Virtual Sea Trial
Virtual Commissioning in Shipbuilding
Although commissioning is a crucial part of the ship-build process, it occurs late in development and is prone to delays. As modern ship designs become more complex due to stricter energy-efficiency requirements and higher levels of autonomy, there is an increased need for early simulation-aided testing. The Virtual Sea Trial project aims to create a shared, distributed test environment for simulated system integration testing.
Project Partners
Virtual Commissioning in Shipbuilding
Watch as the pieces come together! We are creating a shared virtual test environments for ship design and commissioning, allowing you to perform onboard system integration tests years earlier in the shipbuilding process.
Commissioning Interfaces
Extended reality (XR) connects the physical world with digital ones. XR has the power to revolutionize how future shipbuilding and commissioning is performed.
Agile Project and Business Models
Embracing virtual commissioning requires a shift in our working methods. Agile project and business models are created to replace the outdated waterfall models of testing. Join us as we explore the dynamic landscape of virtual commissioning and the transformative potential of agile methodologies.”
AI-Enhanced Interfaces
Greeting From Our Partners
Simulation-aided testing methods can produce significant savings during the commissioning of the ship systems. However, there are still technology development needs and testing performance bottlenecks in many areas, including simulation model creation, coordinated multi-systems simulation, usability of the testing simulators, and setting up the different testing environments. The Virtual Sea Trial project has a great consortium to solve these problems. Through the results of the project we at Semantum expect to see growing simulation business in the marine sector.
Tommi Karhela
Valmet Automation expects to reach more automated testing with Digital Twin(s) that can be connected to simulate actual process / machinery.
This will increase automation quality and make faster start-up. Future vision is to use more widely Digital Twins as a part of automated mills.
Mika Karaila
Steerprop’s azimuth propulsions are designed for easy installation, ensuring swift implementation. We look forward to contributing to the creation of new methodologies aimed at optimizing the time required for sea trials. By addressing critical aspects of maritime testing beforehand, our aim is to reduce the time required for propulsion testing during sea trials while maintaining unparalleled quality.
Anu Peippo
The challenging goal in Virtual Sea Trial project is to research and develop virtual testing and commissioning technologies. World class participants are working together generating new knowledge and innovations and increase their competitiveness in global market and reduce CO2 emissions in shipbuilding. This support our mission to make shipping industry more competitive and carbon neutral.
Markku Jokela
Things We are Working On
This video showcases how connecting CAD-modeling software with NVIDIA Omniverse can help automate the creation of realistic, high-detail scenes for mixed reality and industrial metaverse applications.
This repository provides tools for extracting heat-exchanger parameters from PDF datasheets and generating ready-to-use FMU simulation models.
MERI - An open-source package for multi-modal extraction and retrieval of information
This repository provides a python package for parameter extraction from engineering documents leveraging the latest layout detection methods and LLMs.
MH-SISE-PY: Code generation for simultaneous input-and-state estimation
This repository provides a Python implementation of the Moving-Horizon Simultaneous Input-and-State Estimation (MH-SISE) problem. It uses CVXGEN to generate high-performance C-solver code, enabling real-time implementation of convex-optimization solvers in virtual sensor applications.
Virtual Assistant: AI-helper avatar
This project showcases a prototype of an AI-based assistant capable of responding to questions regarding a PDF document. It comprises a Python frontend and a web application built on Three.js.
