Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Road flatness detection method
The invention discloses a road flatness detection method, and relates to the technical field of road detection. The method comprises the following steps: acquiring tire pressure change data through an MEMS air pressure sensor and an MEMS acceleration sensor; carrying out denoising processing on the tire pressure change data; a deep learning algorithm is adopted to train a road flatness evaluation model; constructing a function between the road flatness and the tire pressure change; constructing a hypothesis function of the function relationship, and constructing a loss function for describing the quality of the hypothesis function and evaluating the quality of parameters; calculating the minimum value of the loss function; and calculating a road surface condition value by adopting a weighted average fusion algorithm, and analyzing the flatness of the road. Tire pressure change data are obtained through the MEMS air pressure sensor and the MEMS acceleration sensor, the road flatness evaluation model is obtained through training after processing, the road surface condition value is calculated, the road flatness condition is analyzed, the road detection cost is reduced, and the road detection efficiency is improved.
本发明公开了一种道路平整度检测方法，涉及道路检测技术领域。本发明包括如下步骤：通过MEMS气压传感器和MEMS加速度传感器获取胎压变化数据；对胎压变化数据进行去噪处理；采用深度学习算法训练道路平整度评价模型；构建道路平整度与胎压变化之间的函数；构建之间函数关系的假设函数，并构建描述假设函数好坏以及评估参数优劣的损失函数；计算损失函数的最小值；采用加权平均融合算法计算道路表面状况值，分析道路的平整度。本发明通过MEMS气压传感器和MEMS加速度传感器获取胎压变化数据，经过处理后训练得到道路平整度评价模型，计算道路表面状况值，分析道路的平整度情况，降低了道路检测成本，提高了道路检测效率。
Road flatness detection method
The invention discloses a road flatness detection method, and relates to the technical field of road detection. The method comprises the following steps: acquiring tire pressure change data through an MEMS air pressure sensor and an MEMS acceleration sensor; carrying out denoising processing on the tire pressure change data; a deep learning algorithm is adopted to train a road flatness evaluation model; constructing a function between the road flatness and the tire pressure change; constructing a hypothesis function of the function relationship, and constructing a loss function for describing the quality of the hypothesis function and evaluating the quality of parameters; calculating the minimum value of the loss function; and calculating a road surface condition value by adopting a weighted average fusion algorithm, and analyzing the flatness of the road. Tire pressure change data are obtained through the MEMS air pressure sensor and the MEMS acceleration sensor, the road flatness evaluation model is obtained through training after processing, the road surface condition value is calculated, the road flatness condition is analyzed, the road detection cost is reduced, and the road detection efficiency is improved.
本发明公开了一种道路平整度检测方法，涉及道路检测技术领域。本发明包括如下步骤：通过MEMS气压传感器和MEMS加速度传感器获取胎压变化数据；对胎压变化数据进行去噪处理；采用深度学习算法训练道路平整度评价模型；构建道路平整度与胎压变化之间的函数；构建之间函数关系的假设函数，并构建描述假设函数好坏以及评估参数优劣的损失函数；计算损失函数的最小值；采用加权平均融合算法计算道路表面状况值，分析道路的平整度。本发明通过MEMS气压传感器和MEMS加速度传感器获取胎压变化数据，经过处理后训练得到道路平整度评价模型，计算道路表面状况值，分析道路的平整度情况，降低了道路检测成本，提高了道路检测效率。
Road flatness detection method
一种道路平整度检测方法
JIANG DABAI (Autor:in) / YANG KUNLONG (Autor:in) / LIU YANG (Autor:in)
13.01.2023
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