What is the S3 Project?
S3 (Smart People • Smart Process • Smart Factory) is a world-first technological tool, able to significantly reduce carbon emissions and cost in manufacturing. Designed and developed by a combined academic and industrial consortium, it will help meet the pressing sustainability and cost challenges faced by UK manufacturing industries.
With increasing regulation on the reporting of emissions in the UK, such as Streamlined Energy and Carbon Reporting policy (SECR), coupled with consumers urgent demands for sustainable products, S3’s interventional technology has a pivotal role to play in making emission-producing processes transparent and savings tangible.
The S3 project is a unique combination of cutting-edge micro-monitoring, AI-enhanced data analysis and workforce involvement aimed at reducing energy and water use, cutting waste and optimizing production methods to deliver permanent and substantial carbon emission and cost savings.
The S3 Smart Factory delivers those savings, and much more besides. The testbed has recorded savings of 10.9% energy usage and 15% reduction in CO2e emissions within in its first seven months of testing and operation, and we are well on our way to achieving our target of a 30% reduction in energy and CO2e emissions ahead of the project’s conclusion at the end of this year.
The technology deployed includes intensive sub-metering, AI-enhanced analysis of the gathered data, a millimetre-grained ultra-wide band mesh to provide precise real-time location tracking, and, most innovatively of all, gamification of the factory’s operation to reward the workforce individually and as teams for efficiency, reducing emissions and compliance.
Why Choose Ultra-Wideband RTLS Technology
as a solution?
Ultra-Wideband (UWB) Real-Time Location Systems (RTLS) provide high precision, low latency, and strong interference resistance, making them ideal for industrial uses.
Utilising Gamification to improve Sustainability
Shifting Organisational culture through Gamification
Machine Learning & Artificial Intelligence Considerations
Summary Report for S3 Project
Industrial Use Cases
Industrial Use Cases
About the Project Consortium
The project consortium comprises teams from The University of Lincoln, The University of Cambridge, Software Imaging and Raynor Foods. The £2.5m two-year project has received £1.25m in UKRI funding as part of InnovateUK’s effort to prepare the industry for the challenges that face us as we combat global heating.
For more information regarding the consortium and how to reduce carbon emissions.
