A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Unmanned ship, drainage pipeline siltation disease diagnosis and waterlogging early warning maintenance decision-making method
The invention relates to the field of drainage pipe network siltation diagnosis, in particular to a maintenance decision-making method for unmanned ship and drainage pipe siltation disease diagnosis and waterlogging early warning. The unmanned ship is composed of an in-pipe integrated ship body and an inspection well box, and the in-pipe integrated ship body comprises a Doppler ultrasonic module, a three-axis gyroscope, a high-definition infrared camera, a main controller, a deep learning development board, a partition plate, a cabin cover, a cabin body, auxiliary wings, a traction ring and an aviation plug interface. The Doppler ultrasound module, the three-axis gyroscope, the high-definition infrared camera, the aviation plug interface and the deep learning development board are connected with the main controller, the auxiliary wings, the traction ring, the cabin cover and the partition plate are connected with the cabin body, and the main controller is arranged on the cabin body. The deep learning development board is loaded with a drainage pipeline siltation disease diagnosis model, a waterlogging early warning model and a pipeline maintenance optimization decision model based on multi-objective optimization and an internal waterlogging disaster damage assessment method. The method is suitable for drainage pipe network siltation disease diagnosis, waterlogging early warning and maintenance decision making.
本发明涉及排水管网淤积诊断领域，具体涉及一种无人船、排水管道淤积病害诊断及内涝预警的养护决策方法。本发明提供的无人船由管内集成船体和窨井箱组成，管内集成船体包括多普勒超声模块、三轴陀螺仪、高清红外摄像头、主控制器、深度学习开发板、隔板、舱盖、舱体、辅翼、牵引环以及航插接口，多普勒超声模块、三轴陀螺仪、高清红外摄像头、航插接口、深度学习开发板分别与所述主控制器连接，辅翼、牵引环、舱盖、隔板与舱体连接，主控制器设置在舱体上，深度学习开发板加载有排水管道淤积病害诊断模型、内涝预警模型、基于多目标优化和内涝灾损评估方法的管道养护最优化决策模型。本发明适用于排水管网淤积病害诊断、内涝预警及养护决策。
Unmanned ship, drainage pipeline siltation disease diagnosis and waterlogging early warning maintenance decision-making method
The invention relates to the field of drainage pipe network siltation diagnosis, in particular to a maintenance decision-making method for unmanned ship and drainage pipe siltation disease diagnosis and waterlogging early warning. The unmanned ship is composed of an in-pipe integrated ship body and an inspection well box, and the in-pipe integrated ship body comprises a Doppler ultrasonic module, a three-axis gyroscope, a high-definition infrared camera, a main controller, a deep learning development board, a partition plate, a cabin cover, a cabin body, auxiliary wings, a traction ring and an aviation plug interface. The Doppler ultrasound module, the three-axis gyroscope, the high-definition infrared camera, the aviation plug interface and the deep learning development board are connected with the main controller, the auxiliary wings, the traction ring, the cabin cover and the partition plate are connected with the cabin body, and the main controller is arranged on the cabin body. The deep learning development board is loaded with a drainage pipeline siltation disease diagnosis model, a waterlogging early warning model and a pipeline maintenance optimization decision model based on multi-objective optimization and an internal waterlogging disaster damage assessment method. The method is suitable for drainage pipe network siltation disease diagnosis, waterlogging early warning and maintenance decision making.
本发明涉及排水管网淤积诊断领域，具体涉及一种无人船、排水管道淤积病害诊断及内涝预警的养护决策方法。本发明提供的无人船由管内集成船体和窨井箱组成，管内集成船体包括多普勒超声模块、三轴陀螺仪、高清红外摄像头、主控制器、深度学习开发板、隔板、舱盖、舱体、辅翼、牵引环以及航插接口，多普勒超声模块、三轴陀螺仪、高清红外摄像头、航插接口、深度学习开发板分别与所述主控制器连接，辅翼、牵引环、舱盖、隔板与舱体连接，主控制器设置在舱体上，深度学习开发板加载有排水管道淤积病害诊断模型、内涝预警模型、基于多目标优化和内涝灾损评估方法的管道养护最优化决策模型。本发明适用于排水管网淤积病害诊断、内涝预警及养护决策。
Unmanned ship, drainage pipeline siltation disease diagnosis and waterlogging early warning maintenance decision-making method
无人船、排水管道淤积病害诊断及内涝预警的养护决策方法
FANG HONGYUAN (author) / DI DANYANG (author) / LI JIAN (author) / ZHANG CHAOYANG (author) / SUN BIN (author) / LI BIN (author) / WANG NIANNIAN (author) / ZHANG JINPING (author) / ZHAI KEJIE (author)
2024-10-18
Patent
Electronic Resource
Chinese
IPC:
E03F
SEWERS
,
Abwasserkanäle
/
B63B
Schiffe oder sonstige Wasserfahrzeuge
,
SHIPS OR OTHER WATERBORNE VESSELS
/
G01D
MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
,
Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06V
/
G16Y
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