--- title: Maintenance powered by quality data in 3D models | Draga image: https://draga.sg/hubfs/Draga_2024_BC_02-1%20Thumbnail.png --- [![draga_logo_RGB_negativ](https://draga.sg/hs-fs/hubfs/draga_logo_RGB_negativ.png?width=113&height=45&name=draga_logo_RGB_negativ.png "draga_logo_RGB_negativ")](https://draga.sg/?hsLang=en) [![draga_logo_RGB_negativ](https://draga.sg/hs-fs/hubfs/draga_logo_RGB_negativ.png?width=113&height=45&name=draga_logo_RGB_negativ.png "draga_logo_RGB_negativ")](https://draga.sg/?hsLang=en) - [Business cases](https://draga.sg/business-cases) - [Insights](https://draga.sg/insights) - [About Draga](https://draga.sg/about-draga) [Contact Us](https://draga.sg/contact-us?hsLang=en) [Contact us](https://draga.sg/contact-us?hsLang=en) More results - [Business cases](https://draga.sg/business-cases) - [Insights](https://draga.sg/insights) - [About Draga](https://draga.sg/about-draga) [Contact us](https://www.hubspot.com/) # Maintenance powered by quality data in 3D models ## Overview Engineers often waste valuable time and even face safety risks when navigating around an oil rig without help. 3D models transform digital twin data infrastructure into useful tools that help the average person to map their route through the asset – but only if the data is usable and updated. ## ![draga business case screenshot](https://draga.sg/hs-fs/hubfs/draga%20business%20case%20screenshot.png?width=1600&height=884&name=draga%20business%20case%20screenshot.png)   ## The challenge 3D models can help your engineers and technicians interact directly with a digital twin of an oil rig, navigating their way through an immersive and user-friendly interface to find the locations of equipment that need maintenance with ease.  However, if your 3D model contains incomplete links to the asset register, or you haven’t increased the quality of your data to be able to correlate the asset register with the model, the 3D model will just slow you down. An average oil rig might have 100,000 pieces of equipment that need to be linked with vital data (like maintenance schedules) and made available in your data visualisation. If they haven’t been linked, it’s just another data silo of undefined information loosely connected to an outdated 3D map.  Many companies have taken the first step to digitise everything, but haven’t yet addressed issues of data quality or linked each data point. This impacts the 3D model’s usability, as the data visualisation lacks integrity and accuracy.   ## How did we fix this? Generally speaking, 3D models in digital twins must be built on quality data — they are the basis for your 3D navigation. However, there are other two main components you need to build an effective 3D model: correlated **tags** to help you correctly identify assets and proper **links** to your asset register to access relevant information. In a recent project our team searched for equipment with incomplete links and tags in 14 existing 3D models. Once we identified all of the components that needed fixing, we began correlating any relevant data to the centralised asset register where we completed the data for the two features.   ## The results 290% ### Equipment links  Helping engineers pull even more relevant information about equipment and get the context they need. 291049 ### New links with asset register Enabling more effective resource management by linking 3D models with your asset register 21101 ### New tags found Identified gaps in the asset register that needed attention, facilitating effective maintenance. With a 3D model cleanup, companies unlock more accurate visualisation linked with your asset register. This means better user experience in your digital twin solution and greater operational efficiency. And, by getting the most out of your 3D model, companies get a higher return on investment in your data infrastructure. ![Draga business case 2](https://draga.sg/hs-fs/hubfs/Draga%20business%20case%202.png?width=1000&height=600&name=Draga%20business%20case%202.png) More importantly, an updated functional 3D model is able to help your engineers identify dangerous zones and adequately prepare the equipment they need to work in dangerous zones, run what-if scenarios, and find the shortest route for evacuation.  At Draga, we believe in helping businesses work smarter and more efficiently. 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