28 October 2019
KK Wind Solutions is a key partner in IoTwins: a 20 million euro EU-funded research and innovation project of Horizon 2020.
KK Wind Solutions is member of a 23 partner large international consortium, coordinated by Bonfiglioli and the University of Bologna. The consortium is funded by the Horizon 2020 research and innovation program and will utilise cutting-edge technologies to digitalise industrial processes and products.
The IoTwins project aims to develop 7 large-scale test platforms related both to industrial manufacturing and infrastructure. The platforms will build a reference architecture for the development and deployment of edge-enabled digital twins of physical products and processes. Developing digital twins will involve Internet of Things, Big Data and usage of Artificial Intelligence to train the digital twins.
In addition, 5 of these test platforms will investigate scalability and standardisation of methods and services for digital twins, making it easy for SMEs to develop and apply digital twins to industrial manufacturing and infrastructure regardless of scale or process.
Wind turbine test platform
KK Wind Solutions will together with Bonfiglioli, develop a wind turbine test platform and investigate ways to reduce failure probability, generate predictive maintenance plans and optimise energy production while lowering mechanical stresses by digital twins using innovative edge computing techniques and cloud-based artificial intelligence services.
“Being a key partner in one of the most important European projects of Horizon 2020, is a great privilege, but it also represents KK Wind Solutions’ capabilities within digital solutions and extensive wind turbine experience. As we continuously innovate and break boundaries, we look forward to the collaboration with our partners to advance digitalisation within our industry and ensure a meaningful contribution to global sustainability,” says Henrik Fløe, VP, Global Technology & Innovation, KK Wind Solutions.
What is a Digital Twin?
A digital twin is a virtual representation of a physical product or process, used to understand and predict the physical counterpart’s performance characteristics, which then can be used to detect and diagnose abnormalities, to determine an optimal set of actions that maximise key performance metrics.
The project started on the 1st of September 2019 and will run for the next 3 years
For more information, contact
VP, Global Technology & Innovation
Partnering to develop digital twins