Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Intelligent road flatness testing method
The invention relates to the technical field of road flatness testing, in particular to an intelligent road flatness testing method which comprises the following steps: based on a mobile laser scanning technology, continuously scanning a road surface, transmitting a laser beam to the surface of the road by a laser, capturing the reflected light beam by a sensor, forming a series of speckle images, and generating a speckle image sequence. According to the method, the high-precision mobile laser scanning technology and the deep learning algorithm are introduced, accurate evaluation and real-time monitoring of the road flatness are achieved, the testing efficiency and precision are remarkably improved, and the road section is marked as the to-be-maintained road section if the evaluation result shows that the road flatness is lower than the threshold value. A specific threshold value is set to automatically judge whether the road surface needs to be maintained or not, distribution of maintenance resources is optimized, pertinence and timeliness of maintenance work are ensured, manual intervention is reduced, subjective errors in the evaluation process are reduced, and meanwhile the recognition capacity of road flatness defects is improved.
本发明涉及道路平整度测试技术领域，具体为一种智能道路平整度测试方法，包括以下步骤，基于移动激光扫描技术，进行路面连续扫描，激光器发射激光束至道路表面，传感器捕获反射回的光束，形成一系列散斑图像，生成散斑图像序列。本发明中，通过引入高精度的移动激光扫描技术和深度学习算法，实现对道路平整度的精确评估和实时监测，显著提高测试的效率和精度，在判定逻辑“若评估结果显示路面平整度低于阈值，则标记该路段为待维修”中，设置具体阈值自动化判断路面是否需要维修，优化维修资源的分配，确保维修工作的针对性和时效性，减少了人工干预，降低评估过程中的主观误差，同时也提高对道路平整度缺陷的识别能力。
Intelligent road flatness testing method
The invention relates to the technical field of road flatness testing, in particular to an intelligent road flatness testing method which comprises the following steps: based on a mobile laser scanning technology, continuously scanning a road surface, transmitting a laser beam to the surface of the road by a laser, capturing the reflected light beam by a sensor, forming a series of speckle images, and generating a speckle image sequence. According to the method, the high-precision mobile laser scanning technology and the deep learning algorithm are introduced, accurate evaluation and real-time monitoring of the road flatness are achieved, the testing efficiency and precision are remarkably improved, and the road section is marked as the to-be-maintained road section if the evaluation result shows that the road flatness is lower than the threshold value. A specific threshold value is set to automatically judge whether the road surface needs to be maintained or not, distribution of maintenance resources is optimized, pertinence and timeliness of maintenance work are ensured, manual intervention is reduced, subjective errors in the evaluation process are reduced, and meanwhile the recognition capacity of road flatness defects is improved.
本发明涉及道路平整度测试技术领域，具体为一种智能道路平整度测试方法，包括以下步骤，基于移动激光扫描技术，进行路面连续扫描，激光器发射激光束至道路表面，传感器捕获反射回的光束，形成一系列散斑图像，生成散斑图像序列。本发明中，通过引入高精度的移动激光扫描技术和深度学习算法，实现对道路平整度的精确评估和实时监测，显著提高测试的效率和精度，在判定逻辑“若评估结果显示路面平整度低于阈值，则标记该路段为待维修”中，设置具体阈值自动化判断路面是否需要维修，优化维修资源的分配，确保维修工作的针对性和时效性，减少了人工干预，降低评估过程中的主观误差，同时也提高对道路平整度缺陷的识别能力。
Intelligent road flatness testing method
一种智能道路平整度测试方法
CHENG LONG (Autor:in) / GUO GUANQING (Autor:in) / ZHANG YINGYING (Autor:in) / WANG LE (Autor:in) / LU LIGUO (Autor:in) / CHANG YING (Autor:in) / FAN JINGLONG (Autor:in) / ZHANG JUNHAO (Autor:in) / LI QING (Autor:in) / SHI XIAOFEI (Autor:in)
25.06.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
E01H
STREET CLEANING
,
Reinigen von Straßen
/
G01B
MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS
,
Messen der Länge, der Dicke oder ähnlicher linearer Abmessungen