matrix "degree".

表2损坏单元生成文件所需参数Table 2 Parameters required to generate files for damaged cells

编号Numbering xx yy LengthLength WidthWidth degreedegree 11 -6.4451-6.4451 5.255.25 33 33 light 22 41.796041.7960 4.004.00 22 0.50.5 light 33 46.560446.5604 4.004.00 22 00 Heavy 44 0.43040.4304 4.004.00 33 22 middle 55 -30.7717-30.7717 3.503.50 3.53.5 00 light 66 14.071714.0717 5.255.25 33 0.80.8 light 77 48.070948.0709 5.255.25 0.50.5 11 light 88 25.563425.5634 3.503.50 22 00 Heavy 99 -37.0244-37.0244 5.255.25 22 0.30.3 Heavy 1010 -23.3521-23.3521 5.255.25 55 33 light 1111 -44.2013-44.2013 4.004.00 11 22 light 1212 -34.4465-34.4465 6.506.50 22 00 light 1313 7.04647.0464 6.506.50 0.40.4 0.20.2 light 1414 31.747131.7471 4.004.00 0.30.3 0.30.3 Heavy 1515 18.186618.1866 6.506.50 11 0.50.5 light

5、以生成的信息矩阵X_ZB,Y_ZB,Length,Width,degree为参数,调用损坏类型基本单元生成文件,生成沥青路面百米损坏图示如图3。5. Taking the generated information matrix X_ZB, Y_ZB, Length, Width, and degree as parameters, call the basic unit of damage type to generate a file, and generate a 100-meter damage diagram of asphalt pavement as shown in Figure 3.

实施例2Example 2

将本发明实施于宽度为4米的某单车道沥青路面病害状况人工巡检中:The present invention is implemented in the manual inspection of the disease condition of a certain single-lane asphalt pavement with a width of 4 meters:

1、与实施例1中步骤1相同。1. Same as step 1 in Example 1.

2、利用Excel创建“沥青路面损坏状况原始记录表”,结果如表3。2. Use Excel to create the "Original Record of Asphalt Pavement Damage Condition", the results are shown in Table 3.

表3沥青路面损坏状况原始记录表Table 3 The original record of damage to asphalt pavement

Figure BDA0002476029970000071
Figure BDA0002476029970000071

Figure BDA0002476029970000081
Figure BDA0002476029970000081

3、采用MATLAB建立一个100m×4m的矩形百米路面单元,划分为上、中、下三部分,如图4。3. Use MATLAB to build a 100m×4m rectangular pavement unit of 100 meters, which is divided into upper, middle and lower parts, as shown in Figure 4.

4、采用MATLAB读取表3中的调查数据配置单元信息,生成损坏单元参数如表4。4. Use MATLAB to read the survey data configuration unit information in Table 3, and generate damaged unit parameters as shown in Table 4.

表4损坏单元生成文件所需参数Table 4 Parameters required to generate files for damaged cells

编号Numbering xx yy LengthLength WidthWidth degreedegree 11 23.193723.1937 3.003.00 11 0.50.5 light 22 -33.7511-33.7511 3.503.50 22 0.50.5 light 33 -40.4669-40.4669 3.003.00 0.30.3 0.50.5 Heavy 44 37.431237.4312 1.001.00 33 22 middle 55 47.208147.2081 2.252.25 3.53.5 00 light 66 10.874210.8742 2.252.25 33 0.80.8 light 77 0.21500.2150 1.001.00 0.50.5 11 light 88 30.178730.1787 1.501.50 22 0.50.5 Heavy 99 -22.5280-22.5280 2.252.25 22 0.80.8 Heavy 1010 -46.1073-46.1073 3.003.00 33 11 light 1111 18.718818.7188 2.252.25 2.52.5 00 light 1212 43.399043.3990 1.501.50 22 00 light 1313 -27.8362-27.8362 2.252.25 33 33 light 1414 -15.4444-15.4444 1.501.50 1.51.5 00 Heavy 1515 -11.7925-11.7925 2.252.25 11 0.50.5 light

5、以生成的信息矩阵X_ZB,Y_ZB,Length,Width,degree为参数,调用损坏类型基本单元生成文件,生成沥青路面百米损坏图示如图5。5. Taking the generated information matrix X_ZB, Y_ZB, Length, Width, and degree as parameters, call the basic unit of damage type to generate a file, and generate a 100-meter damage diagram of asphalt pavement as shown in Figure 5.

