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MODELLING THE AUTOMATIC DEPLOYMENT OF OIL-SPILL BOOMS: A SIMULATION SCENARIO FOR SEA CLEANING

机译:对溢油库的自动部署进行建模:海清洁的模拟场景

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Booms are extensively used for confining oil spilled at sea and for carrying it away from sensitive areas or toward a gathering point. The success of booming operations depends on effective boom deployment, which, in turn, is conditioned by the state of the sea - wind, tides, currents, and waves - and its effects on the spill spreading shape and speed. Planning the boom deployment beforehand could help overcome problems derived from sea condition. Besides, the employment of Unmanned Surface Vehicles (USVs) for towing spill recovery booms represents an interesting alternative to the use of ordinary vessels, and it could lead to a fully automatic oil spill recovery system. A basic tool has been developed in Python to simulate the deployment of booms towed by USVs. The aim is to explore simple trial scenarios, working out information that helps to prototype real USV-boom systems and to plan automatic deployments.
机译:动臂广泛用于限制海上溢油,并将其带离敏感区域或汇聚到集水点。动臂作业的成功取决于有效的动臂部署,而动臂部署又取决于海洋状况(风,潮汐,海流和波浪)及其对溢流扩散形状和速度的影响。事先计划动臂的部署可以帮助克服因海况引起的问题。此外,采用拖曳溢油回收吊臂的无人水面车辆(USV)是使用普通船舶的一种有趣的替代方法,它可能导致全自动溢油回收系统。已在Python中开发了一种基本工具来模拟USV拖曳的动臂的部署。目的是探索简单的试用方案,找出有助于原型真实USV轰炸系统并计划自动部署的信息。

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