CN-116591004-B - Pavement collapse degree detection method and system suitable for different roads

CN116591004BCN 116591004 BCN116591004 BCN 116591004BCN-116591004-B

Abstract

The invention discloses a pavement collapse degree detection method and system suitable for different roads, wherein the pavement collapse degree detection method and system comprises a road information acquisition module, an image information acquisition module, an environment information acquisition module, an earthquake information acquisition module, a data receiving module, a data processing module, a general control module and an information sending module, wherein the road information acquisition module is used for acquiring road information, the road information comprises road pavement information and road construction time information, the image information acquisition module is used for acquiring road image information, the environment information acquisition module is used for acquiring environment information of a road, the earthquake information acquisition module is used for acquiring earthquake information of a position of the road, and the data receiving module is used for receiving the road information, the road image information, the environment information of the road and the earthquake information of the position of the road. The invention can more accurately detect the collapse degree of the pavement and has wider application range.

Inventors

SHAO XUEJUN
PENG DONG
MEI ZHIPING
CHEN HAIRONG
GUO FANRONG
HU XIANG
GONG SHAOBO
CHEN FENG

Assignees

江苏筑升土木工程科技有限公司

Dates

Publication Date: 20260505
Application Date: 20230518

Claims (9)

1. The pavement collapse degree detection system suitable for different roads is characterized by comprising a road information acquisition module, an image information acquisition module, an environment information acquisition module, an earthquake information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module; the road information acquisition module is used for acquiring road information, wherein the road information comprises road surface information and road construction time information; The image information acquisition module is used for acquiring road image information, the environment information acquisition module is used for acquiring environment information of a road, and the seismic information acquisition module is used for acquiring seismic information of the position of the road; the data receiving module is used for receiving road information, road image information, environment information where the road is located and seismic information where the road is located, recording the information and then sending the information to the data processing module; The data processing module is used for processing the received road information, road image information, environment information where the road is located and seismic information where the road is located to generate first detection information or second detection information or third detection information; After any one of the first detection information, the second detection information and the third detection information is generated, the master control module sends a control instruction to the collapse detection module, and the collapse detection module operates to generate collapse detection information; After the collapse detection information is generated, the master control module controls the information sending module to send the collapse detection information to a preset receiving terminal for collapse detection, and collapse detection parameters are obtained; The collapse detection parameters are sent to a data processing module for data processing to generate collapse detection evaluation information; Continuously detecting a ground penetrating radar for at least three times within a preset time period, marking data of the ground penetrating radar as Z1, Z2 and Z3, calculating the mean value of Z1, Z2 and Z3, namely acquiring a first detection parameter, acquiring image data for at least five times, and calculating the mean value of variation parameters in the acquired image data, namely acquiring a second detection parameter, wherein the first detection parameter and the second detection parameter form the collapse detection parameter; the specific processing procedure of the first detection information, the second detection information and the third detection information is as follows: extracting collected road information, extracting road pavement information and road construction time length information from the road information, and processing the road pavement information and the road construction time length information to obtain a first evaluation parameter; Extracting image information, processing the image information to obtain passing vehicle quantity information and warning vehicle type quantity information, and processing the passing vehicle quantity information and the warning vehicle type quantity information to obtain second evaluation parameters; extracting the collected environmental information of the road, and processing the environmental information to generate a third evaluation parameter; Extracting the seismic information of the position of the road, and processing the seismic information to obtain fourth evaluation parameter information; Step five, calculating the first evaluation parameter, the second evaluation parameter, the third evaluation parameter and the fourth evaluation parameter, and obtaining the total sum of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter and the fourth evaluation parameter to obtain the total evaluation parameter; and step six, when the total evaluation parameter is larger than a preset value, generating third detection information, when the total evaluation parameter is within the preset value range, generating second detection information, and when the total evaluation parameter is smaller than the preset value, generating first detection information.
2. The pavement collapse degree detection system suitable for different roads according to claim 1 is characterized in that the specific processing process of the first evaluation parameters comprises the steps of extracting collected road pavement information and road construction time information, analyzing the road pavement information to obtain a pavement component K1, wherein the pavement component K1 is a preset value a1 when the road pavement is a cement concrete pavement, the pavement component K1 is a preset value a2 when the road pavement is an asphalt pavement, and the pavement component K1 is a preset value a3 when the road pavement is a non-cement concrete pavement and an asphalt pavement, and a1< a2< a3; Extracting road construction time length information, evaluating the road construction time length information to obtain a time length score K2, wherein the time length score K2 is a preset value b1 when the road construction time length information is larger than a preset value, the time length score K2 is a preset value b2 when the road construction time length information is within the preset value time length, and the time length score K2 is a preset value b3, b3> b2> b1 when the road construction time length information is smaller than the preset value; And then calculating the sum of the pavement component K1 and the time component K2, namely obtaining a first evaluation parameter Kk.
