A public transportation based road distress detection system

By integrating RTK positioning devices, 3D ground-penetrating radar, and industrial cameras into public transportation vehicles, high-frequency and intelligent detection of road defects is achieved, solving the problems of high cost and low efficiency of traditional detection methods and improving the efficiency and safety of urban road maintenance.

CN122385608APending Publication Date: 2026-07-14HUNAN ZHILI ENG SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUNAN ZHILI ENG SCI & TECH
Filing Date
2026-05-15
Publication Date
2026-07-14

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    Figure CN122385608A_ABST
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Abstract

The application provides a road disease detection system based on a public transport vehicle, relates to the technical field of road engineering detection technology, and comprises an RTK positioning device, a public transport vehicle, a workstation vehicle-mounted power supply line, a workstation positioning device connecting line, a three-dimensional ground penetrating radar, a workstation, a workstation industrial camera connecting line, a workstation three-dimensional ground penetrating radar connecting line and an industrial camera; the RTK positioning device, the three-dimensional ground penetrating radar and the industrial camera are electrically connected and in data communication with the workstation through the corresponding connecting lines. The application provides a road disease detection system based on a public transport vehicle, which loads detection equipment on a fixed-line public transport vehicle, realizes high-frequency and normalized road detection by relying on daily operation of the vehicle, does not need special detection vehicles and semi-closed road operation, greatly reduces the labor, equipment and time cost of road detection, and solves the problems of low traditional detection frequency, long cycle and high cost.
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Description

Technical Field

[0001] This invention relates to the field of road engineering inspection technology, specifically a road defect detection system based on public transportation vehicles. Background Technology

[0002] Currently, urban roads are prone to surface defects such as cracks, grooves, and potholes under long-term loads and environmental influences, as well as internal hidden defects such as voids, insufficient compaction, and loose structure, seriously affecting road service life and traffic safety. Traditional road inspections mainly rely on specialized inspection vehicles, which need to be carried out under semi-closed traffic conditions. This results in problems such as high inspection costs, low operating efficiency, long inspection cycles, and low frequency. A comprehensive inspection can usually only be completed once a year or even every few years, making it difficult to achieve timely detection, dynamic monitoring, and rapid treatment of road defects. This fails to meet the needs of routine, high-frequency, and refined maintenance of urban roads. Summary of the Invention

[0003] This application is made in view of the above-mentioned problems, and its purpose is to provide a road defect detection system based on public transportation vehicles to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a road defect detection system based on public transportation vehicles, comprising an RTK positioning device, a public transportation vehicle, a workstation on-board power supply line, a workstation positioning device connection line, a three-dimensional ground penetrating radar, a workstation, a workstation industrial camera connection line, a workstation three-dimensional ground penetrating radar connection line, and an industrial camera; The RTK positioning device, 3D ground-penetrating radar, and industrial camera are all electrically connected to the workstation and communicate with it via corresponding connection cables. The workstation is stably powered by the onboard power supply of the public transportation vehicle through the workstation vehicle power supply cable. The 3D ground-penetrating radar is used to collect data on road internal structural defects in real time. The industrial camera is used to collect image data of road surface defects in real time. The RTK positioning device is used to provide centimeter-level real-time coordinate position data. The workstation is used for data reception and processing, intelligent identification of defects, coordinate information binding, historical data comparison, and result storage and reporting.

[0005] Furthermore, the method for system detection includes the following steps: S1. Securely install the RTK positioning device, 3D ground-penetrating radar, industrial camera and workstation on the public transportation vehicle and complete the wiring and power supply debugging; S2. During the normal operation of public transportation along a fixed route, industrial cameras collect real-time images of the road surface, and three-dimensional ground-penetrating radar collects real-time data on the internal structure of the road. S3. The workstation performs real-time analysis of the collected images and structural data, and automatically identifies road surface defects and internal flaws. S4. The workstation accurately binds the identified defects and flaws with the real-time coordinate position data output by the RTK positioning device. S5. The workstation retrieves historical disease and defect data at the corresponding coordinates in the cloud or local database. S6. The workstation automatically compares the current detection data with the historical data in the database; S7. If the comparison data matches, the database will not be updated; if the comparison data does not match, the current data will be stored in the database and marked as new data, and a warning reminder will be sent to the road maintenance unit simultaneously.

[0006] Furthermore, the standardized data format stored in the database is coordinate position xyz, disease type a1, disease severity b1... disease type an, disease severity bn, defect type c1, defect severity c1... defect type dn, defect severity dn.

[0007] Furthermore, the public transportation vehicles are buses, subway cars, or trams that operate on fixed urban routes, relying on daily operations to achieve high-frequency, full-coverage road detection.

