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Bridge state monitoring method based on unmanned aerial vehicle cellular topology networking and mobile edge computing

An edge computing and drone technology, which is applied in specific environment-based services, network topology, wireless communication, etc., can solve the problems of insufficient computing resources and low battery capacity of drones, and reduce network resource occupancy. The effect of shortening network delay and optimizing computing resources

Pending Publication Date: 2022-05-24
无锡市市政设施养护管理有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, the UAV itself has problems such as low battery capacity and insufficient computing resources, so there is a performance problem

Method used

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  • Bridge state monitoring method based on unmanned aerial vehicle cellular topology networking and mobile edge computing
  • Bridge state monitoring method based on unmanned aerial vehicle cellular topology networking and mobile edge computing
  • Bridge state monitoring method based on unmanned aerial vehicle cellular topology networking and mobile edge computing

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Embodiment Construction

[0085] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0086] like figure 1 As shown, the present invention is a bridge state monitoring method based on UAV cellular topology networking and mobile edge computing, including a bridge surface data collection UAV cluster, bridge state monitoring equipment, and a ground edge computing information processing system. The bridge monitoring data transmission model is as follows figure 2 shown. The method includes: several bridge state monitoring devices, a swarm of unmanned aerial vehicles for collecting bridge surface data, and a ground information processing system. The bridge state monitoring equipment monitors the bridge state through sensors. UAV swarms are used for local processing of bridge data or as relay nodes to transmit bridge data. The ground information processing system includes the bridge environment modeling system, the UAV cruise pat...

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Abstract

The invention discloses a bridge state monitoring method based on unmanned aerial vehicle cellular topology networking and mobile edge computing. Relates to the technical field of unmanned aerial vehicle bridge state monitoring. The method comprises a plurality of bridge state monitoring devices, a bridge surface data acquisition unmanned aerial vehicle cluster and a ground information processing system. The bridge state monitoring device monitors the bridge state through a sensor. The unmanned aerial vehicle cluster adopts cellular topology networking to realize local processing of bridge data or serves as a relay node to transmit bridge monitoring data. The ground information processing system comprises a bridge environment modeling system, an unmanned aerial vehicle cruise path planning system, an unmanned aerial vehicle cellular topology networking system, a bridge state recognition system and a bridge quality detection report generation system. According to the method, optimal configuration of computing resources in the bridge state monitoring process is achieved, the state monitoring resource utilization efficiency is greatly improved, and the monitoring quality is improved.

Description

technical field [0001] The invention relates to the technical field of UAV bridge state monitoring, in particular to a bridge state monitoring method based on UAV cellular topology networking and mobile edge computing. Background technique [0002] Bridges are an important carrier of urban traffic. However, large and important bridges have large and difficult inspection and maintenance workloads, and there are some diseases and safety monitoring blind spots that cannot be accurately identified by humans. new requirements. Nowadays, UAV technology is developing rapidly. The information sampling of each structure of the bridge is carried out through the drone cluster. At the same time, combined with the sensors installed on the bridge, the health status of the bridge is monitored, which provides an effective measure for the safe service of the bridge. The amount of data transmitted between devices required for real-time monitoring of bridge health shows an exponential growth ...

Claims

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Application Information

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IPC IPC(8): H04B7/185G01D21/02H04W4/38H04W40/10H04W40/12H04W84/18
CPCH04B7/18502H04W4/38G01D21/02H04W40/10H04W40/125H04W84/18Y02D30/70
Inventor 朱军张国春付勇高王磊蔡嘉唐袁袁王振楠唐寅伟
Owner 无锡市市政设施养护管理有限公司
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