oceans.ai has partnered with AI Singapore and Google Cloud to develop an AI-based asset inspection solution for industrial applications to conduct first-level defect detections in hazardous environments and contexts, such as on offshore oil and gas FPSO’s and storage tanks.
Wind Turbines have an average lifespan of around 20years. And they face some of the harshest operating environments through their life facing the weather and all its operating uncertainties through its lifecycle. Furthermore, a wind turbines lifecycle travails begins the moment its componentised and taken out of its manufacturing process to the installation site all the way to its end of lifecycle.
The quality inspection lifecycle of a Wind-turbine (and its components) begins from the moment it reaches the site, through its entire installation cycle all through to its production. And the quality inspection findings are received through multiple methods and multiple experts through these inspection cycles.
Some of the key challenges faced with this acquisition and process are:
The need is to have a single Digital platform that handles the quality data of the asset. The key features of this quality platform is as below.
The core of such a quality platform is DeepDIVE with ability to deliver a comprehensive quality lifecycle management. Further more, with DeepDIVE’s built in AI engines it is able to deliver powerful tools such as :
The key benefits of DeepDIVE’s asset quality management platform is to manufacturers( who need to maintain the asset quality fo their customers) and large scale wind farm owners (who need to keep their wind farms in top operating efficiency and maximise their asset performance through high quality management)
Benefits to the Energy industry cover the following key points:
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