对照原始记录表与参数生成表以及百米损坏图示,可以看出:在不同宽度的沥青路面调查数据测试环节,本发明的沥青路面损坏调查可视化方法可以快速准确地还原沥青路面的损坏图示,证明了本发明的准确性和普适性。Comparing the original record table, the parameter generation table and the 100-meter damage diagram, it can be seen that: in the test link of the asphalt pavement investigation data of different widths, the visualization method of the asphalt pavement damage investigation of the present invention can quickly and accurately restore the damage diagram of the asphalt pavement , which proves the accuracy and universality of the present invention.

本发明方案所公开的技术手段不仅限于上述实施方式所公开的技术手段,还包括由以上技术特征任意组合所组成的技术方案。应当指出,对于本技术领域的普通技术人员来说,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也视为本发明的保护范围。The technical means disclosed in the solution of the present invention are not limited to the technical means disclosed in the above embodiments, but also include technical solutions composed of any combination of the above technical features. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications are also regarded as the protection scope of the present invention.

Claims (5)

1. A visual recording method for detecting asphalt pavement disease conditions is characterized by comprising the following steps:
(1) selecting the edge shape of the asphalt pavement disease unit according to the type and degree of the asphalt pavement disease, and establishing an asphalt pavement damage type basic unit by using MATLAB;
(2) creating an original record table of the asphalt pavement damage condition by using Excel, inputting the type and degree of a damaged unit and the position information of a central point in a pull-down menu mode, and inputting the size information of the damaged unit in a manual mode;
(3) adopting MATLAB to establish a 100 multiplied by L rectangular hectometer pavement unit, wherein L is the width of a pavement, X direction is the driving direction, Y direction is the cross section direction, and the hectometer pavement unit is divided into an upper part, a middle part and a lower part along the X direction and is used for configuring and positioning a damaged unit;
(4) and importing an original record table of the damage condition of the asphalt pavement into MATLAB, configuring damage unit information, generating corresponding damage units on hectometer pavement units according to the type, degree, central point position and size data of the damage units, and establishing a hectometer damage diagram of the asphalt pavement.
2. The visual recording method for detecting the disease condition of the asphalt pavement according to claim 1, wherein in the step (1), MATLAB is used to write basic unit generating files of the damage type of the asphalt pavement, the required parameters are [ X _ ZB, Y _ ZB, Length, Width, depth ], which respectively represent X coordinate, Y coordinate, Length, Width and severity, the basic types of the damage units of the asphalt pavement are classified into 7 categories, and the criteria and the basic unit generating method are as follows:
(1-1) cracking: the crack block degree is 0.2-0.5 m, and the average crack width is less than 2mm, so that the crack is slight; the crack block size is less than 0.2m, and the average crack width is 2-5 mm, so that the crack is moderate; the crack block size is less than 0.2m, and the average crack width is more than 5mm, so that the crack is heavily cracked;
converting the disease unit into a quadrangle, and generating a blue polygon edge boundary by adopting an MATLAB program, wherein the Length is Length, and the Width is Width; generating random cracks by adopting a UNIFIND function, carrying out grid filling on the generated random transverse/longitudinal cracks with the crack block degree of 0.2-0.5 m and the crack block degree of less than 0.2m, and selecting the following 2 filling colors: pink ([1,0.75294,0.79608]), dark pink ([1,0.07843,0.57647]), representing mild cracking, moderate/severe cracking in that order;
(1-2) bulk cracking: the main crack has the bulk degree larger than 1.0m, and the average crack width is 1-2 mm, so that the crack is a slight bulk crack; the main crack block degree is 0.5-1.0 m, and the severe block cracks are formed when the average crack width is more than 2 mm;
converting the disease unit into a rectangle, generating a blue polygon edge boundary by adopting an MATLAB program, configuring the Length and the Width according to the recorded data, wherein the Length is Length, and the Width is Width; selecting a green dotted line to bias inwards to generate a block crack diagram, wherein the bias distances are 0.5m and 1m respectively, and the block crack diagram represents slight block crack and severe block crack;
(1-3) cracking: the longitudinal cracks are parallel to the driving direction, the transverse cracks are vertical to the driving direction, the severity degree takes the crack width of 3mm as a boundary, the cracks with the width more than 3mm are severe cracks, and the cracks with the width less than 3mm are mild cracks;
compiling a random crack generation function by using a UNIFIND function, and performing unit configuration by using a Length to generate a longitudinal/transverse crack diagram; selecting green lines to generate longitudinal cracks, and selecting sky blue ([0,0.74902,1]) lines to generate transverse cracks; the line width of the slight crack is configured as a default pixel, and the line width of the severe crack is configured as 2 pixels;
