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.

在石油产品的开采，生产和运输过程中，海洋或港口的液压或漏油事件经常发生。必须采取立即，安全，有效和环保的措施，以减少漏油对海洋生物的影响。由于难以检测和清洁这些区域，半自动车辆可以通过实施协作和协调的响应做出重大贡献。本文提出了一种使用半自动无人驾驶汽车的海上区域混合监控检测与清洁系统（HMDCS-UV）的概念研究。该系统基于用于无人飞行器的协作决策体系结构，以监视和检测脏区（即液压泄漏），并使用无人水面飞行器群清理它们。所提出的解决方案在真实的云中实现，并使用不同的模拟方案进行了评估。实验结果表明，所提出的HMDCS-UV可以检测并减少海洋区域的水力污染水平，并且在能耗方面有显着提高。