Laing O’Rourke has been leading a research project to drive quality and productivity improvements through the use of digital tools, using the Hinkley Point C nuclear site and its own manufacturing facility in Worksop as demonstrators.
Known as Augmented Reality for Operative Productivity and Continuous Quality Analysis (AROPCQA), the project has been led by Laing O’Rourke, working with partners tech giant Trimble, the University of Sheffield Advanced Manufacturing Research Centre (AMRC), and software SMEs Offset and WorkMobile. It got underway in April 2019, backed by funding from Innovate UK.
In this instalment, we look at the fourth of the project’s five deliverables: using augmented reality (AR) as a visual inspection tool.
How reliable is AR for inspecting built assets? That was the question asked by Dr James Potter, digital and quality leader at Laing O’Rourke, when trialling two AR technologies from Trimble for use on Hinkley Point C.
“We were interested in their ability to help with workflow, visualisation, visual inspection, dimensional measurement, and their usability and reliability,” he explains.
Potter conducted the tests on three existing structures and at the University of Sheffield’s Advanced Research & Manufacturing Centre (AMRC).
Firstly, he tested Trimble’s SiteVision, a high-accuracy outdoor visualisation tool for spatial data. “It integrates GNSS data with camera tracking data to support AR visualisation of 3D spatial data,” Potter says.
He tested two different handheld devices: an Android smartphone with the SiteVision app on it, with a battery-powered electronic distance measuring bracket and Trimble Catalyst antenna (providing the GNSS signal) attached; and the more traditional surveying approach with a Trimble R12i GNSS sensor and a TSC7 data logger.
Potter tested both technologies by modelling and geolocating the three structures, carrying out a virtual to as-built repeatability study, and noting the time they took to set up and how frequently they required a reset.
“In both cases, the upload to Trimble Connect was quick and intuitive,” he says. “It was easy to see a discrepancy between the virtual and the physical.”
However, an issue with the handhelds was the amount of time to locate and orientate itself – around two minutes depending on signal strength – and the need for periodic orientation resetting.
“While neither device is designed expressly for dimensional measurement, they have measurement capability. However, they couldn’t match the tolerance requirements for Hinkley,” he explains.
Meanwhile, at AMRC, Potter tested a HoloLens 2, integrated with Trimble’s mixed reality app Trimble Connect, on a rebar cage. He found the upload to Trimble Connect quick and intuitive, and says loading the model to HoloLens was easy.
“However, while it was easy to spot discrepancies between virtual and physical, it was easy to be overwhelmed with information, and it is necessary to turn layers on and off to keep the inspection focused,” Potter adds.
Both technologies provided easier and better quality of visual inspection – leading to reduced likelihood of defects being missed, and better as-built evidence – but there is still work on the detail required, he concludes.
Read about the deliverables:
- AI-based feature detection for automated QA;
- Provide mobile accessible digital ‘work packs’ to operatives;
- Laser scanning and point cloud data processing for as-built verification.