City Science are leading a £1m Innovate UK project to deliver digital twin technology that will seamlessly manage complex operations around congested transport networks and building energy management.
The innovation project will apply Artificial Intelligence (AI) developed by the University of Exeter to modelling systems developed by City Science and Hoare Lea to achieve significant improvements to cost and accuracy of Digital Twins. The project will make Digital Twin technology more accessible and valuable to enterprises, businesses and the public sector.
“Digital Twin technology enables cities, companies and organisations to predict in detail what’s going to happen, before it happens. If you’re planning a new road or managing a complex production process, understanding the impacts, being able to avoid negative consequences reduces risk and can save significant amounts of money. Data from sensors allows us to pair a real-world asset or system to a detailed mathematical model making this type of prediction a reality. This project will make Digital Twin systems more accurate and cost-effective bringing the power of this advanced analytics to a much wider audience.”
- Laurence Oakes-Ash, CEO of City Science
Read more at: https://www.exeter.ac.uk/business/news/news/articles/cityscienceexeteruniversi.html#dFpambIkBpk4wJcB.99