Smart city road maintenance management method and system

Abstract

The invention discloses a smart city road maintenance management method, and belongs to the technical field of smart cities, and the method comprises the steps: recognizing a pavement disease, and obtaining the size and position information of the pavement disease; dividing the road into a plurality of road sections, and evaluating the severity of the pavement disease in each road section according to the size and position information of the pavement disease; and finally, the maintenance sequence of each road section is adjusted according to the evaluation result, the average traffic flow Lc of each road section and the time difference tc between the moment when the pavement disease maintenance is performed last time on the corresponding road section and the current moment, so that the pavement disease in the area with relatively large influence can be preferentially processed under the condition that the maintenance capability is limited, and the maintenance efficiency is improved. The influence of pavement diseases on traffic is integrally reduced, and the maintenance resource allocation efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart cities, and specifically relates to a smart city road maintenance management method and system. Background Art

[0002] Since roads are in a dynamic aging process after being put into use, they are affected by factors such as climate and traffic volume. If the road is seriously aged, it will affect the normal form of vehicles. Road maintenance is the upkeep and maintenance of roads. Maintain roads and structures and facilities on them, keep the road performance as much as possible, restore damaged parts in time, ensure safe, comfortable and smooth driving, save transportation costs and time; take correct technical measures to improve project quality, extend the service life of roads, and postpone reconstruction time.

[0003] The road maintenance team needs to inspect, discover and maintain road surface diseases during the dynamic use and aging process of the road. In the prior art, the road maintenance team conducts a carpet-style disease inspection and maintenance on the road according to a certain route, and reports and repairs the disease as soon as it is discovered. The maintenance work is arranged based on manual experience or carried out in a certain route sequence. However, since the frequency and severity of diseases on roads in different regions are different due to traffic volume, climate, road grade, surrounding construction conditions, etc., if maintenance is carried out completely in the set order, it may lead to increased traffic losses, which is not conducive to the efficient operation and maintenance of the road as a whole. In order to solve the above problems, the present invention provides the following technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide a smart city road maintenance management method and system to solve the problem that the road maintenance team in the prior art mainly relies on manual experience to arrange or perform maintenance work in a certain route sequence. However, since the frequency and severity of road diseases in different regions are different due to traffic volume, climate, road grade, surrounding construction conditions, etc., if maintenance is performed completely in the set order, it may lead to increased traffic losses and is not conducive to the efficient operation and maintenance of the entire road.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A smart city road maintenance management method comprises the following steps: Step 1: Identify road surface defects and obtain information on their size and location; Step 2: Divide the road into several sections, and evaluate the severity of the road surface damage in each section according to the size and location information of the road surface damage; Step 3. According to the evaluation results in Step 2, the average traffic flow Lc of each road section and the time difference tc between the last time the corresponding road section was repaired and the current time are used to adjust the maintenance order of each road section. Specifically, when other conditions are the same, the greater the severity of the road surface disease, the higher the priority; the greater the average traffic flow Lc, the higher the priority; the greater the time difference tc, the higher the priority.

[0006] As a further solution of the present invention, when a road is divided into a plurality of sections, the road intersection is used as a node, and the starting point and the end point of a section are both nodes.

[0007] As a further solution of the present invention, the method for evaluating the severity of pavement damage in each road section is: Obtain the area of ​​pavement damage and the coordinate position of pavement damage; Mark a road section as a target road section, and mark each road surface defect as ai, where i is an index value ranging from 1 to n, and n is the number of road surface defects in the target road section; Get the area bi corresponding to the road surface disease ai; Starting from the starting point of the target road section and ending at the end point of the target road section, according to the distribution of road surface defects, obtain the distance between the latter point and the previous point within the range including the starting point, the end point and all road surface defects in the target road section, mark them as L1, L2, ..., L(n+1) in sequence, and calculate the standard deviation S of the n+1 numbers from L to L(n+1); According to the formula Qyz=(α1×n+α2×bz) / α S Calculate the damage coefficient Qyz of the target road section; Wherein α1 and α2 are both preset coefficients, and the sum of α1 and α2 is 1; α is a preset value, and the value range of α is greater than 1 and less than 1.2; Where bz is the sum of the areas of the n corresponding pavement defects in the target section.

