Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
PO317: Digital twin for floating offshore wind platforms: Software stack and its benchmarking
Lee Martina, Software Engineer, WavEC Offshore Renewables
Abstract
This work presents the development of a digital twin to support the construction and storage of floating offshore wind platforms. The focus is placed on software architecture, implementation, performance, and data-handling capabilities while a separate work explores its use in the construction of a novel reinforced concrete platform. The digital twin includes sensor networks, data server, computing nodes, and web-based dashboards for real-time monitoring. Two stations supply in-situ telemetry. The harbour station provides metocean, meteorological, and underwater acoustic data. The platform station delivers structural health parameters such as strain, temperature, humidity, location, and attitude. Sensor readings and mathematical models feed the dashboard which are composed of status tiles, 3D CAD overlays, and time-series plots. Data is spatially contextualized for immediate assessment and includes per-sensor diagnostics such as uptime and latency (p50/p95). The monitoring stations use a custom lightweight uploading utility that tracks last-sent values and maintains a persistent queue, ensuring robustness against connectivity loss. The server architecture is modular and production-ready: Dockerised Django + PostgreSQL + Nginx, with ingestion via Django REST Framework. Security and resilience were prioritised through HTTPS transport, JWT-protected API routes, and structured logs. Data and model outputs are packaged for compatibility with third-party AI services, supporting future extensions such as automated event detection and report generation. During the construction of the floating platform, KPIs were computed continuously providing the following results: network uptime of 91%, end-to-end latency below 5 s, and dashboard availability of 96%. This work illustrates how a modular, production-grade architecture enables reliable and extensible digital twin deployments for the offshore industry. Emphasis is placed on system resilience, performance observability, and integration readiness with AI-driven services. The design supports deployment across multiple projects, with minimal adaptation effort and consistent enforcement of validation, security, and logging throughout the data pipeline.
No recording available for this poster.
