Disease road section rapid positioning method

Abstract

The invention relates to a rapid positioning method for a disease road section. The method comprises the steps of S1, acquiring road section positioning coordinate points in a circular area with a disease point as a circle center; s2, acquiring a road section of a circular area according to the road section positioning coordinate points output in the step S1; if the number of the road sections obtained in the step S2 is 1, determining that the road section belongs to the disease point; if the number of the road sections is greater than 1, acquiring the vertical distance from the disease point to each road section, and if the number of the road sections with the vertical distance smaller than a preset threshold is 1, determining that the road section belongs to the disease point; if the vertical distance is smaller than the preset threshold value and larger than 1, positioning points P1 and P2 before and after the disease point is collected for N seconds are obtained; calculating the slope Kd of a straight line passing through the positioning points P1 and P2 according to the P1P2; calculating the slope Kab of the road section according to two road section positioning coordinates close to the disease point on the road section; and obtaining a road section with the slope Kab closest to the Kd, wherein the road section is the road section to which the disease point belongs. The rapid positioning method for the diseased road section is simple, efficient and low in implementation cost.

Description

Technical Field

[0001] The invention relates to a method for locating a damaged road section, and in particular to a method for quickly locating a damaged road section. Background Art

[0002] In order to keep roads unobstructed and eliminate potential accident hazards, road management units need to inspect roads regularly to locate defects and the road sections to which they belong, so that maintenance units can efficiently maintain the road sections they are responsible for.

[0003] In the field of road defect location technology, early location methods mainly relied on manual inspection and location. This method relied on the subjective judgment of inspectors to determine the road section where the defect was located. Inspectors relied on their own experience and visual observation to check and record the location of the defect one by one on the road.

[0004] Nowadays, with the rapid development of technology, intelligent positioning methods based on GPS (Global Positioning System) or RTK (Real-time Kinematic Positioning) are widely used in the field of positioning to accurately obtain the precise coordinates of the disease. On this basis, the system can further determine the road section where the disease is located through corresponding data processing and analysis technology.

[0005] This defect positioning method based on GPS or RTK data provides great convenience for owners and users. However, during its implementation, inspection vehicles need to frequently collect road coordinates, which is cumbersome, complex to operate, inefficient, and has a long cycle, leading to misjudgment. At the same time, due to the large amount of data collected and complex calculations, problems such as data asynchrony are prone to occur, which also makes the overall cost of the system high. Therefore, it is necessary to design a new method for locating defective road sections to solve the above problems. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a method for quickly locating a damaged road section which is simple, efficient and has a low implementation cost.

[0007] The method for quickly locating a damaged road section of the present invention comprises the step of obtaining the coordinates of the damaged point, and the method for quickly locating a damaged road section also comprises the following steps: S1: Obtain the road section positioning coordinate points within the circular area with the disease point as the center; S2: Locate the coordinate points of several road sections outputted from step S1 to obtain all road sections that pass through the circular area; S3: Obtain the road section to which the disease point belongs by the following steps; If the number of road sections obtained in step S2 is 1, then the road section is the road section to which the disease point belongs; If the number of road sections obtained in step S2 is greater than 1, then the vertical distance from each road section to the defect point is obtained. If the number of road sections with the smallest vertical distance to the defect point is 1, then the road section is the road section to which the defect point belongs; If the number of sections with the minimum vertical distance to the defect point is greater than 1, the section to which the defect point belongs is obtained from the sections with the minimum vertical distance through the following steps; Obtain the coordinates of the positioning point P1 N seconds before the disease point is collected, and the coordinates of the positioning point P2 N seconds after the disease point is collected; The slope K of the straight line passing through the positioning points P1 and P2 is calculated from the coordinates of the positioning point P1 and the coordinates of the positioning point P2. d ; Calculate the slope K of the road section based on the coordinates of the two road sections adjacent to the disease point on the road section. ab ; Get the slope K ab Closest to K d The road section is the road section to which the disease point belongs.

[0008] The advantage of this method for quickly locating the damaged road section is that it screens the eligible road section positioning coordinate points and their corresponding road sections by adjusting the radius value of the circular area, and obtains the road section to which the damaged point belongs through the number of road sections, the vertical distance to the damaged point, or the difference between the slope and the slope of the straight line at the damaged point. Compared with the traditional positioning method based on a large amount of positioning data, it only needs a small number of road section positioning coordinate points and simple geometric calculations to achieve accurate positioning of the road section to which the damaged point belongs, thereby improving the system's operating efficiency and response speed, and greatly reducing the overall cost of the system.

