Road detection early warning management system based on radar, 5G and Beidou

Abstract

The invention discloses a road detection early warning management system based on radar + 5G + Beidou, and the system comprises the following steps: S1, a radar detection unit generates road surface state information data, and a Beidou positioning unit carries out the real-time positioning of a detected and marked road and a damaged position; and S2, the data acquisition unit acquires data generated in the detection process in real time, and the 5G data transmission unit transmits the data to the data storage unit in real time for storage. The data processing unit calculates a road damage index, a crack risk level and a priority repair index by using multi-dimensional information data of a gray level acquisition module, an electric wave acquisition module, a signal acquisition module and the like and combining a mathematical formula, so that the road crack and the severity of the road crack can be accurately identified; and the hazard level of the crack is dynamically evaluated according to traffic parameters such as traffic flow and vehicle volume, a repair priority list is generated, and a scientific basis is provided for road maintenance.

Description

Technical Field

[0001] The present invention relates to the field of road detection technology, and more specifically discloses a road detection early warning management system based on radar+5G+Beidou. Background Art

[0002] With the acceleration of urbanization and the continuous growth of traffic demand, the bearing pressure of the road network is increasing, and the surge in traffic volume has made the problem of road damage more prominent. Cracks on the road surface not only seriously affect driving comfort, but also may cause traffic accidents, threatening the safety of public life and property. Traditional road inspection methods mainly rely on manual inspections, that is, professionals conduct regular field surveys of roads and identify road diseases through visual observation or simple tool measurements. However, the accuracy and consistency of manual inspections are poor, and they are easily affected by the experience level and subjective judgment of inspectors. At the same time, the cost of manual inspections is high, requiring a lot of manpower, material resources and time resources. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to solve the problem that the traditional road inspection method mainly relies on manual inspection, and identifies road defects through visual observation or simple tool measurement, which makes the accuracy and consistency of manual inspection poor and is easily affected by the experience level and subjective judgment of the inspectors. At the same time, the cost of manual inspection is high and requires a lot of manpower, material and time resources.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, a road detection and early warning management system based on radar + 5G + Beidou, the system comprises the following steps: S1. The radar detection unit generates road surface status information data, and the Beidou positioning unit locates the detected marked road and its damaged position in real time; S2, the data collection unit collects the data generated during the detection process in real time, and the 5G data transmission unit transmits the data in real time to the data storage unit for storage; S3, the data processing unit generates a road detection report based on the stored data analysis and processing results, and forwards the obtained processing and analysis results to the remote monitoring unit; S31, the data processing unit analyzes the grayscale of the image and the energy intensity information data of the radio wave to obtain a road damage index; S32, the data processing unit analyzes the radio wave reflection signal strength information data to obtain the crack risk level, and determines the possibility of a traffic accident when the car is driving at the crack; S33, the data processing unit analyzes the traffic flow at the crack and the volume data of the cars at the crack to obtain a priority repair index and determine the order of dispatching workers; S4. The remote monitoring unit displays the stored data and analysis results in real time on the background terminal. When the analysis result obtained by the data processing unit is abnormal, an alarm is sent to the background terminal.

[0005] Furthermore, the data acquisition unit includes: a grayscale acquisition module and an electric wave acquisition module; Grayscale acquisition module: used to collect grayscale information data of pictures taken by radar detection unit in real time; Radio wave acquisition module: used to collect the intensity information data of the radio waves emitted by the radar detection unit in real time.

[0006] Furthermore, the data acquisition unit further comprises: a signal acquisition module, a vehicle flow acquisition module and a volume acquisition module; Signal acquisition module: used to collect the radar radio wave reflection signal strength information data of the radar detection unit in real time; Traffic flow collection module: used to collect traffic flow information data of cars passing through road cracks in real time; Volume acquisition module: used to collect volume information data of cars passing through road cracks in real time.

[0007] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, a report generation module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Report generation module: used to generate a road inspection report based on the analysis and judgment results of the analysis and judgment module; Result forwarding module: used to forward the report results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

[0008] Furthermore, the remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the background terminal display screen; Abnormal alarm module: used to send an alarm prompt to the background terminal when the result obtained by the analysis and judgment module is abnormal.