3. The pavement collapse degree detection system suitable for different roads is characterized by comprising the specific processes of presetting vehicle model information, wherein the vehicle model information comprises a large-sized vehicle model, a medium-sized vehicle model and a small-sized vehicle model, the road image information is road vehicle passing image information within preset time length, analyzing the small-sized vehicle number information, the medium-sized vehicle number information and the large-sized vehicle number information from the road image information, and calculating the sum of the small-sized vehicle number information, the medium-sized vehicle number information and the large-sized vehicle number information, namely obtaining passing vehicle number information, wherein the number of the warning vehicle types is the same as the number of the large-sized vehicles; The specific processing process of the second evaluation parameter comprises the steps of extracting the number information of passing vehicles and the number information of warning vehicles, continuously collecting the number information of x times of passing vehicles, wherein x is more than or equal to 5, calculating the average value of the number information of x times of passing vehicles, obtaining average number information F1, continuously collecting the number information of x times of warning vehicles, calculating the average value of the number information of x times of warning vehicles, obtaining average number information F2 of warning vehicles, scoring F1, scoring F2, and calculating the sum of the score of F1 and the score of F2, wherein the score of F2 is larger as F1 is larger, and the second evaluation parameter is obtained.
4. The pavement collapse degree detection system for different roads according to claim 2, wherein the specific processing process of the third evaluation parameter is that the collected environmental information of the road is extracted, the environmental information is month average rainfall information of the position of the road, the month average rainfall information is scored to obtain the third evaluation parameter, the third evaluation parameter is larger as the month average rainfall information is larger, and otherwise, the third evaluation parameter is smaller as the month average rainfall information is larger.
5. The pavement collapse degree detection system for different roads according to claim 1, wherein the specific processing process of the fourth evaluation parameter is that the seismic information of the position of the road is extracted, the seismic information is the seismic frequency information of the position of the road within a preset duration, the fourth evaluation parameter is obtained by processing the seismic frequency information, the larger the seismic frequency information is, the larger the fourth evaluation parameter is, and the smaller the larger the seismic frequency information is, otherwise.
6. The pavement collapse degree detection system suitable for different roads according to claim 1, wherein collapse detection information in the generation of the first detection information comprises detection of a ground penetrating radar at intervals of a preset duration c1 and image data analysis at intervals of a preset duration d 1; The collapse detection information during the generation of the second detection information comprises detection of the ground penetrating radar at intervals of a preset time length c2 and image data analysis at intervals of a preset time length d 2; The collapse detection information during the generation of the third detection information is that the detection of the ground penetrating radar is carried out once every preset time length c3, and the image data analysis is carried out once every preset time length d 3.
7. The system for detecting the collapse degree of the pavement suitable for different roads according to claim 6, wherein the collapse detection evaluation information comprises normal collapse and abnormal collapse, the acquired collapse detection parameters are extracted, the first detection parameters and the second detection parameters are obtained from the collapse detection parameters, normal collapse is generated when the first detection parameters and the second detection parameters are smaller than preset values, and abnormal collapse is generated when the first detection parameters and the second detection parameters are larger than preset values.
8. The pavement collapse degree detection system for different roads according to claim 7, wherein the specific process of the image data analysis is that measurement marks are arranged at preset positions of the roads, the positions of the measurement marks are collected in real time through image collection equipment, height change images of the measurement marks are recorded, and then change parameters are obtained after the height change of the measurement marks in the image duration is calculated.
9. A method for detecting the collapse degree of a pavement suitable for different roads, which is applied to the detection system of any one of claims 1 to 8, and is characterized in that the method comprises the following steps: step one, collecting road information, wherein the collected road information comprises road surface information and road construction time information; acquiring road image information through an image information acquisition module, acquiring environment information of a road by an environment information acquisition module, and acquiring seismic information of the position of the road by a seismic information acquisition module; The data processing module processes the received road information, road image information, environment information where the road is located and seismic information where the road is located to generate first detection information or second detection information or third detection information; Step four, after any one of the first detection information, the second detection information and the third detection information is generated, the master control module sends a control instruction to the collapse detection module, and the collapse detection module operates to generate collapse detection information; step five, after collapse detection information is generated, the master control module controls the information sending module to send the collapse detection information to a preset receiving terminal for collapse detection, and collapse detection parameters are obtained; And step six, the collapse detection parameters are sent to a data processing module for data processing to generate collapse detection evaluation information.