[0009] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it in accordance with the contents of the specification, the embodiments of the present invention are described in detail below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic diagram of a road network with four road sections and the disease points on them.

[0011] Figure 2 It is a schematic diagram showing that the defect point is located in a curved road section and there are four road section positioning points in the circular area.

[0012] Figure 3 It is a schematic diagram in which the defect point is located on a curved road section and there are nine road section positioning points in a circular area. DETAILED DESCRIPTION

[0013] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0014] Example 1: See Figure 1 The following describes the method for quickly locating a damaged road section in this embodiment in detail using a tic-tac-toe road network with four road sections. In this embodiment, the tic-tac-toe road network includes four road sections: section A, section B, section C, and section D.

[0015] The method for quickly locating a damaged road section in this embodiment includes the step of obtaining the coordinates of the damaged point.

[0016] Specifically, the coordinates of the diseased points can be obtained through an inspection vehicle equipped with positioning data acquisition equipment (such as GPS, RTK measuring instruments, etc.). The acquired coordinate data can be uploaded to the server in real time through the network, or directly uploaded to the vehicle-mounted system through a data cable.

[0017] After obtaining the coordinates of the defect point, the system obtains the road section positioning coordinate points within the circular area with the defect point as the center on the existing road network.

[0018] The above steps introduce an adjustable radius parameter, and the radius value can be manually and dynamically adjusted according to the density of the road section positioning coordinates. When the density of the road section positioning coordinates is large, it means that the area has abundant positioning data, and the radius should be small; when the density of the road section positioning data coordinates is small, it means that the positioning data is relatively small, and the radius should be large.

[0019] The radius of the circular area can be set according to the section with the sparsest road section positioning points in the road network. In general, the distance between adjacent road section positioning points in a section does not exceed 1000 meters. Therefore, the initial value of the radius of the circular area can be set to 1000 meters. The operator can flexibly adjust this value in the parameter configuration module of the system. For example, in special road network conditions with very few road section positioning points, the operator can appropriately increase the radius value to ensure that there is at least one road section positioning point and one road section in the circular area.

[0020] Similar to obtaining the coordinates of the defect point, the coordinates of the section positioning points can also be collected by the inspection vehicle. In addition, the system can also use the existing road stake positioning data of each section as the coordinate data of the section positioning points, or combine the two as the coordinate set of the section positioning points. The system pre-binds the collected section positioning point coordinates with each section in the existing road network to facilitate the subsequent positioning of the section to which the defect point belongs.

[0021] In addition, the coordinates of road section points can also be obtained by users marking points on the system's road network map, so that users can freely define data. This can get rid of the dependence on patrol vehicle collection and large-scale data synchronization, and avoid work delays caused by patrol vehicle equipment failures and data synchronization problems.

[0022] The above step of obtaining the location coordinates of the road section within the circular area can be implemented by the following method.

[0023] Assume that the coordinates of the defect point P in the road network are (x0, y0), and the coordinates of the positioning point of a certain road section are (x1, y1), then the formula Get the distance d1 from a certain road section location point to the defect point P.

[0024] In a similar manner, the distance from each section positioning point in the road network to the diseased point P is calculated respectively, and all section positioning points whose distance d1 is less than the radius of the circular area are obtained, thereby achieving the acquisition of the section positioning points in the circular area.

[0025] After obtaining the road section positioning points within the circular area, the system can obtain the road section to which each road section positioning point belongs through these road section positioning points and existing road network data.

[0026] Specifically, if the number of acquired road sections is 1, the road section is the road section to which the defect point belongs.

[0027] If the number of road sections obtained is greater than 1, the vertical distance from the disease point to each road section is obtained.

[0028] Taking a certain road section as an example, the vertical distance from the diseased point to the road section is specifically calculated.

[0029] Assuming the equation of section AB is Ax+By+C=0, the vertical distance from the defect point P to the section is: .

[0030] If the coordinates of the two end points of section AB are A(x1,y1) and B(x2,y2) respectively, then A=y1-y2, B=x2-x1, and C=x1y2-x2y1.

[0031] If the number of road sections whose vertical distance is less than the predetermined threshold is 1, then the road section is the road section to which the defect point belongs.

