HMDCS-UV: A concept study of Hybrid Monitoring, Detection and Cleaning System for Unmanned Vehicles

Autor: Hichem Benfriha, Salima Bella, Ghalem Belalem, Assia Belbachir
Přispěvatelé: Institut Polytechnique des Sciences Avancées (IPSA)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Pollution
0209 industrial biotechnology
media_common.quotation_subject
Trajectory planning
Cloud computing
02 engineering and technology
7. Clean energy
Industrial and Manufacturing Engineering
Automotive engineering
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
USV (Unmanned Surface Vehicle)
020901 industrial engineering & automation
Petroleum product
Artificial Intelligence
Short Paper
UAV (Unmanned Aerial Vehicle)
Swarm
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
Electrical and Electronic Engineering
ComputingMilieux_MISCELLANEOUS
media_common
business.industry
Mechanical Engineering
Hybrid architecture
Swarm behaviour
Energy consumption
Environmentally friendly
Detection
13. Climate action
Control and Systems Engineering
[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]
Oil spill
Environmental science
[INFO.INFO-ES]Computer Science [cs]/Embedded Systems
business
Software
Zdroj: Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems, Springer Verlag, 2021, 102 (2), ⟨10.1007/s10846-021-01372-8⟩
Journal of Intelligent & Robotic Systems
ISSN: 0921-0296
1573-0409
DOI: 10.1007/s10846-021-01372-8⟩
Popis: Incidents of hydraulic or oil spills in the oceans/seas or ports occur with some regularity during the exploitation, production and transportation of petroleum products. Immediate, safe, effective and environmentally friendly measures must be adopted to reduce the impact of the oil spill on marine life. Due to the difficulty to detect and clean these areas, semi-autonomous vehicles can make a significant contribution by implementing a cooperative and coordinated response. The paper proposes a concept study of Hybrid Monitoring Detection and Cleaning System (HMDCS-UV) for a maritime region using semi-autonomous unmanned vehicles. This system is based on a cooperative decision architecture for an unmanned aerial vehicle to monitor and detect dirty zones (i.e., hydraulic spills), and clean them up using a swarm of unmanned surface vehicles. The proposed solutions were implemented in a real cloud and were evaluated using different simulation scenarios. Experimental results show that the proposed HMDCS-UV can detect and reduce the level of hydraulic pollution in maritime regions with a significant gain in terms of energy consumption.
Databáze: OpenAIRE
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