[0009] Furthermore, the analysis and judgment module can obtain the grayscale of the picture taken by the radar detection unit and the energy intensity information data of the radio waves emitted by the radar detection unit from the data acquisition module, and obtain the road damage index through the analysis of the above acquired data: , like , it means that the road is damaged by cracks, which will trigger the abnormal alarm module to send an alarm prompt to the background terminal, and locate and mark the damaged road position through the Beidou positioning unit. is the road damage index, is the horizontal length of the road crack image taken, is the vertical length of the road crack image taken, Photo taken for road cracks The gray value at the position, is the average gray value of a normal road, The energy intensity of the radio waves emitted by the radar detection unit, The energy intensity of the radio waves received by the radar detection unit, is the propagation time of radar radio waves from emission to reception, is the preset threshold parameter for road damage.

[0010] Furthermore, the analysis and judgment module can obtain the radar radio wave reflection signal strength information data of the radar detection unit from the data acquisition module, and obtain the crack risk level through the analysis of the above acquired data: , in, is the crack risk level, is the horizontal length of the road crack image taken, is the vertical length of the road crack image taken, is the radar radio wave reflection signal strength of normal roads, For road cracks The radar radio wave reflected signal strength at the location, is the area of ​​the road cracks photographed, is the maximum depth of road cracks, is the conversion factor for risk level.

[0011] Furthermore, the analysis and judgment module can obtain the traffic flow of cars passing through the road cracks and the volume information data of cars passing through the road cracks from the data acquisition module, and obtain the priority repair index through the analysis of the above acquired data: , in, is the priority repair index, The duration of information data collection, For the The traffic volume of cars passing through the cracks in the road, is the total number of times the car passes through the road cracks, For the The volume of cars passing through the cracks in the road, is the road damage index, is the crack risk level, is the weight coefficient of road damage, is the weight coefficient of crack risk, is the conversion factor for road rehabilitation.

[0012] The beneficial effects of the radar + 5G + Beidou road detection and early warning management system of the present invention are: the radar detection unit transmits radio waves and receives reflected signals, generates road surface status information data in real time, and combines the Beidou positioning unit to accurately locate and mark the damaged road position, effectively solving the problems of low efficiency, poor accuracy and high cost of traditional manual inspection. The system realizes high-speed data transmission through the 5G data transmission unit to ensure the real-time and accuracy of the detection data. The data processing unit uses multi-dimensional information data such as grayscale acquisition module, radio wave acquisition module, signal acquisition module, etc., and combines mathematical formulas to calculate the road damage index, crack risk level and priority repair index, which can accurately identify road cracks and their severity, and dynamically evaluate the hazard level of cracks according to traffic parameters such as traffic flow and vehicle volume, generate a repair priority list, and provide a scientific basis for road maintenance. The remote monitoring unit displays the detection results in real time and issues an alarm in abnormal situations, which significantly improves the intelligent level of road detection. The system can not only greatly reduce the cost and time of manual inspection, but also realize all-weather and full-coverage road status monitoring, timely discover and warn road diseases, and avoid safety hazards caused by delayed repair. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0014] Figure 1 This is a schematic diagram of the system principle. DETAILED DESCRIPTION

[0015] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0016] According to one aspect of the present invention, Figure 1As shown, a road detection and early warning management system based on radar + 5G + Beidou is provided. First, radio waves are emitted to the detected road and reflected signals are received by the radar detection unit, and road surface status information data is generated. Then, the road position detected by the radar detection unit is located in real time according to the Beidou positioning unit, and the damaged road position is marked. Then, the grayscale acquisition module, the radio wave acquisition module, the signal acquisition module, the vehicle flow acquisition module and the volume acquisition module are used to respectively collect the grayscale of the picture taken by the radar detection unit, the energy intensity of the radio waves emitted by the radar detection unit, the intensity of the reflected signal of the radar radio waves of the radar detection unit, the vehicle flow at the cracks of the road where the car passes by, and the volume information data of the car passing by the cracks of the road in real time.

[0017] Then, the collected data is transmitted to the data storage unit in real time through the 5G data transmission unit, and then the information data is obtained from the data storage unit through the data acquisition module in the data analysis unit. Further, the obtained information data is processed and analyzed through the analysis and judgment module.