[0032] Usually, the predetermined threshold can be set as the width of the road section, and specifically, it can be the maximum width of multiple road sections. Under normal circumstances, the vertical distance between the defect point located in a certain road section and the edge of the road section is less than the width of the road section. Therefore, the road section where the defect point is located can be quickly determined by whether the vertical distance is less than the preset threshold. If the system does not obtain a defect point whose distance is less than the preset threshold, excluding the error of the positioning coordinate acquisition device, it indicates that the defect point exceeds the preset road network range, and the system can perform relevant special processing for this situation.

[0033] If the number of road sections whose vertical distance to the defect point is less than the preset threshold is greater than 1, that is, the defect point is located at the intersection of multiple road sections, the system can make a judgment by obtaining parameters such as the positioning points N seconds before and after the defect and the slope of the road section connecting line, and then obtain the road section to which the defect point belongs. The following is a specific description assuming N=1 second.

[0034] Get the location coordinates of the disease point one second before collection (x d-1 ,y d-1 ) and the location coordinates (x d+1 ,y d+1 ).

[0035] By formula k d =(y d+1 -y d-1 ) / (x d+1 -x d-1 ) Calculate the slope k of the straight line at the coordinate point 1 second before and after the disease d If x d+1 =x d-1 , then the slope of the recorded disease trajectory is vertical.

[0036] By formula k ab =(y b -y a ) / (x b -x a ) Calculate the slope of section AB. If x b =x a , then the slope of the road section is recorded as vertical.

[0037] Calculate the slope k of the road segment ab and the slope k of the straight line at the diseased point d Absolute value of subtraction|k d -k ab |.

[0038] Compare the above absolute values ​​and find the road section with the smallest absolute value, then the defect point belongs to this road section.

[0039] After obtaining the road section to which the defective point belongs, the system saves it in the system database, and sends the defective point information to the person in charge of the corresponding road section through appropriate means, such as text messages, WeChat, etc., to remind them to quickly deal with the defective point.

[0040] From the above description, it can be seen that the method for quickly locating the diseased road section only requires a small number of coordinate points for calculation. There is no need to use patrol vehicles to collect all GPS data of the entire road section, which greatly reduces the data collection work. For example, a simple straight road section only requires a few coordinate points to meet the calculation requirements.

[0041] For simple road networks, this method can quickly and accurately locate the damaged road sections with fewer coordinate points, with high computational efficiency and low cost. Figure 2 and Figure 3For the road network with curved sections shown in the figure, in order to ensure that the slope of the section accurately matches the slope of the straight line at the defect point, and thus ensure the accuracy and reliability of the calculation results, additional section positioning points can be added at the section with larger curvature. In this way, the slope calculation error caused by insufficient data points can be effectively reduced, and the high-precision requirements for related calculation operations such as the judgment of defective sections in complex or special road network scenarios can be met.

[0042] The above is only a preferred embodiment of the present invention, which is used to assist those skilled in the art to implement the corresponding technical solution, and is not used to limit the scope of protection of the present invention. The scope of protection of the present invention is defined by the attached claims. It should be pointed out that for those of ordinary skill in the art, on the basis of the technical solution of the present invention, several equivalent improvements and variations can be made, and these improvements and variations should also be regarded as the scope of protection of the present invention. At the same time, it should be understood that although this specification is described in accordance with the above-mentioned embodiments, not every embodiment contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions of each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for quickly locating a damaged road section, comprising the step of obtaining the coordinates of the damaged point, characterized in that: The method for quickly locating a damaged road section also includes the following steps: S1: Obtain the road section positioning coordinate points within the circular area with the disease point as the center; S2: Locate the coordinate points of several road sections outputted from step S1 to obtain all road sections that pass through the circular area; S3: Obtain the road section to which the disease point belongs by the following steps; If the number of road sections obtained in step S2 is 1, then the road section is the road section to which the disease point belongs; If the number of road sections obtained in step S2 is greater than 1, the vertical distance from the defect point to each road section is obtained. If the number of road sections whose vertical distance is less than the preset threshold is 1, the road section is the road section to which the defect point belongs; If the number of road sections whose vertical distance is less than the preset threshold is greater than 1, the road section to which the defect point belongs is obtained from the several road sections with the smallest vertical distance through the following steps; Obtain the coordinates of the positioning point P1 N seconds before the disease point is collected, and the coordinates of the positioning point P2 N seconds after the disease point is collected; The slope K of the straight line passing through the positioning points P1 and P2 is calculated from the coordinates of the positioning point P1 and the coordinates of the positioning point P2. d ; Calculate the slope K of the road section based on the coordinates of the two road sections adjacent to the disease point on the road section. ab ; Get the slope K ab Closest to K d The road section is the road section to which the disease point belongs.

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