(1-4) pit: the depth of the light pit is less than 25mm, or the area is less than 0.1m2(ii) a The depth of the heavy pit is more than 25mm, or the area is more than 0.1m2
The diffusion form of the pit groove is circular or elliptical, and the area is less than 0.1m2Approximately less than 0.178m in diameter; the spindle Length is set according to the Length and Width of the pit slot to generate orange color ([1,0.54902, 0)]) The edge of the oval is limited, the light pit is filled by adopting a red main shaft, and the heavy pit is filled by adopting a blue main shaft;
(1-5) repairing: the method comprises the steps of generating rectangular units according to size information Length and Width by adopting a rectangular conversion area mode for repairing, and filling the repairing units by adopting gray ([0.7451,0.7451,0.7451]) surfaces;
(1-6) uniformly generating other surface defect diseases by adopting rectangle conversion area and position information, generating blue rectangles according to the sizes of Length and Width, filling the inside of the oil-flooding disease unit in a random circle mode, and filling the inside of the oil-flooding disease unit in a loose mode in a random rhombus mode;
and (1-7) uniformly performing surface deformation damage by adopting a rectangular conversion mode, performing unit configuration according to the size information Length and Width to generate a black rectangular boundary, and performing internal filling on the surface deformation damage unit by adopting a red curve.
3. The visual recording method for the artificial detection of the asphalt pavement damage condition as claimed in claim 1, characterized in that in step (2), an original recording mode is provided in the form of Excel table, and an "original recording table of asphalt pavement damage condition" is created, wherein the length and width information of the damage unit is manually entered, the type, degree and center point position information of the damage unit are used to establish a pull-down menu through Excel data verification mode, set the limited option, select the corresponding option to enter;
when creating the "original record table of the damaged condition of the asphalt pavement", the options for defining the types of the damaged units are set as follows: cracking diseases, block cracks, longitudinal cracks, transverse cracks, sinking diseases, track diseases, wave congestion, pit slot diseases, loosening diseases, oil bleeding diseases and repairing diseases;
the disease location restriction options are set as follows: a left driving belt, a right driving belt, a driving lane central line, a left edge line and a right edge line (Y direction); upper, middle, lower (X direction).
4. The visual recording method for detecting the disease state of asphalt pavement according to claim 1, wherein in the step (3), the X-coordinate range of the hectometer pavement unit is X e-50, the hectometer pavement unit is divided into an upper part, a middle part and a lower part along the X direction, the upper coordinate range is X e-50, -20, the middle coordinate range is X e-20, and the lower coordinate range is X e [20, 50 ].
5. The visual recording method for detecting the disease condition of the asphalt pavement as claimed in claim 1, wherein in the step (4), the hundred meter damage graphic representation of the asphalt pavement is determined by the following steps:
(4-1) reading survey data in an original record table of the asphalt pavement damage condition by using MATLAB, reading size and shape data raw (i,5) of a damaged unit, judging a measuring unit of the damaged unit, and extracting length information 'length _ i', width information 'width _ i' and degree information 'degree';
(4-2) generating a damaged cell center point X coordinate: judging the longitudinal positioning data of the central point position information recorded by raw (i,8), determining the X coordinate range of the damaged unit, the drawing positions (upper/middle/lower part) of the damaged unit on the hectometer pavement unit, and adopting 2 (X-X) as the specific X coordinate matrix of the damaged unit central point X-ZBi)>(length+lengthi) "spacing constraint mode generation;
(4-3) generating a damaged cell center point Y coordinate: judging the cross section positioning data (left/right side wheel track, center line of traffic lane, left/right side edge) of the central point position information recorded by raw (i,9) to generate a central point y coordinate value matrix 'y _ ZB' of the damaged unit;
(4-4) reading the type data of the damaged unit, verifying the damaged type data recorded in raw (i,2) and generating a damaged unit type judgment result matrix 'void';
and (4-5) calling the MATLAB damage type basic unit generation file corresponding to the parameter [ X _ ZB _ i, Y _ ZB _ i, Length _ i, Width _ i and depth _ i ] read in the steps (4-4) to generate a hectometre damage diagram of the asphalt pavement.
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Application publication date: 20200825