海底数字化:从虚拟世界到现实世界——在海上作业中使用增强现实技术

Manuel Parente, Mark Stevens, J. Ferreira, Rafael O Simão, Mariana Dionisio
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引用次数: 1

摘要

最近的进展使得增强现实(AR)技术可以应用于水下干预过程,以克服深水遥控潜水器(ROV)作业中常见的问题。新开发的AR技术使用最先进的3D引擎来精确建模海底资产,并使用地理信息系统(GIS)来精确确定现场资产的相对位置,从而创建海底设施的虚拟3D可视化。通过将虚拟环境叠加到ROV的驾驶员摄像机的实时馈送上,ROV的操作得到了增强。将实时相机图像与AR和其他数据流合并可以增强可视性、提高安全性、提高效率并降低总体成本。通过先进的软件将水下资产数字化,云计算运行应用程序和存储数据,卫星通信将海上作业与陆上决策者联系起来,支持远程操作的指挥中心,以及用于作业前规划和ROV驾驶员培训的模拟技术,可以将AR技术用于海底作业。自2015年开始测试以来,ar增强工艺已应用于墨西哥湾和北海的深水油田。展望未来,使用AR和结构化数据集来改进海底活动的经验将导致人工智能控制的完全自主操作,以更低的风险和更高的效率实现项目目标。
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Subsea Digitalization: From the Virtual World into the Real World—Using Augmented Reality in Offshore Operations
Recent advances have made it possible to include augmented reality (AR) technology in the subsea intervention process to overcome problems commonly encountered during remotely operated vehicle (ROV) operations in deep water. Newly developed AR technology uses a state-of-the-art 3D engine to accurately model subsea assets and a geographic information system (GIS) to precisely determine the relative location of assets in the field, creating a virtual 3D visualization of the subsea facilities. ROV operations are enhanced by superimposing the virtual environment onto the live feed of the ROV's pilot camera. Merging real-time camera images with AR and other data streams augments visibility, improves safety, increases efficiency, and reduces overall costs. The use of AR technology for subsea operations is enabled by advanced software to digitalize subsea assets, cloud computing to run applications and store data, satellite communications to link offshore operations to onshore decision-makers, command centers that support remote operations, and simulation techniques for pre-job planning and ROV pilot training. Since testing began in 2015, the AR-enhanced process has been applied in deepwater fields in the Gulf of Mexico and North Sea. Looking ahead, it is expected that the experience using AR and structured data sets for improved subsea activity will lead to fully autonomous operations controlled by artificial intelligence to achieve project objectives with lower risk and greater efficiency.
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