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Pavement internal disease detection method and system for three-dimensional ground penetrating radar
The invention relates to the technical field of intelligent detection and analysis, in particular to a pavement internal disease detection method and system for a three-dimensional ground penetrating radar. The method comprises the steps of multi-modal data acquisition and preprocessing, multi-modal data alignment and feature extraction, adaptive deep learning model training and recognition, dynamic statistical feature analysis and optimization and automatic report generation and decision support. More comprehensive and accurate disease detection is realized through a multi-modal data fusion technology; a deep neural network and a multi-task learning framework are introduced, so that the data processing efficiency and accuracy are improved; the reinforcement learning technology is combined, model parameters are dynamically optimized, and the robustness and adaptability of the model are improved; through intelligent filtering and probability optimization, the misjudgment rate is remarkably reduced, and the credibility of an identification result is improved; finally, a detailed detection report is generated based on a detection result, and scientific and reliable decision support is provided for road maintenance and management. According to the invention, the precision, efficiency and reliability of pavement internal disease detection are improved.
本发明涉及智能检测与分析技术领域,尤其涉及用于三维探地雷达的路面内部病害检测方法及系统,本发明包括多模态数据采集与预处理、多模态数据对齐与特征提取、自适应深度学习模型训练与识别、动态统计特征分析与优化以及自动报告生成与决策支持;通过多模态数据融合技术,实现了更全面和准确的病害检测;引入深度神经网络和多任务学习框架,提高了数据处理效率和准确性;结合强化学习技术,动态优化模型参数,提升模型的鲁棒性和适应性;通过智能过滤和概率优化,显著降低了误判率,提高识别结果的可信度;最终,基于检测结果生成详细的检测报告,为道路维护和管理提供科学可靠的决策支持;本发明提升了路面内部病害检测的精度、效率和可靠性。
Pavement internal disease detection method and system for three-dimensional ground penetrating radar
The invention relates to the technical field of intelligent detection and analysis, in particular to a pavement internal disease detection method and system for a three-dimensional ground penetrating radar. The method comprises the steps of multi-modal data acquisition and preprocessing, multi-modal data alignment and feature extraction, adaptive deep learning model training and recognition, dynamic statistical feature analysis and optimization and automatic report generation and decision support. More comprehensive and accurate disease detection is realized through a multi-modal data fusion technology; a deep neural network and a multi-task learning framework are introduced, so that the data processing efficiency and accuracy are improved; the reinforcement learning technology is combined, model parameters are dynamically optimized, and the robustness and adaptability of the model are improved; through intelligent filtering and probability optimization, the misjudgment rate is remarkably reduced, and the credibility of an identification result is improved; finally, a detailed detection report is generated based on a detection result, and scientific and reliable decision support is provided for road maintenance and management. According to the invention, the precision, efficiency and reliability of pavement internal disease detection are improved.
本发明涉及智能检测与分析技术领域,尤其涉及用于三维探地雷达的路面内部病害检测方法及系统,本发明包括多模态数据采集与预处理、多模态数据对齐与特征提取、自适应深度学习模型训练与识别、动态统计特征分析与优化以及自动报告生成与决策支持;通过多模态数据融合技术,实现了更全面和准确的病害检测;引入深度神经网络和多任务学习框架,提高了数据处理效率和准确性;结合强化学习技术,动态优化模型参数,提升模型的鲁棒性和适应性;通过智能过滤和概率优化,显著降低了误判率,提高识别结果的可信度;最终,基于检测结果生成详细的检测报告,为道路维护和管理提供科学可靠的决策支持;本发明提升了路面内部病害检测的精度、效率和可靠性。
Pavement internal disease detection method and system for three-dimensional ground penetrating radar
用于三维探地雷达的路面内部病害检测方法及系统
YANG JIANGANG (author) / YAO YUQUAN (author) / GAO JIE (author) / WAN TONGTONG (author) / TAN XIAOYONG (author) / YOCHI (author) / XU JING (author) / ZHOU JIAN (author)
2024-11-26
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
/
G01N
Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften
,
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
/
G01S
RADIO DIRECTION-FINDING
,
Funkpeilung
/
G01V
Geophysik
,
GEOPHYSICS
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
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