[0008] Furthermore, the three-dimensional ground-penetrating radar is specifically designed to detect hidden internal defects in roads, such as voids, insufficient compaction, and loose structures.

[0009] Furthermore, the industrial camera detects surface defects such as road cracks and grooves.

[0010] Furthermore, the workstation has real-time analysis, data comparison, database storage, and maintenance reminder functions.

[0011] Furthermore, after the workstation completes the comparison, it automatically highlights and classifies newly added defects, providing data support for road maintenance priority decisions.

[0012] Furthermore, the workstation implements two detection modes: initial exploration and routine exploration.

[0013] Furthermore, the system reduces road detection costs and increases detection frequency through high-frequency fixed route detection.

[0014] Compared with the prior art, the present invention has the following beneficial effects: by mounting the detection equipment on public transportation vehicles with fixed routes, high-frequency and routine road detection is achieved by relying on the daily operation of the vehicles. There is no need for dedicated detection vehicles and semi-closed road operations, which greatly reduces the manpower, equipment and time costs of road detection, solves the problems of low detection frequency, long cycle and high cost of traditional detection, and significantly improves the efficiency and response speed of road maintenance. By employing industrial cameras and 3D ground-penetrating radar to collect data in tandem, combined with RTK centimeter-level precise positioning and intelligent data comparison, it can simultaneously identify road surface defects and hidden internal defects, enabling early detection, early warning, and early treatment of defects, effectively eliminating road safety hazards, improving the operational safety and durability of urban roads, and providing reliable data for scientific road maintenance. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this drawing or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this drawing. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of a road defect detection system based on public transportation vehicles according to the present invention; Figure 2 This is a schematic diagram of the process structure of a road defect detection system based on public transportation vehicles according to the present invention.

[0017] In the diagram: 1. RTK positioning device; 2. Public transportation vehicle; 3. Workstation vehicle power supply line; 4. Workstation positioning device connection line; 5. 3D ground penetrating radar; 6. Workstation; 7. Workstation industrial camera connection line; 8. Workstation 3D ground penetrating radar connection line; 9. Industrial camera. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following description and illustration are provided in conjunction with embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0019] Obviously, the following description is merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios without any inventive effort. Furthermore, it is understood that although the effort involved in such development may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0020] Unless otherwise specified, the terms "comprising" and "including" as used in this application can be open-ended or closed-ended. For example, "comprising" and "including" can mean that other components not listed may also be included, or that only the listed components may be included.

[0021] Unless otherwise specified, the term "or" is inclusive in this application. For example, the phrase "A or B" means "A, B, or both A and B". More specifically, the condition "A or B" is satisfied by any of the following conditions: A is true (or exists) and B is false (or does not exist); A is false (or does not exist) and B is true (or exists); or both A and B are true or exist.

[0022] like Figures 1 to 2 As shown, a road defect detection system based on public transportation vehicles includes an RTK positioning device 1, a public transportation vehicle 2, a workstation on-board power supply line 3, a workstation positioning device connection line 4, a 3D ground-penetrating radar 5, a workstation 6, a workstation industrial camera connection line 7, a workstation 3D ground-penetrating radar connection line 8, and an industrial camera 9. The RTK positioning device 1, the 3D ground-penetrating radar 5, and the industrial camera 9 are all stably electrically connected to the workstation 6 and enable high-speed data communication via their respective connection lines. The connection lines are made of anti-interference shielding material, which can effectively avoid interference from electromagnetic signals in the vehicle environment on data transmission. The workstation 6 is stably powered by the on-board power supply of the public transportation vehicle 2 via the workstation on-board power supply line 3. The line is equipped with an overload protection module to ensure that each device receives a stable and safe power supply during vehicle operation. The 3D ground-penetrating radar 5 is used to collect data on road internal structural defects in real time, and can accurately capture road structural anomalies at different depths. The industrial camera 9 is used to collect image data of road surface defects in real time. The lens is equipped with a dustproof and waterproof shell to adapt to complex outdoor driving environments. The RTK positioning device 1 is used to provide centimeter-level real-time coordinate position data, which can resist complex urban obstruction environments and ensure positioning accuracy. The workstation 6 is used for data reception and processing, intelligent identification of defects, coordinate information binding, historical data comparison and result storage and reporting. It has a built-in dedicated data processing algorithm to achieve rapid data parsing and efficient processing.

