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A platform for research: civil engineering, architecture and urbanism
Roadbed continuous compaction detection method based on artificial intelligence
The invention discloses a roadbed continuous compaction detection method based on artificial intelligence, and belongs to the technical field of data compaction degree detection, and the roadbed continuous compaction detection method specifically comprises the following steps: collecting signal data when a road roller runs on roadbeds with different compaction degrees, and respectively obtaining compaction degree results corresponding to the signal data; preprocessing the signal data, inputting the preprocessed signal data and a corresponding compactness result into a one-dimensional convolutional neural network for training, and establishing a nonlinear mapping model of the signal data and the compactness result; collecting real-time signal data when the road roller runs on the roadbed, and inputting the real-time signal data into the nonlinear mapping model to obtain a real-time compaction degree result; according to the invention, the artificial intelligence algorithm is applied to the field of roadbed compactness detection, the nonlinear mapping relation between the input signal and the compactness result is established, the step of field sampling experiment is avoided, and the detection efficiency is improved.
本发明公开了一种基于人工智能的路基连续压实检测方法，数据压实度检测技术领域，具体包括以下步骤：采集压路机在不同压实度路基行驶时的信号数据，并分别获取信号数据对应的压实度结果；将所述信号数据进行预处理，将经过预处理后信号数据的和对应的压实度结果输入一维卷积神经网络进行训练，建立信号数据与压实度结果的非线性映射模型；采集压路机在路基行驶时的实时信号数据，将所述实时信号数据输入所述非线性映射模型中获得实时压实度结果；本发明将人工智能算法应用到路基压实度检测这一领域，建立输入信号与压实度结果的非线性映射关系，避免了实地抽样实验的步骤，提高了检测效率。
Roadbed continuous compaction detection method based on artificial intelligence
The invention discloses a roadbed continuous compaction detection method based on artificial intelligence, and belongs to the technical field of data compaction degree detection, and the roadbed continuous compaction detection method specifically comprises the following steps: collecting signal data when a road roller runs on roadbeds with different compaction degrees, and respectively obtaining compaction degree results corresponding to the signal data; preprocessing the signal data, inputting the preprocessed signal data and a corresponding compactness result into a one-dimensional convolutional neural network for training, and establishing a nonlinear mapping model of the signal data and the compactness result; collecting real-time signal data when the road roller runs on the roadbed, and inputting the real-time signal data into the nonlinear mapping model to obtain a real-time compaction degree result; according to the invention, the artificial intelligence algorithm is applied to the field of roadbed compactness detection, the nonlinear mapping relation between the input signal and the compactness result is established, the step of field sampling experiment is avoided, and the detection efficiency is improved.
本发明公开了一种基于人工智能的路基连续压实检测方法，数据压实度检测技术领域，具体包括以下步骤：采集压路机在不同压实度路基行驶时的信号数据，并分别获取信号数据对应的压实度结果；将所述信号数据进行预处理，将经过预处理后信号数据的和对应的压实度结果输入一维卷积神经网络进行训练，建立信号数据与压实度结果的非线性映射模型；采集压路机在路基行驶时的实时信号数据，将所述实时信号数据输入所述非线性映射模型中获得实时压实度结果；本发明将人工智能算法应用到路基压实度检测这一领域，建立输入信号与压实度结果的非线性映射关系，避免了实地抽样实验的步骤，提高了检测效率。
Roadbed continuous compaction detection method based on artificial intelligence
一种基于人工智能的路基连续压实检测方法
GUO QIWU (author) / YIN XIAOBO (author) / LUO ZHI (author) / LI JIUGEN (author)
2023-04-11
Patent
Electronic Resource
Chinese
IPC:
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
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