Cooperative communication framework design for the unmanned aerial vehicles-unmanned surface vehicles formation

With the continuous development of the maritime economy, the maritime unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs) have become important parts of the maritime transportation system. Unmanned vehicles play a pivotal role in water safety management, offshore patrol and maritime rescue. Consequently, this article researches and develops an unmanned aerial vehicle–unmanned surface vehicle (UAV-USV) coupling system with multiple functions. The ship body module, the deformation module and the UAV module are designed by using the modular analysis method, then volume of fluid (VOF) technology and STAR-CCM+ software are applied to analyze the ship resistance before and after deformation and optimize it. The results show that the Transformer has high speed before deformation and stable navigation ability after deformation, and it can navigate in high winds and waves. It has a large reconnaissance range and some radar stealth capability, which can fulfill different tasks, such as maritime patrol, military strike and maritime rescue.

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A Centralized Autonomous System of Cooperation for UAVs- Monitoring and USVs- Cleaning

Unmanned Aerial Vehicles ◽

10.4018/978-1-5225-8365-3.ch015 ◽

2019 ◽

pp. 347-375

Author(s):

Salima Bella ◽

Assia Belbachir ◽

Ghalem Belalem

Keyword(s):

Unmanned Aerial Vehicles ◽

Autonomous System ◽

Unmanned Vehicles ◽

Pollution Level ◽

Agent Based ◽

Unmanned Surface Vehicles ◽

Ocean Pollution ◽

Aerial Vehicles ◽

Planning Approach ◽

Rapid Deployment

This article proposes an approach which deals with the problem of monitoring ocean pollution and cleaning dirty zones using autonomous unmanned vehicles. The authors present a cooperative agent-based planning approach for heterogeneous unmanned vehicles with different roles. Unmanned aerial vehicles (UAVs) monitor multiple ocean regions and unmanned surface vehicles (USVs) tackle the cleaning of dirty zones. Due to the rapid deployment of these unmanned vehicles, and the increase of ocean pollution, it is convenient to use a fleet of unmanned vehicles. Thus, most of the existing studies deal with the monitoring of different zones, the detection of the polluted zones and then the cleaning of the zones. In order to optimize this process, the authors' solution aims to use one UAV and one USV to reduce the pollution level of the ocean zones while taking into account the problem of fault tolerance related to these vehicles.

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A Centralized Autonomous System of Cooperation for UAVs- Monitoring and USVs- Cleaning

International Journal of Software Innovation ◽

10.4018/ijsi.2018040105 ◽

2018 ◽

Vol 6 (2) ◽

pp. 50-76 ◽

Cited By ~ 4

Author(s):

Salima Bella ◽

Assia Belbachir ◽

Ghalem Belalem

Keyword(s):

Unmanned Aerial Vehicles ◽

Autonomous System ◽

Unmanned Vehicles ◽

Pollution Level ◽

Agent Based ◽

Unmanned Surface Vehicles ◽

Ocean Pollution ◽

Aerial Vehicles ◽

Planning Approach ◽

Rapid Deployment

This article proposes an approach which deals with the problem of monitoring ocean pollution and cleaning dirty zones using autonomous unmanned vehicles. The authors present a cooperative agent-based planning approach for heterogeneous unmanned vehicles with different roles. Unmanned aerial vehicles (UAVs) monitor multiple ocean regions and unmanned surface vehicles (USVs) tackle the cleaning of dirty zones. Due to the rapid deployment of these unmanned vehicles, and the increase of ocean pollution, it is convenient to use a fleet of unmanned vehicles. Thus, most of the existing studies deal with the monitoring of different zones, the detection of the polluted zones and then the cleaning of the zones. In order to optimize this process, the authors' solution aims to use one UAV and one USV to reduce the pollution level of the ocean zones while taking into account the problem of fault tolerance related to these vehicles.

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Methodology for Combining Data Acquired by Unmanned Surface and Aerial Vehicles to Create Digital Bathymetric Models in Shallow and Ultra-Shallow Waters

Remote Sensing ◽

10.3390/rs14010105 ◽

2021 ◽

Vol 14 (1) ◽

pp. 105

Author(s):

Jacek Lubczonek ◽

Witold Kazimierski ◽

Grzegorz Zaniewicz ◽

Malgorzata Lacka

Keyword(s):

Unmanned Aerial Vehicles ◽

Shallow Waters ◽

Data Sets ◽

Reference Surface ◽

Unmanned Surface Vehicles ◽

Bathymetric Data ◽

Aerial Vehicles ◽

Combining Data ◽

Photogrammetric Method ◽

Selection Of

This paper presents a method for integrating data acquired by unmanned surface vehicles and unmanned aerial vehicles. The aim of this work was to create a uniform bathymetric surface extending to the shoreline. Such a body of water is usually characterized by ultra-shallow depths, which makes measurement impossible even with hydrographic autonomous vessels. Bathymetric data acquired by the photogrammetric method are, however, characterized by large errors with increasing depth. The presented method is based on processing of two data sets using a bathymetric reference surface and selection of points on the basis of generated masks. Numerical bathymetric models created by interpolation methods confirmed the usefulness of the concept adopted.

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Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

World of OIL Products the Oil Companies Bulletin ◽

10.32758/2071-5951-2020-0-6-44-47 ◽

2020 ◽

Vol 06 ◽

pp. 44-47

Author(s):

A.A. Moykin ◽

◽

A.S. Medzhibovsky ◽

S.A. Kriushin ◽

M.V. Seleznev ◽

...

Keyword(s):

Unmanned Aerial Vehicles ◽

Engine Oil ◽

Motor Oil ◽

Gasoline Engines ◽

State Research Institute ◽

Technical Requirements ◽

Aerial Vehicles ◽

State Research ◽

Industrial Batch ◽

The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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