[0023] The system testing process includes the following steps: S1. Securely install the RTK positioning device 1, 3D ground-penetrating radar 5, industrial camera 9, and workstation 6 on the public transportation vehicle 2 and complete the wiring and power supply debugging. The installation position has been optimized. The RTK positioning device 1 is installed on the top of the vehicle in an unobstructed position to ensure stable positioning signal. The 3D ground-penetrating radar 5 is installed at the bottom of the vehicle corresponding to the road surface to ensure detection accuracy. The industrial camera 9 is installed at the front of the vehicle to fully cover the road surface ahead and detect surface defects such as road cracks and grooves. The workstation 6 has real-time analysis, data comparison, database storage, and maintenance reminder functions. After the workstation 6 completes the comparison, it automatically highlights and classifies newly added defects. The classification is based on core indicators such as defect area, depth, and impact range, providing accurate data support for road maintenance priority decisions. The workstation 6 realizes two detection modes: initial detection and routine detection. The initial detection is used to establish an initial road defect database, and the routine detection is used to dynamically monitor changes in defects.

[0024] S2, During the normal operation of public transportation vehicle 2 along a fixed route, industrial camera 9 collects real-time images of the road surface. The collection frequency is matched with the vehicle's speed to ensure no road surface is missed. 3D ground-penetrating radar 5 collects real-time data on the internal structure of the road. The detection depth can be flexibly adjusted according to the road type. Public transportation vehicle 2 is a bus, subway car, or tram that operates on a fixed urban route. It achieves high-frequency, full-coverage road detection based on daily operation, without the need for additional dedicated detection vehicles. 3D ground-penetrating radar 5 is specifically designed to detect hidden internal defects such as road voids, insufficient compaction, and loose structure. It can effectively discover structural hazards that are not easily detected below the road surface and avoid the risk of road damage in advance.

[0025] S3 and workstation 6 perform real-time analysis of the collected images and structural data. They use intelligent recognition algorithms to automatically identify surface defects in the images and internal defects in the radar data. The recognition accuracy has been optimized through on-site testing and can effectively distinguish between real defects and invalid information such as road debris and light and shadow interference, thus reducing misjudgments.

[0026] S4 and workstation 6 accurately bind the identified defects and fault data with the real-time coordinate location data output by RTK positioning device 1, with the binding error controlled at the centimeter level, ensuring that each defect and fault can be accurately located to the specific road location, providing precise guidance for subsequent maintenance and construction.

[0027] S5 and workstation 6 can access historical disease and defect data at corresponding coordinate locations in the cloud or local database. The database has data encryption storage function to ensure data security and integrity. Data storage methods can be flexibly selected according to actual needs to meet the different urban management and maintenance needs.

[0028] S6 and workstation 6 automatically compare the current detection data with historical data in the database. The comparison process adopts a point-to-point precise comparison mode, focusing on comparing core parameters such as disease type, disease severity, and defect range to ensure the accuracy of the comparison results.

[0029] S7. If the comparison data matches, the database will not be updated to maintain the continuity of historical data. If the comparison data does not match, the current data will be stored in the database and marked as new data. At the same time, an early warning reminder will be sent to the road maintenance unit. The early warning reminder can be sent through various means such as SMS and platform push to ensure that maintenance personnel are informed in a timely manner. The standardized data format stored in the database is coordinate position xyz, disease type a1, disease degree b1... disease type an, disease degree bn, defect type c1, defect degree c1... defect type dn, defect degree dn. The standardized format facilitates data sharing and cross-platform access. The system uses high-frequency fixed route detection to significantly reduce road detection costs and significantly increase detection frequency, enabling early detection and early treatment of road defects.

[0030] In summary, using public transportation vehicle 2 as the carrier, the onboard power supply provides stable power to workstation 6, RTK positioning device 1, 3D ground-penetrating radar 5, and industrial camera 9 via workstation onboard power supply line 3. As the vehicle travels along a fixed route, industrial camera 9 collects real-time images of the road surface, transmitting them to workstation 6 via workstation industrial camera connection line 7 for identifying surface defects such as cracks, grooves, and potholes. Simultaneously, 3D ground-penetrating radar 5 collects echo data of the road's internal structure, transmitting it to workstation 6 via workstation 3D ground-penetrating radar connection line 8 for identifying internal defects such as voids and insufficient compaction. RTK positioning device 1 outputs centimeter-level xyz 3D coordinates to workstation 6 in real-time via workstation positioning device connection line 4. Workstation 6 analyzes and identifies the images and radar data, pinpointing defects or deficiencies. The system precisely binds the information to the corresponding coordinates, and then automatically retrieves historical data for that location from the database for comparison: if the data matches, no update is made; if they do not match, the current data is stored in the database and marked as new data, and an early warning is issued to the maintenance unit simultaneously. This achieves an integrated working mechanism for the simultaneous detection, precise positioning, intelligent comparison, and dynamic updating of road surface defects and internal defects. The system relies on the daily operation of public transport vehicles to achieve uninterrupted inspections, eliminating the need for dedicated inspection vehicles and road closures, significantly reducing inspection costs, increasing inspection frequency, and minimizing the impact on urban traffic. The automatic data comparison and marking function can effectively distinguish between new and old defects, reduce redundant data interference, and improve the targeting and efficiency of maintenance, providing continuous and reliable data support and scientific decision-making basis for the full-cycle, refined, and intelligent maintenance of urban roads.