[0008] As a further solution of the present invention, the value of α is 1.06.

[0009] As a further solution of the present invention, the method for adjusting the maintenance sequence of each road section in Step 3 is: Collect statistics on the road sections included in the monitoring area; Calculate and obtain the damage coefficient Qyz corresponding to each road section; According to the formula Y=γ1×Qyz+γ2×Lc+γ3×tc, the maintenance priority coefficient Y corresponding to each section is calculated; Among them, γ1, γ2 and γ3 are all preset coefficients, and γ1+γ2+γ3=1, and the values ​​of γ1, γ2 and γ3 are all greater than 0; Repair the road sections that need repair in the monitoring area in descending order of the maintenance priority coefficient Y.

[0010] As a further solution of the present invention, when the maintenance priority coefficient Y of a road section is less than a preset threshold value Y1, it is considered that the road surface disease condition of the corresponding road section has a small impact and no maintenance treatment is performed.

[0011] As a further solution of the present invention, when evaluating the severity of pavement damage in each road section in step 2, the following steps are also included: Taking the preset time t1 as a cycle, the road surface diseases generated in each road section are counted every preset time t1, and combined with the maintenance records, the sum of the areas bzx of the new road surface diseases generated in each t1 time period is counted; Get the curve of bzx corresponding to each road section as the road section's service life changes; Get the Ld value corresponding to each road section, where the Ld value is the ratio of the road section's traffic volume to the number of lanes; Obtain the change curves of the road sections with similar Ld values, fit these change curves, and obtain the standard curve; For the target road section that needs to be monitored, its corresponding change curve is obtained in real time, and the change curve is compared with the standard curve. When the integral f1 corresponding to the change curve and the integral f2 corresponding to the standard curve are greater than the preset ratio (f1-f2) / f2 within a continuous period of time, it is considered that the damage of the corresponding road section within the corresponding continuous period of time is abnormal.

[0012] As a further solution of the present invention, when the number of lanes in a road section changes, the lengths occupied by different lanes in the road section are obtained, and then the average number of lanes of the road section is calculated to calculate the Ld value.

[0013] The present invention also discloses a smart city road maintenance management system, which is used to execute the above management method, and the management system includes: A pavement disease information input unit, used to collect and input the location information and area information of pavement diseases; A memory, used to store the information entered by the pavement damage information entry unit; The analysis end is used to analyze the pavement damage of each road section, evaluate the impact of pavement damage on traffic in each road section, and arrange maintenance work based on the evaluation results; Among them, maintenance work will be given priority in areas where pavement diseases have a greater impact on traffic; for areas where pavement diseases have a smaller impact on traffic, maintenance work will be given a lower priority or will not be performed when maintenance capacity is insufficient, until the impact of the disease increases to a certain extent or maintenance resources are sufficient to handle the pavement diseases of the corresponding road section; The prompt unit is used to issue prompt information.

[0014] Beneficial effects of the present invention: 1. The present invention conducts statistical analysis on the pavement defects occurring in each road section, and then evaluates the impact of the pavement defects in each road section. Under the condition of limited maintenance capacity, it ensures that the pavement defects in the areas with greater impact can be treated first, thereby reducing the overall impact of pavement defects on traffic and improving the efficiency of maintenance resource allocation.

