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Unmanned aerial vehicle device for bridge crack recognition and repair and use method
The invention discloses an unmanned aerial vehicle device for bridge crack identification and repair and a use method thereof, the use method comprises the steps of crack detection, positioning, line patrol, repair and the like, and the accuracy and effectiveness of repair work are ensured. According to the method, cracks are identified through an improved YOLOv8 algorithm, and the cracks are positioned through an autonomous flight navigation system, so that the unmanned aerial vehicle can automatically plan an optimal path, accurately reach the positions of the cracks and automatically carry out accurate jet filling according to the characteristics of the cracks; compared with a traditional repairing method, the method has the advantages that the efficiency and reliability of bridge detection and maintenance are remarkably improved, the risk of high-altitude operation of personnel is avoided, the maintenance cost is reduced, and the method is of great significance in prolonging the service life of the bridge.
本发明公开了一种用于桥梁裂纹识别及修补的无人机装置及使用方法,包括裂纹检测、定位、巡线及修补等步骤,确保了修补工作的精确性和有效性。无人机上搭载有多个模块,用于完成定位、识别以及修补的操作,本方法通过改进的YOLOv8算法识别裂纹,并利用自主飞行导航系统对其进行定位,使得无人机可以自动规划最优路径,准确到达裂纹所在位置,根据裂纹特征自动进行精准喷射填充,完成裂缝的即时修补工作,此方法相对于传统的修补方法,不仅显著提升了桥梁检测与维护的效率和可靠性,而且避免了人员高空作业的风险,降低了维护成本,对延长桥梁使用寿命具有重要意义。
Unmanned aerial vehicle device for bridge crack recognition and repair and use method
The invention discloses an unmanned aerial vehicle device for bridge crack identification and repair and a use method thereof, the use method comprises the steps of crack detection, positioning, line patrol, repair and the like, and the accuracy and effectiveness of repair work are ensured. According to the method, cracks are identified through an improved YOLOv8 algorithm, and the cracks are positioned through an autonomous flight navigation system, so that the unmanned aerial vehicle can automatically plan an optimal path, accurately reach the positions of the cracks and automatically carry out accurate jet filling according to the characteristics of the cracks; compared with a traditional repairing method, the method has the advantages that the efficiency and reliability of bridge detection and maintenance are remarkably improved, the risk of high-altitude operation of personnel is avoided, the maintenance cost is reduced, and the method is of great significance in prolonging the service life of the bridge.
本发明公开了一种用于桥梁裂纹识别及修补的无人机装置及使用方法,包括裂纹检测、定位、巡线及修补等步骤,确保了修补工作的精确性和有效性。无人机上搭载有多个模块,用于完成定位、识别以及修补的操作,本方法通过改进的YOLOv8算法识别裂纹,并利用自主飞行导航系统对其进行定位,使得无人机可以自动规划最优路径,准确到达裂纹所在位置,根据裂纹特征自动进行精准喷射填充,完成裂缝的即时修补工作,此方法相对于传统的修补方法,不仅显著提升了桥梁检测与维护的效率和可靠性,而且避免了人员高空作业的风险,降低了维护成本,对延长桥梁使用寿命具有重要意义。
Unmanned aerial vehicle device for bridge crack recognition and repair and use method
一种用于桥梁裂纹识别及修补的无人机装置及使用方法
LIU AOLIN (Autor:in) / ZHANG SIYUAN (Autor:in) / HU MINGZHOU (Autor:in) / LI WEI (Autor:in) / FANG JUNNAN (Autor:in) / NIU SHUNCHAO (Autor:in)
15.10.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
B64D
Ausrüstung für Flugzeuge
,
EQUIPMENT FOR FITTING IN OR TO AIRCRAFT
/
B64U
/
E01D
BRIDGES
,
Brücken
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
/
G06V
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