[0018] Afterwards, when the analysis and judgment results of the analysis and judgment module show abnormal conditions, the abnormal alarm module will be triggered to alarm the background terminal, and a road detection report will be generated and displayed in the data display module.

[0019] The data receiving module in the remote monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the background terminal display screen through the data display module.

[0020] The analysis and judgment module can obtain the grayscale of the image taken by the radar detection unit and the energy intensity information data of the radio waves emitted by the radar detection unit from the data acquisition module, and analyze the above acquired data to obtain the road damage index: , like , it means that the road is damaged by cracks, which will trigger the abnormal alarm module to send an alarm prompt to the background terminal, and locate and mark the damaged road position through the Beidou positioning unit. , it means that the road is not damaged by cracks, among which, is the road damage index, is the horizontal length of the road crack image taken, is the vertical length of the road crack image taken, Photo taken for road cracks The gray value at the position, is the average gray value of a normal road, The energy intensity of the radio waves emitted by the radar detection unit, The energy intensity of the radio waves received by the radar detection unit, is the propagation time of radar radio waves from emission to reception, is the preset threshold parameter of road damage. During the data collection process, the horizontal and vertical lengths of the road crack images taken are: , the average gray value of normal roads , , The energy intensity of the radio waves emitted by the radar detection unit , the energy intensity of the radio waves received by the radar detection unit , the propagation time of radar radio waves from transmission to reception , preset threshold parameters for road damage , therefore, ,because, , it means that the road is damaged by cracks, which will trigger the abnormal alarm module to send an alarm prompt to the background terminal, and locate and mark the damaged road position through the Beidou positioning unit.

[0021] The analysis and judgment module can obtain the radar radio wave reflection signal strength information data of the radar detection unit from the data acquisition module, and obtain the crack risk level through the analysis of the above acquired data: , Crack risk level The larger the value, the higher the possibility of a traffic accident when the car is driving on the crack. is the crack risk level, is the horizontal length of the road crack image taken, is the vertical length of the road crack image taken, is the radar radio wave reflection signal strength of normal roads, For road cracks The radar radio wave reflected signal strength at the location, is the area of ​​the road cracks photographed, is the maximum depth of road cracks, is the conversion coefficient of risk level. During the data collection process, the horizontal and vertical lengths of the road crack images taken are: , radar radio wave reflection signal strength on normal roads, radar radio wave reflection signal strength on normal roads , , The area of ​​road cracks photographed , the maximum depth of road cracks , the conversion factor of risk level , therefore, .

[0022] The analysis and judgment module can obtain the traffic flow and volume information data of cars passing through the road cracks from the data acquisition module, and obtain the priority repair index through the analysis of the above acquired data: , According to the detected multiple road gaps, the priority repair index of each road gap is analyzed and calculated respectively. , and sort them according to the numerical value of the priority repair index. The larger the value, the higher the priority of the crack repair, and the more staff need to be dispatched first. Repair work is carried out on the cracks with large values, among which, is the priority repair index, The duration of information data collection, For the The traffic volume of cars passing through the cracks in the road, is the total number of times the car passes through the road cracks, For the The volume of cars passing through the cracks in the road, is the road damage index, is the crack risk level, is the weight coefficient of road damage, is the weight coefficient of crack risk, is the conversion coefficient for road repair. During data collection, the road damage index , crack risk level , weight coefficient of road damage , the weight coefficient of crack risk , conversion factor for road rehabilitation , information data collection time , the total number of times the car passes through the road cracks , therefore, , and then according to the three detected road gaps, use the above formula to analyze and calculate the priority repair index of each road gap: , This indicates that the crack The repair priority at the site is the highest, and staff need to be dispatched first to carry out repair work on the crack location according to the satellite positioning unit.