[0015] 2. The present invention monitors the road surface defects of each road section in time series and obtains the defect variation rules of the same type of road sections by fitting. When a road has obvious defects that deviate from the normal level, it monitors and processes them in time, finds the abnormal source of the road defect, and responds in a targeted manner. Therefore, it can slow down the aging effects of roads caused by overloading, abnormal settlement, etc. and extend the service life of roads. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 It is a flow chart of a smart city road maintenance management method of the present invention; Figure 2 It is a schematic diagram of the framework structure of a smart city road maintenance management system of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1 A smart city road maintenance management method, such as Figure 1 As shown, the following steps are included: Step 1: Identify road surface defects and obtain information on their size and location; Among them, the identification of pavement defects can be carried out by manually collecting records, using drones to obtain pavement images and perform image analysis to obtain relevant information about pavement defects, etc. Step 2: Divide the road into several sections and evaluate the severity of the road surface damage in each section. Specifically: Obtain the area of ​​pavement damage and the coordinate position of pavement damage; The number, area and distribution of pavement defects in each road section are collected to determine the severity of the pavement defects in each road section; Specifically, when the number and density of pavement defects in a road section are greater, it means that the defects in the corresponding road section are more serious; when the distribution of pavement defects in a road section is more concentrated, it means that the defects in the corresponding road section are more serious; When dividing a road into several sections, it is necessary to ensure that the road conditions within the same section are consistent, and the road conditions include traffic volume, road grade, road service life, etc.; For example, the intersection of roads is taken as a node, the starting point and the end point of a road section are both nodes, and generally speaking, only the starting point and the end point of a road section are nodes. In practical applications, if the length of the road section obtained by this method is too short, which affects the subsequent data analysis and processing, the road section can be extended to both ends so that the number of nodes contained in a road section is three or more, ensuring that the length of a road section is not too short, such as greater than 400m; This embodiment also specifically discloses a method for evaluating the severity of road surface damage in each road section as follows: Obtain the area of ​​pavement damage and the coordinate position of pavement damage; Obtain the pavement defects in each section. For a section, mark it as a target section and mark each pavement defect in it as ai, where i is an index value ranging from 1 to n, and n is the number of pavement defects in the target section. Get the area bi corresponding to the road surface disease ai; Starting from the starting point of the target road section and ending at the end point of the target road section, according to the distribution of road surface defects, obtain the distance between the latter point and the previous point within the range including the starting point, the end point and all road surface defects in the target road section, mark them as L1, L2, ..., L(n+1) in sequence, and calculate the standard deviation S of the n+1 numbers from L to L(n+1); According to the formula Qyz=(α1×n+α2×bz) / α S Calculate the damage coefficient Qyz of the target road section; Wherein α1 and α2 are both preset coefficients, and the sum of α1 and α2 is 1; α is a preset value, and the value range of α is greater than 1 and less than 1.2. Preferably, the value of α is 1.06; Where bz is the sum of the areas of n corresponding pavement defects in the target road section; Step 3: Arrange the repair of the road surface defects in each section according to the severity of the road surface defects in each section. Specifically: Collect statistics on the road sections included in the monitoring area; Calculate and obtain the damage coefficient Qyz corresponding to each road section; Calculate and obtain the average traffic flow Lc corresponding to each road section and the time difference tc between the last time the road surface disease repair was carried out on the corresponding road section and the current time; According to the formula Y=γ1×Qyz+γ2×Lc+γ3×tc, the maintenance priority coefficient Y corresponding to each section is calculated; Among them, γ1, γ2 and γ3 are all preset coefficients, and γ1+γ2+γ3=1, and the values ​​of γ1, γ2 and γ3 are all greater than 0; Repair the road sections that need repair in the monitoring area in descending order of the maintenance priority coefficient Y.

[0020] Preferably, when the maintenance priority coefficient Y of a road section is less than the preset threshold value Y1, it is considered that the road surface disease condition of the corresponding road section has little impact and no maintenance is performed; conversely, when the maintenance priority coefficient Y of a road section is greater than or equal to the preset threshold value Y1, maintenance is performed in descending order according to the corresponding maintenance priority coefficients Y.