[0031] It should be noted that this application is not limited to the above-described embodiments. The above embodiments are merely examples, and any embodiments with the same structure and effect as the technical concept within the scope of this application are included in the technical scope of this application. Furthermore, various modifications that can be conceived by those skilled in the art to the embodiments, and other ways of constructing by combining some of the constituent elements of the embodiments, without departing from the spirit of this application, are also included in the scope of this application.

Claims

1. A road defect detection system based on public transportation vehicles, characterized in that: Includes RTK positioning device (1), public transportation vehicle (2), workstation vehicle power supply line (3), workstation positioning device connection line (4), three-dimensional ground penetrating radar (5), workstation (6), workstation industrial camera connection line (7), workstation three-dimensional ground penetrating radar connection line (8) and industrial camera (9); The RTK positioning device (1), the three-dimensional ground penetrating radar (5), and the industrial camera (9) are all electrically connected and communicate with the workstation (6) through corresponding connecting lines. The workstation (6) is stably powered by the on-board power supply of the public transportation vehicle (2) through the workstation vehicle power supply line (3). The three-dimensional ground penetrating radar (5) is used to collect data on the internal structural defects of the road in real time. The industrial camera (9) is used to collect image data of road surface defects in real time. The RTK positioning device (1) is used to provide centimeter-level real-time coordinate position data. The workstation (6) is used for data reception and processing, intelligent identification of defects, coordinate information binding, historical data comparison, and result storage and reporting.

2. The road defect detection system based on public transportation vehicles according to claim 1, characterized in that: The method for system detection includes the following steps: S1. Securely install the RTK positioning device (1), three-dimensional ground-penetrating radar (5), industrial camera (9) and workstation (6) on the public transportation vehicle (2) and complete the wiring and power supply debugging; S2. During the normal operation of public transportation vehicles (2) along a fixed route, industrial cameras (9) collect images of the road surface in real time, and three-dimensional ground-penetrating radar (5) collects data on the internal structure of the road in real time. S3, Workstation (6) performs real-time analysis of the collected images and structural data, and automatically identifies road surface defects and internal defects; S4. The workstation (6) accurately binds the identified disease and defect data with the real-time coordinate position data output by the RTK positioning device (1); S5. The workstation (6) calls the historical disease and defect data corresponding to the coordinates in the cloud or local database; S6. The workstation (6) automatically compares the current detection data with the historical data in the database; S7. If the comparison data matches, the database will not be updated; if the comparison data does not match, the current data will be stored in the database and marked as new data, and a warning reminder will be sent to the road maintenance unit simultaneously.

3. The road defect detection system based on public transportation vehicles according to claim 1, characterized in that: The database stores standardized data in the following format: coordinate position xyz, disease type a1, disease severity b1... disease type an, disease severity bn, defect type c1, defect severity c1... defect type dn, defect severity dn.

4. The road defect detection system based on public transportation vehicles according to claim 1, characterized in that: The public transportation vehicle (2) refers to a bus, subway vehicle or tram that runs on a fixed urban route, and relies on daily operation to achieve high-frequency and full-coverage road detection.

5. The road defect detection system based on public transportation vehicles according to claim 1, characterized in that: The three-dimensional ground-penetrating radar (5) is used to detect hidden internal defects such as road voids, insufficient compaction, and loose structure.

6. The road defect detection system based on public transportation vehicles according to claim 1, characterized in that: The industrial camera (9) detects road cracks and grooves on the surface.

7. The road defect detection system based on public transportation vehicles according to claim 1, characterized in that: The workstation (6) has real-time analysis, data comparison, database storage and maintenance reminder functions.

8. A road defect detection system based on public transportation vehicles according to claim 7, characterized in that: After the workstation (6) completes the comparison, it automatically highlights and classifies the newly added defects, providing data support for road maintenance priority decision-making.

9. A road defect detection system based on public transportation vehicles according to claim 7, characterized in that: The workstation (6) implements two detection modes: initial exploration and routine exploration.

10. A road defect detection system based on public transportation vehicles according to claim 7, characterized in that, The system reduces road detection costs and increases detection frequency through high-frequency fixed-route detection.