[0023] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A road detection and early warning management system based on radar + 5G + Beidou, characterized in that: The system includes the following steps: S1. The radar detection unit generates road surface status information data, and the Beidou positioning unit locates the detected marked road and its damaged position in real time; S2, the data collection unit collects the data generated during the detection process in real time, and the 5G data transmission unit transmits the data in real time to the data storage unit for storage; S3, the data processing unit generates a road detection report based on the stored data analysis and processing results, and forwards the obtained processing and analysis results to the remote monitoring unit; S31, the data processing unit analyzes the grayscale of the image and the energy intensity information data of the radio wave to obtain a road damage index; S32, the data processing unit analyzes the radio wave reflection signal strength information data to obtain the crack risk level, and determines the possibility of a traffic accident when the car is driving at the crack; S33, the data processing unit analyzes the traffic flow at the crack and the volume data of the cars at the crack to obtain a priority repair index and determine the order of dispatching workers; S4. The remote monitoring unit displays the stored data and analysis results in real time on the background terminal. When the analysis result obtained by the data processing unit is abnormal, an alarm is sent to the background terminal.

2. According to claim 1, a radar + 5G + Beidou road detection early warning management system is characterized in that: The data acquisition unit includes: a grayscale acquisition module and an electric wave acquisition module; Grayscale acquisition module: used to collect grayscale information data of pictures taken by radar detection unit in real time; Radio wave acquisition module: used to collect the intensity information data of the radio waves emitted by the radar detection unit in real time.

3. According to claim 2, a radar+5G+Beidou road detection early warning management system is characterized in that: The data acquisition unit further includes: a signal acquisition module, a vehicle flow acquisition module and a volume acquisition module; Signal acquisition module: used to collect the radar radio wave reflection signal strength information data of the radar detection unit in real time; Traffic flow collection module: used to collect traffic flow information data of cars passing through road cracks in real time; Volume acquisition module: used to collect volume information data of cars passing through road cracks in real time.

4. According to claim 3, a radar + 5G + Beidou road detection early warning management system is characterized in that: The data processing unit includes: a data acquisition module, an analysis and judgment module, a report generation module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Report generation module: used to generate a road inspection report based on the analysis and judgment results of the analysis and judgment module; Result forwarding module: used to forward the report results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

5. A road detection and early warning management system based on radar + 5G + Beidou according to claim 4, characterized in that: The remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the background terminal display screen; Abnormal alarm module: used to send an alarm prompt to the background terminal when the result obtained by the analysis and judgment module is abnormal.

6. A road detection and early warning management system based on radar + 5G + Beidou according to claim 5, characterized in that: The analysis and judgment module can obtain the grayscale of the picture taken by the radar detection unit and the energy intensity information data of the radio waves emitted by the radar detection unit from the data acquisition module, and obtain the road damage index through the analysis of the above acquired data: 、 like , it means that the road is damaged by cracks, which will trigger the abnormal alarm module to send an alarm prompt to the background terminal, and locate and mark the damaged road position through the Beidou positioning unit. is the road damage index, is the horizontal length of the road crack image taken, is the vertical length of the road crack image taken, Photo taken for road cracks The gray value at the position, is the average gray value of a normal road, The energy intensity of the radio waves emitted by the radar detection unit, The energy intensity of the radio waves received by the radar detection unit, is the propagation time of radar radio waves from emission to reception, is the preset threshold parameter for road damage.

7. A radar+5G+Beidou road detection and early warning management system according to claim 6, characterized in that: The analysis and judgment module can obtain the radar radio wave reflection signal strength information data of the radar detection unit from the data acquisition module, and obtain the crack risk level through the above acquired data analysis: 、 in, is the crack risk level, is the horizontal length of the road crack image taken, is the vertical length of the road crack image taken, is the radar radio wave reflection signal strength of normal roads, For road cracks The radar radio wave reflected signal strength at the location, is the area of ​​the road cracks photographed, is the maximum depth of road cracks, is the conversion factor for risk level.

8. The radar+5G+Beidou road detection and early warning management system according to claim 7 is characterized in that: The analysis and judgment module can obtain the traffic flow of cars passing through the road cracks and the volume information data of cars passing through the road cracks from the data acquisition module, and obtain the priority repair index through the analysis of the above acquired data: 、 in, is the priority repair index, The duration of information data collection, For the The traffic volume of cars passing through the cracks in the road, is the total number of times the car passes through the road cracks, For the The volume of cars passing through the cracks in the road, is the road damage index, is the crack risk level, is the weight coefficient of road damage, is the weight coefficient of crack risk, is the conversion factor for road rehabilitation.

Images