[0021] By conducting a statistical analysis of the pavement defects that occur in each road section, and then evaluating the impact of the pavement defects in each road section, we can ensure that pavement defects in areas with greater impact are given priority when maintenance capacity is limited, thereby reducing the overall impact of pavement defects on traffic and improving the efficiency of maintenance resource allocation.

[0022] Embodiment 2 When evaluating the severity of pavement damage in each road section in step 2, the following steps are also included: Taking the preset time t1 as a cycle, the road surface diseases generated in each road section are counted every preset time t1, and combined with the maintenance records, the sum of the areas bzx of the new road surface diseases generated in each t1 time period is counted; Get the curve of bzx corresponding to each road section as the road section's service life changes; Get the Ld value corresponding to each road section, where the Ld value is the ratio of the road section's traffic volume to the number of lanes; When the number of lanes in a road section changes, the lengths of different lanes in the road section are obtained, and then the average number of lanes in the road section is calculated. For example, in a road section with a path length of 1000m, there is a transition from three lanes to two lanes in the middle, where the length of the three lanes is 600 and the length of the two lanes is 400. Then the average number of lanes is (600*3+400*2) / 1000=2.6. Obtain the change curves of the road sections with similar Ld values, fit these change curves, and obtain the standard curve; For the target road section that needs to be monitored, the corresponding change curve is obtained in real time, and the change curve is compared with the standard curve. When the integral f1 corresponding to the change curve and the integral f2 corresponding to the standard curve have a ratio (f1-f2) / f2 greater than a preset ratio such as 40% in a continuous period of time, it is considered that the damage of the corresponding road section in the corresponding continuous period of time is abnormal; The staff can be prompted through the prompt unit and the corresponding road sections can be inspected. Specifically, pressure sensors, displacement sensors, temperature sensors, etc. can be installed on the corresponding road sections to monitor the road conditions, detect abnormal settlement, displacement and pressure of the road surface, and promptly discover the abnormal source and make rectifications; overloaded vehicles can also be supervised and controlled to reduce the damage to the road caused by overloaded vehicles.

[0023] Embodiment 3 A smart city road maintenance management system, such as Figure 2 As shown, including: A pavement disease information input unit, used to collect and input the location information and area information of pavement diseases; A memory, used to store the information entered by the pavement damage information entry unit; The analysis end is used to analyze the pavement damage of each road section, evaluate the impact of pavement damage on traffic in each road section, and arrange maintenance work based on the evaluation results; Specifically, for areas where pavement damage has a greater impact on traffic, maintenance work will be prioritized; for areas where pavement damage has a smaller impact on traffic, maintenance work will be given a lower priority or will not be performed when maintenance capacity is insufficient, until the impact of the damage increases to a certain extent or maintenance resources are sufficient to handle the pavement damage on the corresponding road section; The prompt unit is used to send out prompt information to remind the maintenance staff to respond.

[0024] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A smart city road maintenance management method, characterized in that: The steps include: Step 1: Identify road surface defects and obtain information on their size and location; Step 2: Divide the road into several sections, and evaluate the severity of the road surface damage in each section according to the size and location information of the road surface damage; Step 3. According to the evaluation results in Step 2, the average traffic flow Lc of each road section and the time difference tc between the last time the corresponding road section was repaired and the current time are used to adjust the maintenance order of each road section. Specifically, when other conditions are the same, the greater the severity of the road surface disease, the higher the priority; the greater the average traffic flow Lc, the higher the priority; the greater the time difference tc, the higher the priority.

2. A smart city road maintenance management method according to claim 1, characterized in that: When a road is divided into several sections, the road intersection is used as a node, and the starting point and end point of a section are both nodes.