Description

Pavement collapse degree detection method and system suitable for different roads Technical Field The invention relates to the field of detection systems, in particular to a pavement collapse degree detection method and system suitable for different roads. Background The collapse of the road surface is a phenomenon that the road surface is sunk due to vertical deformation of the roadbed and the road surface. The pavement subsidence generally has uniform subsidence, namely, the pavement is further compact and stable under the natural factors and the driving action, and the pavement is generally not damaged due to the subsidence caused by the natural factors and the driving action. Uneven subsidence, namely deformation caused by running under the action of water erosion due to non-compaction of roadbed and road surface and uneven rolling. Local subsidence, namely, the roadbed is not filled tightly or has graves, dumb well, tree pits, grooves and the like, when being eroded by water, the roadbed is subsided; When the pavement collapse degree is detected, the pavement collapse degree detection method and system are needed to be used, and the pavement collapse degree can be known through the pavement collapse degree detection method and system, so that a pavement repair plan is formulated. The existing pavement collapse degree detection method and system are poor in detection effect in the actual use process, single in application range and capable of bringing a certain influence to the use of the pavement collapse degree detection method and system, and therefore the pavement collapse degree detection method and system suitable for different roads are provided. Disclosure of Invention The invention aims to solve the technical problems that how to solve the existing pavement collapse degree detection method and system has poor detection effect and single application range in the actual use process, and brings a certain influence to the use of the pavement collapse degree detection method and system, and provides the pavement collapse degree detection method and system suitable for different roads. The invention solves the technical problems through the following technical scheme that the system comprises a road information acquisition module, an image information acquisition module, an environment information acquisition module, an earthquake information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module; the road information acquisition module is used for acquiring road information, wherein the road information comprises road surface information and road construction time information; The image information acquisition module is used for acquiring road image information, the environment information acquisition module is used for acquiring environment information of a road, and the seismic information acquisition module is used for acquiring seismic information of the position of the road; the data receiving module is used for receiving road information, road image information, environment information where the road is located and seismic information where the road is located, recording the information and then sending the information to the data processing module; The data processing module is used for processing the received road information, road image information, environment information where the road is located and seismic information where the road is located to generate first detection information or second detection information or third detection information; After any one of the first detection information, the second detection information and the third detection information is generated, the master control module sends a control instruction to the collapse detection module, and the collapse detection module operates to generate collapse detection information; After the collapse detection information is generated, the master control module controls the information sending module to send the collapse detection information to a preset receiving terminal for collapse detection, and collapse detection parameters are obtained; The collapse detection parameters are sent to a data processing module for data processing to generate collapse detection evaluation information. Further, the specific processing procedure of the first detection information, the second detection information and the third detection information is as follows: extracting collected road information, extracting road pavement information and road construction time length information from the road information, and processing the road pavement information and the road construction time length information to obtain a first evaluation parameter; Extracting image information, processing the image information to obtain passing vehicle quantity information and warning vehicle type quantity information, and processing the passing vehicle quantity information and the warnin