3. A smart city road maintenance management method according to claim 1, characterized in that: The method for evaluating the severity of pavement damage in each road section is as follows: Obtain the area of ​​pavement damage and the coordinate position of pavement damage; Mark a road section as a target road section, and mark each road surface defect as ai, where i is an index value ranging from 1 to n, and n is the number of road surface defects in the target road section; Get the area bi corresponding to the road surface disease ai; Starting from the starting point of the target road section and ending at the end point of the target road section, according to the distribution of road surface defects, obtain the distance between the latter point and the previous point within the range including the starting point, the end point and all road surface defects in the target road section, mark them as L1, L2, ..., L(n+1) in sequence, and calculate the standard deviation S of the n+1 numbers from L to L(n+1); According to the formula Qyz=(α1×n+α2×bz) / α S Calculate the damage coefficient Qyz of the target road section; Wherein α1 and α2 are both preset coefficients, and the sum of α1 and α2 is 1; α is a preset value, and the value range of α is greater than 1 and less than 1.2; Where bz is the sum of the areas of the n corresponding pavement defects in the target section.

4. A smart city road maintenance management method according to claim 3, characterized in that: The value of α is 1.

06.

5. A smart city road maintenance management method according to claim 4, characterized in that: The method for adjusting the maintenance sequence of each road section in Step 3 is: Collect statistics on the road sections included in the monitoring area; Calculate and obtain the damage coefficient Qyz corresponding to each road section; According to the formula Y=γ1×Qyz+γ2×Lc+γ3×tc, the maintenance priority coefficient Y corresponding to each section is calculated; Among them, γ1, γ2 and γ3 are all preset coefficients, and γ1+γ2+γ3=1, and the values ​​of γ1, γ2 and γ3 are all greater than 0; Repair the road sections that need repair in the monitoring area in descending order of the maintenance priority coefficient Y.

6. A smart city road maintenance management method according to claim 5, characterized in that: When the maintenance priority coefficient Y of a road section is less than the preset threshold value Y1, it is considered that the road surface disease condition of the corresponding road section has a small impact and no maintenance is performed.

7. A smart city road maintenance management method according to claim 3, characterized in that: When evaluating the severity of pavement damage in each road section in step 2, the following steps are also included: Taking the preset time t1 as a cycle, the road surface diseases generated in each road section are counted every preset time t1, and combined with the maintenance records, the sum of the areas bzx of the new road surface diseases generated in each t1 time period is counted; Get the curve of bzx corresponding to each road section as the road section's service life changes; Get the Ld value corresponding to each road section, where the Ld value is the ratio of the road section traffic volume to the number of lanes; Obtain the change curves of the road sections with similar Ld values, fit these change curves, and obtain the standard curve; For the target road section that needs to be monitored, its corresponding change curve is obtained in real time, and the change curve is compared with the standard curve. When the integral f1 corresponding to the change curve and the integral f2 corresponding to the standard curve are greater than the preset ratio (f1-f2) / f2 within a continuous period of time, it is considered that the damage of the corresponding road section within the corresponding continuous period of time is abnormal.

8. A smart city road maintenance management method according to claim 7, characterized in that: When the number of lanes in a road section changes, the lengths occupied by different lanes in the road section are obtained, and then the average number of lanes in the road section is calculated to calculate the Ld value.

9. A smart city road maintenance management system, the system is used to implement the management method according to any one of claims 1 to 8, characterized in that: The management system comprises: A pavement disease information input unit, used to collect and input the location information and area information of pavement diseases; A memory, used to store the information entered by the pavement damage information entry unit; The analysis end is used to analyze the pavement damage of each road section, evaluate the impact of pavement damage on traffic in each road section, and arrange maintenance work based on the evaluation results; Among them, maintenance work will be given priority in areas where pavement diseases have a greater impact on traffic; for areas where pavement diseases have a smaller impact on traffic, maintenance work will be given a lower priority or will not be performed when maintenance capacity is insufficient, until the impact of the disease increases to a certain extent or maintenance resources are sufficient to handle the pavement diseases of the corresponding road section; The prompt unit is used to issue prompt information.

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